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Applied Research / Recherche appliquée

Performance of the Canadian Arctic Prediction System during the YOPP Special Observing Periods

ORCID Icon, , , , , ORCID Icon, , ORCID Icon, , & show all
Pages 246-272 | Received 21 Jun 2022, Accepted 17 Feb 2023, Published online: 05 Apr 2023

References

  • Bauer, P., Thorpe, A., & Brunet, G. (2015). The quiet revolution of numerical weather prediction. Nature, 525(7567), 47–55. https://doi.org/10.1038/nature14956
  • Bélair, S., Brown, R., Mailhot, J., Bilodeau, B., & Crevier, L.-P. (2003). Operational implementation of the ISBA land surface scheme in the Canadian regional weather forecast model. Part II: Cold season results. Journal of Hydrometeorology, 4, 371–386. https://doi.org/10.1175/1525-7541(2003)4<371:OIOTIL>2.0.CO;2
  • Bélair, S., Crevier, L.-P., Mailhot, J., Bilodeau, B., & Delage, Y. (2003). Operational implementation of the ISBA land surface scheme in the Canadian regional weather forecast model. Part I: Warm season results. Journal of Hydrometeorology, 4, 352–370. https://doi.org/10.1175/1525-7541(2003)4<352:OIOTIL>2.0.CO;2
  • Brasnett, B. (2008). The impact of satellite retrievals in a global sea-surface-temperature analysis. Quarterly Journal of the Royal Meteorological Society, 134(636), 1745–1760. https://doi.org/10.1002/qj.319
  • Buehner, M., Caya, A., Carrieres, T., & Pogson, L. (2016). Assimilation of SSMIS and ASCAT data and the replacement of highly uncertain estimates in the environment Canada regional ice prediction system. Quarterly Journal of the Royal Meteorological Society, 142(695), 562–573. https://doi.org/10.1002/qj.2408
  • Buehner, M., McTaggart-Cowan, R., Beaulne, A., Charette, C., Garand, L., Heilliette, S., Lapalme, E., Laroche, S., Macpherson, S. R., Morneau, J., & Zadra, A. (2015). Implementation of deterministic weather forecasting systems based on ensemble–variational data assimilation at environment Canada. Part I: The global system. Monthly Weather Review, 143(7), 2532–2559. https://doi.org/10.1175/MWR-D-14-00354.1
  • Buisan, S. T., Smith, C. D., Ross, A., Kochendorfer, J., Collado, J. L., Alastrue, J., Wolff, M., Roulet, Y.-A., Earle, M. E., Laine, T., Rasmussen, R., & Nitu, R. (2020). The potential for uncertainty in numerical weather prediction model verification when using solid precipitation observations. Atmospheric Science Letters, 21(7), e976. https://doi.org/10.1002/asl.976
  • Colli, M., Stagnaro, M., Lanza, L. G., Rasmussen, R., & Thériault, J. M. (2020). Adjustments for wind-induced undercatch in snow-fall measurements based on precipitation intensity. Journal of Hydrometeorology, 21(5), 1039–1050. https://doi.org/10.1175/JHM-D-19-0222.1
  • Coté, J., Desmarais, J.-G., Gravel, A., Méthot, A., Patoine, A., Roch, M., & Staniforth, A. (1998). The operational CMC–MRB global environmental multiscale (GEM) model. Part II: Results. Monthly Weather Review, 126(6), 1397–1418. https://doi.org/10.1175/1520-0493(1998)126<1397:TOCMGE>2.0.CO;2
  • Coté, J., Gravel, A., Méthot, A., Patoine, A., Roch, M., & Staniforth, A. (1998). The operational CMC-MRB global environmental multiscale (GEM) model. Part I: Design considerations and formulation. Monthly Weather Review, 126, 1373–1395. https://doi.org/10.1175/1520-0493(1998)126<1373:TOCMGE>2.0.CO;2
  • Coumou, D., Di Capua, G., Vavrus, S., Wang, L., & Wang, S. (2018). The influence of Arctic amplification on mid-latitude summer circulation. Nature Communications, 9(1), 2959. https://doi.org/10.1038/s41467-018-05256-8
  • Dupont, F., Higginson, S., Bourdallé-Badie, R., Lu, Y., Roy, F., Smith, G. C., Lemieux, J.-F., Garric, G., & Davidson, F. (2015). A high-resolution ocean and sea-ice modelling system for the Arctic and North Atlantic oceans. Geoscientific Model Development, 8(5), 1577–1594. https://doi.org/10.5194/gmd-8-1577-2015
  • ECCC-MANOBS. (2019). Environment and climate change Canada (ECCC) manual of surface weather observation standards (8th ed.). https://www.canada.ca/en/environment-climate-change/services/weather-manuals-documentation/manobs-surface-observations.html
  • ECCC-MSC website. Changes to the Canadian meteorological center (CMC) operational system. https://eccc-msc.github.io/open-data/msc-data/changelog_nwp_en
  • Efron, B., & Tibshirani, R. J. (1993). An introduction to the bootstrap. Monographs on statistics and applied probability, 57(1).
