References
Section 1.1. Introduction
- Claustre H, Johnson KS, Takeshita Y. 2020. Observing the global ocean with biogeochemical-argo. Ann Rev Mar Sci. 12(1):23–48. doi:https://doi.org/10.1146/annurev-marine-010419-010956.
- CMEMS. 2016. Product quality strategy plan. Available from: https://marine.copernicus.eu/sites/default/files/CMEMS-PQ-StrategicPlan-v1.6-1_0.pdf.
- CMEMS General Assembly. 2020. Available from: https://www.copernicus.eu/en/general-assembly-2020-general-session-presentations.
- Le Traon PY, Reppucci A, Alvarez Fanjul E, Aouf L, Behrens A, Belmonte M, Bentamy A, Bertino L, Brando VE, Kreiner MB, et al. 2019. From observation to information and users: the Copernicus marine service perspective. In: Frontiers in marine science (Vol. 6, p. 234). Available from: https://www.frontiersin.org/article/10.3389/fmars.2019.00234.
- Peterlin M, Isoard S, Royo Gelabert E. 2020. Copernicus marine service ocean state report, issue 4. J Oper Ocean. 13(Supp. 1):S1–S172. doi:https://doi.org/10.1080/1755876X.2020.1785097.
- von Schuckmann K, Le Traon P-Y, Smith N, Pascual A, Brasseur P, Fennel K, Djavidnia S, Aaboe S, Fanjul EA, Autret E, et al. 2018. Copernicus marine service ocean state report. J Oper Oceanogr. 11(sup1):S1–S142. DOI:https://doi.org/10.1080/1755876X.2018.1489208.
Section 1.2 Knowledge and data for international Ocean governance
- European Commission. 2016. Joint communication to the European Parliament, The Council, The European Economic and Social Committee and the committee of the regions – international Ocean governance: an Agenda for the future of our Oceans. In: JOIN(2016) 49 final. Available from: https://ec.europa.eu/maritimeaffairs/sites/maritimeaffairs/files/join-2016-49_en.pdf.
- European Commission. 2019. Improving international Ocean governance – two years of progress. In: JOIN(2019) 4. Available from: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=JOIN:2019:4:FIN.
- European Commission. 2020. The EU blue economy report 2020. Publications Office of the European Union. Available from: website. https://ec.europa.eu/maritimeaffairs/sites/maritimeaffairs/files/2020_06_blueeconomy-2020-ld_final.pdf.
- European Marine Board. 2021. Sustaining in situ ocean observations in the age of the digital ocean. EMB Policy Brief No. 9, June 2021. DOI:https://doi.org/10.5281/zenodo.4836060.
- G7 Science and Technology Ministers. 2016. Tsukuba communiqué. In: Meeting in Tsukuba, Ibaraki. Available from: https://www.japan.go.jp/g7/_userdata/common/data/20160517communique.pdf.
- Speich S, Lee T, Muller-Karger FE, Lorenzoni L, Pascual A, Jin D, … Ackerman A. 2019. Editorial: Oceanobs’19: an Ocean of opportunity. Frontiers in marine science, 6. doi:10.3389/fmars.2019.00570.
- United Nations. 1982. United Nations Convention on the Law of the Sea. Available from: https://www.un.org/depts/los/convention_agreements/texts/unclos/unclos_e.pdf.
- United Nations. 2015. Transforming our world: the 2030 Agenda for sustainable development. In: A/RES/70/1. doi:10.1007/s13398-014-0173-7.2.
References
Section 2.1. Modelled sea-ice volume and area transport from the Arctic Ocean to the Nordic and Barents Seas
- Aagaard K, Carmack EC. 1989. The role of sea ice and other fresh water in the Arctic circulation. J Geophys Res. 94(C10):14485–14498.
- Aagaard K, Swift JH, Carmack EC. 1985. Thermohaline circulation in the Arctic Mediterranean seas. J Geophys Res. 90(C7):4833–4846.
- Årthun M, Eldevik T, Smedsrud LH, Skagseth Ø, Ingvaldsen RB. 2012. Quantifying the influence of Atlantic heat on Barents Sea Ice variability and retreat. J Clim. 25:4736–4743.
- Beszczynzka-Möller A, Fahrbach E, Schauer U, Hansen E. 2012. Variability in Atlantic water temperature and transport at the entrance to the Arctic Ocean, 1997–2010. ICES J Mar Sci. 69(5):852–863.
- Bi H, Sun K, Zhou X, Huang H, Xu X. 2016. Arctic Sea Ice area export through the Fram Strait estimated from satellite-based data: 1988–2012. IEEE J Select Top Appl Ear Observat Remot Sens. 9(7):3144–3157.
- Bi HB, Wang YH, Zhang WF, Zhang ZH, Liang Y, Zhang Y, Hu WM, Fu M, Huang HJ. 2018. Recent satellite-derived sea ice volume flux through the Fram Strait: 2011–2015. Acta Oceanologica Sinica. 37(9):107–115.
- Chikhar K, Lemieux JF, Dupont F, Roy F, Smith GC, Brady M, Howell SEL, Beaini R. 2019. Sensitivity of ice drift to form drag and ice strength parameterization in a coupled ice-ocean model. Atmos Ocean. 57(5):329–349.
- Dansereau V, Weiss J, Saramito P, Lattes P. 2016. A Maxwell elasto-brittle rheology of sea ice modelling. Cryosphere. 10(3):1339–1359.
- Fahrbach E, Meincke J, Østerhus S, Rohardt G, Schauer U, Tverberg V, Verduin J. 2001. Direct measurements of volume transports through Fram Strait. Polar Res. 20(2):217–224.
- Fossheim M, Primicerio R, Johannesen E, Ingvaldsen RB, Aschan MM, Dolgov AV. 2015. Recent warming leads to a rapid borealization of fish communities in the Arctic. Nat Clim Change. doi:https://doi.org/10.1038/nclimate2647.
- Hansen E, Gerland S, Granskog MA, Pavlova O, Renner AHH, Haapala J, Løyning TB, Tschudi M. 2013. Thinning of Arctic sea ice observed in Fram Strait: 1990–2011. J Geophys Res-Ocean. 118(10):5202–5221.
- Holland MM, Bitz CM, Eby M, Weaver AJ. 2001. The role of ice-ocean interactions in the variability of the North Atlantic thermohaline circulation. J Clim. 14(5):656–675.
- Hunke EC, Dukowicz JK. 1997. An elastic-viscous-plastic mode for sea ice dynamics. J Phys Oceanogr. 27:1849–1867.
- Ivanov V, Alexeev N, Koldunov N, Repina I, Sandø A, Smedsrud L, Smirnov A. 2016. Arctic Ocean heat impact on regional ice decay – a suggested positive feedback. J Phys Oceanogr. 46:1437–1456.
- Lind S, Ingvaldsen RB, Furevik T. 2018. Arctic warming hotspot in the northern Barents Sea linked to declining sea ice import. Nat Clim Change. doi:https://doi.org/10.1038/s41558-018-0205-y.
- Lique C, Treguier AM, Scheinert M, Penduff T. 2009. A model-based study of ice and freshwater transport variability along both sides of Greenland. Clim Dyn. 33:685–705.
- Loeng H. 1991. Features of the physical oceanographic conditions of the Barents Sea. Polar Res. 10(1):5–18.
- Onarheim IH, Eldevik T, Årthun M, Ingvaldsen RB, Smedsrud LH. 2015. Skillful prediction of Barents Sea ice cover. Geophys Res Lett. 42(13):5364–5371.
- Polyakov IV, Alkire MB, Bluhm BA, Brown KA, Carmack EC, Chierici M, Danielson SL, Ellingsen I, Ershova EA, Gårdfeldt K, et al. 2020a. Borealization of the Arctic Ocean in response to anomalous advection from sub-Arctic Seas. Front Mar Sci. 7:491. doi:https://doi.org/10.3389/fmars.2020.00491.
- Polyakov IV, Pnyushkov AV, Alkire MB, Ashik IM, Baumann TM, Carmack EC, Goszczko I, Guthrie J, Ivanov VV, Kanzow T, et al. 2017. Greater role for Atlantic inflows on sea-ice loss in the Eurasian Basin of the Arctic ocean. Science. doi:https://doi.org/10.1126/science.aai8204.
- Polyakov IV, Rippeth TP, Fer I, Alkire MB, Baumann TM, Carmack EC, Ingvaldsen R, Ivanov VV, Janout M, Lind S, et al. 2020b. Weakening of cold halocline layer exposes Sea Ice to oceanic heat in the Eastern Arctic Ocean. J Clim. 33:8107–8123. doi:https://doi.org/10.1175/JCLI-D-19-0976.1.
- Rabe B, Dodd PA, Hansen E, Falck E, Schauer U, Mackensen A, Beszczynska-Möller A, Kattner G, Rohling EJ, Cox K. 2013. Liquid export of Arctic freshwater components through the Fram Strait 1998–2011. Ocean Sci. 9(1):91–109.
- Rampal P, Weiss J, Dubois C, Campin J-M. 2011. IPCC climate models do not capture Arctic sea ice drift acceleration: consequences in terms of projected sea ice thinning and decline. J Geophys Res. 116:C00D07. doi:https://doi.org/10.1029/2011JC007110.
- Ricker R, Girard-Ardhuin F, Krumpen T, Lique C. 2018. Satellite-derived sea ice export and its impact on Arctic ice mass balance. The Cryosphere. 12:3017–3032.
- Sakov P, Counillon F, Bertino L, Lisæter KA, Oke PR, Korablev A. 2012. TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. Ocean Sci. 8(4):633–656.
- Skagseth Ø, Eldevik T, Årthun M, Asbjørnsen H, Lien VS, Smedsrud LH. 2020. Reduced efficiency of the Barents Sea cooling machine. Nat Clim Change. doi:https://doi.org/10.1038/s41558-020-0772-6.
- Smedsrud LH, Esau I, Ingvaldsen RB, Eldevik T, Haugan PM, Li C, Lien VS, Olsen A, Omar AM, Otterå OH, et al. 2013. The role of the Barents Sea in the climate system. Rev Geophys. 51:415–449.
- Smedsrud LH, Halvorsen MH, Stroeve JC, Zhang R, Kloster K. 2017. Fram Strait sea ice export variability and September Arctic sea ice extent over the last 80 years. Cryosphere. 11(1):65–79.
- Smedsrud LH, Sirevaag A, Kloster K, Sorteberg, Sandven S. 2011. Recent wind driven high sea ice area export in the Fram Strait contributes to Arctic sea ice decline. Cryosphere. 5(4):821–829.
- Sorteberg A, Kvingedal B. 2006. Atmospheric forcing on the barents sea winter ice extent. J Clim. 19(19):4772–4784. y. [accessed 2021 Jul 12]. https://journals.ametsoc.org/view/journals/clim/19/19/jcli3885.1.xml
- Spreen G, de Steur L, Divine D, Gerland S, Hansen E, Kwok R. 2020. Arctic sea ice volume export through Fram Strait from 1992 to 2014. J Geophys Res – Ocean. 125(6):e2019JC016039.
- Spreen G, Kern S, Stammer D, Hansen E. 2009. Fram Strait sea ice volume export estimated between 2003 and 2008 from satellite data. Geophys Res Lett. 36:L19502.
- Sumata H, Kwok R, Gerdes R, Kauker F, Karcher M. 2015. Uncertainty of Arctic summer ice drift assessed by high-resolution SAR data. J Geophys Res – Ocean. 120(8):5285–5301.
- Tsukernik M, Deser C, Alexander M, Tomas R. 2010. Atmospheric forcing of Fram Strait sea ice export: a closer look. Clim Dyn. 35:1349–1360.
- van Angelen JH, van den Broeke MR, Kwok R. 2011. The Greenland Sea Jet: a mechanism for wind-driven sea ice export through Fram Strait. Geophys Res Lett. 38:L12805.
- Vinje T, Nordlund N, Kvambekk Å. 1998. Monitoring ice thickness in Fram Strait. J Geophys Res. 103(C5):10437–10449.
- Widell K, Østerhus S, Gammelsrød T. 2003. Sea ice velocity in the Fram Strait monitored by moored instruments. Geophys Res Lett. 30(19):1982. doi:https://doi.org/10.1029/2003GL018119.
- Xie J, Counillon F, Bertino L. 2018. Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere. 12(11):3671–3691. DOI:https://doi.org/10.5194/tc-12-3671-2018.
- Zamani B, Krumpen T, Smedsrud LH, Gerdes R. 2019. Fram Strait sea ice export affected by thinning: comparing high-resolution simulations and observations. Clim Dyn. 53:3257–3270.
- Zhang JL, Lindsay R, Steele M, Schweiger A. 2008. What drove the dramatic retreat of Arctic sea ice during summer 2007? Geophys Res Lett. 35(11):L11505.
- Zhang ZH, Bi HB, Sun K, Huang HJ, Liu YX, Yan LW. 2017. Arctic sea ice volume export through the Fram Strait from combined satellite and model data: 1979–2012. Acta Oceanologica Sinica. 36:44–55.
Section 2.2. Ocean heat content in the High North
- Aagaard K, Swift JH, Carmack C. 1985. Thermohaline circulation in the Arctic Mediterranean Seas. J Geophys Res. 90(C3):4833–4846.
- Årthun M, Eldevik T. 2016. On anomalous ocean heat transport toward the Arctic and associated climate predictability. J Clim. 29:689–704.
- Årthun M, Eldevik T, Smedsrud LH. 2019. The role of Atlantic heat transport in future Arctic winter sea ice loss. J Clim. 32:3327–3341.
- Asbjørnsen H, Årthun M, Skagseth Ø, Eldevik T. 2019. Mechanisms of ocean heat anomalies in the Norwegian sea. J Geophys Res Oceans. 124(4):2908–2923. DOI:https://doi.org/10.1029/2018JC014649.
- Carton JA, Chepurin GA, Reagan* J, Hakkinen S. 2011. Interannual to decadal variability of Atlantic Water in the Nordic and adjacent seas. J Geophys Res. 116:C11035. DOI:https://doi.org/10.1029/2011JC007102.
- Cheng L, Trenberth KE, Fasullo J, Abraham J, Boyer TP, von Schuckmann K, Zhu J. 2017. Taking the pulse of the planet. Eos. 98. doi:https://doi.org/10.1029/2017EO081839. Published on 13 September 2017.
- Dmitrenko IA, Kirillov SA, Serra N, Koldunov NV, Ivanov VV, Schauer U, Polyakov IV, Barber D, Janout M, Lien VS, et al. 2014. Heat loss from the Atlantic water layer in the St. Anna Trough (northern Kara Sea): causes and consequences. Ocean Sci. 10:719–730.
- Furevik T. 2001. Annual and interannual variability of Atlantic Water temperatures in the Norwegian and Barents Seas: 1980–1996. Deep-Sea Res I. 48:383–404.
- González-Pola C, Larsen KMH, Fratantoni P, Beszczynska-Möller A, eds. 2019. ICES report on Ocean climate 2018. ICES cooperative research report no. 349. 122 pp. doi:10.17895/ices.pub.5461.
- Guinehut S, Dhomps A, Larnicol G, Le Traon P-Y. 2012. High resolution 3-d temperature and salinity fields derived from in situ and satellite observations. Ocean Sci. 8(5):845–857.
- Isachsen PE, Koszalka I, LaCasce JH. 2012. Observed and modeled surface eddy heat fluxes in the eastern Nordic seas. J Geophys Res. 117:C08020.
- Ivanov V, Alexeev V, Koldunov NV, Repina I, Sandø AB, Smedsrud LH, Smirnov A. 2016. Arctic Ocean heat impact on regional ice decay: a suggested positive feedback. J Phys Oceanogr. 46:1437–1456.
- Lien VS, Trofimov AG. 2013. Formation of Barents Sea branch water in the north-eastern Barents Sea. Polar Res. 32:18905.
- Locarnini RA, Mishonov AV, Baranova OK, Boyer TP, Zweng MM, Garcia HE, Reagan JR, Seidov D, Weathers K, Paver CR, Smolyar I. 2018. World Ocean Atlas 2018, volume 1: temperature. A. mishonov technical Ed.; NOAA Atlas NESDIS 81, 52 p.
- Mauritzen C. 1996. Production of dense overflow waters feeding the North Atlantic across the Greenland-Scotland Ridge. Part 1: evidence for a revised circulation scheme. Deep Sea Res Part I. 43:769–806.
- Mayer M, Haimberger L, Pietschnig M, Storto A. 2016. Facets of Arctic energy accumulation based on observations and reanalyses 2000–2015. Geophys Res Lett. 43:10420–10429. doi:https://doi.org/10.1002/2016GL070557.
- Mayer M, Tietsche S, Haimberger L, Tsubouchi T, Mayer J, Zuo H. 2019. An improved estimate of the coupled Arctic energy budget. J Clim. 32(22):7915–7934.
- Mork KM, Skagseth Ø. 2012. Heat content in the Norwegian Sea, 1995–2010. ICES J Mar Sci. 69:826–832.
- Mork KM, Skagseth Ø, Søiland H. 2019. Recent warming and freshening of the Norwegian Sea observed by Argo data. J Climate. 32:3695–3705.
- Pietschnig M, Mayer M, Tsubouchi T, Storto A, Stichelberger S, Haimberger L. 2018. Volume transports and temperature distributions in the main arctic gateways: a comparative study between an ocean reanalysis and mooring-derived data. doi:10.31223/osf.io/5hg3z.
- Polyakov IV, Pnyushkov AV, Alkire MB, Ashik IM, Baumann TM, Carmack EC, Goszczko I, Guthrie J, Ivanov VV, Kanzow T, et al. 2017. Greater role for Atlantic inflows on sea-ice loss in the Eurasian Basin of the Arctic Ocean. Science. 356(6335):285–291.
- Polyakov IV, Rippeth TP, Fer I, Alkire MB, Baumann TM, Carmack EC, Ingvaldsen R, Ivanov VV, Janout M, Lind S, Padman L, et al. 2020. Weakening of cold halocline layer exposes sea ice to oceanic heat in the Eastern Arctic Ocean. J Clim. 33(18):8107–8123.
- Proshutinsky A, Dukhovskoy D, Timmermans M-L, Krishfield R, Bamber JL. 2015. Arctic circulation regimes. Phil Trans R Soc A 373:20140160. doi:https://doi.org/10.1098/rsta.2014.0160
- Robson J, Sutton R, Lohmann K, Smith D, Palmer MD. 2012. Causes of the rapid warming of the North Atlantic Ocean in the mid-1990s. J Clim. 25:4116–4134.
- Segtnan OH, Furevik T, Jenkins AD. 2011. Heat and freshwater budgets of the Nordic seas computed from atmospheric reanalysis and ocean observations. J Geophys Res. 116:C11003.
- Serreze MC, Barry RG. 2011. Processes and impacts of Arctic amplification: a research synthesis. Global Planet Change. 77:85–96. doi:https://doi.org/10.1016/j.gloplacha.2011.03.004.
- Skagseth Ø, Eldevik T, Årthun M, Asbjørnsen H, Lien VS, Smedsrud LH. 2020. Reduced efficiency of the Barents Sea cooling machine. Nat Clim Change. doi:https://doi.org/10.1038/s41558-020-0772-6.
- Timmermans ML, Toole J, Krishfield R. 2018. Warming of the interior Arctic Ocean linked to sea ice losses at the basin margins. Sci Adv. 4(8):eaat6773.
- Tsubouchi, et al. 2020. Increased ocean heat transport into the Nordic Seas and Arctic Ocean over the period 1993–2016. Nat Clim Chang. 11:21–26. doi:https://doi.org/10.1038/s41558-020-00941-3.
- Uotila P, Goosse H, Haines K, Chevallier M, Barthélemy A, Bricaud C, Carton J, Fučkar N, Garric G, Iovino D, et al. 2019. An assessment of ten ocean reanalyses in the polar regions. Clim Dyn. 52(3–4):1613–1650.
- von Schuckmann, K, et al. 2018. Copernicus Marine service Ocean state report. J Oper Oceanogr 11:S1–S142. https://marine.copernicus.eu/science-learning/ocean-state-report/oceanstate-report-2nd-issue/.
- von Schuckmann K, Cheng L, Palmer MD, Tassone C, Aich V, Adusumilli S, Beltrami H, Boyer T, Cuesta-Valero FJ, Desbruyères D, et al. 2020. Heat stored in the earth system: where does the energy go? The GCOS Earth heat inventory team. Earth Syst Sci Data Discuss. doi:https://doi.org/10.5194/essd-2019-255. in review.
- Von Schuckmann K, Palmer MD, Trenberth KE, Cazenave A, Chambers D, Champollion N, Hansen J, Josey S, Loeb N, Mathieu P-P, et al. 2016. An imperative to monitor earth’s energy imbalance. Nat Clim Change. 6(2):138–144.
Section 2.3. Declining silicate and nitrate concentrations in the northern North Atlantic
- Barofsky A, et al. 2010. Growth phase of the diatom skeletonema marinori influences the metabolic profile of the cells and the selective feeding of the copepod Calanus spp. J Plankt Res. 32:263–272.
- Bendschneider K, Robinson RI. 1952. A new spectrophotometric method for the determination of nitrite in seawater. J Mar Res. 2:87–96.
- Berx B, Payne M. 2016. Sub-polar gyre index. doi:10.7489/1806-1.
- Daniels CJ, et al. 2015. Phytoplankton dynamics in contrasting early stage North Atlantic spring blooms: composition, succession, and potential drivers. Biogeosciences. 12:2395–2409.
- Egge J, Aksnes D. 1992. Silicate as regulating nutrient in phytoplankton competition. Mar Ecol Prog Ser. 83:281–289.
- Eiane K, Tande KS. 2009. Meso and microzooplankton, pp. 209–234. In: Sakshaug E., G. Johnsen, K. Kovac, editor. Ecosystem Barents Sea. Norway: Tapir Academic Press; 587 pp.
- Furnas MJ. 1990. In situ growth rates of marine phytoplankton: approaches to measurement, community and species growth rate. J Plankton Res. 12:1117–1151.
- Garcia HE, et al. 2006. World Ocean Atlas 2005, vol. 4, nutrients (phosphate, nitrate, silicate), 396 pp. In: Levitus S, editor. NOAA Atlas NESDIS, vol. 64. Silver Spring, MD: NOAA.
- Gjøsæther H. 2009. Commercial fisheries (fish, seafood and marine mammals), pp. 373–414. In: Sakshaug E., G. Johnsen, K. Kovac, editor. Ecosystem Barents Sea, 587 pp.
- Grasshoff K. 1965. On the Automatic Determination of Phosphate, Silicate and Fluoride in Seawater. ICES Hydrographic Committee Report No. 129. ICESHydrographic Committee Report No. 129. ICES. https://www.ices.dk/.
- Hátún H, et al. 2005. Influence of the Atlantic Subpolar gyre on the thermohaline circulation. Science. 309:1841–1844.
- Hátún H, et al. 2017. The subpolar gyre regulates silicate concentrations in the North Atlantic. Sci Rep. 7:14576.
