Assessing sensitivities of climate model weighting to multiple methods, variables, and domains in the south-central United States

Wootten, Adrienne M.; Massoud, Elias C.; Waliser, Duane E.; Lee, Huikyo

doi:https://doi.org/10.5194/esd-14-121-2023

Articles | Volume 14, issue 1

https://doi.org/10.5194/esd-14-121-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esd-14-121-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 1

Research article

|

03 Feb 2023

Research article |

| 03 Feb 2023

Assessing sensitivities of climate model weighting to multiple methods, variables, and domains in the south-central United States

Adrienne M. Wootten, Elias C. Massoud, Duane E. Waliser, and Huikyo Lee

Supplement

https://doi.org/10.5194/esd-14-121-2023-supplement

Data sets

ESGF CoG CMIP5 Data Search https://esgf-node.llnl.gov/search/cmip5/

A spatially comprehensive, meteorological data set for Mexico, the U.S., and southern Canada (NCEI Accession 0129374) B. Livneh, T. J. Bohn, D. W. Pierce, F. Muñoz-Arriola, B.Nijssen, R. Vose, D. R. Cayan, and L. Brekke https://doi.org/10.7289/v5x34vf6

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Short summary

Climate projections and multi-model ensemble weighting are increasingly used for climate assessments. This study examines the sensitivity of projections to multi-model ensemble weighting strategies in the south-central United States. Model weighting and ensemble means are sensitive to the domain and variable used. There are numerous findings regarding the improvement in skill with model weighting and the sensitivity associated with various strategies.