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MDCR



Réseau canadien en modélisation et diagnostics du climat régional (MDCR) 


Application & Achievement


CRCM spatial resolution is sufficiently high to properly represent climate processes of small dimensions such as cloud or storm formation, precipitation, evaporation and soil moisture. A regional climate model is a model nested into a Global Climate Model (GCM). One has to isolate a geographical area of the GCM and determine the boundary conditions of that region using the GCM. These boundary conditions are then used to drive the high resolution Regional Climate Model (RCM) located over the isolated area, which can be any area of the globe.

Also, the CRCM can be used to compensate for the lack of observations in remote areas, to generate chronological climate series or simulate future climate. CRCM spatial resolution is adequate to evaluate regional impacts of climate change. Hence, it means the CRCM is a performing tool available to government and other public or private entities concerned with climate change impacts. With simulations becoming sufficiently sophisticated and realistic, the users can then adopt strategies to mitigate the impacts (e.g. Kyoto protocol) and/or adapt to future climate change. Operational sectors and government services such as weather forecasting and environmental monitoring will also benefit from the progress made with the CRCM.

The CRCMD Network has worked with or currently works with partners such that Hydro-Québec, the Ministère Provincial du Développement durable, de l'Environnement et des Parcs, the Ministère Provincial des Ressources naturelles et de la Faune, Ministère Provincial de l'Enseignement Supérieur et de la Recherche, Meteorological Services of Canada, Natural Ressources Canada and Environment Canada. These partnerships allow climate simulations and validations to be performed in a variety of different ways. For example, the CRCM can be used to evaluate the hydrological regime at the catchment scale. In order to validate the model simulations, D. Caya and R. Laprise associated themselves with Hydro-Québec. Such initiatives are essential for research, both in terms of improving the tools and transferring technological innovations rapidly.

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Achievement


During the past years, the CRCMD Network has been focusing on maintaining and improving the RCM, both in terms of efficiency and quality. CRCM performances at reproducing present climate, whether with respect to nesting strategies, convection schemes or coupling with ocean and sea ice models are thoroughly tested. This work is done in both the context of intercomparison with other RCMs and with reanalysis and observations and requires the use of protocols called diagnostics. Finally, all the time and resources invested in improving the model has for ultimate goal the production of reliable, high resolution climate change projections.

CRCM Update and Improvement

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Validation of CRCM

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Diagnostics


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Climate Change Projections

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Références


Antic, S., R. Laprise, B. Denis, and R. de Elía, 2004: Testing the downscaling ability of a one-way nested regional climate model in regions of complex topography. Clim. Dyn. (in press).

Barrette, N., and R. Laprise, 2002. Numerical modeling: A complementary tool for studying CO2 emissions from hydroelectric reservoirs. Global Biogeochem. Cycles , 16(4), 1128, 75 - 1-11 .

Bielli, S. and R. Laprise, 2004: Scale decomposition of the water budget in a regional climate model. Research activities in Atmospheric and Oceanic Modelling , WMO/TD, edited by J. Côté, April 2004, 5.3

Caya, D., and S. Biner, 2004: Internal variability of RCM simulations over an annual cycle. Clim. Dyn. 22: 33-46.

de Elia, R., and R. Laprise, 2004: Diversity in probability interpretations in weather and climate forecasting. Monthly Weather Review (Accepted with modifications)

de Elía, R. and R. Laprise, 2003: Distribution-oriented verification of limited-area models in a perfect-model framework. Mon. Wea. Rev. 131: 2492-2509.

de Elía, R., R. Laprise and B. Denis, 2002: Forcasting skill limits of nested, limited-area models: a perfect-model approach. Mon. Wea. Rev. 130: 2006-2023.

de Élia, R., R. Laprise et B. Denis, 2002: Short-term downscaling with a limited-area model: diagnostic verification in aperfect-model approach. Research activities in Atmospheric and Oceanic Modelling, edited by H. Ritchie, WMO/TD - No 1105, Report No. 32: 5.5-5.6

Dimitrijevic, M., and R. Laprise, 2004: Validation of the nesting technique in a Regional Climate Model through sensitivity tests to spatial resolution and the time interval of lateral boundary conditions during summer. Accepted in Climate Dynamics.

Denis, B., R. Laprise, D. Caya et J. Côté, 2002: Downscaling ability of one-way-nested regional climate models: The Big-Brother experiment. Clim. Dyn. 18, 627-646.

Denis, B., J. Côté et R. Laprise, 2002: Spectral decomposition of two-dimensional atmospheric fields on limited-area domains using discrete cosine transforms (DFT). Mon. Wea. Rev. 130: 1812-1829.

Denis, B., R. Laprise and D. Caya, 2003: Sensitivity of a Regional Climate Model to the spatial resolution and temporal updating frequency of the lateral boundary conditions. Clim. Dyn. , 20, 107-126 .

