A framework for detection and attribution of regional precipitation change: Application to the United States historical record:Application to the United States historical record

Risser, Mark D., Collins, William D. ORCID: https://orcid.org/0000-0002-4463-9848, Wehner, Michael F., O’Brien, Travis A., Paciorek, Christopher J., O’Brien, John P., Patricola, Christina M., Huang, Huanping, Ullrich, Paul A. and Loring, Burlen (2023) A framework for detection and attribution of regional precipitation change: Application to the United States historical record:Application to the United States historical record. Climate Dynamics, 60 (3-4). pp. 705-741. ISSN 0930-7575

Preview

PDF (s00382-022-06321-1) - Published Version Available under License Creative Commons Attribution. Download (6MB) | Preview

Abstract

Despite the emerging influence of anthropogenic climate change on the global water cycle, at regional scales the combination of observational uncertainty, large internal variability, and modeling uncertainty undermine robust statements regarding the human influence on precipitation. Here, we use output from global climate models in a perfect-data sense to develop a framework for conducting regional detection and attribution (D&A) for precipitation, starting with the contiguous United States (CONUS) where observational uncertainty is lower than in other regions. Our unified approach can simultaneously detect systematic trends in mean and extreme precipitation, attribute trends to anthropogenic forcings, compute the effects of forcings as a function of time, and map the effects of individual forcings. Model output is used to conduct a set of tests that yield a parsimonious representation for characterizing seasonal precipitation over the CONUS for the historical record (1900 to present day), which ensures our D&A is insensitive to structural uncertainty. Our framework is developed using synthetic data in a Pearl-causal perspective wherein causality can be identified using intervention-based simulations. While the hypothesis-based framework and accompanying generalized D&A formula we develop should be widely applicable, we include a strong caution that the hypothesis-guided simplification of the formula for the historical climatic record of CONUS as described in this paper will likely fail to hold in other geographic regions and under future warming.

Item Type:	Article
Additional Information:	Publisher Copyright: © 2022, The Author(s).
Uncontrolled Keywords:	anthropogenic aerosols,cmip6,damip,extreme precipitation,local impacts,natural variability,pearl causality,atmospheric science,sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/1900/1902
Faculty \ School:	Faculty of Science > School of Environmental Sciences
Related URLs:	https://www.scopus.com/pages/publication...
Depositing User:	LivePure Connector
Date Deposited:	13 Jul 2026 10:51
Last Modified:	19 Jul 2026 05:37
URI:	https://ueaeprints.uea.ac.uk/id/eprint/103829
DOI:	10.1007/s00382-022-06321-1

Downloads

Actions (login required)

View Item