- Honjo S, Manganini SJ. 1993. Annual biogenic particle fluxes to the interior of the North Atlantic Ocean studied at 34-degrees N 21-degrees W and 48 degrees N 21 degrees W. Deep-Sea Res II. 40:587–607.
- Irigoien X, et al. 2000. Feeding selectivity and egg production of Calanus helgolandicus in the English Channel. Limnol Oceanogr. 45:44–54.
- Jaccard, P. et al. 2020. Quality information document for global ocean reprocessed in-situ observations of biogeochemical products. Issue 2.0, 77 pp. doi:10.13155/54846
- Johnson C, et al. 2013. Declining nutrient concentrations in the northeast Atlantic, as a result of a weakening Subpolar Gyre. Deep-Sea Res. 82:95–107.
- Jonasdottir SH. 1994. Effects of food quality on reproductive success in Acartia tonsa and Acartia hudsonica - laboratory observations. Mar Biol. 121:67–81.
- Mayzaud P, et al. 1996. The influence of food quality on the nutritional acclimation of the copepod Acartia clausi. In: 6th international conference on Copepoda, Elsevier, Germany, pp. 483–493.
- McCartney MS, Mauritzen C. 2001. On the origin of warm inflow to the Nordic Seas. Prog Oceanogr. 51:125–214.
- McQuatters-Gollop A, et al. 2007. A long-term chlorophyll data set reveals regime shift in North Sea phytoplankton biomass unconnected to nutrient trends. Limnol Oceanogr. 52:635–648.
- Melle W, et al. 2004. Zooplankton: the link to higher trophic levels. In: Skjoldal H.R, editor. The Norwegian Sea Ecosystem. Norway: Tapir Academic Press; p. 209–234.
- Meyer-Harms B, et al. 1999. Selective feeding on natural phytoplankton by Calanus finmarchicus before, during, and after the 1997 spring bloom in the Norwegian Sea. Limnol Oceanogr. 44:154–165.
- Moore PE, et al. 1999. Physical constraints of chemoreception in foraging copepods. Limnol Oceanogr. 44:166–177.
- Officer CB, Ryther JH. 1980. The possible importance of silicon in marine eutrophication. Mar Ecol Prog Ser. 3:83–91.
- Olsen MB, et al. 2006. Copepod feeding selectivity on microplankton, including the toxigenic diatoms, Pseudo-nitzchia spp. in the coastal Pacific Northwest. Mar Ecol Prog Ser. 326:207–220.
- Pollock DE. 1997. The role of diatoms, dissolved silicate and Antarctic glaciation in glacial/interglacial climate change; a hypothesis. Global Planet Change. 14:113–125.
- Pond D, et al. 1996. Environmental and nutritional factors determining seasonal variability in the fecundity and egg viability of Calanus helgolandicus in coastal waters off Plymouth, UK. Mar Ecol Prog Ser. 143:45–63.
- Rey F. 2004. Phytoplankton: the grass of the ocean. In: Skjoldal H.R, editor. The Norwegian Sea Ecosystem. Norway: Tapir Academic Press; p. 97–136.
- Rey F. 2012. Declining silicate concentrations in the Barents Sea. ICES J Mar Sci. 69:208–212.
- Sarafanov A. 2009. On the effect of the North Atlantic Oscillation on temperature and salinity of the subpolar North Atlantic intermediate and deep waters. ICES J Mar Sci. 66:1448–1454.
- Savidge G, et al. 1995. A study of the spring bloom in the N–E Atlantic Ocean in 1990. Deep Sea Res. 42:599–617.
- Schlosser P, et al. 1995. The role of the large-scale Arctic Ocean circulation in the transport of contaminants. Deep-Sea Research II. 42:1341–1367.
- Selander E, et al. 2006. Copepods induce paralytic shellfish toxin production in marine dinoflagellates. Proc R Soc Lond Ser B. 273:1673–1680.
- Skjoldal HR, et al. 2004. Food webs and trophic interactions. In: Skjoldal H.R, editor. The Norwegian Sea Ecosystem. Norway: Tapir Academic Press; p. 447–506.
- Smayda TJ, et al. 1990. Novel and nuisance phytoplankton blooms in the sea: evidence for global epidemic. In: Graneli E, editor. Toxic marine phytoplankton. New York, NY: Elsevier; p. 29–40.
- Volk T, Hoffert MI. 1985. Ocean Carbon pumps: analysis of relative strengths and efficiencies in Ocean-driven atmospheric CO2 changes. In: Sundquist E.T., W.S. Broecker, editor. The Carbon cycle and atmospheric CO2: natural variations archean to present, geophysical monograph series, vol. 32. doi:https://doi.org/10.1029/GM032p0099
Section 2.4. Eutrophic and oligotrophic indicators for the North Atlantic Ocean
- Andersen JH, Kallenbach E, Murray C, Ledang AB. 2016. Eutrophication in the Danish parts of the North Sea, Skagerrak and Kattegat 2006–2014. A literature-based status assessment. NIVA Denmark Report. https://brage.bibsys.no/xmlui/handle/11250/2406499.
- Anderson DM, Glibert PM, Burkholder JM. 2002. Harmful algal blooms and eutrophication: nutrient sources, composition, and consequences. Estuaries. 25:704–726. doi:https://doi.org/10.1007/BF02804901.
- Attila J, Kauppila P, Kallio KY, Alasalmi H, Keto V, Bruun E, Koponen S. 2018. Applicability of earth observation chlorophyll-a data in assessment of water status via MERIS – with implications for the use of OLCI sensors. Remote Sens Environ. 212:273–287. doi:https://doi.org/10.1016/j.rse.2018.02.043.
- Balmer MB, Downing JA. 2011. Carbon dioxide concentrations in eutrophic lakes: undersaturation implies atmospheric uptake. Inland Waters. 1(2):125–132. doi:https://doi.org/10.5268/IW-1.2.366.
- Baretta-Bekker H, Sell A, Marco-Rius F, Wischnewski J, Walsham P, Malin Mohlin L, Wesslander K, Ruiter H, Gohin F, Enserink L. 2015. The chlorophyll case study in the JMP NS/CS project. Document produced as part of the EU project: ‘Towards joint Monitoring for the North Sea and Celtic Sea’ (Ref: ENV/PP 2012/SEA).
- Blauw A, Eleveld M, Prins T, Zijl F, Julien Groenenboom J, Gundula Winter G, Kramer L, Troost T, Bartosova A, Johansson J, et al. 2019. Coherence in assessment framework of chlorophyll-a and nutrients as part of the EU project ‘Joint monitoring programme of the eutrophication of the North Sea with satellite data’ (Ref: DG ENV/MSFD Second Cycle/2016). Activity 1 Report.
- Breitburg D, Levin LA, Oschlies A, Grégoire M, Chavez FP, Conley DJ, Garçon V, Gilbert D, Gutiérrez D, Isensee K, Jacinto GS. 2018. Declining oxygen in the global ocean and coastal waters. Science. 359(6371):eaam7240.
- Cai W, Hu X, Huang W. 2011. Acidification of subsurface coastal waters enhanced by eutrophication. Nature Geosci. 4:766–770. https://doi.org/10.1038/ngeo1297.
- Carvalho L, Mackay EB, Cardoso AC, Baattrup-Pedersen A, Birk S, Blackstock KL, Borics G, Borja A, Feld CK, Ferreira MT, et al. 2019. Protecting and restoring Europe’s waters: an analysis of the future development needs of the water framework directive. Sci Total Environ. 658:1228–1238. doi:https://doi.org/10.1016/j.scitotenv.2018.12.255.
- CMEMS OMI catalogue. 2020. ATLANTIC_OMI_HEALTH_OceanColour_anomalies. Available from: https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=ATLANTIC_OMI_HEALTH_OceanColour_anomalies.
- Coppini G, Lyubartsev V, Pinardi N, Colella S, Santoleri R, Christiansen T. 2012. Chl-a trends in European seas estimated using ocean-colour products. Ocean Sci Discus. 9:1481–1518. doi:https://doi.org/10.5194/osd-9-1481-2012.
- Cristina S, Icely J, Goela PC, DelValls TA, Newton A. 2015. Using remote sensing as a support to the implementation of the European Marine Strategy Framework Directive in SW Portugal. Cont Shelf Res. 108:169–177.
- Ferreira JG, Andersen JH, Borja A, Bricker SB, Camp J, Cardoso da Silva M, Garcés E, Heiskanen A-S, Humborg C, Ignatiades L, et al. 2011. Overview of eutrophication indicators to assess environmental status within the European Marine strategy framework directive. Estuarine Coastal Shelf Sci. 93(2):117–131. doi:https://doi.org/10.1016/j.ecss.2011.03.014.
- Galloway JN, Townsend AR, Erisman JW, Bekunda M, Cai Z, Freney JR, Martinelli LA, Seitzinger SP, Sutton MA. 2008. Transformation of the nitrogen cycle: recent trends, questions, and potential solutions. Science. 320(5878):889–892. doi:https://doi.org/10.1126/science.1136674.
- Gohin F, Bryère P, Lefebvre A, Sauriau P-G, Savoye N, Vantrepotte V, Bozec Y, Cariou T, Conan P, Coudray S, et al. 2020. Satellite and in situ monitoring of Chl-a, turbidity, and total suspended matter in coastal waters: experience of the year 2017 along the French coasts. J Mar Sci Eng. 8(9):665. doi:https://doi.org/10.3390/jmse8090665.
- Gohin F, Saulquin B, Oger-Jeanneret H, Lozac’h L, Lampert L, Lefebvre A, Riou P, Bruchon F. 2008. Towards a better assessment of the ecological status of coastal waters using satellite-derived chlorophyll-a concentrations. Remote Sens Environ. 112:3329e3340.
- Gohin F, Van der Zande D, Tilstone G, Eleveld MA, Lefebvre A, Andrieux-Loyer F, Blauw AN, Bryère P, Devreker D, Garnesson P, et al. 2019. Twenty years of satellite and in situ observations of surface chlorophyll-a from the northern Bay of Biscay to the eastern English Channel. Is the water quality improving? Remote Sens Environ. 233:111343. doi:https://doi.org/10.1016/j.rse.2019.111343.
- Ha NTT, Koike K, Nhuan MT. 2014. Improved accuracy of chlorophyll-a concentration estimates from MODIS imagery using a two-band ratio algorithm and geostatistics: as applied to the monitoring of eutrophication processes over tien Yen Bay (Northern Vietnam). Remote Sens (Basel). 6:421–442.
- Harvey ET, Kratzer S, Philipson P. 2015. Satellite-based water quality monitoring for improved spatial and temporal retrieval of chlorophyll-a in coastal waters. Remote Sens Environ. 158:417–430. doi:https://doi.org/10.1016/j.rse.2014.11.017.
- Howarth RW, Anderson DB, Cloer JE, Elfring C, Hopkinson CS, Lapointe B, Malone T, Marcus N, McGlathery K, Sharpley AN, et al. 2000. Nutrient pollution of coastal rivers, bays, and seas. Issues Ecol. 7:1–16.
- Howarth, RW, Marino R. 2006. Nitrogen as the limiting nutrient for eutrophication in coastal marine ecosystems: Evolving views over three decades. Limnol Oceanogr. 51(1, part 2). doi:https://doi.org/10.4319/lo.2006.51.1_part_2.0364.
- Jickells TD. 1998. Nutrient biogeochemistry of the coastal zone. Science. 281:217–222. doi:https://doi.org/10.1126/science.281.5374.217.
- Lefebvre A, Guiselin N, Barbet F, Artigas LF. 2011. Long-term hydrological and phytoplankton monitoring (1992–2007) of three potentially eutrophicated systems in the eastern English Channel and the southern bight of the North Sea ICES. J Mar Sci. 68(10):2029–2043. https://doi.org/10.1093/icesjms/fsr149.
- Malone TC, Newton A. 2020. The globalization of cultural eutrophication in the coastal ocean: causes and consequences. Front Mar Sci. 7:670. doi:https://doi.org/10.3389/fmars.2020.00670.
- Murray CJ, Müller-Karulis B, Carstensen J, Conley DJ, Gustafsson BG, Andersen JH. 2019. Past, present and future eutrophication status of the Baltic Sea. Front Mar Sci. 6(2). doi:https://doi.org/10.3389/fmars.2019.00002.
- Novoa S, Chust G, Sagarminaga Y, Revilla M, Borja A, Franco J. 2012. Water quality assessment using satellite-derived chlorophyll – a within the European directives, in the southeastern Bay of biscay. Mar Pollut Bull. 65:739–750. doi:https://doi.org/10.1016/j.marpolbul.2012.01.020.
- NOWPAP CEARAC – Northwest Pacific Action Plan Special Monitoring and Coastal Environmental Assessment Regional Activity Centre. 2007. Eutrophication monitoring guidelines by Remote Sensing for the NOWPAP region. Toyama City, Japan. Availble from: https://www.cearac-project.org/wg4/publications/Eutrophication_GL_RS.pdf.
- OSPAR ICG-EUT. Axe, P., Clausen, U., Leujak, W., Malcolm, S., Ruiter, H., Prins, T., Harvey, E.T. (2017). Eutrophication Status of the OSPAR Maritime Area. Third Integrated Report on the Eutrophication Status of the OSPAR Maritime Area.
- Papathanasopoulou E, Simis S, Alikas K, Ansper A, Anttila S, Attila J, Barillé AL, Barillé L, Brando V, Bresciani M, et al. 2019. Satellite-assisted monitoring of water quality to support the implementation of the water framework directive. EOMORES White Paper. 28. doi:https://doi.org/10.5281/zenodo.3463051.
- Park Y, Ruddick K, Lacroix G. 2010. Detection of algal blooms in European waters based on satellite chlorophyll data from MERIS and MODIS. Int J Remote Sens. 31:6567–6583.
- Sathyendranath S, Pardo S, Benincasa M, Brando VE, Brewin RJW, Mélin F, Santoleri R. 2018. 1.5. Essential variables: Ocean colour in Copernicus Marine service Ocean state report – issue 2. J Operat Oceanogr. 11(Suppl. 1)):1–142. doi:https://doi.org/10.1080/1755876X.2018.1489208.
- Schindler DW. 2006. Recent advances in the understanding and management of eutrophication. Limnol Oceanogr. 51:356–363.
- Smith VH. 2003. Eutrophication of freshwater and coastal marine ecosystems a global problem. Environ Sci Poll Res. 10:126–139. https://doi.org/10.1065/espr2002.12.142.
- Van der Zande D, Lacroix G, Desmit X, Ruddick K. 2011. Impact of irregular sampling by MERIS on eutrophication monitoring products for WFD and MSFD applications. Proceedings of the 6th 683 EuroGOOS Conference, Sopot, Poland; p. 348–357.
- Van der Zande D, Lavigne H, Blauw A, Prins T, Desmit X, Eleveld M, Gohin F, Pardo S, Tilstone G, Cardoso Dos Santos J. 2019. Enhance coherence in eutrophication assessments based on chlorophyll, using satellite data as part of the EU project ‘Joint monitoring programme of the eutrophication of the North Sea with satellite data’ (Ref: DG ENV/MSFD Second Cycle/2016). Activity 2 Report.
- Van der Zande D, Ruescas A, Storm T, Embacher S, Stelzer K, Ruddick K. 2013. Monitoring eutrophication in the North Sea: an operational CHL-P90 tool. Proceedings of IOCS2013 conference held in Darmstadt, Germany, 6–8 May 2013.
- Van Meerssche E, Pinckney JL. 2019. Nutrient loading impacts on Estuarine phytoplankton size and community composition: community-based indicators of eutrophication. Estuaries Coasts. 42:504–512. doi:https://doi.org/10.1007/s12237-018-0470-z.
- Wallace RB, Baumann H, Grear JS, Aller RB, Gobler CJ. 2014. Coastal ocean acidification: The other eutrophication problem. Estuarine Coastal Shelf Sci. 148:1–13. doi:https://doi.org/10.1016/j.ecss.2014.05.027.
Section 2.5. Nitrate, ammonium and phosphate pools in the Baltic Sea
- Almroth-Rosell E, Eilola K, Kuznetsov I, Hall PO, Meier HM. 2015. A new approach to model oxygen dependent benthic phosphate fluxes in the Baltic Sea. J Mar Sys. 144:127–141. doi:https://doi.org/10.1016/j.jmarsys.2014.11.007.
- Andersen JH, Carstensen J, Conley DJ, Dromph K, Fleming-Lehtinen V, Gustafsson BG, Josefson AB, Norkko A, Villnäs A, Murray C. 2017. Long-term temporal and spatial trends in eutrophication status of the Baltic Sea. Biol Rev. 92(1):135–149. doi:https://doi.org/10.1111/brv.12221.
- Asmala E, Carstensen J, Conley DJ, Slomp CP, Stadmark J, Voss M. 2017. Efficiency of the coastal filter: nitrogen and phosphorus removal in the Baltic Sea. Limnol Oceanogr. 62:S222–S238. doi:https://doi.org/.10.1002/lno.10644.
- Bonaglia S, Hylén A, Rattray JE, Kononets MY, Ekeroth N, Roos P, Thamdrup B, Brüchert V, Hall PO. 2017. The fate of fixed nitrogen in marine sediments with low organic loading: an in situ study. Biogeosciences. 14(2):285–300. doi:https://doi.org/10.5194/bg-14-285-2017.
- Bonaglia S, Klawonn I, De Brabandere L, Deutsch B, Thamdrup B, Brüchert V. 2016. Denitrification and DNRA at the Baltic Sea oxic–anoxic interface: substrate spectrum and kinetics. Limnol Oceanogr. 61(5):1900–1915. doi:https://doi.org/10.1002/lno.10343.
- Buga L, Sarbu G, Fryberg L, Magnus W, Wesslander K, Gatti J, Leroy D, Iona S, Larsen M, Koefoed Rømer J, et al. 2018. EMODnet Thematic Lot n° 4/SI2.749773 EMODnet Chemistry Eutrophication and Acidity aggregated datasets v2018, doi: 10.6092/EC8207EF-ED81-4EE5-BF48-E26FF16BF02E.
- Carstensen J, Andersen JH, Gustafsson BG, Conley DJ. 2014. Deoxygenation of the Baltic Sea during the last century. Proc Natl Acad Sci USA. 111(15):5628–5633. doi:https://doi.org/10.1073/pnas.1323156111.
- Carstensen J, Conley DJ. 2019. Baltic Sea hypoxia takes many shapes and sizes. Limnol Ocean Bull. 28(4):125–129. doi:https://doi.org/10.1002/lob.10350.
- Carstensen J, Conley DJ, Almroth-Rosell E, Asmala E, Bonsdorff E, Fleming-Lehtinen V, Gustafsson BG, Gustafsson C, Heiskanen AS, Janas U, Norkko A. 2020. Factors regulating the coastal nutrient filter in the Baltic Sea. Ambio. 49(6):1194–1210. doi:https://doi.org/10.1007/s13280-019-01282-y.
- Conley DJ, Björck S, Bonsdorff E, Carstensen J, Destouni G, Gustafsson BG, Hietanen S, Kortekaas M, Kuosa H, Markus Meier HE, Müller-Karulis B. 2009. Hypoxia-related processes in the Baltic Sea. Environ Sci Technol. 43(10):3412–3420. doi:https://doi.org/10.1021/es802762a.
- Dahlgren P, Landelius T, Kallberg P, Gollvik S. 2016. A high resolution regional reanalysis for Europe Part 1: 3-dimensional reanalysis with the regional high resolution limited area model (HIRLAM). Q J Roy Meteor Soc. 698:2119–2131. doi:https://doi.org/10.1002/qj.2807.
- Dalsgaard T, De Brabandere L, Hall PO. 2013. Denitrification in the water column of the central Baltic Sea. Geochim Cosmochim Acta. 106:247–260. doi:https://doi.org/10.1016/j.gca.2012.12.038.
- Donnelly C, Andersson JC, Arheimer B. 2016. Using flow signatures and catchment similarities to evaluate the E-HYPE multibasin model across Europe. Hydrolog. Sci J. 61:255–273. doi:https://doi.org/10.1080/02626667.2015.1027710.
- Eilola K, Meier HM, Almroth E. 2009. On the dynamics of oxygen, phosphorus and cyanobacteria in the Baltic Sea; a model study. J Mar Sys. 75(1–2):163–184. doi:https://doi.org/10.1016/j.jmarsys.2008.08.009.
- Fleming-Lehtinen V, Andersen JH, Carstensen J, Łysiak-Pastuszak E, Murray C, Pyhälä M, Laamanen M. 2015. Recent developments in assessment methodology reveal that the Baltic Sea eutrophication problem is expanding. Ecol Indic. 48:380–388. doi:https://doi.org/10.1016/j.ecolind.2014.08.022.
- Granéli E, Wallström K, Larsson U, Granéli W, Elmgren R. 1990. Nutrient limitation of primary production in the Baltic Sea area. Ambio. 19(3):142–151.
- Groetsch PM, Simis SG, Eleveld MA, Peters SW. 2016. Spring blooms in the Baltic Sea have weakened but lengthened from 2000 to 2014. Biogeosciences. 13(17):4959–4973. doi:https://doi.org/10.5194/bg-13-4959-2016.
- Gustafsson BG, Schenk F, Blenckner T, Eilola K, Meier HM, Müller-Karulis B, Neumann T, Ruoho-Airola T, Savchuk OP, Zorita E. 2012. Reconstructing the development of Baltic Sea eutrophication 1850–2006. Ambio. 41(6):534–548. doi:https://doi.org/10.1007/s13280-012-0318-x.
- Gustafsson E, Savchuk OP, Gustafsson BG, Müller-Karulis B. 2017. Key processes in the coupled carbon, nitrogen, and phosphorus cycling of the Baltic Sea. Biogeochemistry. 134:301–317. doi:https://doi.org/10.1007/s10533-017-0361-6.
- Hansson M, Viktorsson L, Andersson L. 2020. Oxygen Survey in the Baltic Sea 2019-Extent of Anoxia and Hypoxia, 1960–2019. SMHI, Report Oceanography No. 67.
- HELCOM. 2018a. HELCOM Thematic assessment of eutrophication 2011–2016. Baltic Sea Environment Proceedings No. 156.
- HELCOM. 2018b. Sources and pathways of nutrients to the Baltic Sea. Baltic Sea Environment Proceedings No. 153.
- Hordoir R, Axell L, Höglund A, Dieterich C, Fransner F, Gröger M, Liu Y, Pemberton P, Schimanke S, Andersson H, et al. 2019. Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications. Geosci Model Dev. 12:363–386. doi:https://doi.org/10.5194/gmd-12-363-2019.
- Jakobsson M, Stranne C, O’Regan M, Greenwood SL, Gustafsson B, Humborg C, Weidner E. 2019. Bathymetric properties of the Baltic Sea. Ocean Science. 15(4):905–924. doi:https://doi.org/10.5194/os-15-905-2019.
- Kahru M, Elmgren R. 2014. Multidecadal time series of satellite-detected accumulations of cyanobacteria in the Baltic Sea. Biogeosciences. 11(13):3619–3633. doi:https://doi.org/10.5194/bg-11-3619-2014.