Faucher, M., D. Caya, J.-F. Saucier, and R. Laprise 2004: Sensitivity of the CRCM atmospheric and the Gulf of St. Lawrence ocean-ice models to each other. Atmos.-Ocean, 42 (2), 85-100.

Faucher, M., D. Caya, R. Laprise et F. Saucier, 2002: Interaction between atmosphere and ocean-ice regional models over the Gulf of St-Lawrence (Canada). Research activities in Atmospheric and Oceanic Modelling, edited by H. Ritchie, WMO/TD - No 1105, Report No. 32: 7.9-7.10

Frigon, A., D. Caya, M. Slivitzky et D. Tremblay, 2002: Investigation of the hydrologic cycle simulated by the Canadian Regional Climate Model over Québec/Labrador territory. In Advances in Global Change Research, vol 10, Climatic Change: Implications for the Hydrological Cycle and for Water Management, Ed. M. Beniston, Kluwer Academic Publishers (Dordrecht et Boston) 31-55.

Frigon, A., M. Slivitzky et D. Caya, 2002: Investigation of hydrology simulated by the Canadian Regional Climate Model over Québec and Labrador. Research activities in Atmospheric and Oceanic Modelling, edited by H. Ritchie, WMO/TD - No 1105, Report No. 32: 7.11-7.12

Gachon P., F. J. Saucier et R. Laprise, 2002: Evaluation of summer-time near-surface temperature and wind fields over Hudson Bay in a regional atmospheric model. Research activities in Atmospheric and Oceanic Modelling, edited by H. Ritchie, WMO/TD - No 1105, Report No. 32: 5.13-5.14

Héreil, P., et R. Laprise, 1996: Sensitivity of internal gravity wave solutions to the timestep of a semi-implicit semi-Lagrangian non-hydrostatic model. Mon. Wea. Rev. 124 (4), 972-999.

Hernández-Díaz, L., et R. Laprise, 2002: Energetics of African Easterly Waves using the Canadian Regional Climate Model (CRCM): A first approach. Research activities in Atmospheric and Oceanic Modelling, edited by H. Ritchie, WMO/TD - No 1105, Report No. 32: 7.6-7.8

Laprise, R., D. Caya, A. Frigon, and D. Paquin, 2003: Current and perturbed climate as simulated by the second-generation Canadian Regional Climate Model (CRCM-II) over north-western North America. Clim. Dyn. 21: 405-421.

Laprise, R, D. Caya, M. Giguère, G. Bergeron, H. Côté, J.-P. Blanchet, G. J. Boer et N. A. McFarlane, 1998: Climate and Climate Change in Western Canada as simulated by the Canadian Regional Climate Model, Atmos. Oc., 36 (2), 119-167.

Lorant, V., N. McFarlane and R. Laprise, 2002: A numerical study using the Canadian Regional Climate Model for the (Baltex) PIDCAP period. Boreal Environment Research 7(3), 203-210.

Lucas-Picher, P., D. Caya and S. Biner, 2004: RCM’s internal variability as function of domain size. Research activities in Atmospheric and Oceanic Modelling, WMO/TD, edited by J. Côté, April 2004, 7.25-7.26

Lucas-Picher, P., V. K. Arora, D. Caya and R. Laprise, 2003. Implementation of a large-scale variable velocity flow routing algorithm in the Canadian Regional Climate Model (CRCM). Atmos.-Ocean, 41(2), 139-153.

Lucas-Picher, P., V. Arora, D. Caya et R. Laprise, 2002: Incorporating river routing in the Canadian Regional Climate Model. Research activities in Atmospheric and Oceanic Modelling, edited by H. Ritchie, WMO/TD - No 1105, Report No. 32: 7.29-7.30

Mukherjee, S., D. Caya et R. Laprise, 2002: Evaluting data interpolation in moving sparse noisy data to a uniform grid. Research activities in Atmospheric and Oceanic Modelling, edited by H. Ritchie, WMO/TD - No 1105, Report No. 32: 1.44-1.45

Paquin, D. et D. Caya, 2002: Dealing with atmospheric water in a nested RCM. Research activities in Atmospheric and Oceanic Modelling, edited by H. Ritchie, WMO/TD - No 1105, Report No. 32: 7.33-7.34

Riette, S. et D. Caya, 2002: Sensitivity of short simulations to the various parameters in the new CRCM spectral nudging. Research activities in Atmospheric and Oceanic Modelling, edited by H. Ritchie, WMO/TD - No 1105, Report No. 32: 7.39-7.40

Sushama, L., R. Laprise, D. Caya, M. Larocque and M. Slivitzky, 2004: Variable-lag channel flow routing algorithm for climate models. Research activities in Atmospheric and Oceanic Modelling , WMO/TD, edited by J. Côté, April 2004

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UQAM - Université du Québec à Montréal   ›  Dernière mise à jour de cette page : 31 décembre 1969