A CMIP6 ensemble for downscaled monthly climate normals over North America

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Authors

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

Abstract

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.

DOI

https://doi.org/10.31223/X5CK6Z

Subjects

Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Keywords

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

Dates

Published: 2021-07-01 12:01

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

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