- Kahru M, Elmgren R, Di Lorenzo E, Savchuk O. 2018. Unexplained interannual oscillations of cyanobacterial blooms in the Baltic Sea. Sci Rep. 8(1):Article number 6365. doi:https://doi.org/10.1038/s41598-018-24829-7.
- Kõuts M, Maljutenko I, Elken J, Liu Y, Hansson M, Viktorsson L, Raudsepp U. 2021. Recent regime of persistent hypoxia in the Baltic Sea. Environ Res Comm. DOI:https://doi.org/10.1088/2515-7620/ac0cc4.
- Kuosa H, Fleming-Lehtinen V, Lehtinen S, Lehtiniemi M, Nygård H, Raateoja M, Raitaniemi J, Tuimala J, Uusitalo L, Suikkanen S. 2017. A retrospective view of the development of the Gulf of Bothnia ecosystem. J Mar Sys. 167:78–92. doi:https://doi.org/10.1016/j.jmarsys.2016.11.020.
- Laanemets J, Lilover MJ, Raudsepp U, Autio R, Vahtera E, Lips I, Lips U. 2006. A fuzzy logic model to describe the cyanobacteria Nodularia spumigena blooms in the Gulf of Finland, Baltic Sea. Hydrobiologia. 554(1):31–45. doi:https://doi.org/10.1007/s10750-005-1004-x.
- Landelius T, Dahlgren P, Gollvik S, Jansson A, Olsson E. 2016. A high resolution regional reanalysis for Europe Part 2: 2D analysis of surface temperature, precipitation and wind. Q J Roy Meteor Soc. 142:2132–2142. doi:https://doi.org/10.1002/qj.2813.
- Liu Y, Meier HEM, Eilola K. 2014. Improving the multiannual, high-resolution modelling of biogeochemical cycles in the Baltic Sea by using data assimilation. Tellus A: Dyn Meteorol Oceanogr. 66(1):24908. doi:https://doi.org/10.3402/tellusa.v66.24908.
- Liu Y, Meier HEM, Eilola K. 2017. Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis. Biogeosciences. 14:2113–2131. doi:https://doi.org/10.5194/bg-14-2113-2017.
- Lundberg C, Jakobsson BM, Bonsdorff E. 2009. The spreading of eutrophication in the eastern coast of the Gulf of Bothnia, northern Baltic Sea–An analysis in time and space. Estuarine Coastal Shelf Sci. 82(1):152–160. doi:https://doi.org/10.1016/j.ecss.2009.01.005.
- Meier HEM. 2015. Projected change – marine physics. In: Second assessment of climate change for the Baltic Sea basin. BACC II author team, 2015. Cham: Springer International Publishing; p. 243–252.
- Meier HEM, Andersson HC, Arheimer B, Blenckner T, Chubarenko B, Donnelly C, Eilola K, Gustafsson BG, Hansson A, Havenhand J, et al. 2012. Comparing reconstructed past variations and future projections of the Baltic Sea ecosystem – first results from multi-model ensemble simulations. Environ Res Lett. 7(3):034005. doi:https://doi.org/10.1088/1748-9326/7/3/034005.
- Meier HEM, Eilola K, Almroth-Rosell E, Schimanke S, Kniebusch M, Höglund A, Pemberton P, Liu Y, Väli G, Saraiva S. 2019. Disentangling the impact of nutrient load and climate changes on Baltic Sea hypoxia and eutrophication since 1850. Clim Dyn. 53(1–2):1145–1166. doi:https://doi.org/10.1007/s00382-018-4296-y.
- Mohrholz V. 2018. Major baltic inflow statistics–revised. Front Mar Sci. 5:384. doi:https://doi.org/10.3389/fmars.2018.00384.
- Murray CJ, Muller-Karulis B, Carstensen J, Conley DJ, Gustafsson B, Andersen JH. 2019. Past, present and future eutrophication status of the Baltic Sea. Front Mar Sci. 6:2. doi:https://doi.org/10.3389/fmars.2019.00002.
- Nerger L, Hiller W, Schröter J. 2005. A comparison of error subspace Kalman filters. Tellus A: Dyn Meteorol Oceanogr. 57(5):715–735. doi:https://doi.org/10.1111/j.1600-0870.2005.00141.x.
- Neumann T, Radtke H, Seifert T. 2017. On the importance of Major Baltic Inflows for oxygenation of the central Baltic Sea. J Geophys Res Ocean. 122(2):1090–1101. doi:https://doi.org/10.1002/2016JC012525.
- Pemberton P, Löptien U, Hordoir R, Höglund A, Schimanke S, Axell L, Haapala J. 2017. Sea-ice evaluation of NEMONordic 1.0: a NEMO–LIM3.6-based ocean–sea-ice model setup for the North Sea and Baltic Sea. Geosci Model Dev. 10:3105–3123. doi:https://doi.org/10.5194/gmd-10-3105-2017.
- Raudsepp U, She J, Brando VE, Kõuts M, Lagemaa P, Sammartino M, Santoleri R. 2018. Eutrophication and hypoxia in the Baltic Sea. In: Copernicus Marine Service Ocean State Report, Issue 2. J Operat Oceanogr. 11(Supp. 1):s13–s16. doi:https://doi.org/10.1080/1755876X.2018.1489208.
- Raudsepp U, She J, Brando VE, Santoleri R, Sammartino M, Kõuts M, Uiboupin R, Maljutenko I. 2019. Phytoplankton blooms in the Baltic Sea. In: Copernicus Marine Service Ocean State Report, Issue 3. J Operat Oceanogr. 12(Supp. 1):s26. doi:https://doi.org/10.1080/1755876X.2019.163307530.
- Reusch TB, Dierking J, Andersson HC, Bonsdorff E, Carstensen J, Casini M, Czajkowski M, Hasler B, Hinsby K, Hyytiäinen K, et al. 2018. The Baltic Sea as a time machine for the future coastal ocean. Sci Adv. 4(5):eaar8195. doi:https://doi.org/10.1126/sciadv.aar8195.
- Rolff C, Elfwing T. 2015. Increasing nitrogen limitation in the Bothnian Sea, potentially caused by inflow of phosphate-rich water from the Baltic proper. Ambio. 44(7):601–611. doi:https://doi.org/10.1007/s13280-015-0675-3.
- Saraiva S, Meier HEM, Andersson H, Höglund A, Dieterich C, Gröger M, Hordoir R, Eilola K. 2019. Baltic Sea ecosystem response to various nutrient load scenarios in present and future climates. Clim Dyn. 52(5-6):3369–3387. doi:https://doi.org/10.1007/s00382-018-4330-0.
- Savchuk OP. 2018. Large-scale nutrient dynamics in the Baltic Sea, 1970–2016. Front Mar Sci. 5:95. doi:https://doi.org/10.3389/fmars.2018.00095.
- Vahtera E, Conley DJ, Gustafsson BG, Kuosa H, Pitkänen H, Savchuk OP, Tamminen T, Viitasalo M, Voss M, Wasmund N, Wulff F. 2007. Internal ecosystem feedbacks enhance nitrogen-fixing cyanobacteria blooms and complicate management in the Baltic Sea. Ambio. 186–194. doi:https://doi.org/10.1579/0044-7447(2007)36[186:IEFENC]2.0.CO;2.
- Viktorsson L, Ekeroth N, Nilsson M, Kononets M, Hall POJ. 2013. Phosphorus recycling in sediments of the central Baltic Sea. Biogeosciences. 10(6):3901. doi:https://doi.org/10.5194/bg-10-3901-2013.
- Wulff F, Sokolov A, Savchuk O. 2013. Nest–a decision support system for management of the Baltic Sea. A User manual. Stockholm: Baltic Nest Institute, Stockholm University, Sweden.
Section 2.6. Long term changes monitored in two Mediterranean Channels
- Astraldi M, Balopoulos S, Candela J, Font J, Gačíc M, Gasparini GP, Manca B, Theocharis A, Tintoré J. 1999. The role of straits and channels in understanding the characteristics of Mediterranean circulation. Prog Oceanogr. 44:65–108.
- Ben Ismail S, Sammari C, Gasparini GP, Béranger K, Mouldi B, Aleya L. 2012. Water masses exchanged through the Channel of sicily: evidence for the presence of new water masses on the Tunisian side of the channel. Deep Sea Res I. 63(2012):65–81.
- Ben Ismail S, Schroeder K, Sammari C, Gasparini GP, Borghini M, et al. 2014. Interannual variability of water mass properties in the Tunisia-Sicily channel. J Mar Syst. 135:14–28.
- Béthoux JP, Gentili B. 1996. The Mediterranean Sea, coastal and deep-sea signatures of climatic and environmental changes. J Marine Syst. 7:383–394.
- Béthoux JP, Gentili B, Tailliez D. 1998. Warming and freshwater budget change in the Mediterranean since the 1940s, their possible relation to the greenhouse effect. Geophys Res Lett. 25:1023–1026.
- Collins M, Sutherland M, Bouwer L, Cheong S-M, Frölicher T, Jacot Des Combes H, Koll Roxy M, Losada I, McInnes K, Ratter B, et al. 2019. Extremes, abrupt changes and managing risk. In: H.-O. Pörtner, D.C. Roberts, V. Masson-Delmotte, P. Zhai, M. Tignor, E. Poloczanska, K. Mintenbeck, A. Alegría, M. Nicolai, A. Okem, J. Petzold, B. Rama, N.M. Weyer, editor. IPCC special report on the Ocean and Cryosphere in a changing climate. In press.
- Cook BI, Anchukaitis KJ, Touchan R, Meko DM, Cook ER. 2016. Spatiotemporal drought variability in the Mediterranean over the last 900 years. J Geophys Res Atmos. 121:2060–2074. DOI:https://doi.org/10.1002/2015JD023929.
- Desbruyères D, McDonagh EL, King BA. 2017. Global and full-depth Ocean temperature trends during the early twenty-first century from Argo and repeat hydrography. J Clim. 30:1985–1997. doi:https://doi.org/10.1175/JCLI-D-16-0396.1.
- Fuda J-L, Etiope G, Millot C, Faveli C, Calcara M, Smriglio G, Boschi E. 2002. Warming, salting and origin of the Tyrrhenian deep water. Geophys Res Lett. 29(18):1886. doi:https://doi.org/10.1029/2001gl014072.
- Krahmann G, Schott F. 1998. Long term increases in Western Mediterranean salinities and temperatures: anthropogenic and climatic sources. Geophys Res Lett. 25(22):4209–4212.
- Leaman KD, Schott F. 1991. Hydrographic structure of the convection regime in the Gulf of lions: winter 1987. J Phys Oceanogr. 21:575–598.
- Meyssignac B, Boyer T, Zhao Z, Hakuba MZ, Landerer FW, Stammer D, Köhl A, Kato S, L’Ecuyer T, Ablain M, et al. 2019. Measuring global Ocean heat content to estimate the earth energy imbalance. Front Mar Sci. 6:432. doi:https://doi.org/10.3389/fmars.2019.00432.
- Millot C, Candela J, Fuda J-L, Tber Y. 2006. Large warming and salinification of the Mediterranean outflow due to changes in its composition. Deep-Sea Res. 53:656–666. doi:https://doi.org/10.1016/j.dsr.2005.12.017,.
- Roether W, Manca BB, Klein B, Bregant D, Gerogopolous D, Beitzel V, Kovacevic V, Luchetta A. 1996. Recent changes in Eastern Mediterranean deep waters. science. New Series. 271(5247):333–335.
- Rohling EJ, Bryden H. 1992. Man-induced salinity and temperature increase in the western Mediterranean deep water. J Geophys Res. 97:11191–11198.
- Ryabinin V, Barbière J, Haugan P, Kullenberg G, Smith N, McLean C, Troisi A, Fischer A, Aricò S, Aarup T, et al. 2019. The UN decade of Ocean science for sustainable development. Front Mar Sci. 6:470. doi:https://doi.org/10.3389/fmars.2019.00470.
- Schroeder K, et al. 2016. Abrupt climate shift in the Western Mediterranean Sea. Sci Rep. 6:23009. doi:https://doi.org/10.1038/srep23009.
- Schroeder K, Chiggiato J, Ben Ismail S, Borghini M, Patti B, Sparnocchia S. 2019. Mediterranean deep and intermediate water mass properties. In: Copernicus Marine service Ocean state report, issue 3. J Operat Oceanogr. 12(Supp. 1):s18–s21. doi:https://doi.org/10.1080/1755876X.2019.1633075.
- Schroeder K, Chiggiato J, Josey SA, Borghini M, Aracri S, Sparnocchia S. 2017. Rapid response to climate change in a marginal sea. Sci Rep. 7:4065. doi:https://doi.org/10.1038/s41598-017-04455-5.
- Schroeder K, Ribotti A, Borghini M, Sorgente R, Perilli A, Gasparini GP. 2008. An extensive western Mediterranean deep water renewal between 2004 and 2006. Geophys Res Lett. 35:L18605. doi:https://doi.org/10.1029/2008GL035146.
- Skliris N, Marsh R, Josey SA, Good SA, Liu C, Allan RP. 2014. Salinity changes in the World Ocean since 1950 in relation to changing surface freshwater fluxes. Clim Dyn. 43:709–736. doi:https://doi.org/10.1007/s00382-014-2131-7.
- Sloyan BM, Wilkin J, Hill KL, Chidichimo MP, Cronin MF, Johannessen JA, Karstensen J, Krug M, Lee T, Oka E, et al. 2019. Evolving the physical global Ocean observing system for research and application services through international coordination. Front Mar Sci. 6:449. doi:https://doi.org/10.3389/fmars.2019.00449.
- Vargas-Yáñez M, García-Martínez MC, Moya F, Balbín R, López-Jurado JL, Serra M, Zunino P, Pascual J, Salat J. 2017. Updating temperature and salinity mean values and trends in the Western Mediterranean: the RADMED project. Prog Oceanogr. 157:27–46. doi:https://doi.org/10.1016/j.pocean.2017.09.004.
- Vargas-Yáñez M, Moya F, García-Martínez MC, Tel E, Zunino P, Plaza F, Salat J, Pascual J, López-Jurado JL, Serra M. 2010. Climate change in the Western Mediterranean Sea 1900–2008. J Mar Sys. 82:171–176. doi:https://doi.org/10.1016/j.jmarsys.2010.04.013.
Section 2.7. Interannual variations of the Black Sea Rim Current intensity
- Blatov AS, Bulgakov NP, Ivanov VA, Kosarev AN, Tujilkin VS. 1984. Variability of hydrophysical fields in the Black Sea (in Russian), 240 pp. St. Petersburg, Russia: Gidrometeoizdat.
- Capet A, Barth A, Beckers J-M, Grégoire M. 2012. Interannual variability of Black Sea’s hydrodynamics and connection to atmospheric patterns. Deep-Sea Res Pt II. 77–80:128–142. doi:https://doi.org/10.1016/j.dsr2.2012.04.010.
- Fach B. 2015. Modeling the influence of hydrodynamic processes on anchovy distribution and connectivity in the Black Sea. Turkish J Fisher Aquatic Sci. 14:1–2. doi:https://doi.org/10.4194/1303-2712-v14_2_06.
- Grayek S, Stanev EV, Schulz-Stellenfleth J. 2015. Assessment of the Black Sea observing system. A focus on 2005–2012 Argo campaigns. Ocean Dyn. 65:1665–1684. doi:https://doi.org/10.1007/s10236-015-0889-8.
- Ivanov VA, Belokopytov VN. 2013. Oceanography of the Black Sea. Editorial publishing board of Marine Hydrophysical Institute, 210 p., Printed by ECOSY-Gidrofizika, Sevastopol.
- Korotaev G, Oguz T, Nikiforov A, Koblinsky C. 2003. Seasonal, interannual, and mesoscale variability of the Black Sea upper layer circulation derived from altimeter data. J Geophys Res (Ocean). 108:C4. doi:https://doi.org/10.1029/2002JC001508,2003.
- Korotenko KA. 2018. Effects of mesoscale eddies on behavior of an oil spill resulting from an accidental deepwater blowout in the Black Sea: an assessment of the environmental impacts. PeerJ. 6:e5448. doi:https://doi.org/10.7717/peerj.5448. PMID: 30186680; PMCID: PMC6119461.
- Kubryakov AA, Bagaev AV, Stanichny SV, Belokopytov VN. 2018. Thermohaline structure, transport and evolution of the Black Sea eddies from hydrological and satellite data. Prog Oceanogr. 167:44–63. doi:https://doi.org/10.1016/j.pocean.2018.07.007.
- Kubryakov AA, Stanichny SV. 2015. Seasonal and interannual variability of the Black Sea eddies and its dependence on characteristics of the large-scale circulation. Deep-Sea Res Pt I. 97:80–91. doi:https://doi.org/10.1016/j.dsr.2014.12.002.
- Miladinova S, Macias D, Stips A, Garcia-Gorriz E. 2020. Identifying distribution and accumulation patterns of floating marine debris in the Black Sea. Mar Pollut Bull. doi:https://doi.org/10.1016/j.marpolbul.2020.110964.
- Miladinova S, Stips A, Macias Moy D, Garcia-Gorriz E. 2020. Pathways and mixing of the north western river waters in the Black Sea estuarine. Coastal Shelf Sci. 236. doi:https://doi.org/10.1016/j.ecss.2020.106630
- Oguz T, Latun VS, Latif MA, Vladimirov VV, Sur HI, Markov AA, Özsoy E, Kotovshchikov BB, Eremeev VV, Ünlüata Ü. 1993. Circulation in the surface and intermediate layers of the Black Sea. Deep Sea Res Part I. 40(8). doi:https://doi.org/10.1016/0967-0637(93)90018-X
- Oguz T, La Violette PE, Ünlüata Ü. 1992. The upper layer circulation of the Black Sea: its variability as inferred from hydrographie and satellite observations. J Geophys Res. 97(CS):12569–12584.
- Ozsoy E, Unluata U. 1998. The Sea, vol. 11, The Black Sea, edited by A. Robinson and K. Brink. New York: John Wiley.
- Poulain PM, Barbanti R, Motyzhev S, Zatsepin A. 2005. Statistical description of the Black Sea near-surface circulation using drifters in 1999–2003. Deep Sea Res Part I. 52(12):2250–2274.
- Simonov AI, Altman EN, eds. 1991. Hydrometeorology and hydrochemistry of the USSR seas, vol. IV, The Black Sea, 430 pp. St. Petersburg, Russia: Gidrometeoizdat.
- Stanev EV. 1990. On the mechanisms of the Black Sea circulation. Earth Sci Rev. 28:285–319.
- Stanev EV. 2005. Understanding Black Sea dynamics: overview of recent numerical modelling. Oceanography. 18(2):52–71.
- Stanev EV, Bowman MJ, Peneva EL, Staneva JV. 2003. Control of Black Sea intermediate water mass formation by dynamics and topography: comparison of numerical simulations, surveys and satellite data. J Mar Res. 61:59–99.
- Stanev EV, Le Traon P-Y, Peneva EL. 2000. Sea level variations and their dependency on meteorological and hydrological forcing: analysis of altimeter and surface data for the Black Sea. J Geophys Res. 105(C7):17203–17216. doi:https://doi.org/10.1029/1999JC900318.
- Stanev EV, Peneva E, Chtirkova B. 2019. Climate change and regional ocean water mass disappearance: case of the Black Sea. J Geophys Res: Ocean. 124:4803–4819. doi:https://doi.org/10.1029/2019JC015076.
- Stanev EV, Peneva EL. 2002. Regional sea level response to global climatic change: Black Sea examples. Glob Planet Change. 32:33–47.
- Stanev EV, Ricker M. 2019. The fate of marine litter in semi-enclosed seas: a case study of the Black Sea. Front Mar Sci. doi:https://doi.org/10.3389/fmars.2019.00660.
- Staneva J, Dietrich DE, Stanev EV, Bowman MJ. 2001. Rim current and coastal eddy mechanisms in an eddy-resolving Black Sea general circulation model. J Mar Syst. 31(1):137–157. doi:https://doi.org/10.1016/S0924-7963(01)00050-1.
- Zatsepin AG, Ginzburg AI, Kostianoy AG, Kremenetskiy VV, Krivosheya VG, Stanichny SV, Poulain P-M. 2003. Observations of Black Sea mesoscale eddies and associated horizontal mixing. J Geophys Res. 108:3246. doi:https://doi.org/10.1029/2002JC001390.
- Zhurbas VM, Zatsepin AG, Grigor’eva YV, Eremeev VN, Kremenetsky VV, Motyzhev SV, Poyarkov SG, Poulain P-M, Stanichny SV, Soloviev DM. 2004. Water circulation and characteristics of currents of different scales in the upper layer of the Black Sea from drifter. Oceanology. 44(1):30–43.
Section 2.8. Climatology and 2019 anomaly of maximum waves in the Mediterranean and Black Seas
- Ardhuin F, Rogers E, Babanin A, Filipot J-F, Magne R, Roland A, Van Der Westhuysen A, Queffeulou P, Lefevre J-M, Aouf L, Collard F. 2010. Semi-empirical dissipation source functions for ocean waves: part I, definition, calibration and validation. J Phys Oceanogr. 40:1917–1941. doi:https://doi.org/10.1175/2010JPO4324.1.
- Arkhipkin VS, Gippius FN, Koltermann KP, Surkova GV. 2014. Wind waves in the Black Sea: results of a hindcast study. Nat Hazards Earth Syst Sci. 14:2883–2897. doi:https://doi.org/10.5194/nhess-14-2883-2014.
- Barbariol F, Alves J-HGM, Benetazzo A, Bergamasco F, Bertotti L, Carniel S, Cavaleri L, Chao Y, Chawla A, Ricchi A, et al. 2017. Numerical modeling of space-time wave extremes using WAVEWATCH III. Ocean Dyn. 67:535–549. doi:https://doi.org/10.1007/s10236-016-1025-0.
- Barbariol F, Bidlot J-R, Cavaleri L, Sclavo M, Thomson J, Benetazzo A. 2019. Maximum wave heights from global model reanalysis. Prog Oceanogr. 175:139–160. doi:https://doi.org/10.1016/j.pocean.2019.03.009.
- Battjes JA, Janssen JPFM. 1978. Energy loss and set-up due to breaking of random waves. In: Proc. 16th Int. Conf. Coastal Engineering, ASCE., pp. 569–587.
- Benetazzo A, Barbariol F, Bergamasco F, Sandro C, Sclavo M, Yoo J, Cavaleri L, Kim SS, Bertotti L, Barbariol F, Shim JS. 2017. Space-time extreme wind waves: analysis and prediction of shape and height. Ocean Model. 113:201–216. doi:https://doi.org/10.1016/j.ocemod.2017.03.010.
- Benetazzo A, Barbariol F, Bergamasco F, Torsello A, Carniel S, Sclavo M. 2015. Observation of extreme sea waves in a space-time ensemble. J Phys Oceanogr. 45:2261–2275. doi:https://doi.org/10.1175/JPO-D-15-0017.1.