  • Flato, G., Marotzke, J., Abiodun, B., Braconnot, P., Chou, S. C., Collins, W., Cox, P., Driouech, F., Emori, S., Eyring, V., Forest, C., Gleckler, P., Guilyardi, E., Jakob, C., Kattsov, V., Reason, C., & Rummukainen, M. (2013). Evaluation of climate models. In T. F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, & P. M. Midgley (Eds.), Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change (pp. 741–866). Cambridge University Press.
  • Fortin, V., Roy, G., Stadnyk, T., Koenig, K., Gasset, N., & Mahidjiba, A. (2018). Ten years of science based on the Canadian precipitation analysis: A CaPA system overview and literature review. Atmosphere-Ocean, 56(3), 178–196. https://doi.org/10.1080/07055900.2018.1474728
  • Girard, C., Plante, A., Desgagné, M., McTaggart-Cowan, R., Coté, J., Charron, M., Gravel, S., Lee, V., Patoine, A., Qaddouri, A., Roch, M., Spacek, L., Tanguay, M., Vaillancourt, P. A., & Zadra, A. (2014). Staggered vertical discretization of the Canadian environmental multiscale (GEM) model using a coordinate of the log-hydrostatic-pressure type. Monthly Weather Review, 142(3), 1183–1196. https://doi.org/10.1175/MWR-D-13-00255.1
  • Goessling, H. F., Jung, T., Klebe, S., Baeseman, J., Bauer, P., Chen, P., Chevallier, M., Dole, R., Gordon, N., Ruti, P., Bradley, A., Bromwich, D. H., Casati, B., Chechin, D., Day, J. J., Massonnet, F., Mills, B., Renfrew, I., Smith, G., & Tatusko, R. (2016). Paving the way for the year of polar prediction. Bulletin of the American Meteorological Society, 97(4), ES85–ES88. https://doi.org/10.1175/BAMS-D-15-00270.1
  • Hunke, E. C., & Lipscomb, W. H. (2010). CICE: The Los Alamos sea ice model documentation and software user’s manual version 4.1 (Technical Report LA-CC-06-012). Los Alamos National Laboratory.
  • Jolliffe, I. T., & Stephenson, D. B. (Eds.). (2012). Forecast verification: a practitioner's guide in atmospheric science. John Wiley & Sons.
  • Kochendorfer, J., Nitu, R., Wolff, M., Mekis, E., Rasmussen, R., Baker, B., Earle, M. E., Reverdin, A., Wong, K., Smith, C. D., Yang, D., Roulet, Y.-A., Buisan, S., Laine, T., Lee, G., Aceituno, J. L. C., Alastrué, J., Isaksen, K., Meyers, T., … Poikonen, A. (2017). Analysis of single-alter-shielded and unshielded measurements of mixed and solid precipitation from WMO-SPICE. Hydrology and Earth System Sciences, 21(7), 3525–3542. https://doi.org/10.5194/hess-21-3525-2017
  • Kochendorfer, J., Nitu, R., Wolff, M., Mekis, E., Rasmussen, R., Baker, B., Earle, M. E., Reverdin, A., Wong, K., Smith, C. D., Yang, D., Roulet, Y.-A., Meyers, T., Buisan, S., Isaksen, K., Brækkan, R., Landolt, S., & Jachcik, A. (2018). Testing and development of transfer functions for weighing precipitation gauges in WMO-SPICE. Hydrology and Earth System Sciences, 22(2), 1437–1452. https://doi.org/10.5194/hess-22-1437-2018
  • Køltzow, M., Casati, B., Haiden, T., & Valkonen, T. (2020). Verification of solid precipitation forecasts from numerical weather prediction models in Norway. Weather and Forecasting, 35(6), 2279–2292. https://doi.org/10.1175/WAF-D-20-0060.1
  • Lemieux, J. F., Beaudoin, C., Dupont, F., Roy, F., Smith, G. C., Shlyaeva, A., Buehner, M., Caya, A., Chen, J., Carriers, T., Pogson, L., DeRepentigny, P., Plante, A., Pestieau, P., Pellerin, P., Ritchie, H., Garric, G., & Ferry, N. (2016). The regional ice prediction system (RIPS): Verification of forecast sea ice concentration. Quarterly Journal of the Royal Meteorological Society, 142(695), 632–643. https://doi.org/10.1002/qj.2526
  • Madec, G., & the NEMO team. (2008). NEMO ocean engine. Note du Pole de modélisation, de l’Institut Pierre-Simon Laplace (IPSL, France) No 27, ISSN No 1288–1619.
