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zmlabe/SAI: First release of code for machine learning and ARISE-SAI-1.5

Name: zmlabe/SAI: First release of code for machine learning and ARISE-SAI-1.5
Keywords: climate variability, climate intervention, climate change, machine learning, climate models, regional climate, large ensembles

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 28 Mar 2023 English Publisher:Zenodo

Authors: Labe, Zachary M.; Barnes, Elizabeth A.; Hurrell, James W.;

doi: 10.5281/zenodo.7778268 , 10.5281/zenodo.7778267

zmlabe/SAI: First release of code for machine learning and ARISE-SAI-1.5

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Abstract

Code for exploratory data analysis and ANN architecture for: Labe, Z.M., E.A. Barnes, and J.W. Hurrell (2023). Identifying the regional emergence of climate patterns in the ARISE-SAI-1.5 simulations, Environmental Research Letters. https://doi.org/10.1088/1748-9326/acc81a

{"references": ["Labe, Z.M., E.A. Barnes, and J.W. Hurrell (2023). Identifying the regional emergence of climate patterns in the ARISE-SAI-1.5 simulations,\u00a0Environmental Research Letters.\u00a0https://doi.org/10.1088/1748-9326/acc81a"]}

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Related Organizations

Colorado State University
United States

Keywords

climate variability, climate intervention, climate change, machine learning, climate models, regional climate, large ensembles

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