- Benetazzo A, Barbariol F, Davison S. 2020. Short-term/range extreme-value probability distributions of upper bounded space-time maximum Ocean waves. J Mar Sci Eng. 8:679. doi:https://doi.org/10.3390/jmse8090679.
- Boccotti P. 2000. Wave mechanics for Ocean engineering. New York: Elsevier Science B.V. 496 pp.
- Campins J, Genovés A, Picornell MA, Jansà A. 2011. Climatology of Mediterranean cyclones using the ERA-40 dataset. Int J Climatol. 31:1596–1614. doi:https://doi.org/10.1002/joc.2183.
- Cavaleri L, Abdalla S, Benetazzo A, Bertotti L, Bidlot J-R, Breivik Ø, Carniel S, Jensen RE, Portilla-Yandun J, Rogers WE, et al. 2018. Wave modelling in coastal and inner seas. Prog Oceanogr. 167:164–233. doi:https://doi.org/10.1016/j.pocean.2018.03.010.
- Cavaleri L, Barbariol F, Benetazzo A. 2020. Wind–wave modeling: where we are. Where to go. J Mar Sci Eng. 8:260. doi:https://doi.org/10.3390/jmse8040260.
- Cavaleri L, Bertotti L. 2004. Accuracy of the modelled wind and wave fields in enclosed seas. Tellus A. 56:167–175.
- Cavaleri L, Bertotti L, Torrisi L, Bitner-Gregersen E, Serio M, Onorato M. 2012. Rogue waves in crossing seas: The Louis Majesty accident. J Geophys Res Ocean. 117:1–8. doi:https://doi.org/10.1029/2012JC007923.
- Cavaleri L, Sclavo M. 2006. The calibration of wind and wave model data in the Mediterranean Sea. Coast Eng. doi:https://doi.org/10.1016/j.coastaleng.2005.12.006.
- DNV GL. 2017. DNVGL-RP-C205: environmental conditions and environmental loads. DNV GL Recommended Practice. August:1–259.
- ECMWF. 2017a. Twenty-one years of wave forecast verification. ECMWF Newsletter, Number 150. https://www.ecmwf.int/en/newsletter/150/meteorology/twenty-one-years-wave-forecast-verification.
- ECMWF. 2017b. Part VII: ECMWF wave model IFS documentation – part VII: ECMWF wave model. IFS Documentation CY43R3. p. 1–99.
- ECMWF. 2019. ECMWF severe event catalogue for evaluation of multi-scale prediction of extreme weather. Technical Memo. 851:1–32.
- Fanjul EÁ, de Pascual Collar Á, Gómez BP, De Alfonso M, Sotillo MG, Staneva J, Clementi E, Grandi A, Zacharioudaki A, Korres G, et al. 2019. Sea level, sea surface temperature and SWH extreme percentiles: combined analysis from model results and in situ observations. In: Copernicus Marine Service Ocean State Report, Issue 3. J Operat Oceanogr. 12(Supp. 1):s31–s39. doi:https://doi.org/10.1080/1755876X.2019.1633075.
- Fedele F. 2012. Space–time extremes in short-crested storm seas. J Phys Oceanogr. 42:1601–1615. doi:https://doi.org/10.1175/JPO-D-11-0179.1.
- Hasselmann K, Barnett TP, Bouws E, Carlson H, Cartwright DE, Enke K, Ewing JA, Gienapp H, Hasselmann DE, Kruseman P, et al. 1973. Measurements of wind-wave growth and swell decay during the Joint North Sea wave project (JONSWAP). Deutches Hydrogr Inst A. 8:1–95.
- Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, et al. 1996. The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc. 77:437–471.
- Magnusson A, Donelan M, Drennan W. 1999. On estimating extremes in an evolving wave field. Coast Eng. 36:147–163. doi:https://doi.org/10.1016/S0378-3839(99)00004-6.
- Menendez M, García-Díez M, Fita L, Fernández J, Méndez FJ, Gutiérrez JM. 2014. High-resolution sea wind hindcasts over the Mediterranean area. Clim Dyn. 42:1857–1872. doi:https://doi.org/10.1007/s00382-013-1912-8.
- Ochi, M.K., 1998. Ocean waves, Ocean waves: the stochastic approach. Cambridge: Cambridge University Press, 319 pp. doi:https://doi.org/10.1017/CBO9780511529559.
- Ribal A, Young IR. 2019. 33 years of globally calibrated wave height and wind speed data based on altimeter observations. Sci Data. 6:77. doi:https://doi.org/10.1038/s41597-019-0083-9.
- Sartini L, Besio G, Cassola F. 2017. Spatio-temporal modelling of extreme wave heights in the Mediterranean Sea. Ocean Model. 117:52–69. doi:https://doi.org/10.1016/j.ocemod.2017.07.001.
- Sizov AA, Chekhlan AE. 2010. Hydrometeorological characteristics of the Black-Sea region in the years with extreme values of the Sargasso–Black-Sea index. Phys Oceanogr. 20:99–108. doi:https://doi.org/10.1007/s11110-010-9070-6.
- Soukissian T, Karathanasi F, Axaopoulos P, Voukouvalas E, Kotroni V. 2018. Offshore wind climate analysis and variability in the Mediterranean Sea. Int J Climatol. 38:384–402. doi:https://doi.org/10.1002/joc.5182.
- Tolman, H.L. and the WAVEWATCH III® Development Group. 2014. User manual and system documentation of WAVEWATCH III version 4.18. Technical note 316, NOAA/NWS/ NCEP/MMAB, 282 pp. +Appendices.
- Trigo IF, Bigg GR, Davies TD. 2002. Climatology of cyclogenesis mechanisms in the Mediterranean. Mon Wea Rev. 130:549–569.
- Vagenas C, Anagnostopoulou C, Tolika K. 2017. Climatic study of the marine surface wind field over the Greek Seas with the use of a high resolution RCM focusing on extreme winds. Climate. 5:29. doi:https://doi.org/10.3390/cli5020029.
- Visbeck MH, Hurrell JW, Polvani L, Cullen HM. 2001. The North Atlantic Oscillation: past, present, and future. Proc Natl Acad Sci USA. 98:12876–12877.
- von Schuckmann K, Le Traon P-Y, Smith N, Pascual A, Brasseur P, Fennel K, Djavidnia S, Aaboe S, Fanjul EA, Autret E, et al. 2018. Copernicus marine service ocean state report. J Oper Oceanogr. 11(sup1):S1–S142. DOI:https://doi.org/10.1080/1755876X.2018.1489208.
- Young IR, Sanina E, Babanin AV. 2017. Calibration and cross validation of a global wind and wave database of altimeter, radiometer, and scatterometer measurements. J Atmos Oceanic Technol. 34(6):1285–1306.
Section 2.9. Strong positive Indian Ocean Dipole events over the period 1993 to 2019
- Adler RF, Huffman GJ, Chang A, Ferraro R, Xie P, Janowiak J, Rudolf B, Schneider U, Curtis S, Bolvin D, et al. 2003.: The version 2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present). J Hydrometeor. 4:1147–1167. doi:https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2.
- Ashok K, Guan Z, Yamagata T. 2001. Impact of the Indian Ocean Dipole on the relationship between the Indian Monsoon Rainfall and ENSO. GRL. 28(23):4499–4502. doi:https://doi.org/10.1029/2001GL013294.
- Ashok K, Guan Z, Yamagata T. 2003. Influence of the Indian Ocean Dipole on the Australian winter rainfall. GRL. 30(15):1821. doi:https://doi.org/10.1029/2003GL017926.
- Cai W, Cowan T, Raupach M. 2009. Positive Indian Ocean Dipole events precondition southeast Australia bushfires. Geophys Res Lett. 36:L19710. doi:https://doi.org/10.1029/2009GL039902.
- Cai W, Santoso A, Wang G, Weller E, Wu L, Ashok K, Masumoto Y, Yamagata T. 2014. Increased frequency of extreme Indian Ocean Dipole events due to greenhouse warming. Nature. 510:254–258. doi:https://doi.org/10.1038/nature13327.
- Cai W, Wang G, Gan B, Wu L, Santoso A, Lin X, Chen Z, Jia F, Yamagata T. 2018. Stabilised frequency of extreme positive Indian Ocean Dipole under 1.5°C warming. Nat Commun. 9:1419. doi:https://doi.org/10.1038/s41467-018-03789-6.
- CSIRO. 2020. The 2019–20 bushfires: a CSIRO explainer. Available from: https://www.csiro.au/~/media/Environment/BushfireFactsheet060220.pdf.
- Deepa JS, Gnanaseelan C, Kakatkar R, Parekh A, Chowdary JS. 2018. The interannual sea level variability in the Indian Ocean as simulated by an ocean general circulation model. Int J Climatol. 38:1132–1144. doi:https://doi.org/10.1002/joc.5228.
- Du Y, Zhang Y, Zhang L-Y, Tozuka T, Ng B, Cai W. 2020. Thermocline warming induced extreme Indian Ocean dipole in 2019. Geophys Res Lett. 47:e2020GL090079. doi:https://doi.org/10.1029/2020GL090079.
- Duan J, Li Y, Zhang L, Wang F. 2020. Impacts of the Indian Ocean Dipole on Sea level and Gyre circulation of the Western tropical Pacific Ocean. J Climate. 33:4207–4228. doi:https://doi.org/10.1175/JCLI-D-19-0782.1.
- FAO, United Nations, Desert Locusts. 2020. https://www.fao.org/locusts/en/. Last access: 26 May 2020.
- Good S, Fiedler E, Mao C, Martin MJ, Maycock A, Reid R, Roberts-Jones J, Searle T, Waters J, While J, Worsfold M. 2020. The current configuration of the OSTIA system for operational production of foundation sea surface temperature and ice concentration analyses. Remote Sens. 12:720. doi:https://doi.org/10.3390/rs12040720.
- Lu B, Ren H, Scaife AA, Wu J, Dunstone N, Smith D, Wan J, Eade R, MacLaclan C, Gordon M. 2018. An extreme negative Indian Ocean Dipole event in 2016: dynamics and predictability. Clim Dyn. 51:89–100. doi:https://doi.org/10.1007/s00382-017-3908-2.
- Lu B, Ren H-L. 2020. What caused the extreme Indian Ocean Dipole event in 2019? Geophys Res Lett. 47:e2020GL087768. doi:https://doi.org/10.1029/2020GL087768.
- Merchant CJ, Embury O, Bulgin CE, Block T, Corlett GK, Fiedler E, Good SA, Mittaz J, Rayner NA, Berry D, et al. 2019. Satellite-based time-series of sea-surface temperature since 1981 for climate applications. Sci Data. 6:223. doi:https://doi.org/10.1038/s41597-019-0236-x.
- OCHA, Eastern Africa Region: regional floods and Locust Outbreak Snapshot. 2020. [cited 2020 May 26] Available from: https://reliefweb.int/sites/reliefweb.int/files/resources/ROSEA_20200117_EasternAfrica_Flood_Snapshot_Jan2020_def.pdf
- Saji NH, Goswami BN, Vinayachandran PN, Yamagata T. 1999. A dipole mode in the tropical Indian Ocean. Nature. 401:360–363. doi:https://doi.org/10.1038/43854.
- Trenberth, Kevin, National Center for Atmospheric Research Staff, eds. Last modified 21 Jan 2020. “The Climate Data Guide: Nino SST Indices (Nino 1 + 2, 3, 3.4, 4; ONI and TNI).” Available from: https://climatedataguide.ucar.edu/climate-data/nino-sst-indices-nino-12-3-34-4-oni-and-tni
- Tziperman E, Cane MA, Zebiak SE, Xue Y, Blumenthal B. 1998. Locking of El Niño’s peak time to the end of the calendar year in the delayed oscillator picture of ENSO. J Climate. 11:2191–2199. doi:https://doi.org/10.1175/1520-0442(1998)011<2191:LOENOS>2.0.CO;2.
- Wang G, Cai W, Yang K, Santoso A, Yamagata T. 2020. A unique feature of the 2019 extreme positive Indian Ocean Dipole event. Geophys Res Lett. 47:e2020GL088615. doi:https://doi.org/10.1029/2020GL088615.
- Xie S, Zhou Z. 2017. Seasonal modulations of El Niño–related atmospheric variability: Indo–Western Pacific Ocean feedback. J Climate. 30:3461–3472. doi:https://doi.org/10.1175/JCLI-D-16-0713.1.
- Yang K, Cai W, Huang G, Wang G, Ng B, Li S. 2020. Oceanic processes in ocean temperature products key to a realistic presentation of positive Indian Ocean Dipole nonlinearity. Geophys Res Lett. 46:e2020GL089396. doi:https://doi.org/10.1029/2020GL089396.
- Yang Y, Xie S, Wu L, Kosaka Y, Lau N, Vecchi GA. 2015. Seasonality and predictability of the Indian Ocean Dipole mode: ENSO forcing and internal variability. J Climate. 28:8021–8036. doi:https://doi.org/10.1175/JCLI-D-15-0078.1.
References
Section 3.1. The chlorophyll-a gradient as primary Earth observation index of marine ecosystem feeding capacity
- https://fishreg.jrc.ec.europa.eu/web/fish-habitat/publications-and-press-release.
- Allen M, Antwi-Agyei P, Aragon-Durand F, Babiker M, Bertoldi P, Bind M, Brown S, Buckeridge M, et al. 2019. Technical summary: global warming of 1.5°C. An IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. Intergovernmental Panel on Climate Change.
- Brandini FP, Boltovskoy D, Piola AR, Kocmur S, Rottgers R, Abreu PC, Mendes Lopes R. 2000. Multiannual trends in fronts and distribution of nutrients and chlorophyll in the southwestern Atlantic (30–62°S). Deep Sea Res I. 47:1015–1033.
- Briscoe DK, Hobday AJ, Carlisle A, Scales K, Eveson JP, Arrizabalaga H, Druon JN, Fromentin JM. 2017. Ecological bridges and barriers in pelagic ecosystems. Deep Sea Res Part II Top Stud Oceanogr. 140:182–192.
- Druon J-N, Fiorentino F, Murenu M, Knittweis L, Colloca F, Osio C, Mérigot B, Garofalo G, Mannini A, Jadaud A, et al. 2015. Modelling of European hake nurseries in the Mediterranean Sea: an ecological niche approach. Prog Oceanogr. 130:188–204.
- Druon JN. 2017. Ocean productivity index for fish in the Arctic: first assessment from satellite derived plankton-to-fish favourable habitats, EUR 29006 EN. Publications Office of the European Union. ISBN 978-92-79-77299-3, JRC109947. https://doi.org/10.2760/28033.
- Druon JN, Chassot E, Murua H, Lopez J. 2017. Skipjack tuna availability for purse seine fisheries is driven by suitable feeding habitat dynamics in the Atlantic and Indian Oceans. Front Mar Sci. 4:315. DOI:https://doi.org/10.3389/fmars.2017.00315.
- Druon JN, Fromentin JM, Hanke A, Arrizabalaga H, Damalas D, Tičina V, Quílez-Badia G, Ramirez K, Arregui I, Tserpes G, et al. 2016. Habitat suitability of the Atlantic bluefin tuna by size class: an ecological niche approach. Prog Oceanogr. 142:30–46. doi:https://doi.org/10.1016/j.pocean.2016.01.002.
- Druon JN, Gascuel D, Gibin M, Zanzi A, Fromentin JM, Colloca F, Hélaouët P, Coll M, Mannini A, Bluemel J, et al. 2021. Mesoscale productivity fronts and local fishing opportunities in the European Seas. Fish Fish. DOI:https://doi.org/10.1111/faf.12585.
- Druon JN, Hélaouët P, Beaugrand G, Fromentin JM, Palialexis A, Hoepffner N. 2019. Satellite-based indicator of zooplankton distribution for global monitoring. Nat Sci Rep. 9:4732. DOI:https://doi.org/10.1038/s41598-019-41212-2.
- Druon JN, Panigada S, David L, Gannier A, Mayol P, Arcangeli A, Cañadas A, Laran S, Di Méglio N, Gauffier P. 2012. Potential feeding habitat of fin whales in the western Mediterranean Sea: an environmental niche model. Mar Ecol Prog Ser. 464:289–306. DOI:https://doi.org/10.3354/meps09810.
- Dutkiewicz S, Hickman AE, Jahn O, Henson S, Beaulieu C, Monier E. 2019. Ocean colour signature of climate change. Nat Commun. 10:578. DOI:https://doi.org/10.1038/s41467-019-08457-x.
- European Commission. 2008. Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy (Marine Strategy Framework Directive) (text with EEA relevance).
- European Commission. 2013. REGULATION (EU) No 1380/2013 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 11 December 2013 on the Common Fisheries Policy, amending Council Regulations (EC) No 1954/2003 and (EC) No 1224/2009 and repealing Council Regulations (EC) No 2371/2002 and (EC) No 639/2004 and Council Decision 2004/585/EC.
- European Commission. 2017. Commission Decision (EU) 2017/848 of 17 May 2017 laying down criteria and methodological standards on good environmental status of marine waters and specifications and standardised methods for monitoring and assessment, and repealing decision 2010/477/EU (Text with EEA relevance).
- Garnesson P, Mangin A, Fanton d'Andon O, Demaria J, Bretagnon M. 2019. The CMEMS GlobColour chlorophyll-a product based on satellite observation: multi-sensor merging and flagging strategies. Ocean Sci. 15(3):819–830. DOI:https://doi.org/10.5194/os-15-819-2019.
- Gohin F, Druon JN, Lampert L. 2002. A five channel chlorophyll concentration algorithm applied to SeaWiFS data processed by SeaDAS in coastal waters. Int J Remote Sens. 23:1639–1661 (not open access).
- Hernvann PY, Gascuel D, Grüss A, Druon JN, Kopp D, Perez I, Piroddi C, Robert M. 2020. The Celtic Sea through time and space: ecosystem modeling to unravel fishing and climate change impacts on food-web structure and dynamics. Front Mar Sci. 7:1018. DOI:https://doi.org/10.3389/fmars.2020.578717.
- Hu C, Lee Z, Franz B. 2012. Chlorophyll aalgorithms for oligotrophic oceans: a novel approach based on three-band reflectance difference. J Geophys Res. 117:C01011. DOI:https://doi.org/10.1029/2011JC007395.
- Kahru M, Di Lorenzo E, Manzano-Sarabia M, Mitchell BG. 2012. Spatial and temporal statistics of sea surface temperature and chlorophyll fronts in the California current. J Plankton Res. 34(9):749–760. DOI:https://doi.org/10.1093/plankt/fbs010.
- Kouketsu S, Kaneko H, Okunishi T, Sasaoka K, Itoh S, Inoue R, Ueno H. 2016. Mesoscale eddy effects on temporal variability of surface chlorophyll a in the Kuroshio extension. J Oceanogr. 72:439–451. DOI:https://doi.org/10.1007/s10872-015-0286-4.
- Libralato S, Coll M, Tudela S, Palomera I, Pranovi F. 2008. Novel index for quantification of ecosystem effects of fishing as removal of secondary production. Mar Ecol Prog Ser. 355:107–129.
- Panigada S, Donovan G, Druon JN, Lauriano G, Pierantonio N, Pirotta E, Zanardelli M, Zerbini A, Notarbartolo di Sciara G. 2017. Satellite tagging of Mediterranean fin whales: working towards the identification of critical habitats and the focussing of mitigation measures. Nat Sci Rep. 7:3365. DOI:https://doi.org/10.1038/s41598-017-03560-9.
- Pegau WS, Boss E, Martinez A. 2002. Ocean color observations of eddies during the summer in the Gulf of California. Geophys Res Lett 29:1295. DOI:https://doi.org/10.1029/2001GL014076.
- Pitarch J, Volpe G, Colella S, Krasemann H, Santoleri R. 2016. Remote sensing of chlorophyll in the Baltic Sea at basin scale from 1997 to 2012 using merged multi-sensor data. Ocean Sci. 12(2):379–389.
- Polovina JJ, Howell E, Kobayashi DR, Seki MP. 2001. The transition zone chlorophyll front, a dynamic global feature defining migration and forage habitat for marine resources. Prog Oceanogr. 49:469–483.
- Raymont JEG. 1980. Plankton & productivity in the oceans: volume 1: phytoplankton, 1- marine plankton. 2nd ed. Oxford: Pergamon Press Ltd.
- Takahashi W, Kawamura H. 2005. Detection method of the Kuroshio front using the satellite-derived chlorophyll-a images. Remote Sens Environ. 97:83–91.
- Valavanis DV, Kapantagakis A, Katara I, Palialexis A. 2004. Critical regions: A GIS-based model of marine productivity hotspots. Aquat Sci. 66:139–148. DOI:https://doi.org/10.1007/s00027-003-0669-2.
- von Schuckmann K, Le Traon P-Y, Smith N, Pascual A, Djavidnia S, Gattuso J-P, Grégoire M, Nolan G. 2019. Copernicus marine service ocean state report, issue 3. J Oper Oceanogr. 12:S1–S123.
- von Schuckmann K, Le Traon P-Y, Smith N, Pascual A, Djavidnia S, Gattuso J-P, Grégoire M, Nolan G. 2020. Copernicus marine service ocean state report, issue 4. J Oper Oceanogr. 13:sup1, S1–S172. DOI:https://doi.org/10.1080/1755876X.2020.1785097.
Section 3.2. Marine heatwaves and cold-spells, and their impact on fisheries in the North Sea
- Akimova A, Núñez-Riboni I, Kempf A, Taylor MH. 2016. Spatially-resolved influence of temperature and salinity on stock and recruitment variability of commercially important fishes in the North Sea. PLoS One. 11:e0161917. DOI:https://doi.org/10.1371/journal.pone.0161917.
- Arafeh-Dalmau N, Schoeman DS, Montano-Mactezuma G, Micheli F, Rogers-Bennett L, Olguin-Jacobson C, Possingham HP. 2020. Marine heat waves threaten kelp forests. Science. 367:635. DOI:https://doi.org/10.1126/science.aba5244.
- Ares E. 2016. UK and European sea bass conservation measures. House of Commons Library. Briefing Paper 00745. http://researchbriefings.files.parliament.uk/documents/SN00745/SN00745.pdf.
- BBC. 2010. Thousands of dead crabs wash up on Kent’s beaches. BBC News. http://news.bbc.co.uk/1/hi/england/kent/8456514.stm.
- BBC. 2013. Cold weather hits lobster supplies. BBC News. https://www.bbc.co.uk/news/uk-scotland-scotland-business-22297644.
- Beare D, Burns F, Jones E, Peach K, Reid D. 2005. Red mullet migration into the northern North Sea during late winter. J Sea Res. 53:205–212.
- Benthuysen JA, Oliver ECJ, Chen K, Wernberg T. 2020. Advances in understanding marine heatwaves and their impacts. Front Mar Sci. DOI:https://doi.org/10.3389/fmars.2020.00147.
- Bond NA, Cronin MF, Freeland M, Mantua N. 2015. Causes and impacts of the 2014 warm anomaly in the NE Pacific. Geophys Res Lett. 42:3414–3420. DOI:https://doi.org/10.1002/2015GL063306.
