Effect of Baseline Period on Quantification of Climate Extremes Over the United States

dc.contributor.authorThomas, Natalie
dc.contributor.authorCollow, Allison
dc.contributor.authorBosilovich, Michael G.
dc.contributor.authorDezfuli, Amin
dc.date.accessioned2024-05-06T15:05:58Z
dc.date.available2024-05-06T15:05:58Z
dc.date.issued2023-09-08
dc.description.abstractExtreme climate events are societally harmful and have increased in frequency and intensity in recent decades. Indices based on temperature and precipitation are a valuable way to quantify climate extremes. Certain indices are defined relative to percentiles, which are dependent on a climatological baseline period. In this study, indices computed using temperature and precipitation from the Modern Era Retrospective Analysis for Research and Applications, Version 2 are calculated using percentiles from three baseline periods: 1981–2010, 1991–2020 and 1981–2020. Updating the baseline period from 1981 to 2010 to 1991–2020 leads to significant changes in the quantification of temperature and precipitation extremes over the United States over 1980–2021. Using the later baseline period indicates more cold extremes, fewer warm extremes, and fewer but more intense precipitation extremes throughout the US, with regional variation. Changing the baseline period can mislead the public and decision makers, potentially undermining the appropriate response to climate-related health risks.
dc.description.sponsorshipThis work was made possible by NASA's Center for Climate Simulation and was supported by the Global Modeling and Assimilation Office (GMAO) National Climate Assessment (NCA) enabling tools project and the NASA Earth Science Research Program for Modeling, Anal-ysis, and Prediction (MAP). MERRA-2 data and the extreme indices discussed here are disseminated by the Goddard Earth Sciences Data Information and Services Center (GES DISC). We thank Dr. Robert Dunn and Dr. Colin Morice for constructive feedback on the paper. We also thank Randy Koster, Anthony DeAngelis, Siegfried Schubert, Young-Kwon Lim and Yehui Chang for helpful discussions.
dc.description.urihttps://onlinelibrary.wiley.com/doi/abs/10.1029/2023GL105204
dc.format.extent9 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m22dg7-kjgb
dc.identifier.citationThomas, Natalie P., Allison B. Marquardt Collow, Michael G. Bosilovich, and Amin Dezfuli. “Effect of Baseline Period on Quantification of Climate Extremes Over the United States.” Geophysical Research Letters 50, no. 17 (2023): e2023GL105204. https://doi.org/10.1029/2023GL105204.
dc.identifier.urihttps://doi.org/10.1029/2023GL105204
dc.identifier.urihttp://hdl.handle.net/11603/33618
dc.language.isoen
dc.publisherAGU
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.titleEffect of Baseline Period on Quantification of Climate Extremes Over the United States
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-6433-7257
dcterms.creatorhttps://orcid.org/0000-0002-3566-3889
dcterms.creatorhttps://orcid.org/0000-0003-3274-8542

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