Articles | Volume 16, issue 22
https://doi.org/10.5194/gmd-16-6553-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-16-6553-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improvements in the Canadian Earth System Model (CanESM) through systematic model analysis: CanESM5.0 and CanESM5.1
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
James Anstey
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Vivek Arora
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Ruth Digby
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
School of Earth and Ocean Sciences, University of Victoria, Victoria, British Columbia, Canada
Nathan Gillett
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Viatcheslav Kharin
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
William Merryfield
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Catherine Reader
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
John Scinocca
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Neil Swart
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
John Virgin
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Department of Geography and Environmental Management, University of Waterloo, Waterloo, Ontario, Canada
Carsten Abraham
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Jason Cole
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Nicolas Lambert
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Woo-Sung Lee
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Yongxiao Liang
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
School of Earth and Ocean Sciences, University of Victoria, Victoria, British Columbia, Canada
Elizaveta Malinina
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Landon Rieger
Institute of Space and Atmospheric Studies, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
Knut von Salzen
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Christian Seiler
School of Environmental Studies, Queen's University, Kingston, Ontario, Canada
Clint Seinen
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Andrew Shao
Hewlett Packard Enterprise Canada, At-Scale Engineering, Victoria, British Columbia, Canada
Reinel Sospedra-Alfonso
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Libo Wang
Climate Processes Section, Climate Research Division, Environment and Climate Change Canada, Toronto, Ontario, Canada
Duo Yang
Canadian Centre for Climate Modelling and Analysis, Climate Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
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Cited
8 citations as recorded by crossref.
- Large-ensemble assessment of the Arctic stratospheric polar vortex morphology and disruptions A. Kuchar et al. 10.5194/wcd-5-895-2024
- Unusually low dust activity in North Africa in June 2023: Causes, impacts and future projections D. Francis et al. 10.1016/j.atmosres.2024.107594
- A new lightning scheme in the Canadian Atmospheric Model (CanAM5.1): implementation, evaluation, and projections of lightning and fire in future climates C. Whaley et al. 10.5194/gmd-17-7141-2024
- The role of the basic state in the climate response to future Arctic sea ice loss M. Sigmond & L. Sun 10.1088/2752-5295/ad44ca
- How well do Earth system models reproduce the observed aerosol response to rapid emission reductions? A COVID-19 case study R. Digby et al. 10.5194/acp-24-2077-2024
- Assessing CMIP6 uncertainties at global warming levels G. Evin et al. 10.1007/s00382-024-07323-x
- CanESM5-derived ocean wave projections — Considerations for coarse resolution climate models M. Casas-Prat et al. 10.1016/j.ocemod.2024.102430
- Global-scale gravity wave analysis methodology for the ESA Earth Explorer 11 candidate CAIRT S. Rhode et al. 10.5194/amt-17-5785-2024
8 citations as recorded by crossref.
- Large-ensemble assessment of the Arctic stratospheric polar vortex morphology and disruptions A. Kuchar et al. 10.5194/wcd-5-895-2024
- Unusually low dust activity in North Africa in June 2023: Causes, impacts and future projections D. Francis et al. 10.1016/j.atmosres.2024.107594
- A new lightning scheme in the Canadian Atmospheric Model (CanAM5.1): implementation, evaluation, and projections of lightning and fire in future climates C. Whaley et al. 10.5194/gmd-17-7141-2024
- The role of the basic state in the climate response to future Arctic sea ice loss M. Sigmond & L. Sun 10.1088/2752-5295/ad44ca
- How well do Earth system models reproduce the observed aerosol response to rapid emission reductions? A COVID-19 case study R. Digby et al. 10.5194/acp-24-2077-2024
- Assessing CMIP6 uncertainties at global warming levels G. Evin et al. 10.1007/s00382-024-07323-x
- CanESM5-derived ocean wave projections — Considerations for coarse resolution climate models M. Casas-Prat et al. 10.1016/j.ocemod.2024.102430
- Global-scale gravity wave analysis methodology for the ESA Earth Explorer 11 candidate CAIRT S. Rhode et al. 10.5194/amt-17-5785-2024
Latest update: 20 Nov 2024
Short summary
We present a new activity which aims to organize the analysis of biases in the Canadian Earth System model (CanESM) in a systematic manner. Results of this “Analysis for Development” (A4D) activity includes a new CanESM version, CanESM5.1, which features substantial improvements regarding the simulation of dust and stratospheric temperatures, a second CanESM5.1 variant with reduced climate sensitivity, and insights into potential avenues to reduce various other model biases.
We present a new activity which aims to organize the analysis of biases in the Canadian Earth...
Special issue