- Chiriaco M, Bastin S, Yiou P, Haeffelin M, Dupont J-C, Stéfanon M. 2014. European heatwave in July 2006: observations and modeling showing how local processes amplify conducive large-scale conditions. Geophys Res Lett. 41:5644–5652. DOI:https://doi.org/10.1002/2014GL060205.
- Collins M, Sutherland M, Bouwer L, Cheong S-M, Frölicher T, Jacot Des Combes H, Koll Roxy M, Losada I, McInnes K, Ratter B, et al. 2019. Extremes, abrupt changes and managing risk. In: Pörtner H-O, Roberts DC, Masson-Delmotte V, Zhai P, Tignor M, Poloczanska E, Mintenbeck K, Alegría A, Nicolai M, Okem A, Petzold J, Rama B, Weyer NM, editors, IPCC special report on the ocean and cryosphere in a changing climate. In press.
- Donner SD, Skirving WJ, Little CM, Oppenheimer M, Hoegh-Guldberg OVE. 2005. Global assessment of coral bleaching and required rates of adaptation under climate change. Glb Chg Bio. 11:2251–2265.
- Engelhard GH, Pinnegar JK, Kell LT, Rijnsdorp AD. 2011. Nine decades of North Sea sole and plaice distribution. ICES J Mar Sci. 68:1090–1104. doi:https://doi.org/10.1093/icesjms/fsr031.
- Engelhard GH, Righton DA, Pinnegar JK. 2014. Climate change and fishing: a century of shifting distribution in the North Sea. Glb Chg Bio. 20:2473–2483. doi:https://doi.org/10.1111/gcb.12513.
- Guardian. 2018. Mass die-off of sea creatures follows freezing UK weather. https://www.theguardian.com/environment/2018/mar/05/mass-die-off-of-sea-creatures-follows-freezing-uk-weather.
- Heath MR, Neat FC, Pinnegar JK, Reid DG, Sims DW, Wright PJ. 2012. Review of climate change impacts on marine fish and shellfish around the UK and Ireland. Aquatic Conserv Mar Freshw Ecosyst. 22:337–367.
- Hobday AJ, Alexander LV, Perkins SE, Smale DA, Straub SC, Oliver ECJ, Benthuysen JA, Burrows MT, Donat MG, Feng M, et al. 2016. A hierarchical approach to defining marine heatwaves. Prog Oceanogr. 141:227–238. DOI:https://doi.org/10.1016/j.pocean.2015.12.014.
- Hobday AJ, Pecl GT. 2014. Identification of global marine hotspots: sentinels for change and vanguards for adaptation action. Rev Fish Biol Fish. 24:415–425. DOI:https://doi.org/10.1007/s11160-013-9326-6.
- Horwood JW, Millner RS. 1998. Cold induced abnormal catches of sole. J Mar Biol Assoc UK. 78:345–347.
- Huthnance J, Weisse R, Wahl T, Thomas H, Pietrzak J, Souza AJ, van Heteren S, Schmelzer N, van Beusekom J, Colijn F, et al. 2016. Recent change – North Sea. In: Quante M, Colijn F, editors. North Sea region climate change assessment. Cham: Springer International Publishing; p. 85–136. DOI:https://doi.org/10.1007/978-3-319-39745-0_3.
- ICES. 1977. ICES statistical rectangle coding system. CM 1977/Gen:3. http://ices.dk/sites/pub/CM%20Doccuments/1977/Gen/ICES%20Statistical%20Rectangle%20System%20Gen0377.pdf.
- ICES. 2019. Working Group on the assessment of demersal stocks in the North Sea and Skagerrak (WGNSSK). ICES Scientific Reports. 1:7. 1271 pp. http://doi.org/10.17895/ices.pub.5402.
- IPCC. 2019. IPCC special report on the ocean and cryosphere in a changing climate, Pörtner H-O, Roberts DC, Masson-Delmotte V, Zhai P, Tignor M, Poloczanska E, Mintenbeck K, Alegría A, Nicolai M, Okem A, Petzold J, Rama B, Weyer NM, editors. In press.
- Jacox MG, Alexander MA, Bograd SJ, Scott JD. 2020. Thermal displacement by marine heatwaves. Nature. 584:82–86.
- Kendall M. 1975. Rank correlation methods. 4th ed. London: Charles Griffith.
- Loewe P. 1996. Surface temperatures of the North Sea in 1996. Deutsche Hydrographische Zeitschrift. 48:175–184. DOI:https://doi.org/10.1007/BF02799386.
- Mann HB. 1945. Nonparametric tests against trend. Econometrica. 13(3):245–259. DOI:https://doi.org/10.2307/1907187.
- Oliver ECJ, Burrows MT, Donat MG, Gupta AS, Alexander LV, Perkins-Kirkpatrick SE, Benthuysen JA, Hobday AJ, Holbrooj NJ, Moore PJ, et al. 2019. Projected marine heatwaves in the 21st century and the potential for ecological impacts. Front Mar Sci. DOI:https://doi.org/10.3389/fmars.2019.00734.
- Oliver ECJ, Lago V, Hobday AJ, Holbrook NJ, Ling SD, Mundy CN. 2018. Marine heatwaves off eastern Tasmania: trends, interannual variability, and predictability. Prog Oceanogr. 161:116–130. DOI:https://doi.org/10.1016/j.pocean.2018.02.007.
- Perry AL, Low PJ, Ellis JR, Reynolds JD. 2006. Climate change and distribution shifts in marine fishes. Science. 308:1912–1915. DOI:https://doi.org/10.1126/science.1111322.
- Pinnegar JK, Engelhard GH, Jones MC, Cheung WWL, Peck MA, Rijnsdorp AD, Brander KM. 2016. Chapter 12: socio-economic impacts – fisheries. In: Quante M, Colijn C, editors. North Sea region climate change assessment (NOSCCA), regional climate studies. Berlin: Springer; p. 375–395.
- Schlegel RW, Oliver ECJ, Wernberg T, Smit AJ. 2017. Nearshore and offshore co-occurrence of marine heatwaves and cold-spells. Prog Oceanogr. 151:189–205. DOI:https://doi.org/10.1016/j.pocean.2017.01.004.
- Sheehy MRJ, Shelton PMJ, Wickins JF, Belchier M, Gaten E. 1996. Ageing the European lobster Homarus gammarus by the lipofuscin in its eyestalk ganglia. Mar Ecol Prog Ser. 143:99–111.
- Simpson SD, Jennings S, Johnson MP, Blanchard JL, Schön P-J, Sims DW, Genner ML. 2011. Continental shelf-wide response of a fish assemblage to rapid warming of the sea. Curr Biol. 21:1565–1570. DOI:https://doi.org/10.1016/j.cub.2011.08.016.
- Smale DA, Wernberg T, Oliver ECJ, Thomsen M, Harvey BP, Straub SC, Burrows MT, Alexander LV, Benthuysen JA, Donat MG, et al. 2019. Marine heatwaves threaten global biodiversity and the provision of ecosystem services. Nat Clim Change. DOI:https://doi.org/10.1038/s41558-019-0412-1.
- Stephens PJ. 1985. The effects of temperature and acclimation on crustacean nerve-muscle physiology. Biol Bull. 169:92–105.
- Szekeres P, Eliason EJ, Lapointe D, Donaldson MR, Brownscombe JW, Cooke SJ. 2016. On the neglected cold side of climate change and what it means to fish. Clim Res. 69:239–245. DOI:https://doi.org/10.3354/cr01404.
- Teal LR, de Leeuw JJ, van der Veer HW, Rijnsdorp AD. 2008. Effects of climate change on growth of 0-group sole and plaice. Mar Ecol Prog Ser. 358:219–230.
- Wernberg T, Bennett S, Babcock RC, de Bettignies T, Cure K, Depczynski M, Dufols F, Fromont J, Fulton CJ, Hovey RK, et al. 2016. Climate-driven regime shift of a temperate marine ecosystem. Science. 353:169–172. DOI:https://doi.org/10.1126/science.aad8745.
- Wernberg T, Smale DA, Tuya F, Thomsen MS, Langlois TJ, de Bettignies T, Bennett S, Rousseaux CS. 2013. An extreme climatic event alters marine ecosystem structure in a global biodiversity hotspot. Nat Clim Change. 3:78–82.
- Woodhead PMJ. 1964. The death of North Sea fish during the winter of 1962/63, particularly with reference to the sole, Solea vulgaris. Helgol Mar Res. 10:283–300. DOI:https://doi.org/10.1007/BF01626114.
Section 3.3. Massive occurrence of the jellyfish Portuguese Man-of-War in the Mediterranean Sea: implication for coastal management
- Angel DL, Edelist D, Freeman S. 2016. Local perspectives on regional challenges: jellyfish proliferation and fish stock management along the Israeli Mediterranean coast. Reg Environ Change. 16(2):315–323.
- Badré S. 2014. Bioactive toxins from stinging jellyfish. Toxicon. 91:114–125.
- Bosch-Belmar M, Azzurro E, Pulis K, Milisenda G, Fuentes V, Yahia OK, Micallef A, Deidun A, Piraino S. 2017. Jellyfish blooms perception in Mediterranean finfish aquaculture. Mar Policy. 76:1–7.
- Brotz L, Cheung WWL, Kleisner K, Pakhomov E, Pauly D. 2012. Increasing jellyfish populations: trends in large marine ecosystems. Hydrobiologia. 690:3–20.
- Burnett JW, Gable WD. 1989. A fatal jellyfish envenomation by the Portuguese Man-ó-War. Toxicon. 27:823–824.
- Cazorla-Perfetti DJ, Loyo J, Lugo L, Acosta ME, Morales P, Hadda V, Jr, Rodriguez-Morales AJ. 2012. Epidemiology of the Cnidarian Physalia physalis stings attended at a health care center in beaches of Adicora, Venezuela. Travel Med Infect Dis. 10:263–266.
- Ciscar JC, Iglesias A, Feyen L, Szabó L, Van Regemorter D, Amelung B, Nicholls R, Watkiss P, Christensen OB, Dankers R, Garrote L. 2001. Physical and economic consequences of climate change in Europe. Proc Natl Acad Sci USA. 108:2678–2683.
- Eurostat. 2020. Tourism database. Available at the Eurostat website [accessed 2020 Dec 1]. https://ec.europa.eu/eurostat/web/tourism/data/database.
- Ferrer L, Pastor A. 2017. The Portuguese Man-of-War: gone with the wind. Reg Stud Marine Sci. 14:53–62.
- Ferrer L, Zaldua-Mendizabal N, Del Campo A, Franco J, Mader J, Cotano U, Uriarte A, Aranada JA. 2015. Operational protocol for the sighting and tracking of Portuguese Man-of-War in the southeastern Bay of Biscay: observations and modeling. Cont Shelf Res. 95:39–53.
- Ghermandi A, Galil B, Gowdy J, Nunes PALD. 2015. Jellyfish outbreak impacts on recreation in the Mediterranean Sea: welfare estimates from a socioeconomic pilot survey in Israel. Ecosyst Serv. 11:140–147.
- Haddad V, Jr, Virga R, Bechara A, Lang da Silveira F, Morandini AC. 2013. An outbreak of Portuguese Man-of-War (Physalia physalis – Linnaeus, 1758) envenoming in Southeastern Brazil. Rev Soc Bras Med Trop. 46(5):641–644.
- Headlam J, Lyons K, Kenny J, Lenihan ES, Quigley DTG, Helps W, Dugon MM, Doyle TK. 2020. Insights on the origin and drift trajectories of Portuguese man of war (Physalia physalis) over the Celtic Sea shelf area. Estuarine Coastal Shelf Sci. 246:107033.
- Kirkpatrick PA, Pugh PR. 1984. Siphonophores and velellids. Synop Br Fauna New Ser. 29:1–154.
- Kogovsek T, Bogunovic B, Malej A. 2010. Recurrence 1571 of bloom-forming scyphomedusae: wavelet analysis of a 200-year time series. Hydrobiologia. 645:81–96.
- Kontogianni AD, Emmanouilides CJ. 2014. The cost of a gelatinous future and loss of critical habitats in the Mediterranean. ICES J Mar Sci. DOI:https://doi.org/10.1093/icesjms/fst194.
- Labadie M, Aldabe B, Ong N, Joncquiert-Latarjet A, Groult V, Poulard A, Coudreuse M, Cordier L, Rolland P, Chanseau P, de Haro L. 2012. Portuguese Man-of-War (Physalia physalis) envenomation on the aquitaine coast of France: an emerging health risk. Clin Toxicol. 50:567–570.
- Lett C, Verley P, Mullon C, Parada P, Brochier T, Penven P, Blanke B. 2008. A Lagrangian tool for modelling ichthyoplankton dynamics. Environ Model Softw. 23(9):1210–1214.
- Macias D, Cózar A, Garcia-Gorriz E, González-Fernández D, Stips A. 2019. Surface water circulation develops seasonally changing patterns of floating litter accumulation in the Mediterranean Sea. A modelling approach. Mar Pollut Bull. 149:110619.
- Macias D, Garcia-Gorriz E, Piroddi C, Stips A. 2014. Biogeochemical control of marine productivity in the Mediterranean Sea during the last 50 years. Global Biogeochem Cycles. 28(8):897–907.
- Mapstone GM. 2014. Global diversity and review of Siphonophorae (Cnidaria: Hidrozoa). PLoS One. 9(2):e87737. doi:https://doi.org/10.1371/journal.pone.0087737.
- Munro C, Vue Z, Behringer RR, Dunn CW. 2019. Morphology and development of the Portuguese man of war, Physalia physalis. Sci Rep. 9:15522. doi:https://doi.org/10.1038/s41598-019-51842-1.
- Hurrell J, National Center for Atmospheric Research Staff, editors. 2020. The climate data guide: Hurrell North Atlantic Oscillation (NAO) Index (station-based). [accessed 2020 Apr 24]. https://climatedataguide.ucar.edu/climate-data/hurrell-north-atlantic-oscillation-nao-index-station-based.
- Prieto L. 2018. Diagnosis, prognosis, and management of jellyfish swarms. In: Chassignet EP, Pascual A, Tintoré J, Verron J, editors. New Frontiers in operational oceanography. p. 737–758. DOI:https://doi.org/10.17125/gov2018.ch28.737.
- Prieto L, Macías D, Peliz A, Ruiz J. 2015. Portuguese Man-of-War (Physalia physalis) in the Mediterranean: a permanent invasion or a casual appearance? Sci Rep. 5:11545.
- Purcell JE, Uye S-I, Lo W-T. 2007. Anthropogenic causes of jellyfish blooms and direct consequences for humans: a review. Mar Ecol Prog Ser. 350:153–174.
- World Tourism Organization. 2018. European Union tourism trends. Madrid: UNWTO. DOI:https://doi.org/10.18111/9789284419470.
Section 3.4. Recent changes of the salinity distribution and zooplankton community in the South Adriatic Pit
- Batistić M, Garić R, Jasprica N, Ljubimir S, Mikuš J. 2018. Bloom of the heterotrophic dinoflagellate Noctiluca scintillans (Macartney) Kofoid & Swezy, 1921 and tunicates Salpa fusiformis Cuvier, 1804 and Salpa maxima Forskål, 1775 in the open southern Adriatic in 2009. J Mar Biol Assoc UK. 99:1049–1058. DOI:https://doi.org/10.1017/S0025315418001029.
- Batistić M, Garić R, Molinero JC. 2014. Interannual variations in Adriatic Sea zooplankton mirror shifts in circulation regimes in the Ionian Sea. Clim Res. 61:231–240.
- Batistić M, Jasprica N, Carić M, Čalić M, Kovačević V, Garić R, Njire J, Mikuš J, Bobanović-Ćolić S. 2012. Biological evidence of a winter convection event in the South Adriatic: a phytoplankton maximum in the aphotic zone. Cont Shelf Res. 44:57–71. DOI:https://doi.org/10.1016/j.csr.2011.01.004.
- Batistić M, Mikuš J, Njire J. 2003. Chaetognaths in the South Adriatic: vertical distribution and feeding. J Mar Biol Ass UK. 83(6):1301–1306.
- Batistić M, Viličić D, Kovačević V, Jasprica N, Garić R, Lavigne H, Carić M. 2019. Occurrence of winter phytoplankton bloom in the open southern Adriatic: relationship with hydroclimatic events in the Eastern Mediterranean. Cont Shelf Res. 174:12–25.
- Benović A. 2000. Zooplankton biomass and fish production in the Adriatic Sea. CIESM Workshop Series. 12:23–24.
- Boero F, Belmonte G, Bracale R, Fraschetti S, Piraino S, Zampardi S. 2013. A salp bloom (Tunicata, Thaliacea) along the Apulian coast and in the Otranto channel between March-May 2013. F1000Res. 2:181.
- Boero F, Bouillon J, Gravili C, Miglietta MP, Parsons T, Piraino S. 2008. Gelatinous plankton: irregularities rule the world (sometimes). Mar Ecol Prog Ser. 356:299–310.
- Boldrin A, Miserocchi S, Rabitti S, Turchetto MM, Balboni V, Socal G. 2002. Particulate matter in the southern Adriatic and Ionian Sea: characterization and downward fluxes. J Mar Sys. 33–34:389–410.
- Borme D, Tirelli V, Brandt SB, Umani SF, Arneri E. 2009. Diet of Engraulis encrasicolus in the northern Adriatic Sea (Mediterranean): ontogenetic changes and feeding selectivity. Mar Ecol Prog Ser. 392:193–209. DOI:https://doi.org/10.3354/meps08214.
- Borme D, Tirelli V, Palomera I. 2013. Feeding habits of European pilchard late larvae in a nursery area in the Adriatic Sea. J Sea Res. 78:8–17. DOI:https://doi.org/10.1016/j.seares.2012.12.010.
- Cardin V, Bensi M, Pacciaroni M. 2011. Variability of water mass properties in the last two decades in the South Adriatic Sea with emphasis on the period 2006–2009. Cont Shelf Res. 31:951–965. DOI:https://doi.org/10.1016/j.csr.2011.03.002.
- Carniel S, Bergamasco A, Book JB, Hobbs RW, Sclavo M, Wood WT. 2012. Tracking bottom waters in the southern Adriatic Sea applying seismic oceanography techniques. Cont Shelf Res. 44:30–38. DOI:https://doi.org/10.1016/j.csr.2011.09.004.
- Cerino F, Bernardi Aubry F, Coppola J, La Ferla R, Maimone G, Socal GG, Totti C. 2012. Spatial and temporal variability of pico-, nano- and micro phytoplankton in the offshore waters of the southern Adriatic Sea (Mediterranean Sea). Cont Shelf Res. 44:94–105.
- Civitarese G, Gačić M, Eusebi Borzelli GL, Lipizer M. 2010. On the impact of the Bimodal Oscillating System (BiOS) on the biogeochemistry and biology of the Adriatic and Ionian Seas (eastern Mediterranean). Biogeosciences. 7:3987–3997. doi:https://doi.org/10.5194/bg-7-3987-2010.
- Cushman-Roisin B, Gacic M, Poulain P-M, Artegiani A. 2001. Chapter 8: toward the future. In: Cushman-Roisin B, Gacic M, Poulain P-M, Artegiani A, editors. Physical oceanography of the Adriatic Sea – past, present and future. Dordrecht: Kluwer Academic Publishers; p. 241–245.
- D’Alelio D, Libralato S, Wyatt T, Ribera D'Alcala M. 2016. Ecological-network models link diversity, structure and function in the plankton food-web. Sci Rep. 6:21806.
- Dragičević B, Matić-Skoko S, Dulčić J. 2017. Fish and fisheries of the eastern Adriatic Sea in the light of climate change, trends in fisheries and aquatic animal health, berillis, panagiotis (ur.). Sharjah: Bentham e-books. str. 1–22. DOI:10.2174/97816810858071170101.
- Fogarty MJ, Rosenberg AA, Cooper AB, Dickey-Collas M, Fulton EA, Gutiérrez NL, Hyde KJ, Kleisner KM, Kristiansen T, Longo C, Minte-Vera CV. 2016. Fishery production potential of large marine ecosystems: a prototype analysis. Environ Develop. 17:211–219.
- Gacic M, Civitarese G. 2012. Introductory notes on the South Adriatic oceanography. Cont Shelf Res. 44:2–4.
- Gačić M, Civitarese G, Miserocchi S, Cardin V, Crise A, Mauri E. 2002. The open-ocean convection in the Southern Adriatic: a controlling mechanism of the spring phytoplankton bloom. Cont Shelf Res. 22:1897–1908.
- Grbec B, Dulčić J, Morović M. 2002. Long-term changes in landings of small pelagic fish in the eastern Adriatic – possible influence of climate oscillations over the northern hemisphere. Clim Res. 20:241–252. doi:https://doi.org/10.3354/cr020241.
- Grbec B, Morović M, Paklar GB, Kušpilić G, Matijević S, Matić F, Ninčević Gladan Ž. 2009. The relationship between the atmospheric variability and productivity in the Adriatic Sea area. J Mar Biol Assoc UK. 89:1549–1558.
- Guglielmo R, Bergamasco A, Minutoli R, Patti FP, Belmonte G, Spanò N, Zagami G, Bonanzinga V, Guglielmo L, Granata A. 2019. The Otranto channel (South Adriatic Sea), a hot-spot area of plankton biodiversity: pelagic polychaetes. Sci Rep. 9:19490.
- Harris R, Wiebe P, Lenz J, Skjodal HR, Huntley M., editors. 2000. ICES zooplankton methodology manual. London: Academic Press. p. 684.
- Hernández-León S, Pilar Olivar M, Fernández de Puelles ML, Bode A, Castellón A, López-Pérez C, Tuset VM, González-Gordillo JI. 2019. Zooplankton and micronekton active flux across the tropical and subtropical Atlantic Ocean. Front Mar Sci. 6:535. DOI:https://doi.org/10.3389/fmars.2019.00535.
- Houpert L, Durrieu de Madron X, Testor P, Bosse A, d'Ortenzio F, Bouin MN, Dausse D, Le Goff H, Kunesch S, Labaste M, Coppola L. 2016. Observations of open-ocean deep convection in the northwestern Mediterranean Sea: seasonal and interannual variability of mixing and deep water masses for the 2007–2013 period. J Geophys Res Oceans. 121:8139–8171. DOI:https://doi.org/10.1002/2016JC011857.
- Hure J, Ianora A, Scotto di Carlo B. 1980. Spatial and temporal distribution of copepod communities in the Adriatic Sea. J Plankton Res. 2:295–316.
- Hure J, Kršinić F. 1998. Planktonic copepods of the Adriatic Sea. Spatial and temporal distribution. Nat Croat. 7:1–135.
- Janeković I, Mihanović H, Vilibić I, Tudor M. 2014. Extreme cooling and dense water formation estimates in open and coastal regions of the Adriatic Sea during the winter of 2012. J Geophys Res Oceans. 119:3200–3218. DOI:https://doi.org/10.1002/2014JC009865.
