High-resolution climate model datasets for energy infrastructure planning in a renewable-dependent future
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.
Authors
- Jessica L. Wert (ORCID: https://orcid.org/0000-0003-1875-9552)
- Jean‐Christophe Golaz (ORCID: https://orcid.org/0000-0003-1616-5435)
- Jean‐Paul Watson (ORCID: https://orcid.org/0000-0001-6026-8875)
- Robert S. Arthur (ORCID: https://orcid.org/0000-0002-3861-4185)
- Hsiang‐He Lee (ORCID: https://orcid.org/0000-0002-5140-7324)
- Matthew V. Signorotti
Institutions
- Lawrence Livermore National Laboratory (US)
Publication Details
- Journal
- Journal of Renewable and Sustainable Energy
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1063/5.0254086
- Citations
- 2
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 2.21
Funders
- Laboratory Directed Research and Development
- Lawrence Livermore National Laboratory