Thermal air–sea coupling in hindcast simulations for the North Sea and Baltic Sea on the NW European shelf

References

• Adlandsvik B . Marine downscaling of a future climate scenario for the North Sea. Tellus. 2008; 60: 451–458.
   Google Scholar
• Barsugli J. J. , Battisti D. S . The basic effects of atmosphere–ocean thermal coupling on midlatitude variability. J. Atmos. Sci. 1998; 55: 477–493.
   Google Scholar
• Bengtsson L. , Hodges K. I. , Roeckner E . Storm tracks and climate change. J. Clim. 2006; 19: 3518–3543.
   Google Scholar
• Bhatt U. S. , Alexander M.-A. , Battisti D. S. , Houghton D. D. , Keller L. M . Atmosphere–ocean interaction in the North Atlantic: near-surface climate variability. J. Clim. 1998; 11(7): 1615–1632.
   Google Scholar
• Blackmon M. L . A climatological spectral study of the 500 mb geopotential height of the northern hemisphere. J. Atmos. Sci. 1976; 33: 1607–1623.
   Google Scholar
• Brown J. , Fedorov A. V. , Guilyardi E . How well do coupled models replicate the energetics of ENSO?. Clim. Dynam. 2011; 36: 2147–2158. DOI: 10.1007/s00382-010-0926-8.
   Google Scholar
• Christensen J. H. , Hewitson B. , Busuioc A. , Chen A. , Gao X. , co-authors . Solomon S. , Qin D. , Manning M. , Chen Z. , Marquis M. , co-editors . Regional climate projections. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. 2007; Cambridge: Cambridge University Press. 847–940.
   Google Scholar
• de Boyer Montegut C. , Madec G. , Fischer A. S. , Lazar A. , Daniele Iudicone D . Mixed layer depth over the global ocean: an examination of profile data and a profile-based climatology. J. Geohys. Res. 2004; 109: 1–20. DOI: 10.1029/2004JC002378.
   Google Scholar
• Dieterich C. , Schimanke S. , Wang S. , Väli G. , Liu Y. , co-authors . Evaluation of the SMHI coupled atmosphere-ice-ocean model RCA4_NEMO. SMHI-Report, RO 47. 2013. ISSN 0283-1112. Online at: http://www.smhi.se/polopoly_fs/1.28917!/RO_47.pdf .
   Google Scholar
• Donnelly C. , Andersson J. C. M. , Arheimer B . Using flow signatures and catchment similarities to evaluate the E-HYPE multi-basin model across Europe. J. Hydrol. Sci. 2015. DOI: 10.1080/02626667.2015.1027710.
   Google Scholar
• Donnelly C. , Arheimer B. , Capell R. , Dahne J. , Strmqvist J . Regional overview of nutrient load in Europe – challenges when using a large-scale model approach, E-HYPE. Understanding fresh-water quality problems in a changing world. Proceedings of IAHS-IAPSO-IASPEI Assembly. 2013; Sweden, IAHS Publ: Gothenburg. 361, 2013, pp. 49–58.
   Google Scholar
• Döscher R. , Meier H. E. M . Simulated sea surface temperature and heat fluxes in different climates of the Baltic Sea. AMBIO. 2004; 33(4): 242–248.
   Google Scholar
• Döscher R. , Willen U. , Jones C. , Rutgersson A. , Meier H , co-authors . The development of the regional coupled ocean–atmosphere model RCAO. Boreal. Environ. Res. 2002; 7(3): 183–192.
   Google Scholar
• Egbert G. D. , Erofeeva S. Y . Efficient inverse modeling of barotropic ocean tides. J. Atmos. Ocean. Technol. 2002; 19(2): 183–204.
   Google Scholar
• Egbert G. D. , Erofeeva S. Y. , Ray R. D . Assimilation of altimetry data for nonlinear shallow-water tides: quarter-diurnal tides of the Northwest European Shelf. Cont. Shelf Res. 2010; 30(6): 668–679.
