A CMIP6 ensemble for downscaled monthly climate normals over North America

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Colin Raymond Mahony, Tongli Wang, Andreas Hamann , Alex J. Cannon 


Many studies of climate change impacts and adaptation use climate model projections downscaled at very high spatial resolution (~1km) but very low temporal resolution (20- to 30-year normals). These applications have model selection priorities that are distinct from analyses at high temporal resolution. Here, we select a 13-model CMIP6 ensemble designed for robust change-factor downscaling of monthly climate normals and describe its attributes in North America. The ensemble is representative of the distribution of equilibrium climate sensitivity and grid resolution in the CMIP6 generation. We provide rationale for a 9-member subset of the ensemble based on screening criteria and sequence these 9 models for selection of smaller ensembles for regional analysis. Although we have focused our documentation on North America, the 13-model ensemble is selected using global criteria and applicable to downscaling climate normals in other continents.




Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics


climate change, CMIP6, climate services, climate change, climate services, change-factor downscaling, model selection, change-factor downscaling, model selection


Published: 2021-07-01 12:01


CC BY Attribution 4.0 International

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