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9 - The Future of Regional Downscaling

Published online by Cambridge University Press:  05 February 2021

Rao Kotamarthi ,
Katharine Hayhoe ,
Linda O. Mearns ,
Donald Wuebbles ,
Jennifer Jacobs  and
Jennifer Jurado
Rao Kotamarthi
Affiliation:
Argonne National Laboratory, Illinois
Katharine Hayhoe
Affiliation:
Texas Tech University
Linda O. Mearns
Affiliation:
National Center for Atmospheric Research, Boulder, Colorado
Donald Wuebbles
Affiliation:
University of Illinois, Urbana-Champaign
Jennifer Jacobs
Affiliation:
University of New Hampshire
Jennifer Jurado
Affiliation:
Environmental Planning and Community Resilience Division, Broward County, Florida
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Summary

What lies in the future of regional downscaling, and how will future developments advance the information available for impacts and policymaking analyses? Models and methods are constantly under development; what might users expect to become available over the next decades as computing resources reach and extend beyond exascale (over 100 times faster than the current fastest computers), and global climate model resolutions reach regional scales? What uncertainties will remain to be resolved, even with these advances? By its nature, much of this discussion is somewhat philosophical and this chapter does not include real-world case studies. Instead, it highlights specific ways assessments may be affected by future advances and discusses key areas of future development.

Keywords

downscalingRegional Earth System Modelsmachine learningcomputingstatistical downscalingmodeling extremesconvection resolvingensemblesapplication specifichigher-resolutionGCM
Type
Chapter
Information
Downscaling Techniques for High-Resolution Climate Projections
From Global Change to Local Impacts
 , pp. 157 - 165
Publisher: Cambridge University Press
Print publication year: 2021

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