   Google Scholar
• Emeis K.-C. , van Beusekoma J. , Calliesa U. , Ebinghausa R. , Kannenand A. , co-authors . The North Sea – a shelf sea in the Anthropocene. J. Mar. Syst. 2015; 141: 18–33. DOI: 10.1016/j.jmarsys.2014.03.012.
   Google Scholar
• Fedorov A. V , Goudie A. , Cuff D . Ocean–atmosphere coupling. Oxford Companion to Global Change. 2008; Oxford, Great Britain: Oxford University Press. 369–374.
   Google Scholar
• Feser F. , Rockel B. , von Storch H. , Winterfeldt J. , Zahn R . Regional climate models add value to global model data: a review and selected examples. Bull. Am. Meteorol. Soc. 2011; 92(9): 1181–1192. DOI: 10.1175/2011BAMS3061.1.
   Google Scholar
• Fiorino M . A multi-decadal daily sea surface temperature and sea ice concentration data set for the ECMWF ERA-40 reanalysis. ERA-40 Project Report Series No. 12. 2004; Reading, UK: European Centre for Medium-Range Weather Forecasts. 16 pp.
   Google Scholar
• Gröger M. , Maier-Reimer E. , Mikolajewicz U. , Moll A. , Sein D . NW European shelf under climate warming: implications for open ocean – shelf exchange, primary production, and carbon absorption. Biogeosciences. 2013; 10: 3767–3792. DOI: 10.5194/bg-10-3767-2013.
   Google Scholar
• Gustafsson N. , Nyberg L. , Omstedt A . Coupling of a high-resolution atmospheric model and an ocean model for the Baltic Sea. Mon. Weather Rev. 1998; 126(11): 2822–2846.
   Google Scholar
• Hagedorn R. , Lehmann A. , Jacob D . A coupled high resolution atmosphere–ocean model for the BALTEX region. Meteorol. Z. 2000; 9(1): 7–20.
   Google Scholar
• Harrison D. E. , Carson M . Is the world ocean warming? Upper-ocean temperature trends: 1950–2000. J. Phys. Oceanogr. 2007; 37: 174–187. DOI: 10.1175/JPO3005.1.
   Google Scholar
• Hasselmann K . Stochastic climate models Part I. Theory. Tellus. 1976; 28(6): 473–485.
   Google Scholar
• Höglund A. , Meier H. M. , Broman B. , Kriezi E . Validation and correction of regionalised ERA-40 wind fields over the Baltic Sea using the Rossby Centre Atmosphere model RCA3.0. Report Oceanografi 97. 2009; Norrköping, Sweden: SMHI.
   Google Scholar
• Holt J. , Wakelin S. , Lowe J. , Tinker J . The potential impacts of climate change on the hydrography of the northwest European continental shelf. Prog. Oceanogr. 2010; 86: 361–379.
   Google Scholar
• Hordoir R. , An B. W. , Haapala J. , Dieterich C. , Schimanke S. , co-authors . BaltiX: a 3D ocean modelling configuration for Baltic & North Sea exchange analysis. Report Oceanography 48. 2013; Norrköping, Sweden: SMHI.
   Google Scholar
• Jacob D. , Andrae U. , Elgered G. , Fortelius C. , Graham L. P. , co-authors . A comprehensive model intercomparison study investigating the water budget during the BALTEX-PIDCAP period. Meteorol. Atmos. Phys. 2001; 77(1–4): 19–43.
   Google Scholar
• Janssen F. , Schrum C. , Backhaus J. O . A climatological data set of temperature and salinity for the North Sea and the Baltic Sea. Dtsch. Hyrdrogr. Z. 1999; 51(Suppl. 9): 5–245.
   Google Scholar
• Janssen F. , Schrum C. , Hübner U. , Backhaus J . Uncertainty analysis of a decadal simulation with a regional ocean model for the North Sea and Baltic Sea. Clim. Res. 2001; 18(1/2): 55–62.