- Klein B, Roether W, Civitarese G, Gacic M, Manca BB, d'Alcala MR. 2000. Is the Adriatic returning to dominate the production of Eastern Mediterranean deep water? Geophys Res Lett. 27(20):3377–3380. DOI:https://doi.org/10.1029/2000GL011620.
- Kokkini Z, Mauri E, Gerin R, Poulain P-M, Simoncelli S, Notarstefano G. 2019. On the salinity structure in the South Adriatic as derived from float and glider observations in 2013–2016. Deep-Sea Research Part II. 171:104625. p. 11.
- Kokkini Z, Notarstefano G, Poulain P-M, Mauri E, Gerin R, Simoncelli S. 2018. In Von Schuckmann et al., 2018. Unusual salinity pattern in the South Adriatic Sea. Copernicus marine service ocean state report 2018-09-08. J Oper Oceanogr. 11(sup1):S1–S142.
- Libralato S, Coll M, Tudela S, Palomera I, Pranovi F. 2008. Novel index for quantification of ecosystem effects of fishing as removal of secondary production. Mar Ecol Prog Ser. 355:107–129. doi:https://doi.org/10.3354/meps07224.
- Lipizer M, Partescano E, Rabitti A, Giorgetti A, Crise A. 2014. Qualified temperature, salinity and dissolved oxygen climatologies in a changing Adriatic Sea. Ocean Sci.10:771--797. DOI:https://doi.org/10.5194/os-10-771-2014.
- Manca BB, Kovacevic V, Gacic M, Viezzoli D. 2002. Dense water formation in the southern Adriatic Sea and spreading into the Ionian Sea in the period 1997–1999. J Mar Sys. 33:133–154. DOI:https://doi.org/10.1016/S0924-7963(02)00056-8.
- Mattia G, Zavatarelli M, Vichi M, Oddo P. 2013. The eastern Mediterranean Sea biogeochemical dynamics in the 1990s: a numerical study. J Geophys Res Oceans. 118:2231–2248.
- Mauri E, Gerin R, Poulain P-M. 2016. Measurements of water-mass properties with a glider in the south-western Adriatic Sea. J Oper Oceanogr. 9(sup1):s3–s9. DOI:https://doi.org/10.1080/1755876X.2015.1117766.
- Miloslavić M, Lučić D, Njire J, Gangai B, Onofri I, Garić R, Žarić M, Miri Osmani F, Pestorić B, Nikleka E, Shumka S. 2012. Zooplankton composition and distribution across coastal and offshore waters off Albania (southern Adriatic) in late spring. Acta Adriat. 53(2):163–178.
- Morello EB, Arneri E. 2009. Anchovy and sardine in the Adriatic Sea – an ecological review. In: Gibson RN, Atkinson RJA, Gordon JDM, editors. Oceanography and marine biology: an annual review, volume 47. CRC Press; p. 209–255.
- Njire J, Batistić M, Kovačević V, Garić R, Bensi M. 2019. Tintinnid ciliate communities in pre- and post-winter conditions in the southern Adriatic Sea (NE Mediterranean). Water. 11:2329. DOI:https://doi.org/10.3390/w11112329.
- Notarstefano G, Poulain P-M. 2010. Delayed mode quality control of Argo salinity data in the Mediterranean and Black Sea. 2010-01-01 – Tech. Rep. 2010/32 OGA 6 SIRE.
- Notarstefano G, Poulain P-M. 2013. Delayed mode quality control of Argo salinity data in the Mediterranean Sea: a regional approach 2013/103 Sez. OCE 40 MAOS 19pp.
- Owens WB, Wong APS. 2009. An improved calibration method for the drift of the conductivity sensor on autonomous CTD profiling floats by θ–S climatology. Deep Sea Res Part I. 56(3):450–457.
- Paklar GB, Vilibic I, Grbec B, Matc F, Mihanovich H, Dzoic T, Santic D, Sestanovic S, Solic M, Ivatek-Sahdan S, et al. 2020. Record-breaking salinities in the middle Adriatic during summer 2017 and concurrent changes in the microbial food web. Prog Oceanog. 185:102345. DOI:https://doi.org/10.1016/j.pocean.2020.102345.
- Pakhomov EA, Froneman PW, Perissinotto R. 2002. Salp/krill interactions in the Southern Ocean: spatial segregation and implications for the carbon flux. Deep Sea Res Part II. 49(9–10):1881–1907.
- Pauly D, Christensen V. 1995. Primary production required to sustain global fisheries. Nature. 374(6519):255–257.
- Poulain P-M, Cushman-Roisin B. 2001. Chapter 3: circulation. In: Cushman-Roisin B, Gacic M, Poulain P-M, Artegiani A, editors. Physical oceanography of the Adriatic Sea – past, present and future. Dordrecht: Kluwer Academic Publishers; p. 67–109.
- Russo A, Artegiani A. 1996. Adriatic Sea hydrography. Sci Mar. 60(2):33–43.
- Socal G, Boldrin A, Bianchi F, Civitarese G, De Lazzari A, Rabitti S, Totti C, Turchetto MM. 1999. Nutrient, particulate matter and phytoplankton variability in the photic layer of the Otranto strait. J Mar Sys. 20:381–398.
- Turchetto MM, Bianchi F, Boldrin A, Malaguti A, Rabitti S, Socal G, Strada L. 2000. Nutrients, phytoplankton and primary production processes in oligotrophic areas (southern Adriatic and northern Ionian seas). Atti Assoc Ital Oceanol Limnol. 13(2):269–278.
- Ursella L, Cardin V, Batistić M, Garić R, Gačić M. 2018. Evidence of zooplankton vertical migration from continuous southern Adriatic buoy current-meter records. Prog Oceanogr. 167:78–96.
- Vidjak O, Bojanić N, Bojanić N, Matijević S, Kušplić G, Ninčević G, Skejić S, Grbec B. 2012. Environmental drivers of zooplankton variability in the coastal eastern Adriatic (Mediterranean Sea). Acta Adriat. 52(2):243–262.
- Vilibić I, Matijević S, Šepić J, Kušpilić G. 2012. Changes in the Adriatic oceanographic properties induced by the Eastern Mediterranean transient. Biogeosciences. 9:2085–2097.
- Vilibić I, Supić N. 2005. Dense water generation on a shelf: the case of Adriatic Sea. Ocean Dyn. 55:403–415. DOI https://doi.org/10.1007/s10236-005-0030-5.
- Viličić D. 1991. A study of phytoplankton in the Adriatic Sea after the July 1984 bloom. Internationale Revue der Gesamten Hydrobiologie. 76(2):197–211.
- Viličić D. 1994. Distribution of phytoplankton biomass in relation to oceanographic conditions in the Adriatic Sea. Period Biol. 96:444–446.
- Viličić D. 1998. Phytoplankton taxonomy and distribution in the offshore southern Adriatic. Nat Croat. 7(2):127–141.
- Viličić D, Leder N, Gržetić Z, Jasprica N. 1995. Microphytoplankton in the Strait of Otranto (eastern Mediterranean). Mar Biol. 123:619–630.
- Viličić D, Vučak Z, Škrivanić A, Grzetić Z. 1989. Phytoplankton blooms in the oligotrophic open South Adriatic waters. Mar Chem. 28(1–3):89–107.
- Wong A, Keeley R, Carval T, Argo Data Management Team. 2020. Argo quality control manual for CTD and trajectory data. DOI:https://doi.org/10.13155/33951.
- Zonn IS, Kostianoy AG. 2016. The Adriatic Sea. In: Joksimović A, Djurović M, Semenov A, Zonn I, Kostianoy A, editor. The Boka Kotorska Bay environment. The handbook of environmental chemistry, Vol. 54. Cham: Springer; p. 19–42.
Section 3.5. Delivering high quality sea-ice information around the Svalbard archipelago to marine end-users
- Aase JG, Jabour J. 2015. Can monitoring maritime activities in the European high Arctic by satellite-based automatic identification system enhance polar search and rescue? Polar J. 5(2):386–402.
- Breiman L. 2001. Random forests. Mach Learn. 45:5–32. DOI:https://doi.org/10.1023/A:1010933404324.
- Bystrowska M. 2019. The impact of sea ice on cruise tourism on Svalbard. Arctic. 72(2):151–165.
- Fossheim M, Primicerio R, Johannesen E, Ingvaldsen RB, Aschan MM, Dolgov AV. 2015. Recent warming leads to a rapid borealization of fish communities in the Arctic. Nat Clim Change. 5(7):673.
- Frainer A, Primicerio R, Kortsch S, Aune M, Dolgov AV, Fossheim M, Aschan MM. 2017. Climate-driven changes in functional biogeography of Arctic marine fish communities. Proc Natl Acad Sci USA. 114(46):12202–12207.
- Hanssen-Bauer I, Førland EJ, Hisdal H, Mayer S, Sandø AB, Sorteberg A. 2019. Climate in Svalbard 2100 – a knowledge base for climate adaptation. http://www.miljodirektoratet.no/Documents/publikasjoner/M1242/M1242.pdf.
- Hebert DA, Allard RA, Metzger EJ, Posey PG, Preller RH, Wallcraft AJ, Phelps MW, Smedstad OM. 2015. Short-term sea ice forecasting: an assessment of ice concentration and ice drift forecasts using the U.S. Navy’s Arctic cap nowcast/forecast system. J Geophys Res Oceans. 120:8327–8345. DOI:https://doi.org/10.1002/2015JC011283.
- IPCC. 2019. Summary for policymakers. In: Pörtner H-O, Roberts DC, Masson-Delmotte V, Zhai P, Tignor M, Poloczanska E, Mintenbeck K, Alegría A, Nicolai M, Okem A, Petzold J, Rama B, Weyer NM, editors, IPCC special report on the ocean and cryosphere in a changing climate. In press.
- Isaksen K, Nordli Ø, Førland EJ, Łupikasza E, Eastwood S, Niedźwiedź T. 2016. Recent warming on Spitsbergen – influence of atmospheric circulation and sea ice cover. J Geophys Res Atmos. 121:11,913–11,931. DOI:https://doi.org/10.1002/2016JD025606.
- Jeuring J, Knol-Kauffman M. 2019. Mapping weather, water, ice and climate knowledge & information needs for maritime activities in the Arctic. SALIENSEAS participatory mapping survey report.
- Knol M, Arbo P, Duske P, Gerland S, Lamers M, Pavlova O, Doksæter Sivle A, Tronstad S. 2018. Making the Arctic predictable: the changing information infrastructure of Arctic weather and sea ice services. Polar Geogr. 41(4):279–293.
- Kwok R, Cunningham GF, Wensnahan M, Rigor I, Zwally HJ, Yi D. 2009. Thinning and volume loss of the Arctic Ocean sea ice cover: 2003–2008. J Geophys Res. 114:C07005. DOI:https://doi.org/10.1029/2009JC005312.
- Lamers M, Duske P, van Bets L. 2018. Understanding user needs: a practice-based approach to exploring the role of weather and sea ice services in European Arctic expedition cruising. Polar Geogr. 1–17. DOI:https://doi.org/10.1080/1088937X.2018.1513959.
- Lasserre F. 2015. Simulations of shipping along Arctic routes: comparison, analysis and economic perspectives. Polar Rec. 51(3):239–259.
- Lavergne T, Sørensen AM, Kern S, Tonboe R, Notz D, Aaboe S, Bell L, Dybkjær G, Eastwood S, Gabarro C, et al. 2019. Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records. Cryosphere. 13(1):49–78. doi:https://doi.org/10.5194/tc-13-49-2019.
- Lemelin H, Dawson J, Stewart EJ, Maher P, Lueck M. 2010. Last-chance tourism: The boom, doom, and gloom of visiting vanishing destinations. Curr. Issues Tour.. 13(5):477–493.
- Melia N, Haines K, Hawkins E, Day J. 2017. Towards seasonal Arctic shipping route predictions. Environ Res Lett. 12(8):084005.
- Onarheim IH, Smedsrud LH, Ingvaldsen RB, Nilsen F. 2014. Loss of sea ice during winter north of Svalbard. Tellus A Dyn Meteorol Oceanogr. 66(1):23933. DOI:https://doi.org/10.3402/tellusa.v66.23933.
- Palma D, Varnajot A, Dalen K, Basaran IK, Brunette C, Bystrowska M, Korablina AD, Nowicki RC, Ronge TA. 2019. Cruising the marginal ice zone: climate change and Arctic tourism. Polar Geogr. 42(4):215–235.
- Rabatel M, Rampal P, Carrassi A, Bertino L, Jones CKRT. 2018. Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic. Cryosphere. 12:935–953. DOI:https://doi.org/10.5194/tc-12-935-2018.
- Renner AHH, Hendricks S, Gerland S, Beckers J, Haas C, Krumpen T. 2013. Large-scale ice thickness distribution of first-year sea ice in spring and summer north of Svalbard. Ann Glaciol. 54(62):13–18. DOI:https://doi.org/10.3189/2013AoG62A146.
- Renner AHH, Sundfjord A, Janout MA, Ingvaldsen RB, Beszczynska-Möller A, Pickart RS, Pérez-Hernández MD. 2018. Variability and redistribution of heat in the Atlantic water boundary current North of Svalbard. J Geophys Res Oceans. 123(9):6373–6391. DOI:https://doi.org/10.1029/2018JC013814.
- Rosel A, Itkin P, King J, Divine D, Wang C, Granskog MA, Krumpen T, Gerland S. 2018. Thin sea ice, thick snow, and widespread negative freeboard observed during N-ICE2015 North of Svalbard: sea ice and snow during N-ICE2015. J Geophys Res Oceans. 123(2):1156–1176. DOI:https://doi.org/10.1002/2017JC012865.
- Sakov P, Counillon F, Bertino L, Lisæter KA, Oke PR, Korablev A. 2012. TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic. Ocean Sci. 8:633–656. doi:https://doi.org/10.5194/os-8-633-2012.
- Schweiger AJ, Zhang J. 2015. Accuracy of short-term sea ice drift forecasts using a coupled ice-ocean model. J Geophys Res Oceans. 120:7827–7841. DOI:https://doi.org/10.1002/2015JC011273.
- Stautland K. 2019. New rules for passenger ships in Svalbard. Norwegian Maritime Authority https://www.sdir.no/en/news/news-from-the-nma/new-rules-for-passenger-ships-in-svalbard/.
- Stocker A, Renner AHH, Knol-Kauffman M. 2020. Sea ice variability and maritime activity around Svalbard in the period 2012–2019. Sci Rep. 10. DOI:https://doi.org/10.1038/s41598-020-74064-2.
- Wagner PM, Hughes N, Bourbonnais P, Stroeve J, Rabenstein L, Bhatt U, Little J, Wiggins H, Fleming A. 2020. Sea-ice information and forecast needs for industry maritime stakeholders. Polar Geogr. 43(2–3):160–187.
- Yu X, Rinke A, Dorn W, Spreen G, Lüpkes C, Sumata H, Gryanik VM. 2020. Evaluation of Arctic sea ice drift and its dependency on near-surface wind and sea ice conditions in the coupled regional climate model HIRHAM–NAOSIM. Cryosphere. 14:1727–1746. DOI:https://doi.org/10.5194/tc-14-1727-2020.
Section 3.6. Developing spatial distribution models for demersal species by the integration of trawl surveys data and relevant ocean variables
- Amoroso RO, Pitcher CR, Rijnsdorp AD, Mcconnaughey RA, Parma AM, Suuronen P, Silva C. 2018. Bottom trawl fishing footprints on the world’s continental shelves. Proc Natl Acad Sci U S A. 115(43):E10275–E10282.
- Bastardie F, Rasmus Nielsen J, Miethe T. 2014. DISPLACE: a dynamic, individual-based model for spatial fishing planning and effort displacement – integrating underlying fish population models. Can J Fish Aquat Sci. 71:366–386. DOI:https://doi.org/10.1139/cjfas-2013-0126.
- Bertrand JA, De Sola LG, Papaconstantinou C, Relini G, Souplet A. 2002. The general specifications of the MEDITS surveys. Sci Mar. 66(Suppl. 2):9–17.
- Bitetto I, Romagnoni G, Adamidou A, Certain G, Di Lorenzo M, Donnaloia M, Lembo G, Maiorano P, Milisenda G, Musumeci C, et al. 2019. Modelling spatio-temporal patterns of fish community size structure across the northern Mediterranean Sea: an analysis combining MEDITS survey data with environmental and anthropogenic drivers. Sci Mar. 83(S1):141–151. DOI:https://doi.org/10.3989/scimar.05015.06A.
- Brodie SJ, Thorson JT, Carroll G, Hazen EL, Bograd S, Haltuch MA, Holsma KK, Kotwicki S, Samhouri JF, Willis-Norton E, Selden RL. 2020. Trade-offs in covariate selection for species distribution models: a methodological comparison. Ecography. 43(1):11–24.
- Cao J, Thorson JT, Richards RA, Chen Y. 2017. Spatiotemporal index standardization improves the stock assessment of northern shrimp in the Gulf of Maine. Can J Fish Aquat Sci. 74(11):1781–1793.
- Carlucci R, Bandelj V, Ricci P, Capezzuto F, Sion L, Maiorano P, Libralato S. 2018. Exploring spatio-temporal changes in the demersal and benthopelagic assemblages of the north-western Ionian Sea (central Mediterranean Sea). Mar Ecol Prog Ser. 598:1–19.
- Carlucci R, Lembo G, Maiorano P, Capezzuto F, Marano CA, Sion L, Spedicato MT, Ungaro N, Tursi A, D’Onghia G. 2009. Nursery areas of red mullet (Mullus barbatus), hake (Merluccius merluccius), and deepwater rose shrimp (Parapenaeus longirostris) in the eastern-central Mediterranean Sea. Estuar Coast Shelf Sci. 83:529–538.
- Colloca F, Garofalo G, Bitetto I, Facchini MT, Grati F, Martiradonna A, Mastrantonio G, Nikolioudakis N, Ordinas F, Scarcella G, et al. 2015. The seascape of demersal fish nursery areas in the North Mediterranean Sea, a first step towards the implementation of spatial planning for trawl fisheries. PLoS One. 10(3):e0119590. DOI:https://doi.org/10.1371/journal.pone.0119590.
- Cotter J, Petitgas P, Abella A, Apostolaki P, Mesnil B, Politou C-Y, Rivoirard J, Rochet M-J, Spedicato MT, Trenkel VM, Woillez M. 2009. Towards an ecosystem approach to fisheries management (EAFM) when trawl surveys provide the main source of information. Aquat Living Resour. 22:243–254. DOI:https://doi.org/10.1051/alr/2009025.
- Druon JN, Fiorentino F, Murenu M, Knittweis L, Colloca F, Osio C, Sbrana M. 2015. Modelling of European hake nurseries in the Mediterranean Sea: an ecological niche approach. Prog Oceanogr. 130:188–204.
- EU. 2013. Council regulation (EU) 1385/2013 of 17 December 2013, amending Council Regulations (EC) No 850/98 and (EC) 1224/2009, and Regulations (EC) 1069/2009, (EU) No 1379/2013 and (EU) 1380/2013 of the European Parliament and of the Council, following the amendment of the status of Mayotte with regard to the European Union. Official Journal of the European Communities L 354/86.
- EUSAIR. 2014. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee of the Regions concerning the European Union Strategy for the Adriatic and Ionian Region. COM (2014) 357 final.
- FAO. 2018. The state of Mediterranean and Black Sea fisheries. Rome: General Fisheries Commission for the Mediterranean. 172 pp.
- Fulton EA, Link JS, Kaplan IC, Savina-Rolland M, Johnson P, Ainsworth C, Smith DC. 2011. Lessons in modelling and management of marine ecosystems: the Atlantis experience. Fish Fisheries. 12(2):171–188.
- GFCM. 2019. Report of Working Group on Stock Assessment of Demersal Species (WGSAD). http://www.fao.org/gfcm/technical-meetings/detail/en/c/1274921/.
- Giannoulaki M, Valavanis VD, Palialexis A, Tsagarakis K, Machias A, Somarakis S, Papaconstantinou C. 2008. Modelling the presence of anchovy Engraulis encrasicolus in the Aegean Sea during early summer, based on satellite environmental data. Hydrobiologia. 612:225–240.
- Grati F, Scarcella G, Polidori P, Domenichetti F, Bolognini L, Gramolini R, Vasapollo C, Giovanardi O, Raicevich S, Celić I, et al. 2013. Multi-annual investigation of the spatial distributions of juvenile and adult sole (Solea solea, L.) in the Adriatic Sea (northern Mediterranean). J Sea Res. 84:122–132.
- Grüss A, Chagaris DD, Babcock EA, Tarnecki JH. 2018. Assisting ecosystem-based fisheries management efforts using a comprehensive survey database, a large environmental database, and generalized additive models. Mar Coast Fish. 10(1):40–70.
- Grüss A, Drexler M, Ainsworth CH. 2014. Using delta generalized additive models to produce distribution maps for spatially explicit ecosystem models. Fish Res. 159:11–24.
- Lauria V, Garofalo G, Fiorentino F, Massi D, Milisenda G, Piraino S, Russo T, Gristina M. 2017. Species distribution models of two critically endangered deep-sea octocorals reveal fishing impacts on vulnerable marine ecosystems in central Mediterranean Sea. Sci Rep. 7(1):1–14.
- Maunder MN, Punt AE. 2004. Standardizing catch and effort data: a review of recent approaches. Fish Res. 70(2–3):141–159.
- MEDITS-Handbook. 2017. Version n. 9, MEDITS Working Group: 106 pp.
- Melaku Canu D, Solidoro C, Cossarini G, Giorgi F. 2010. Effect of global change on bivalve rearing activity and the need for adaptive management. Clim Res. 42:13–26. doi:https://doi.org/10.3354/cr00859.
- Moullec F, Veleza L, Verley P, Barrier N, Ulses C, Carbonara P, Esteban A, Follesa C, Gristina M, Jadaud A, et al. 2019. Capturing the big picture of Mediterranean marine biodiversity with an end to end model of climate and fishing impacts. Prog Oceanogr. 178:102179.
- Orio A, Florin A-B, Bergström U, Šics I, Baranova T, Casini M. 2017. Modelling indices of abundance and size-based indicators of cod and flounder stocks in the Baltic Sea using newly standardized trawl survey data. ICES J Mar Sci. 74(5):1322–1333. doi:https://doi.org/10.1093/icesjms/fsx005.
- Potts SE, Rose KA. 2018. Evaluation of GLM and GAM for estimating population indices from fishery independent surveys. Fish Res. 208:167–178.
- Rubec PJ, Kiltie R, Leone E, Flamm RO, McEachron L, Santi C. 2016. Using delta-generalized additive models to predict spatial distributions and population abundance of juvenile pink shrimp in Tampa Bay, Florida. Mar Coast Fish. 8(1):232–243.
- Rufino MM, Bez N, Brind’Amour A. 2018. Integrating spatial indicators in the surveillance of exploited marine ecosystems. PLoS One. 13(11):e0207538.
- Russo T, D’Andrea L, Parisi A, Cataudella S. 2014. VMSbase: an R-package for VMS and logbook data management and analysis in fisheries ecology. PLoS One. 9:e100195. DOI:https://doi.org/10.1371/journal.pone.0100195.
