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DOE OSTI · 2585274

High-resolution climate model datasets for energy infrastructure planning in a renewable-dependent future

Arthur, Robert S. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000238614185)·Golaz, Jean-Christophe [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000316165435)·Lee, Hsiang-He [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000251407324)·Wert, Jessica [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000318759552)·Signorotti, Matthew [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]·Watson, Jean-Paul [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000160268875)
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Abstract

Electrification and renewables deployment efforts are amplifying the interdependence of the climate and energy systems. Increases in climate model resolution, which is now approaching that of reanalysis datasets and operational weather forecast models, present a unique opportunity to use future climate projections for energy infrastructure planning. In this Perspective, we review recent developments in high-resolution climate modeling, which have been driven by increased computing power and advanced software tools. We then look ahead to discuss how high-resolution climate data can be used to plan for a renewable-dependent future, and envision a unified climate-energy model framework that captures the two-way feedbacks between these interdependent systems.

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Arthur, Robert S. [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000238614185), Golaz, Jean-Christophe [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000316165435), Lee, Hsiang-He [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000251407324), Wert, Jessica [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000318759552), Signorotti, Matthew [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)], Watson, Jean-Paul [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000160268875). 2025-05-22. High-resolution climate model datasets for energy infrastructure planning in a renewable-dependent future. https://doi.org/10.1063/5.0254086

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