   Google Scholar
• Kerr R. A . Forecasting regional climate change flunks its first test. Science. 2013; 339: 638. DOI: 10.1126/science.339.6120.638.
   Google Scholar
• Kjellström E. , Bärring L. , Gollvik S. , Hansson U. , Jones C. , co-authors . A 140-year simulation of European climate with the new version of the Rossby Centre regional atmospheric climate model (RCA3). Reports Meteorology and Climatology 108. 2005; Norrkping, Sweden: SMHI. 54 pp.
   Google Scholar
• Kupiainen M. , Jansson C. , Samuelsson P. , Jones C. , Willn U. , co-authors . Rossby Centre regional atmospheric model, RCA4, Rossby Center News Letter. 2014. Online at: http://www.smhi.se/en/Research/Research-departments/climate-research-rossby-centre2-552/1.16562 .
   Google Scholar
• Kwon Y. O. , Deser C. , Cassou C . Coupled atmosphere mixed layer ocean response to ocean heat flux convergence along the Kuroshio Current Extension. Clim. Dynam. 2010; 36: 2295–2312. DOI: 10.1007/s00382-010-0764-8.
   Google Scholar
• Latif M. , Sperber K. , Arblaster J. , Braconnot P. , Chen D. , co-authors . The El Nio simulation intercomparison project. Clim. Dynam. 2001; 18(3–4): 255–276.
   Google Scholar
• Lehmann A. , Krauss W. , Hinrichesen H.-H . Effects of remote and local atmospheric forcing on circulation and upwelling in the Baltic Sea. Tellus A. 2002; 54: 299–316.
   Google Scholar
• Lehmann A. , Lorenz P. , Jacob D . Modelling the exceptional Baltic Sea inflow events in 2002–2003. Geophys. Res. Lett. 2004; 31(21): L21308.
   Google Scholar
• Liu Y. , Meier H. E. M. , Axell L . Reanalyzing temperature and salinity on decadal time scales using the Ensemble Optimal Interpolation data assimilation method and a 3D ocean circulation model of the Baltic Sea. J. Geophys. Res. 2013; 118(2013): 5536–5554. DOI: 10.1002/jgrc.20384.
   Google Scholar
• Löptien U. , Meier H. E. M . The influence of increasing water turbidity on the sea surface temperature in the Baltic Sea: a model sensitivity study. J. Mar. Syst. 2011; 88: 323–331.
   Google Scholar
• Madec G . NEMO Ocean Engine, User Manual 3.3. 2011; Paris, France: IPSL.
   Google Scholar
• Manabe S. , Stouffer R. V . Low-frequency variability of surface air temperature in a 1000-year integration of a coupled atmosphere–ocean–land surface model. J. Clim. 1996; 9: 376–393.
   Google Scholar
• Matei D. , Pohlmann H. , Jungclaus J. , Müller W. , Haak H. , co-authors . Two tales of initializing decadal climate prediction experiments with the ECHAM5/MPI-OM Model. J. Clim. 2012; 25: 8502–8523.
   Google Scholar
• Mathis M. , Mayer B. , Pohlmann T . An uncoupled dynamical downscaling for the North Sea: method and evaluation. Ocean Model. 2013; 72: 153–166.
   Google Scholar
• Mathis M. , Pohlmann T . Projections of physical conditions in the North Sea for the 21st century. Clim. Res. 2014; 61: 1–17. DOI: 10.3354/cr01232.
   Google Scholar
• Meier H. E. M. , Kauker F . Modeling decadal variability of the Baltic Sea: 2. Role of freshwater inflow and large-scale atmospheric circulation for salinity. J. Geophys. Res. 2003; 108(C11): 3368. DOI: 10.1029/2003JC001799.
