Evaluating Near‐Surface Wind Speeds Simulated by the CRCM6‐GEM5 Model Using AmeriFlux Data Over North America

Abstract We evaluate the performance of various configurations of the Canadian Regional Climate Model (CRCM6‐GEM5) in simulating 10‐m wind speeds using data from 27 AmeriFlux stations across North America. The assessment employs a hierarchy of error metrics, ranging from simple mean bias to advanced metrics that account for the dependence of wind speeds on variables such as friction velocity and stability. The results reveal that (a) the value of roughness length (z0) has a large effect on the simulation of wind speeds, (b) using a lower limit for the Obhukov length instead of a lower limit for the lowest level wind speed seems to deteriorate the simulation of wind speeds under very stable conditions, (c) the choice of stability function has a small but noticeable impact on the wind speeds, (d) the turbulent orographic form drag scheme shows improvement over effective roughness length approach.

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Publication Details

Journal
Journal of Advances in Modeling Earth Systems
Published
2025-03-01
DOI
https://doi.org/10.1029/2024ms004666
Citations
2
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
2.60

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article

Evaluating Near‐Surface Wind Speeds Simulated by the CRCM6‐GEM5 Model Using AmeriFlux Data Over North America

François Roberge, Alejandro Di Luca, Tim Whittaker, Katja Winger
2 citations
Journal of Advances in Modeling Earth Systems
Meteorological Phenomena and Simulations
2.60
article

Evaluating Near‐Surface Wind Speeds Simulated by the CRCM6‐GEM5 Model Using AmeriFlux Data Over North America

François Roberge, Alejandro Di Luca, Tim Whittaker, Katja Winger
article en
2 citations

Abstract

Abstract We evaluate the performance of various configurations of the Canadian Regional Climate Model (CRCM6‐GEM5) in simulating 10‐m wind speeds using data from 27 AmeriFlux stations across North America. The assessment employs a hierarchy of error metrics, ranging from simple mean bias to advanced metrics that account for the dependence of wind speeds on variables such as friction velocity and stability. The results reveal that (a) the value of roughness length (z0) has a large effect on the simulation of wind speeds, (b) using a lower limit for the Obhukov length instead of a lower limit for the lowest level wind speed seems to deteriorate the simulation of wind speeds under very stable conditions, (c) the choice of stability function has a small but noticeable impact on the wind speeds, (d) the turbulent orographic form drag scheme shows improvement over effective roughness length approach.

Journal of Advances in Modeling Earth SystemsVol. 17(3)
Université du Québec à Montréal (CA)
Compute Canada, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 13%
Meteorological Phenomena and Simulations
2.60
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