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Journal of Renewable and Sustainable Energy
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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High-resolution climate model datasets for energy infrastructure planning in a renewable-dependent future

Authors: Robert S. Arthur; Jean-Christophe Golaz; Hsiang-He Lee; Jessica Wert; Matthew Signorotti; Jean-Paul Watson;

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

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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