   Google Scholar
• Meyer E. M. I. , Pohlmann T. , Weisse R . Hindcast simulation of the North Sea by HAMSOM for the period of 1948 till 2007 – temperature and heat content, GKSS reports 2009/3, ISSN 0344-9629, Helmoltzgemeinschaft, Geestacht. 2009. Online at: http://www.hzg.de/imperia/md/content/gkss/zentrale_einrichtungen/bibliothek/berichte/2009/gkss_2009_3.pdf .
   Google Scholar
• Marotzke J. , Pierce D. W . On spatial scales and lifetimes of SST anomalies beneath a diffusive atmosphere. J. Phys. Oceanogr. 1997; 27: 133–139. DOI: 10.1175/1520-0485(1997)027¡0133:OSSALO¿2.0.CO;2.
   Google Scholar
• Mikolajewicz U. , Maier-Reimer E . Mixed boundary conditions in ocean general circulation models and their influence on the stability of the model's conveyor belt. J. Geophys. Res. 1994; 99: 22633–22644. DOI: 10.1029/94JC01989.
   Google Scholar
• Nilsson J . Propagation, diffusion, and decay of SST anomalies beneath an advective atmosphere. J. Phys. Oceanogr. 2000; 30: 1505–1513. DOI: 10.1175/1520-0485(2000)030¡1505:PDADOS¿2.0.CO;.
   Google Scholar
• Omstedt A. , Chen Y. , Wesslander K . A comparison between the ERA40 and the SMHI gridded meteorological databases as applied to Baltic Sea modelling. Hydrol. Res. 2005; 36(4): 369–380.
   Google Scholar
• Omstedt A. , Elken J. , Lehmann A. , Lepparänta M. , Meier H. E. M. , co-authors . Progress in physical oceanography of the Baltic Sea during the 2003–2014 period. Prog. Oceanogr. 2014; 128: 139–171.
   Google Scholar
• O'Reilly C. , Czaja A . The response of the Pacific storm track and atmospheric circulation to Kuroshio Extension variability. Q. J. Roy. Meteorol. Soc. 2014; 141: 52–66. DOI: 10.1002/qj.2334.
   Google Scholar
• Samuelsson P. , Jones C. G. , Willén U. , Ullerstig A. , Gollvik S. , co-authors . The Rossby Centre Regional Climate model RCA3: model description and performance. Tellus A. 2011; 63: 423.
   Google Scholar
• Saravanan R . Atmospheric low-frequency variability and its relationship to midlatitude SST variability: studies using the NCAR climate system model. J. Clim. 1998; 11(6): 1386–1404.
   Google Scholar
• Sawyer J. S . Observational characteristics of atmospheric fluctuations with a time scale of a month. Q. J. Roy. Meteorol. Soc. 1970; 95: 610–625.
   Google Scholar
• Schrum C . Regionalization of climate change for the North Sea and Baltic Sea. Clim. Res. 2001; 18(1–2): 31–37.
   Google Scholar
• Schrum C. , Hübner U. , Jacob D. , Podzun R . A coupled atmosphere/ice/ocean model for the North Sea and the Baltic Sea. Clim. Dynam. 2003; 21(2): 131–151.
   Google Scholar
• Sein D. , Mikolajewicz U. , Gröger M. , Fast I. , Cabos W. , co-authors . Regionally coupled atmosphere – ocean – sea ice – marine biogeochemistry model ROM. Part I: Description and validation. J. Adv. Model. Earth Syst. 2015; 7: 268–304. DOI: 10.1002/2014MS000357.
   Google Scholar
• Seo H. , Miller A. J. , Roads J. O . The Scripps coupled ocean-atmosphere regional (SCOAR) model with applications in the Eastern Pacific sector. J. Clim. 2007; 20: 381–402.
   Google Scholar
• Simpson J. H. , Bowers D . Models of stratification and frontal movement in shelf seas. Deep-Sea Res. 1981; 28: 727–738.
