Description of the Canadian Regional Climate Model

Caya, Daniel; Laprise, René; Giguère, Marie‐Hélène; Bergeron, Guy; Blanchet, Jean‐Pierre; Boer, G. J.; McFarlane, N. A.

doi:10.1007/978-94-017-0942-2_45

Cited by 26 publications

(23 citation statements)

References 7 publications

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“…The Canadian RCM also employs the consistent-physics approach (Caya et al, 1995;Caya and Laprise, 1999). Laprise et al (1998) made two 5-year integrations at 45-km grid increments over western Canada for 1 × CO 2 and 2 ×CO 2 conditions and found the output similar to that of the driving GCM.…”

Section: Consistent-physics Rcms Three Important European Rcms Emplomentioning

confidence: 99%

Developments and prospects in synoptic climatology

Yarnal

Comrie

Frakes

et al. 2001

Intl Journal of Climatology

261

167

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Developments in synoptic climatology in the 1990s included advances in traditional synoptic climatology, empirical downscaling, and dynamical downscaling (i.e. regional climate modelling). The research emphasis in traditional, empirical-statistical approaches to synoptic climatology shifted from methodological development to applications of widely accepted classification techniques, including manual, correlation-based, eigenvector-based, compositing and indexing schemes. In contrast, most efforts in empirical downscaling, which became a well-established field of synoptic climatology during the 1990s, were directed to model development; applications were of secondary concern. Similarly, regional climate models (RCMs) burst onto the scene during the decade and focused on model development, although important progress was made in linking or coupling RCMs to regional or local surface climate systems. This paper discusses prospects for the future of traditional synoptic climatology, empirical downscaling and regional climate modelling. It concludes by looking at the present role of geographic information system (GIS) concepts in synoptic climatology and the potential future role of GIS to the field.

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Section: Consistent-physics Rcms Three Important European Rcms Emplomentioning

confidence: 99%

Developments and prospects in synoptic climatology

Yarnal

Comrie

Frakes

et al. 2001

Intl Journal of Climatology

261

167

View full text Add to dashboard Cite

show abstract

“…CRCM was developed at the UniversiteÂ du QueÂ bec aÁ MontreÂ al jointly with the Canadian Centre for Climate modelling and analysis in Canada (Caya et al 1995;Caya and Laprise 1999). The results of Laprise et al (1998) highlight its potential for continuous multi-year simulations at 45-km resolution over western Canada.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of an extreme storm with the Canadian Regional Climate Model: the case study of windstorm VIVIAN , Switzerland, February 27, 1990

Goyette¹,

Beniston²,

Caya

et al. 2001

Climate Dynamics

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“…This type of modelling allows for the finer resolution needed in the Hudson Bay region but without the exorbitant computational overhead of a uniformly fine grid model (Giorgi, 1990;McGregor, 1997). Regional model capability has been developed for the CCCma model (Caya et al, 1995;Laprise et al, 1998;Caya and Laprise, 1999). Development of a regional model based on the CCCma model would allow a more accurate representation of the bathymetry of Hudson Bay, the interaction with the Labrador Sea and Foxe Basin, and the parameters of sea-ice conductivity and thermal diffusivity of seawater.…”

Section: Discussionmentioning

confidence: 99%

Climate Change Scenarios for Hudson Bay, Canada, from General Circulation Models

Gough

Wolfe²

2001

ARCTIC

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ABSTRACT. Two generations of a climate model are compared using the impact of a CO 2 doubling on the Hudson Bay region as the means of diagnosing differences in model performance. Surface temperature, precipitation, sea-ice coverage, and permafrost distribution are compared. The most striking difference is the response of the sea ice in the two models. In the coupled atmosphere-ocean climate model, sea ice virtually disappears in Hudson Bay. This leads to a substantially higher regional temperature response. We suggest that conductivity of sea ice and thermal diffusivity of seawater are key factors that cause the difference in sea-ice response. It is recommended that a regional model be developed to produce more representative climate change scenarios for the Hudson Bay region.Key words: Hudson Bay, climate modeling, climate change scenarios, sea ice, permafrost, global warming RÉSUMÉ. On compare deux générations d'un modèle de climat en calculant l'incidence sur la région de la baie d'Hudson d'une multiplication par deux du taux de CO 2 afin de diagnostiquer les différences dans la performance des deux versions du modèle. On compare la température en surface, les précipitations, la couverture de glace de mer et la distribution du pergélisol. La différence la plus marquante apparaît dans la façon dont la glace de mer réagit dans les deux modèles. Dans le modèle de climat avec couplage atmosphère-océan, la glace de mer disparaît pratiquement de la baie d'Hudson. Il en résulte une hausse notable de la température régionale. On suggère que la conductivité de la glace de mer et la diffusivité thermique de l'eau de mer sont des facteurs clés responsables de la différence dans le comportement de la glace de mer. On recommande l'élaboration d'un modèle régional qui créerait des scénarios de changement climatique plus réalistes pour la région de la baie d'Hudson.Mots clés: baie d'Hudson, modélisation climatique, scénarios de changement climatique, glace de mer, pergélisol, réchauffement planétaire Traduit pour la revue Arctic par Nésida Loyer.

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Description of the Canadian Regional Climate Model

Cited by 26 publications

References 7 publications

Developments and prospects in synoptic climatology

Developments and prospects in synoptic climatology

Numerical investigation of an extreme storm with the Canadian Regional Climate Model: the case study of windstorm VIVIAN , Switzerland, February 27, 1990

Climate Change Scenarios for Hudson Bay, Canada, from General Circulation Models

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