Using Stochastically Perturbed Parameterizations to Represent Model Uncertainty. Part I: Implementation and Parameter Sensitivity

Autor: Ron McTaggart-Cowan, Leo Separovic, Rabah Aider, Martin Charron, Michel Desgagné, Pieter L. Houtekamer, Danahé Paquin-Ricard, Paul A. Vaillancourt, Ayrton Zadra

Publikováno v: Monthly Weather Review. 150:2829-2858

Accurately representing model-based sources of uncertainty is essential for the development of reliable ensemble prediction systems for NWP applications. Uncertainties in discretizations, algorithmic approximations, and diabatic and unresolved proces

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e95b7f9db1c41284d94896a3c4e2793f
https://doi.org/10.1175/mwr-d-21-0315.1

Use of a Genetic Algorithm to Optimize a Numerical Weather Prediction System

Autor: P. L. Houtekamer, Dominik Jacques, Xingxiu Deng, Paul A. Vaillancourt, Ayrton Zadra, Ron McTaggart-Cowan, Leo Separovic, Bin He

Publikováno v: Monthly Weather Review. 149:1089-1104

An important step in an ensemble Kalman filter (EnKF) algorithm is the integration of an ensemble of short-range forecasts with a numerical weather prediction (NWP) model. A multiphysics approach is used in the Canadian global EnKF system. This paper

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d32a58cd22bf8e2284b2097f9dfed57b
https://doi.org/10.1175/mwr-d-20-0238.1

On the Progressive Attenuation of Finescale Orography Contributions to the Vertical Coordinate Surfaces within a Terrain-Following Coordinate System

Autor: André Plante, Shawn Corvec, Leo Separovic, Claude Girard, Syed Zahid Husain

Publikováno v: Monthly Weather Review. 148:4143-4158

A modified hybrid terrain-following vertical coordinate has recently been implemented within the Global Environmental Multiscale atmospheric model that introduces separately controlled height-dependent progressive decaying of the small- and large-sca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ff4522450ec66d209b36fcfb59072f0f
https://doi.org/10.1175/mwr-d-20-0085.1

Is Institutional Democracy a Good Proxy for Model Independence?

Autor: Martin Leduc, Leo Separovic, Ramón de Elía, René Laprise

Publikováno v: Journal of Climate. 29:8301-8316

Climate models developed within a given research group or institution are prone to share structural similarities, which may induce resembling features in their simulations of the earth’s climate. This assertion, known as the “same-center hypothes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::40b5ee8670ffff25f2d23f4b1ba255c3
https://doi.org/10.1175/jcli-d-15-0761.1

Reanalysis-driven climate simulation over CORDEX North America domain using the Canadian Regional Climate Model, version 5: model performance evaluation

Autor: René Laprise, Andrey Martynov, Bernard Dugas, Katja Winger, Laxmi Sushama, Leo Separovic

Publikováno v: Martynov, Andrey; Laprise, R.; Sushama, L.; Winger, K.; Šeparović, L.; Dugas, B. (2013). Reanalysis-driven climate simulation over CORDEX North America domain using the Canadian Regional Climate Model, version 5: model performance evaluation. Climate dynamics, 41(11-12), pp. 2973-3005. Springer Berlin Heidelberg 10.1007/s00382-013-1778-9

The performance of reanalysis-driven Canadian Regional Climate Model, version 5 (CRCM5) in reproducing the present climate over the North American COordinated Regional climate Downscaling EXperiment domain for the 1989–2008 period has been assessed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b4d03fc036aef5237b3177c4ced6675
https://doi.org/10.1007/s00382-013-1778-9