   Google Scholar
• Su J. , Sein D. V. , Mathias M. , Mayer B. , O'Driscoll K. , co-authors . Assessment of a zoomed global model for the North Sea by comparison with a conventional nested regional model. Tellus A. 2014; 66: 23927. doi: http://dx.doi.org/10.3402/tellusa.v66.23927 .
   Google Scholar
• Sura P. , Newman M . The impact of rapid wind variability upon Air–sea thermal coupling. J. Clim. 2008; 21: 621–637. DOI: 10.1175/2007JCLI1708.1.
   Google Scholar
• Sun D.-Z. , Zhang T. , Covey C. , Klein S. A. , Collins W. D. , co-authors . Radiative and dynamical feedbacks over the equatorial cold tongue: results from nine atmospheric GCM. J. Clim. 2006; 19: 4059–4074.
   Google Scholar
• Tian T. , Boberg F. , Bssing Christensen O. , Hesselbjerg Christensen J. , She J. , co-authors . Resolved complex coastlines and land–sea contrasts in a high-resolution regional climate model: a comparative study using prescribed and modelled SSTs. Tellus A. 2013; 65: 19951. DOI: 10.3402/tellusa.v65i0.19951.
   Google Scholar
• Uppala S. M. , Kallberg P. W. , Simmons A. J. , Andrae U. , da Costa Bechtold V. , co-authors . The ERA-40 re-analysis. Q. J. Roy. Meteorol. Soc. 2005; 131: 2961–3012.
   Google Scholar
• Valcke S. , Caubel A. , Declat D. , Terray L . OASIS3 Ocean Atmosphere Sea Ice Soil Users Guide. 2003; CERFACS, Toulouse, France: Technical Report TR/CMGC/03-69.
   Google Scholar
• Vancoppenolle M. , Fichefet T. , Goosse H. , Bouillon S. , Madec G. , co-authors . Simulating the mass balance and salinity of arctic and antarctic sea ice. Ocean Model. 2009; 27: 33–53.
   Google Scholar
• Van Pham T. , Brauch J. , Dieterich C. , Frueh B. , Ahrens B . New coupled atmosphere–ocean–ice system COSMO-CLM/NEMO: assessing air temperature sensitivity over the North and Baltic Seas. Oceanologia. 2014; 56(2): 167–189. DOI: 10.5697/oc.56-2.167.
   Google Scholar
• Wang S. , Dieterich C. , Döscher R. , Höglund A. , Hordoir R. , co-authors . Development of a new regional coupled atmosphere–ocean model in the North Sea and Baltic Sea. Tellus A. 2015; 67: 24284. doi: http://dx.doi.org/10.3402/tellusa.v67.24284 .
   Google Scholar
• Watanabe M. , Kimoto M . Atmosphere–ocean thermal coupling in the North Atlantic: a positive feedback. Q. J. Roy. Meteorol. Soc. 2006; 126: 3343–3369. DOI: 10.1002/qj.49712657017.
   Google Scholar
• Weisse R. , von Storch H. , Callies U. , Chrastansky A. , Feser F. , co-authors . Regional meteorological–marine reanalyses and climate change projections: results for Northern Europe and potential for coastal and offshore applications. Bull. Am. Meteorol. Soc. 2009; 90(6): 849–860.
   Google Scholar
• Winther N. G. , Johannessen J. A . North Sea circulation: Atlantic inflow and its destination. J. Geophys. Res. 2006; 111: 12018. DOI: 10.1029/2005JC003310.
   Google Scholar
• Woolings T. , Hoskins B. , Blackburn M. , Hassel D. , Hodges K . Storm track sensitivity to sea surface temperature resolution in a regional atmosphere model. Clim. Dynam. 2010; 35: 341–353. DOI: 10.1007/s00382-009-0554-3.
   Google Scholar
• Zhang C . Madden-Julian oscillation. Rev. Geophys. 2005; 43: 1–36. DOI: 10.1029/2004RG000158.
   Google Scholar