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A High-resolution Ocean and Sea-ice Modelling System for the Arctic and North Atlantic Oceans : Volume 8, Issue 1 (05/01/2015)

By Dupont, F.

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Book Id: WPLBN0004009812
Format Type: PDF Article :
File Size: Pages 52
Reproduction Date: 2015

Title: A High-resolution Ocean and Sea-ice Modelling System for the Arctic and North Atlantic Oceans : Volume 8, Issue 1 (05/01/2015)  
Author: Dupont, F.
Volume: Vol. 8, Issue 1
Language: English
Subject: Science, Geoscientific, Model
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Lu, Y., Smith, G. C., Bourdallé-Badie, R., Lemieux, J., Dupont, F., Davidson, F.,...Garric, G. (2015). A High-resolution Ocean and Sea-ice Modelling System for the Arctic and North Atlantic Oceans : Volume 8, Issue 1 (05/01/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: MSC, Environment Canada, Dorval, QC, Canada. As part of the CONCEPTS (Canadian Operational Network of Coupled Environmental PredicTion Systems) initiative, The Government of Canada is developing a high resolution (1/12°) ice–ocean regional model covering the North Atlantic and the Arctic oceans. The objective is to provide Canada with short-term ice–ocean predictions and hazard warnings in ice infested regions. To evaluate the modelling component (as opposed to the analysis – or data-assimilation – component), a series of hindcasts for the period 2003–2009 is carried out, forced at the surface by the Canadian Global Re-Forecasts. These hindcasts test how the model represent upper ocean characteristics and ice cover. Each hindcast implements a new aspect of the modelling or the ice–ocean coupling. Notably, the coupling to the multi-category ice model CICE is tested. The hindcast solutions are then assessed using a validation package under development, including in-situ and satellite ice and ocean observations. The conclusions are: (1) the model reproduces reasonably well the time mean, variance and skewness of sea surface height. (2) The model biases in temperature and salinity show that while the mean properties follow expectations, the Pacific Water signature in the Beaufort Sea is weaker than observed. (3) However, the modelled freshwater content of the Arctic agrees well with observational estimates. (4) The distribution and volume of the sea ice is shown to be improved in the latest hindcast thanks to modifications to the drag coefficients and to some degree as well to the ice thickness distribution available in CICE. (5) On the other hand, the model overestimates the ice drift and ice thickness in the Beaufort Gyre.

Summary
A high-resolution ocean and sea-ice modelling system for the Arctic and North Atlantic Oceans

Excerpt
Amante, C. and Eakins, B. W.: ETOPO1 1-Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, Tech. rep., NOAA Technical Memorandum NESDIS NGDC-24, National Geophysical Data Center, NOAA, doi:10.7289/V5C8276M, 2009.; Barnier, B., Madec, G., Penduff, T., Molines, J.-M., Tréguier, A.-M., Le Sommer, J., Beckmann, A., Biastoch, A., Böning, C., Dengg, J., Derval, C., Durand, E., Gulev, S., Rémy, E., Talandier, C., Theetten, S., Maltrud, M. E., McClean, J., and De Cuevas, B.: Impact of partial steps and momentum advection schemes in a global ocean circulation model at eddy permitting resolution, Ocean Dynam., 56, 543–567, doi:10.1007/s10236-006-0082-1, 2006.; Benveniste, J.: Radar altimetry: past, present and future, in: Coastal Altimetry, edited by: Vignudelli, S., Kostianoy, A., Cipolline, P., and Benveniste, J., Springer-Verlag, 1–17, doi:10.1007/978-3-642-12796-0_1, 2011.; Blanke, B. and Delecluse, P.: Variability of the tropical Atlantic Ocean simulated by a general circulation model with two different mixed-layer physics, J. Phys. Oceanogr., 23, 1363–1388, 1993.; Bouillon, S., Morales-Maqueda, M. A., Legat, V., and Fichefet, T.: An elastic-viscous-plastic sea ice model formulated on Arakawa B and C grids, Ocean Model., 27, 174–184, doi:10.1016/j.ocemod.2009.01.004, 2009.; Campin, J.-M., Marshall, J., and Ferreira, D.: Sea ice–ocean coupling using a rescaled vertical coordinate z*, Ocean Model., 24, 1–14, doi:10.1016/j.ocemod.2008.05.005, 2008.; Cavalieri, D. C., Parkinson, C., Gloersen, P., and Zwally, H. J.: Sea Ice Concentrations from NIMBUS-7 SMMR and DMSP SSM/I Passive Microwave Data, [1979–2006], Tech. Rep., digital media, National Snow and Ice Data Center, Boulder, Colorado USA, 1996 (last updated 2008).; Curry, B., Lee, C., Petrie, B., Moritz, R., and Kwok, R.: Multi-year volume, liquid freshwater, and sea ice transports through Davis Strait, 2004–2010, J. Phys. Oceanogr., 44, 1244–1266, doi:10.1175/JPO-D-13-0177.1, 2013.; Drakkar Group: Eddy permitting ocean circulation hindcasts of past decades, Clivar Exchanges, 12, 8–10, 2007.; Drillet, Y., Bourdallé-Badie, R., Siefridt, L., and Provost, C. L.: Meddies in the Mercator North Atlantic and Mediterranean Sea eddy-resolving model, J. Geophys. Res., 110, C03016, doi:10.1029/2003JC002170, 2005.; Dumont, D., Kohout, A., and Bertino, L.: A wave-based model for the marginal ice zone including a floe breaking parameterization, J. Geophys. Res., 116, C04001, doi:10.1029/2010JC006682, 2011.; Dupont, F., Hannah, C. G., and Wright, D. G.: Model investigation of the slope water, north of the Gulf Stream, Geophys. Res. Lett., 33, L05604, doi:10.1029/2005GL025321, 2006.; Dupont, F., Chittibabu, P., Fortin, V., Rao, Y. R., and Lu, Y.: Assessment of a nemo-based hydrodynamic modelling system for the great lakes, Water Qual. Res. J. Can., 47, 198–214, doi:10.2166/wqrjc.2012.014, 2012.; Farrell, S. L., McAdoo, D. C., Laxon, S. W., Zwally, H. J., Yi, D., Ridout, A., and Giles, K.: Mean dynamic topography of the Arctic Ocean, Geophys. Res. Lett., 39, L01601, doi:10.1029/2011GL050052, 2012.; Ferry, N., Parent, L., Garric, G., Bricaud, C., Testut, C.-E., Le Galloudec, O., Lellouche, J.-M., Drevillon, M., Greiner, E., Barnier

 

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