  • McTaggart-Cowan, R., Girard, C., Plante, A., & Desgagné, M. (2011). The utility of upper-boundary nesting in NWP. Monthly Weather Review, 139(7), 2117–2144. https://doi.org/10.1175/2010MWR3633.1
  • McTaggart-Cowan, R., Vaillancourt, P. A., Zadra, A., Chamberland, S., Charron, M., Corvec, S., Milbrandt, J. A., Paquin-Ricard, D., Patoine, A., Roch, M., Separovic, L., & Yang, J. (2019). Modernization of atmospheric physics parameterization in Canadian NWP. Journal of Advances in Modeling Earth Systems, 11(11), 3593–3635. https://doi.org/10.1029/2019MS001781
  • Mearns, L. O., Giorgi, F., McDaniel, L., & Shields, C. (1995). Analysis of variability and diurnal range of daily temperature in a nested regional climate model: Comparison with observations and doubled CO2 results. Climate Dynamics, 11(4), 193–209. https://doi.org/10.1007/BF00215007
  • Milbrandt, J. A., & Morrison, H. (2016). Parameterization of cloud microphysics based on the prediction of bulk Ice particle properties. Part III: Introduction of multiple free categories. Journal of the Atmospheric Sciences, 73(3), 975–995. https://doi.org/10.1175/JAS-D-15-0204.1
  • Mo, R., Brugman, M. M., Milbrandt, J. A., Goosen, J., Geng, Q., Emond, C., Bau, J., & Erfani, A. (2019). Impacts of hydrometeor drift on orographic precipitation: Two case studies of landfalling atmospheric rivers in British Columbia, Canada. Weather and Forecasting, 34(5), 1211–1237. https://doi.org/10.1175/WAF-D-18-0176.1
  • Morrison, H., & Milbrandt, J. A. (2015). Parameterization of cloud microphysics based on the prediction of bulk Ice particle properties. Part I: Scheme description and idealized tests. Journal of the Atmospheric Sciences, 72(1), 287–311. https://doi.org/10.1175/JAS-D-14-0065.1
  • National Research Council. (2014). Linkages between Arctic warming and mid-latitude weather patterns: Summary of a workshop. The National Academies Press. https://doi.org/10.17226/18727
  • Nitu, R., Roulet, Y. A., Wolff, M., Earle, M., Reverdin, A., Smith, C., Kochendorfer, J., Morin, S., Rasmussen, R., Wong, K., Alastrué, J., Arnold, L., Baker, B., Buisán, S., Collado, J. L., Colli, M., Collins, B., Gaydos, A., Hannula, H. R., … Senese, A. (2018). WMO solid precipitation intercomparison experiment (SPICE) (2012–2015). World Meteorological Organization Instruments and Observing Methods Report No. 131, Geneva, Switzerland. https://library.wmo.int/index.php?lvl=notice_display&id=20742.