- Russo T, Morello EB, Parisi A, Scarcella G, Angelini S, Labanchi L, et al. 2018. A model combining landings and VMS data to estimate landings by fishing ground and harbor. Fish Res. 199:218–230. doi:https://doi.org/10.1016/j.fishres.2017.11.002.
- Sartor P, Mannini A, Carlucci R, Massaro E, Queirolo S, Sabatini A, Scarcella G, Simoni R, editors. 2017. Sintesi delle conoscenze di biologia, ecologia e pesca delle specie ittiche dei mari italiani [Synthesis of the knowledge on biology, ecology and fishery of the halieutic resources of the Italian seas]. Biol Mar Mediterr. 24(Suppl. 1):608.
- Scarcella G, Fabi G, Grati F, Polidori P, Domenichetti F, Bolognini L, Celic I. 2011. SoleMon survey for the study of flatfish stocks in the central and northern Adriatic Sea. International Flatfish Symposium 2011, IJmuiden.
- Schismenou E, Tsoukali S, Giannoulaki M, Somarakis S. 2017. Modelling small pelagic fish potential spawning habitats: eggs vs spawners and in situ vs satellite data. Hydrobiologia. 788(1):17–32.
- Sheather S. 2009. A modern approach to regression with R. New York (NY): Springer.
- Simoncelli S, Fratianni C, Pinardi N, Grandi A, Drudi M, Oddo P, Dobricic S. 2019. Mediterranean Sea physical reanalysis (CMEMS MED-Physics) [Data set]. Copernicus Monitoring Environment Marine Service (CMEMS). https://doi.org/10.25423/MEDSEA_REANALYSIS_PHYS_006_004.
- Sion L, Zupa W, Calculli C, Garofalo G, Hidalgo M, Jadaud A, Lefkaditou E, Ligas A, Peristeraki P, Bitetto I, et al. 2019. Spatial distribution pattern of European hake, Merluccius merluccius (Pisces: Merlucciidae), in the Mediterranean Sea. Sci Mar. 83(S1):21–32.
- Spedicato MT, Massutí E, Mérigot B, Tserpes G, Jadaud A, Relini G. 2019. The MEDITS trawl survey specifications in an ecosystem approach to fishery management. Sci Mar. 83(S1):9–20. DOI:https://doi.org/10.3989/scimar.04915.11X.
- Spedicato MT, Zupa W, Carbonara P, Fiorentino F, Follesa MC, Galgani F, García-Ruiz C, Jadaud A, Ioakeimidis C, Lazarakis G, et al. 2019. Spatial distribution of marine macro-litter on the seafloor in the northern Mediterranean Sea: the MEDITS initiative. Sci Mar. 83(S1):257–270. DOI:https://doi.org/10.3989/scimar.04987.14A.
- STECF (Scientific, Technical and Economic Committee for Fisheries). 2019. Stock assessments part 2: European fisheries for demersal species in the Adriatic Sea (STECF-19-16). Publications Office of the European Union. ISBN 978-92-76-14558-5, JRC119057. DOI:https://doi.org/10.2760/95875.
- Travers-Trolet M, Bourdaud P, Genu M, Velez L, Vermard Y. 2020. The risky decrease of fishing reference points under climate change. Front Mar Sci. 7:850. DOI:https://doi.org/0.3389/fmars.2020.568232.
- Teruzzi A, Bolzon G, Cossarini G, Lazzari P, Salon S, Crise A, Solidoro C. 2019. Mediterranean Sea biogeochemical reanalysis (CMEMS MED-biogeochemistry) [Data set]. Copernicus Monitoring Environment Marine Service (CMEMS). https://doi.org/10.25423/MEDSEA_REANALYSIS_BIO_006_008.
- Tserpes G, Massuti E, Fiorentino F, Facchini MT, Viva C, Jadaud A, Joksimovic A, Pesci P, Piccinetti C, Sion L, et al. 2019. Distribution and spatio-temporal biomass trends of red mullets across the Mediterranean. Sci Mar. 83(S1):43–55. DOI:https://doi.org/10.3989/scimar.04888.21A.
- Tukey J. 1949. Comparing individual means in the analysis of variance. Biometrics. 5(2):99–114. doi:https://doi.org/10.2307/3001913.
- Woillez M, Rivoirard J, Petitgas P. 2009. Notes on survey-based spatial indicators for monitoring fish populations. Aquat Living Resour. 22:155–164.
Section 3.7. A benthic hypoxia index (BH-index) for assessing the Good Environmental Status of the Black Sea’s north-western shelf waters
- Breitburg D, Levin LA, Oschlies A, Grégoire M, Chavez FP, Conley DJ, Garçon V, Gilbert D, Gutiérrez D, Isensee K, et al. 2018. Declining oxygen in the global ocean and coastal waters. Science. 359(6371). DOI:https://doi.org/10.1126/science.aam7240.
- Capet A, Beckers J-M, Grégoire M. 2013. Drivers, mechanisms and long-term variability of seasonal hypoxia on the Black Sea northwestern shelf – is there any recovery after eutrophication. Biogeosciences. 10(6):3943–3962.
- Capet A, Cook P, Garcia-Robledo E, Hoogakker B, Paulmier A, Rabouille C, Vaquer-Sunyer R. 2020. Editorial: facing marine deoxygenation. Front Mar Sci. 7:46.
- Capet A, Meysman FJR, Akoumianaki I, Soetaert K, Grégoire M. 2016. Integrating sediment biogeochemistry into 3D oceanic models: A study of benthic-pelagic coupling in the Black Sea. Ocean Modelling. 101:83–100.
- Conley DJ, Paerl HW, Howarth RW, Boesch DF, Seitzinger SP, Havens KE, Lancelot C, Likens GE. 2009. Ecology. Controlling eutrophication: nitrogen and phosphorus. Science. 323(5917):1014–1015.
- Fennel K, Testa JM. 2019. Biogeochemical controls on coastal hypoxia. Ann Rev Mar Sci. 11:105–130.
- Friedrich J, Balan S, van Beusekom JE, Naderipour C, Secrieru D. 2017. Seasonal seafloor oxygen dynamics on the Romanian Black Sea Shelf. Geophysical Research Abstracts, 2845.
- Friedrich J, Janssen F, Aleynik D, Bange HW, Boltacheva N, Çagatay MN, Dale AW, Etiope G, Erdem Z, Geraga M, et al. 2014. Investigating hypoxia in aquatic environments: diverse approaches to addressing a complex phenomenon. Biogeosciences. 11(4):1215–1259.
- Friedrich J, van Beusekom JEE, Naderipour C, Balan S, Radulescu V, Secrieru D. 2019. River-born and climate drivers of hypoxia on the NW Black Sea Shelf. Geophysical Research Abstracts, 21. https://meetingorganizer.copernicus.org/EGU2019/EGU2019-16147.pdf.
- Grégoire M, Friedrich J. 2004. Nitrogen budget of the northwestern Black Sea shelf inferred from modeling studies and in situ benthic measurements. Mar Ecol Prog Ser. 270:15–39.
- Grégoire M, Raick C, Soetaert K. 2008. Numerical modeling of the central Black Sea ecosystem functioning during the eutrophication phase. Prog Oceanogr. 76(3):286–333.
- Hrycik AR, Almeida LZ, Höök TO. 2017. Sub-lethal effects on fish provide insight into a biologically-relevant threshold of hypoxia. Oikos. 126(3):307–317.
- Jessen GL, Lichtschlag A, Ramette A, Pantoja S, Rossel PE, Schubert CJ, Struck U, Boetius A. 2017. Hypoxia causes preservation of labile organic matter and changes seafloor microbial community composition (Black Sea). Sci Adv. 3(2):e1601897.
- Kemp WM, Testa JM, Conley DJ, Gilbert D, Hagy JD. 2009. Temporal responses of coastal hypoxia to nutrient loading and physical controls. Biogeosciences. 6(12):2985–3008.
- Langmead O, McQuatters-Gollop A, Mee LD, Friedrich J, Gilbert AJ, Gomoiu M-T, Jackson EL, Knudsen S, Minicheva G, Todorova V. 2009. Recovery or decline of the northwestern Black Sea: a societal choice revealed by socio-ecological modelling. Ecol Modell. 220(21):2927–2939.
- Lichtschlag A, Donis D, Janssen F, Jessen GL, Holtappels M, Wenzhöfer F, Mazlumyan S, Sergeeva N, Waldmann C, Boetius A. 2015. Effects of fluctuating hypoxia on benthic oxygen consumption in the Black Sea (Crimean Shelf). Biogeosciences. 12:5075–5092.
- Low NHN, Micheli F. 2018. Lethal and functional thresholds of hypoxia in two key benthic grazers. Mar Ecol Prog Ser. 594:165–173.
- Ludwig W, Dumont E, Meybeck M, Heussner S. 2009. River discharges of water and nutrients to the Mediterranean and Black Sea: major drivers for ecosystem changes during past and future decades? Prog Oceanogr. 80(3):199–217.
- Mee L. 2006. Reviving dead zones. Sci Am. 295(5):78–85.
- Mikhailov V, Denga Y, Derezyuk N, Kostylyov E, Lisovsky R, Orlova I, Pavlenko M, Popov Y. 2002. State of the Black Sea environment, national report of Ukraine, 1996–2000. Ukrainian Scientific Centre of the Ecology of the Sea, Ministry of Ecology and Natural Resources of Ukraine.
- Steckbauer A, Duarte CM, Carstensen J, Vaquer-Sunyer R, Conley DJ. 2011. Ecosystem impacts of hypoxia: thresholds of hypoxia and pathways to recovery. Environ Res Lett. 6(2):025003.
- Stevens T, Mee L, Friedrich J, Aleynik D, Minicheva G. 2019. Partial recovery of macro-epibenthic assemblages on the north-west shelf of the Black Sea. Front Mar Sci. 6:474.
- Stow CA, Jolliff J, McGillicuddy DJ, Jr, Doney SC, Allen JI, Friedrichs MAM, Rose KA, Wallhead P. 2009. Skill assessment for coupled biological/physical models of marine systems. J Mar Syst J Eur Assoc Mar Sci Tech. 76(1–2):4–15.
- Vandenbulcke L, Capet A, Beckers JM, Grégoire M, Besiktepe S. 2010. Onboard implementation of the GHER model for the Black Sea, with SST and CTD data assimilation. J Oper Oceanogr. 3(2):47–54.
- Vaquer-Sunyer R, Duarte CM. 2008. Thresholds of hypoxia for marine biodiversity. Proc Natl Acad Sci USA. 105(40):15452–15457.
- Vaquer-Sunyer R, Duarte CM. 2011. Temperature effects on oxygen thresholds for hypoxia in marine benthic organisms. Glb Chg Bio. 17(5):1788–1797.
- Yunev OA, Carstensen J, Moncheva S, Khaliulin A, Ærtebjerg G, Nixon S. 2007. Nutrient and phytoplankton trends on the western Black Sea shelf in response to cultural eutrophication and climate changes. Estuar Coast Shelf Sci. 74(1):63–76.
- Zaitsev Y, Mamaev V. 1997. Biological diversity in the Black Sea: a study of change and decline. In: Y Zaitsev, V Mamaev, editors Black Sea environmental series, Vol. 3. New York (NY): UN Publications; 208pp. https://digitallibrary.un.org/record/245415?ln=en.
References
Section 4.1. Sea-ice and ocean conditions surprisingly normal in the Svalbard-Barents Sea region after large sea-ice inflows in 2019
- Aagaard K. 1989. A synthesis of the Arctic Ocean circulation. Rapports et proceès verbaux des réunions – Conseil international pour l'exploration de la mer. 188(1):11–22.
- Aagaard K, Coachman LK, Carmack E. 1981. On the halocline of the Arctic Ocean. Deep Sea Res A Oceanogr Res Pap. 28(6):529–545. DOI:https://doi.org/10.1016/0198-0149(81)90115-1.
- Aagaard K, Woodgate RA. 2001. Some thoughts on the freezing and melting of sea ice and their effects on the ocean. Ocean Model. 3(1–2):127–135. DOI:https://doi.org/10.1016/S1463-5003(01)00005-1.
- Årthun M, Eldevik T, Smedsrud LH, Skagseth Ø, Ingvaldsen RB. 2012. Quantifying the influence of Atlantic heat on Barents Sea ice variability and retreat. J Clim. 25(13):4736–4743. DOI:https://doi.org/10.1002/2016GL068421.
- Carmack E, Polyakov I, Padman L, Fer I, Hunke E, Hutchings J, Jackson J, Kelly D, Kwok R, Layton C, et al. 2015. Toward quantifying the increasing role of oceanic heat in sea ice loss in the new Arctic. Bull Am Meteorol Soc. 96(12):2079–2105. DOI:https://doi.org/10.1175/BAMS-D-13-00177.1.
- CMEMS ARCTIC_OMI_SI_extent_obs. 2020. Arctic monthly mean sea ice extent from satellite observations. https://marine.copernicus.eu/science-learning/ocean-monitoring-indicators/catalogue/.
- Comiso JC. 2012. Large decadal decline of the Arctic multiyear ice cover. J Clim. 25:1176–1193. DOI:https://doi.org/10.1175/JCLI-D-11-00113.1.
- cryo.met.no. 2020. ‘Arctic sea ice extent monthly time series’ figure (daily updated). https://cryo.met.no/en/sea-ice-climate-indicator.
- Ellingsen I, Slagstad D, Sundfjord A. 2009. Modification of water masses in the Barents Sea and its coupling to ice dynamics: a model study. Ocean Dyn. 59(6):1095–1108. DOI:https://doi.org/10.1007/s10236-009-0230-5.
- Fahrbach E, Meincke J, Østerhus S, Rohardt G, Schauer U, Tverberg V, Verduin J. 2001. Direct measurements of volume transports through Fram Strait. Polar Res. 20:217–224. DOI:https://doi.org/10.1111/j.1751-8369.2001.tb00059.x.
- Hattermann T, Isachsen PE, von Appen WJ, Albretsen J, Sundfjord A. 2016. Eddy-driven recirculation of Atlantic water in Fram Strait. Geophys Res Lett. 43(7):3406–3414.
- Kimura N, Tateyama K, Sato K, Krishfield RA, Yamaguchi H. 2020. Unusual drift behaviour of multi-year sea ice in the Beaufort Sea during summer 2018. Polar Res. 39. DOI:https://doi.org/10.33265/polar.v39.3617.
- Kwok R. 2018. Arctic sea ice thickness, volume, and multiyear ice coverage: losses and coupled variability (1958–2018). Environ Res Lett 13:105005. DOI:https://doi.org/10.1088/1748-9326/aae3ec.
- Lavergne T, Eastwood S, Teffah Z, Schyberg H, Breivik L-A. 2010. Sea ice motion from low-resolution satellite sensors: an alternative method and its validation in the Arctic. J Geophys Res. 115:C10032. DOI:https://doi.org/10.1029/2009JC005958.
- Lavergne T, Sørensen AM, Kern S, Tonboe R, Notz D, Aaboe S, Bell L, Dybkjær G, Eastwood S, Gabarro C, et al. 2019. Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records. Cryosphere. 13:49–78. DOI:https://doi.org/10.5194/tc-13-49-2019.
- Laxon SW, Giles KA, Ridout AL, Wingham DJ, Willatt R, Cullen R, Kwok R, Schweiger A, Zhang J, Haas C, et al. 2013. Cryosat-2 estimates of Arctic sea ice thickness and volume. Geophys Res Lett. 40:732–737. DOI:https://doi.org/10.1002/grl.50193.
- Lind S, Ingvaldsen RB, Furevik T. 2016. Arctic layer salinity controls heat loss from deep Atlantic layer in seasonally ice-covered areas of the Barents Sea. Geophys Res Lett. 43(10):5233–5242. DOI:https://doi.org/10.1002/2016GL068421.
- Lind S, Ingvaldsen RB, Furevik T. 2018. Arctic warming hotspot in the northern Barents Sea linked to declining sea-ice import. Nat Clim Change. 8(7):634–639. DOI:https://doi.org/10.1038/s41558-018-0205-y.
- Lundesgaard Ø, Sundfjord A, Renner AH. 2021. Drivers of interannual sea ice concentration variability in the Atlantic water inflow region north of Svalbard. J Geophys Res Oceans. 126(4):e2020JC016522. DOI:https://doi.org/10.1029/2020JC016522.
- Marnela M, Rudels B, Houssais MN, Beszczynska-Möller A, Eriksson PB. 2013. Recirculation in the Fram Strait and transports of water in and north of the Fram Strait derived from CTD data. Ocean Sci. 9(3):499–519.
- Meredith M, Sommerkorn M, Cassotta S, Derksen C, Ekaykin A, Hollowed A, Kofinas G, Mackintosh A, Melbourne-Thomas J, Muelbert MMC, et al. 2019. Polar regions. In: Pörtner H-O, Roberts DC, Masson-Delmotte V, Zhai P, Tignor M, Poloczanska E, Mintenbeck K, Alegría A, Nicolai M, Okem A, Petzold J, Rama B, Weyer NM, editors, IPCC special report on the ocean and cryosphere in a changing climate. In press.
- Mosby H. 1938. Svalbard waters. Geofys Publ. 12:1–86.
- Nansen F. 1902. Oceanography of the North Polar basin: The Norwegian North Polar expedition 1893–1896. Sci Results. 3(9):427.
- Onarheim IH, Eldevik T, Smedsrud LH, Stroeve JC. 2018. Seasonal and regional manifestation of Arctic Sea ice loss. J Clim. 31:4917–4932. DOI:https://doi.org/10.1175/JCLI-D-17-0427.1.
- Renner AHH, Sundfjord A, Janout MA, Ingvaldsen RB, Beszczynska-Möller A, Pickart RS, Pérez-Hernández MD. 2018. Variability and redistribution of heat in the Atlantic water boundary current north of Svalbard. J Geophys Res Oceans. 123(9):6373–6391. DOI:https://doi.org/10.1029/2018JC013814.
- Rudels B, Jones EP, Schauer U, Eriksson P. 2004. Atlantic sources of the Arctic Ocean surface and halocline waters. Polar Res. 23(2):181–208.
- Screen JA, Simmonds I. 2010. Increasing fall-winter energy loss from the Arctic Ocean and its role in Arctic temperature amplification. Geophys Res Lett. 37(16). DOI:https://doi.org/10.1029/2010GL044136.
- Smedsrud LH, Esau I, Ingvaldsen RB, Eldevik T, Haugan PM, Li C, Lien VS, Olsen A, Omar AM, Otterå OH, Risebrobakken B. 2013. The role of the Barents Sea in the Arctic climate system. Rev Geophys. 51(3):415–449. DOI:https://doi.org/10.1002/rog.20017.
- Wickström S, Jonassen MO, Vihma T, Uotila P. 2020. Trends in cyclones in the high-latitude North Atlantic during 1979–2016. Q J R Metereol Soc. 146(727):762–779.
- Zamani B, Krumpen T, Smedsrud LH, Gerdes R. 2019. Fram Strait sea ice export affected by thinning: comparing high-resolution simulations and observations. Clim Dyn. 53(5–6):3257–3270.
Section 4.2. Monitoring storms by merged data sources for the Malta shelf area in 2019
- Bartzokas A, Azzopardi J, Bertotti L, Buzzi A, Cavaleri L, Conte D, Davolio S, Dietrich S, Drago A, Drofa O, et al. 2010. The RISKMED project: philosophy, methods and results. Nat Hazards Earth Syst Sci. 10:1391–1401.
- Capodici F, Cosoli S, Ciraolo G, Naselli C, Maltese A, Poulaine P-M, Drago A, Azzopardi J, Gauci A. 2019. Validation of HF radar sea surface currents in the Malta-Sicily channel. Remote Sens Environ. 225:65–76.
- Chapman RD, Shay LK, Graber HC, Edson JB, Karachintsev A, Trump CL, Ross DB. 1997. On the accuracy of HF radar surface current measurements: intercomparisons with ship-based sensors. J Geophys Res Oceans. 102:18737–18748. DOI:https://doi.org/10.1029/97JC00049.
- Cosoli S, Ličer M, Vodopivec M, Malačič V. 2013. Surface circulation in the Gulf of Trieste (northern Adriatic Sea) from radar, model, and ADCP comparisons. J Geophys Res Oceans. 118:6183–6200. DOI:https://doi.org/10.1002/2013JC009261.
- Drago A, Azzopardi J, Gauci A, Tarasova R, Ciraolo G, Capodici F, Cosoli S, Gacic M. 2013. Sea surface currents by HF radar in the Malta channel. Rapp Comm Int Mer Medit. 40:144.
- Drago A, Ciraolo G, Capodici F, Cosoli S, Gacic M, Poulain P-M, Tarasova R, Azzopardi J, Gauci A, Maltese A, et al. 2015. CALYPSO – an operational network of HF radars for the Malta-Sicily Channel. In: Dahlin H, Fleming NC, Petersson SE, editors, Proceedings of the Seventh International Conference on EuroGOOS; Oct 28–30, 2014, Lisbon. First published 2015. Eurogoos Publication No. 30. p. 167–176. ISBN 978-91-974828-9-9.
- Emery BM, Washburn L, Harlan JA. 2004. Evaluating radial current measurements from CODAR high-frequency radars with moored current meters. J Atmos Ocean Technol. 21:1259–1271. DOI:https://doi.org/10.1175/1520-0426(2004)021<1259:ERCMFC>2.0.CO;2.
- Fernandes M, Fernandes C, Barroqueiro T, Agostinho P, Martins N, Alonso-Martirena A. 2018. Extreme wave height events in Algarve (Portugal): comparison between HF radar systems and wave buoys. 5as Jornadas de Engenharia Hidrográfica, Lisboa. p. 222–225.
- Lopez G, Conley DC. 2019. Comparison of HF radar fields of directional wave spectra against in situ measurements at multiple locations. J Mar Sci Eng. 7(8):271–271.
- Lorente P, Sotillo MG, Aouf L, Amo-Baladrón A, Barrera E, Dalphinet A, et al. 2018. Extreme wave height events in NW Spain: a combined multi-sensor and model approach. Remote Sens. 10:1. DOI:https://doi.org/10.3390/rs10010001.
- Orasi A, Picone M, Drago A, Capodici F, Gauci A, Nardone G, Inghilesi R, Azzopardi J, Galea A, Ciraolo G. 2018. HF radar for wind waves measurements in the Malta-Sicily channel. Measurement. 128:446–454. DOI:https://doi.org/10.1016/j.measurement.2018.06.060. ISSN 0263-2241. http://www.sciencedirect.com/science/article/pii/S0263224118305864.
- Pascual A, Lana A, Troupin C, Ruiz S, Faugère Y, Escudier R, Tintoré J. 2015. Assessing SARAL/AltiKa delayed-time data in the coastal zone: comparisons with HF radar observations. Mar Geod. 8(sup1):260–276. DOI:https://doi.org/10.1080/01490419.2015.1019656.
