A global flash drought inventory based on soil moisture volatility.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
04 Sep 2024
Historique:
received: 06 03 2024
accepted: 21 08 2024
medline: 5 9 2024
pubmed: 5 9 2024
entrez: 4 9 2024
Statut: epublish

Résumé

Flash droughts, characterized by rapid onset and development, present significant challenges to agriculture and climate mitigation strategies. Operational drought monitoring systems, based on precipitation, soil moisture deficits, or temperature anomalies, often fall short in timely detection of these events, underscoring the need for customized identification and monitoring indices that account for the rapidity of flash drought onset. Recognizing this need, this paper introduces a global flash drought inventory from 1990 to 2021 derived using the Soil Moisture Volatility Index (SMVI). Our work expands the application of the SMVI methodology, previously focused on the United States, to a global scale, providing a tool for understanding and predicting these rapidly developing phenomena. The dataset encompasses detailed event characteristics, including onset, duration, and severity, across diverse climate zones. By integrating atmospheric variables through their impact on soil moisture, the inventory offers a platform for analyzing the drivers and impacts of flash droughts, and serves as a large, consistent dataset for use in training and evaluating flash drought prediction models.

Identifiants

pubmed: 39232019
doi: 10.1038/s41597-024-03809-9
pii: 10.1038/s41597-024-03809-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

965

Subventions

Organisme : National Science Foundation (NSF)
ID : 1854902
Organisme : National Science Foundation (NSF)
ID : 1854902
Organisme : National Science Foundation (NSF)
ID : 1854902
Organisme : National Science Foundation (NSF)
ID : 1854902

Informations de copyright

© 2024. The Author(s).

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Auteurs

Mahmoud Osman (M)

Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA. mahosman01@gmail.com.
Irrigation and Hydraulics Department, Cairo University, Cairo, Egypt. mahosman01@gmail.com.

Benjamin Zaitchik (B)

Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA.

Jason Otkin (J)

Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Madison, WI, USA.

Martha Anderson (M)

Hydrology and Remote Sensing Laboratory, Agricultural Research Service, USDA, Maryland, MD, USA.

Classifications MeSH