  • Noilhan, J., & Planton, S. (1989). A simple parameterization of land surface processes for meteorological models. Monthly Weather Review, 117(3), 536–549. https://doi.org/10.1175/1520-0493(1989)117<0536:ASPOLS>2.0.CO;2
  • Pithan, F., Svensson, G., Caballero, R., Checin, D., Cronin, T. W., Ekman, A. M. L., Neggers, R., Shupe, M. D., Solomon, A., Tjernstrom, M., & Wendisch, M. (2018). Role of air-mass transformations in exchange between the Arctic and mid-latitudes. Nature Geoscience, 11(11), 805–812. https://doi.org/10.1038/s41561-018-0234-1
  • Pudykiewicz, J., Benoit, R., & Mailhot, J. (1992). Inclusion and verification of a predictive cloud-water scheme in a regional numerical weather prediction model. Monthly Weather Review, 120(4), 612–626. https://doi.org/10.1175/1520-0493(1992)120<0612:IAVOAP>2.0.CO;2
  • Separovic, L., Corvec, S., & Patoine, A. (2019). Changes to the regional deterministic prediction system (RDPS) from version 6.0.0 to version 7.0.0. Environment and Climate Change Canada – Canadian Meteorological Centre (ECCC-CMC). https://collaboration.cmc.ec.gc.ca/cmc/cmoi/product_guide/docs/tech_notes/technote_rdps-700_20190703_e.pdf.
  • Smith, D. M., Eade, R., Andrews, M. B., Ayres, H., Clark, A., Chripko, S., Deser, C., Dunstone, N. J., Garcia-Serrano, J., Gastineau, G., Graff, L. S., Hardiman, S. C., He, B., Hermanson, L., Jung, T., Knight, J., Levine, X., Magnusdottir, G., Manzini, E., … Walsh, A. (2022). Robust but weak winter atmospheric circulation response to future Arctic sea ice loss. Nature Communications, 13(1), 727. https://doi.org/10.1038/s41467-022-28283-y
  • Smith, D. M., Screen, J. A., Deser, C., Cohen, J., Fyfe, J. C., García-Serrano, J., Jung, T., Kattsov, V., Matei, D., Msadek, R., Peings, Y., Sigmond, M., Ukita, J., Yoon, J. H., & Zhang, X. (2019). The Polar amplification model intercomparison project (PAMIP) contribution to CMIP6: Investigating the causes and consequences of polar amplification. Geoscientific Model Development, 12(3), 1139–1164. https://doi.org/10.5194/gmd-12-1139-2019
  • Smith, G. C., Bélanger, J.-M., Roy, F., Pellerin, P., Ritchie, H., Onu, K., Roch, M., Zadra, A., Colan, D. S., Winter, B., Fontecilla, J.-S., & Deacu, D. (2018). Impact of coupling with an Ice-ocean model on global medium-range NWP forecast skill. Monthly Weather Review, 146(4), 1157–1180. https://doi.org/10.1175/MWR-D-17-0157.1
  • Smith, G. C., Liu, Y., Benkiran, M., Chikhar, K., Surcel Colan, D., Gauthier, A.-A., Testut, C.-E., Dupont, F., Lei, J., Roy, F., Lemieux, J.-F., & Davidson, F. (2021). The regional ice ocean prediction system v2: A pan-Canadian ocean analysis system using an online tidal harmonic analysis. Geoscientific Model Development, 14(3), 1445–1467. https://doi.org/10.5194/gmd-14-1445-2021
  • Smith, G. C., Roy, F., Reszka, M., Surcel Colan, D., He, Z., Deacu, D., Belanger, J.-M., Skachko, S., Liu, Y., Dupont, F., Lemieux, J. F., Beaudoin, C., Tranchant, B., Drévillion, M., Garric, G., Testut, C.-E., Lellouche, J.-M., Pellerin, P., Ritchie, H., … Lajoie, M. (2016). Sea ice forecast verification in the Canadian global ice ocean prediction system. Quarterly Journal of the Royal Meteorological Society, 142(695), 659–671. https://doi.org/10.1002/qj.2555
  • Sundqvist, H. (1978). A parameterization scheme for non-convective condensation including prediction of cloud water content. Quarterly Journal of the Royal Meteorological Society, 104(441), 677–690. https://doi.org/10.1002/qj.49710444110
  • WMO-485. Manual on the global data processing and forecasting systems (World Meteorological Organization Manual n. 485). https://library.wmo.int/doc_num.php?explnum_id=11339
  • Wolff, M. A., Isaksen, K., Petersen-Overleir, A., Odemark, K., Reitan, T., & Braekkan, R. (2015). Derivation of a new continuous adjustment function for correcting wind-induced loss of solid precipitation: Results of a Norwegian field study. Hydrology and Earth System Sciences, 19(2), 951–967. https://doi.org/10.5194/hess-19-951-2015