- Reyes S, Cook NC, Gačić MS, Paduan M, Drago A, Cardin V. 2019. Sea surface circulation structures in the Malta-Sicily channel from remote sensing data. Water. 11:1589.
- Roarty H, Cook T, Hazard L, George D, Harlan J, Cosoli S, Wyatt L, Alvarez Fanjul E, Terrill E, Otero M, Largier J. 2019. The global high frequency radar network. Front Mar Sci. DOI:https://doi.org/10.3389/fmars.2019.00164. ISSN 2296-7745.
- Tintoré J, Pinardi N, Álvarez-Fanjul E, Aguiar E, Álvarez-Berastegui D, Bajo M, Balbin R, Bozzano R, Nardelli BB, Cardin V, Casas B. 2019. Challenges for sustained observing and forecasting systems in the Mediterranean Sea. Front Mar Sci. DOI:https://doi.org/10.3389/fmars.2019.00568.
- Villa L, Nieddu C, Marsiaj P, Corsini S, Orasi A, Mariani S, Trovatore E, Pedemonte L, Gallino S, Sacchetti D, et al. 2008. Chapter 4: numerical modelling for weathrrouting. In: Delitala A, Speranza A, editors, WERMED Weatherrouting dans la Méditerranée – results of the project. p. 53–68.
Section 4.3. The November 2019 record high water levels in Venice, Italy
- Arns A, Wahl T, Wolff C, Vafeidis AT, Haigh ID, Woodworth P, Niehüser S, Jensen J. 2020. Non-linear interaction modulates global extreme sea levels, coastal flood exposure, and impacts. Nat Commun. 11:1918. DOI:https://doi.org/10.1038/s41467-020-15752-5.
- Bajo M, Međugorac I, Umgiesser G, Orlić M. 2019. Storm surge and seiche modelling in the Adriatic Sea and the impact of data assimilation. Q J R Meteorol Soc. 145:2070–2084. DOI:https://doi.org/10.1002/qj.3544.
- Bromwich DH. 1989. An extraordinary katabatic wind regime at Terra-Nova Bay, Antarctica. Mon Wea Rev. 117:688–695.
- Cavaleri L. 2000. The oceanographic tower Acqua Alta – activity and prediction of sea states at Venice. Coastal Eng. 39:29–70. DOI:https://doi.org/10.1016/S0378-3839(99)00053-8.
- Clementi E, Oddo P, Drudi M, Pinardi N, Korres G, Grandi A. 2017. Coupling hydrodynamic and wave models: first step and sensitivity experiments in the Mediterranean Sea. Ocean Dyn. DOI:https://doi.org/10.1007/s10236-017-1087-7.
- Clementi E, Pistoia J, Delrosso D, Mattia G, Fratianni C, Storto A, Ciliberti S, Lemieux B, Fenu E, Simoncelli S, et al. 2017. A 1/24 degree resolution Mediterranean analysis and forecast modeling system for the Copernicus Marine Environment Monitoring Service. Extended abstract to the 8th EuroGOOS Conference, Bergen.
- de Kloe J, Stoffelen A, Verhoef A. 2017. Improved use of scatterometer measurements by using stress-equivalent reference winds. J Sel Top Appl Earth Obs Remote Sens. 10(5):2340–2347. DOI:https://doi.org/10.1109/JSTARS.2017.2685242.
- De Zolt S, Lionello P, Nuhu A, Tomasin A. 2006. The disastrous storm of 4 November 1966 on Italy. Nat Hazards Earth Syst Sci. 6:861–879. DOI:https://doi.org/10.5194/nhess-6-861-2006.
- Dobricic S, Pinardi N. 2008. An oceanographic three-dimensional variational data assimilation scheme. Ocean Model. 22(3–4):89–105.
- Egbert G, Erofeeva S. 2002. Efficient inverse modeling of barotropic ocean tides. J Atmos Ocean Tech. 19:183–204.
- The ISMAR Team, Cavaleri L, Bajo M, Barbariol F, Bastianini M, Benetazzo A, Bertotti L, Chiggiato J, Ferrarin C, Trincardi F, Umgiesser G. 2020. The 2019 flooding of Venice and its implications for future predictions. Oceanography. 33(1):42–49. DOI:https://doi.org/10.5670/oceanog.2020.105.
- Marcos M, Tsimplis MN, Shaw AGP. 2009. Sea level extremes in Southern Europe. J Geophys Res. 114:C01007. DOI:https://doi.org/10.1029/2008JC004912.
- Moore GW, Renfrew IA. 2005. Tip jets and barrier winds: a QuikSCAT climatology of high wind speed events around Greenland. J Clim. 18:3713–3725. DOI:https://doi.org/10.1175/JCLI3455.1.
- Orlić M, Kuzmić M, Pasarić Z. 1994. Response of the Adriatic Sea to the bora and sirocco forcing. Cont Shelf Res. 14:91–116. DOI:https://doi.org/10.1016/0278-4343(94)90007-8.
- Pasarić Z, Belušić D, Klaić ZB. 2007. Orographic influences on the Adriatic sirocco wind. Ann Geophys. 25:1263–1267. DOI:https://doi.org/10.5194/angeo-25-1263-2007.
- Pinardi N, Allen I, Demirov E, De Mey P, Korres G, Lascaratos A, Le Traon P-Y, Maillard C, Manzella G, Tziavos C. 2003. The Mediterranean ocean forecasting system: first phase of implementation (1998–2001). Ann Geophys. 21:3–20. DOI:https://doi.org/10.5194/angeo-21-3-2003.
- Pinardi N, Coppini G. 2010. Operational oceanography in the Mediterranean Sea: the second stage of development. Ocean Sci. 6:263–267.
- Pirazzoli PA, Tomasin A. 2002. Recent evolution of surge-related events in the northern Adriatic area. J Coastal Res. 18:537–554.
- Stoffelen A, Verspeek J, Vogelzang J, Verhoef A. 2017. The CMOD7 geophysical model function for ASCAT and ERS wind retrievals. J Sel Top Applied Earth Obs Remote Sens. 10(5):2123–2134. DOI:https://doi.org/10.1109/JSTARS.2017.2681806.
- Storto A, Masina S, Navarra A. 2015. Evaluation of the CMCC Eddy-permitting global ocean physical reanalysis system (C-GLORS, 1982–2012) and its assimilation components. QJR Meteorol Soc. 142(695):738–758.
- Tonani M, Teruzzi A, Korres G, Pinardi N, Crise A, Adani M, Oddo P, Dobricic S, Fratianni C, Drudi M, et al. 2014. The Mediterranean Monitoring and Forecasting Centre, a component of the MyOcean system. In: Dahlin H, Fleming NC and Petersson SE, editors, Proceedings of the Sixth International Conference on EuroGOOS Oct 4–6, 2011, Sopot. First published 2014. Eurogoos Publication no. 30. ISBN 978-91-974828-9-9.F.
Section 4.4. Extreme waves and low sea level during the storm in the Gulf of Bothnia, Baltic Sea
- Berg P, Poulsen JW. 2012. Implementation details for HBM. DMI Technical Report No. 12-11. http://beta.dmi.dk/fileadmin/Rapporter/TR/tr12-11.pdf.
- Björkqvist JV, Lukas I, Alari V, van Vledder GP, Hulst S, Pettersson H, Behrens A, Männik A. 2018. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Eng. 152:57–71. DOI:https://doi.org/10.1016/j.oceaneng.2018.01.048.
- Björkqvist JV, Rikka S, Alari V, Männik A, Tuomi L, Pettersson H. 2020. Wave height return periods from combined measurement-model data: a Baltic Sea case study. Nat Hazards Earth Syst Sci. 20(12):3593–3609.
- Björkqvist J-V, Tuomi L, Tollman N, Kangas A, Pettersson H, Marjamaa R, Jokinen H, Fortelius C. 2017. Brief communication: characteristic properties of extreme wave events observed in the northern Baltic Proper, Baltic Sea. Nat Hazards Earth Syst Sci. 17:1653–1658. DOI:https://doi.org/10.5194/nhess-17-1653-2017.
- Carstensen J, Conley DJ. 2019. Baltic Sea hypoxia takes many shapes and sizes. Limnol Oceanogr Bull. 28:125–129. DOI:https://doi.org/10.1002/lob.10350.
- Cavaleri L, Bajo M, Barbariol F, Bastianini M, Benetazzo A, Bertotti L, Chiggiato J, Davolio S, Ferrarin C, Magnusson L, et al. 2019. The October 29, 2018 storm in Northern Italy – an exceptional event and its modeling. Prog Oceanogr. 178:102178. DOI:https://doi.org/10.1016/j.pocean.2019.102178.
- CC3S ERA5. 2017. Copernicus Climate Change Service (C3S), 2017. ERA5: fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service Climate Data Store (CDS) [accessed 2020 May 20]. https://cds.climate.copernicus.eu/cdsapp#!/home.
- Ekman M, Mäkinen J. 1996. Mean sea surface topography in the Baltic Sea and its transition area to the North Sea: a geodetic solution and comparisons with oceanographic models. J Geophys Res Oceans. 101(C5):11993–11999. DOI:https://doi.org/10.1029/96jc00318.
- Granskog M, Kaartokallio H, Kuosa H, Thomas DN, Vainio J. 2006. Sea ice in the Baltic Sea – a review. Estuarine Coastal Shelf Sci. 70:145–160. DOI:https://doi.org/10.1016/j.ecss.2006.06.001.
- Honkola ML, Kukkurainen N, Saukkonen L, Petäjä A, Karasjärvi J, Riihisaari T, Tervo R, Visa M, Hyrkkänen J, Ruuhela R. 2013. The finnish meteorological institute: final report for the open data project. Finnish Meteorological Institute, Helsinki, Finland.
- Hünicke B, Zorita E. 2008. Trends in the amplitude of Baltic Sea level annual cycle. Tellus. 60A:154–164. DOI:https://doi.org/10.1111/j.1600-0870.2007.00277.x.
- IPCC. 2018. Global warming of 1.5°C. An IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty, Masson-Delmotte V, Zhai P, Pörtner H-O, Roberts D, Skea J, Shukla PR, Pirani A, Moufouma-Okia W, Péan C, Pidcock R, Connors S, Matthews JBR, Chen Y, Zhou X, Gomis MI, Lonnoy E, Maycock T, Tignor M, Waterfield T, editors. In Press.
- Jakobsson M, Stranne C, O'Regan M, Greenwood SL, Gustafsson B, Humborg C, Weidner E. 2019. Bathymetric properties of the Baltic Sea. Ocean Sci. 15:905–924. DOI:https://doi.org/10.5194/os-15-905-2019.
- Komen GJ, Cavaleri L, Donelan M, Hasselmann K, Hasselmann S, Janssen PAEM. 1994. Dynamics and modelling of ocean waves. Cambridge: Cambridge University Press; p. 554.
- Kudryavtseva N, Räämet A, Soomere T. 2020. Coastal flooding: joint probability of extreme water levels and waves along the Baltic Sea coast. In: Malvárez G, Navas, F, editors, Proceedings from the International Coastal Symposium (ICS) 2020 (Seville, Spain). Journal of Coastal Research, Special Issue No. 95. p. 1–5. Coconut Creek (FL), ISSN 0749-0208.
- Lehmann A, Post P. 2015. Variability of atmospheric circulation patterns associated with large volume changes of the Baltic Sea. Adv Sci Res. 12:219–225. DOI:https://doi.org/10.5194/asr-12-219-2015.
- Madsen KS, Høyer JL, Suursaar Ü, She J, Knudsen P. 2019. Sea level trends and variability of the Baltic Sea from 2D statistical reconstruction and altimetry. Front Earth Sci. 7:243. DOI:https://doi.org/10.3389/feart.2019.00243.
- Mailier PJ, Stephenson DB, Ferro CAT, Hodges KI. 2006. Serial clustering of extratropical cyclones. Mon Weather Rev. 134:2224–2240. DOI:https://doi.org/10.1175/MWR3160.1.
- Maljutenko I, Hassellöv I-M, Eriksson KM, Ytreberg E, Yngsell D, Johansson L, Jalkanen J-P, Kõuts M, Kasemets M, Moldanova J, et al. 2021. Modelling spatial dispersion of contaminants from shipping lanes in the Baltic Sea. Environ Pollut. [under review].
- Meier HEM, Döscher R, Halkka A. 2004. Simulated distributions of Baltic sea-ice in warming climate and consequences for the winter habitat of the Baltic ringed seal. Ambio. 33:249–256. DOI:https://doi.org/10.1579/0044-7447-33.4.249.
- Olofsson M, Klawonn I, Karlson B. 2020. Nitrogen fixation estimates for the Baltic Sea indicate high rates for the previously overlooked Bothnian Sea. Ambio. DOI:https://doi.org/10.1007/s13280-020-01331-x.
- Post P, Kõuts T. 2014. Characteristics of cyclones causing extreme sea levels in the northern Baltic Sea. Oceanlogia. 56:241–258. DOI:https://doi.org/10.5697/oc.56-2.241.
- Raudsepp U, Toompuu A, Kõuts T. 1999. A stochastic model for the sea level in the Estonian coastal area. J Marine Syst. 22:69–87. doi:https://doi.org/10.1016/S0924-7963(99)00031-7.
- Raudsepp U, Uiboupin R, Laanemäe K, Maljutenko I. 2020. Geographical and seasonal coverage of sea ice in the Baltic Sea. In: Copernicus Marine Service Ocean State report, issue 4. J Oper Oceanogr. 13(sup1):s111–s115. DOI:https://doi.org/10.1080/1755876X.2020.1785097.
- Sepp M, Post P, Mändla K, Aunap R. 2018. On cyclones entering the Baltic Sea region. Boreal Env Res. 23:1–14.
- She J, Viktorsson L. 2018. Extremes of low sea level in the Northern Baltic Sea. In: Copernicus Marine Service Ocean State report, issue 2. J Oper Oceanogr. 11(sup1):s131–s135. DOI:https://doi.org/10.1080/1755876X.2018.1489208.
- Tuomi L, Kanarik H, Björkqvist J-V, Marjamaa R, Vainio J, Hordoir R, Höglund A, Kahma KK. 2019. Impact of ice data quality and treatment on wave hindcast statistics in seasonally ice-covered seas. Front Earth Sci. 7:1–16. DOI:https://doi.org/10.3389/feart.2019.00166.
- Tuomi L, She J, Lorkowski I, Axell L, Lagemaa P, Schwichtenberg F, Huess V. 2017. Overview of CMEMS BAL MFC service and developments. Proceedings of the Eight EuroGOOS International Conference. p. 261–267. ISBN 978-2-640 9601883-3-2.
- Wolski T, Winiewski B, Giza A, Kowalewska-Kalkowska H, Boman H, Grabbi-Kaiv S, Hammarklint T, Holfort J, Lydeikait Ž. 2014. Extreme sea levels at selected stations on the Baltic Sea coast. Oceanologia. 56(2):259–290.
- Wolski T, Wiśniewski B. 2020. Geographical diversity in the occurrence of extreme sea levels on the coasts of the Baltic Sea. J Sea Res. 159:101890. DOI:https://doi.org/10.1016/j.seares.2020.101890.
- von Schuckmann K, Le Traon P-Y, Smith N, Pascual A, Brasseur P, Fennel K, Djavidnia S. 2018. Copernicus Marine Service Ocean State report, issue 2. J Oper Oceanogr. 11(sup1):s1–s142. DOI:https://doi.org/10.1080/1755876X.2018.1489208.
Section 4.5. Establishment of Pterois miles (Bennett, 1828) in the Ionian Sea
- Bardamaskos G, Tsiamis K, Panayotidis P, Megalofonou P. 2009. New records and range expansion of alien fish and macroalgae in Greek waters (south-east Ionian Sea). Mar Biodivers Rec. 2. DOI:https://doi.org/10.1017/s1755267209001055.
- Bariche M, Kleitou P, Kalogirou S, Bernardi G. 2017. Genetics reveal the identity and origin of the lionfish invasion in the Mediterranean Sea. Sci Rep. 7(1):6782.
- Barker BD, Horodysky AZ, Kerstetter DW. 2018. Hot or not? Comparative behavioral thermoregulation, critical temperature regimes, and thermal tolerances of the invasive lionfish Pterois sp. versus native western North Atlantic reef fishes. Biol Invasions. 20(1):45–58.
- Benkwitt CE. 2015. Non-linear effects of invasive lionfish density on native coral-reef fish communities. Biol Invasions. 17(5):1383–1395. DOI:https://doi.org/10.1007/s10530-014-0801-3.
- Buongiorno Nardelli B, Tronconi C, Pisano A, Santoleri R. 2013. High and ultra-high resolution processing of satellite Sea surface temperature data over Southern European seas in the framework of MyOcean project. Remote Sens Environ. DOI:https://doi.org/10.1016/j.rse.2012.10.012. ISSN 0034-4257.
- Capezzuto F, Carlucci R, Maiorano P, Sion L, Battista D, Giove A, Indennidate A, Tursi A, D’Onghia G. 2010. The bathyal benthopelagic fauna in the north-western Ionian Sea: structure, patterns and interactions. Chem Ecol. 26(sup1):199–217. DOI:https://doi.org/10.1080/02757541003639188.
- Chronis T, Raitsos DE, Kassis D, Sarantopoulos A. 2011. The summer North Atlantic Oscillation influence on the eastern Mediterranean. J Clim. 24(21):5584–5596.
- Corriero G, Pierri C, Accoroni S, Alabiso G, Bavestrello G, Barbone E, Bastianini M, Bazzoni AM, Bernardi Aubry F, Boero F, et al. 2016. Ecosystem vulnerability to alien and invasive species: a case study on marine habitats along the Italian coast. Aquat Conserv Mar Freshw Ecosyst. 26(2):392–409. DOI:https://doi.org/10.1002/aqc.2550.
- Diamantopoulou P, Voudouris K. 2008. Optimization of water resources management using SWOT analysis: the case of Zakynthos Island, Ionian Sea, Greece. Environ Geol. 54(1):197–211. DOI:https://doi.org/10.1007/s00254-007-0808-5.
- Diaz-Ferguson EE, Hunter ME. 2019. Life history, genetics, range expansion and new frontiers of the lionfish (Pterois volitans, Perciformes: Pteroidae) in Latin America. Reg Stud Mar Sci. 31:100793.
- Dimitriadis C, Galanidi M, Zenetos A, Corsini-Foka M, Giovos I, Karachle PK, Fournari-Konstantinidoy I, Kytinou E, Issaris Y, Azzurro E, et al. 2020. Updating the occurrences of Pterois miles in the Mediterranean Sea, with considerations on thermal boundaries and future range expansion. Mediterr Mar Sci. 21(1):62. DOI:https://doi.org/10.12681/mms.21845.
- Gardner PG, Frazer TK, Jacoby CA, Yanong RPE. 2015. Reproductive biology of invasive lionfish (Pterois spp.). Front Mar Sci. 2:7. DOI:https://doi.org/10.3389/fmars.2015.00007.
- Green SJ, Akins JL, Maljkovic A, Cô té IM, Jane Goldstien S. 2012. Invasive Lionfish drive Atlantic coral reef fish declines. PLoS ONE. 7(3):32596. DOI:https://doi.org/10.1371/journal.pone.0032596.
- Kalimeris A, Kolios S. 2019. TRMM-based rainfall variability over the central Mediterranean and its relationships with atmospheric and oceanic climatic modes. Atmos Res. 230:104649.
- Kassis D, Korres G. 2020. Hydrography of the Eastern Mediterranean basin derived from argo floats profile data. Deep Sea Res Part II. 171:104712.
- Katsanevakis S, Coll M, Piroddi C, Steenbeek J, Ben Rais Lasram F, Zenetos A, Cardoso AC. 2014. Invading the Mediterranean Sea: biodiversity patterns shaped by human activities. Front Mar Sci. 1:32.
- Kletou D, Hall-Spencer JM, Kleitou P. 2016. A lionfish (Pterois miles) invasion has begun in the Mediterranean Sea. Mar Biodivers Rec. 9(1):46. DOI:https://doi.org/10.1186/s41200-016-0065-y.
- Lesser MP, Slattery M. 2011. Phase shift to algal dominated communities at mesophotic depths associated with lionfish (Pterois volitans) invasion on a Bahamian coral reef. Biol Invasions. 13(8):1855–1868. DOI:https://doi.org/10.1007/s10530-011-0005-z.
- Mitsou E, Maximiadi M. 2018. New records of Lagocephalus sceleratus (Gmelin, 1789), Cassiopeia andromeda (Forsskål, 1775) and Pterois miles (Bennett, 1828) in Greek MSFD areas. In: new Mediterranean biodiversity records (Yokes et al.). Mediterr Mar Sci. 19(3):673–689.
- Pastor F, Valiente JA, Palau JL. 2019. Sea surface temperature in the Mediterranean: trends and spatial patterns (1982–2016). In: Meteorology and climatology of the Mediterranean and Black Seas. Cham: Birkhäuser; p. 297–309.
- Piroddi C, Giovanni B, Villy C. 2010. Effects of local fisheries and ocean productivity on the northeastern Ionian Sea ecosystem. Ecol Modell. 221(11):1526–1544. DOI:https://doi.org/10.1016/j.ecolmodel.2010.03.002.
- Politou CY, Kavadas S, Mytilineou C, Tursi A, Carlucci R, Lembo G. 2003. Fisheries resources in the deep waters of the eastern Mediterranean (Greek Ionian Sea). J Northwest Atl Fish Sci. 31:35–46. DOI:https://doi.org/10.2960/J.v31.a3.
- Poursanidis D, Kalogirou S, Azzurro E, Parravicini V, Bariche M, zu Dohna H. 2020. Habitat suitability, niche unfilling and the potential spread of Pterois miles in the Mediterranean Sea. Mar Pollut Bull. 154:111054. DOI:https://doi.org/10.1016/j.marpolbul.2020.111054.
- Savva I, Chartosia N, Antoniou C, Kleitou P, Georgiou A, Stern N, Hadjioannou L, Jimenez C, Andreou V, Hall-Spencer JM, Kletou D. 2020. They are here to stay: the biology and ecology of lionfish (Pterois miles) in the Mediterranean Sea. J Fish Biol. 97(1):148–162. DOI:https://doi.org/10.1111/jfb.14340.
- Tiago P, Pereira HM, Capinha C. 2017. Using citizen science data to estimate climatic niches and species distributions. Basic Appl Ecol. 20:75–85. DOI:https://doi.org/10.1016/j.baae.2017.04.001.
- Tzanatos E, Dimitriou E, Papaharisis L, Roussi A, Somarakis S, Koutsikopoulos C. 2006. Principal socio-economic characteristics of the Greek small-scale coastal fishermen. Ocean Coast Manag. 49(7–8):511–527. DOI:https://doi.org/10.1016/j.ocecoaman.2006.04.002.
- Vavasis C, Simotas G, Spinos E, Konstantinidis E, Minoudi S, Triantafyllidis A, Perdikaris C. 2019. Occurrence of Pterois miles in the Island of Kefalonia (Greece): the northernmost dispersal record in the Mediterranean Sea. Thalass Int J Mar Sci. 1–5.