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4 - Dynamical 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

Dynamical downscaling uses high-resolution regional climate models (RCMs) to bias-correct and downscale global climate model output.This chapter discusses the models and methods used in dynamical downscaling. It provides an overview of the basic physics used in RCMs, and how this is similar to and differs from that used in global models. It also discusses the methods and metrics used to evaluate RCMs, and how projections from RCMs can be used to assess climate impacts at the regional scale

Keywords

dynamical downscalinggrid resolutionsub-grid scalemodel outputscomputingensemblesmetricsmodel biasparameterizationsclimate impactsregional scalehigh-resolution output
Type
Chapter
Information
Downscaling Techniques for High-Resolution Climate Projections
From Global Change to Local Impacts
 , pp. 64 - 81
Publisher: Cambridge University Press
Print publication year: 2021

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