GRACE-based hydrological droughts are less frequent but more severe than meteorological droughts in global major basins
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Le résumé fourni par la source
Satellite observations from the Gravity Recovery and Climate Experiment and its follow-on mission (GRACE/-FO) enable an integrated monitoring of terrestrial water storage (TWS) dynamics, offering a novel perspective for hydrological drought assessment. Existing studies utilizing TWS data often rely on simplistic indices, limiting their diagnostic capability. To address this gap, we develop a Standardized Terrestrial Water Storage Index (STWSI) by optimizing probability distribution fitting across five parametric models (Beta, Johnson-SB, Gamma, Weibull, and Pearson Ⅲ) for monthly TWS changes in 40 globally distributed major river basins. Results indicate that the Johnson-SB distribution provides the optimal fit for STWSI construction in 34 basins, outperforming traditional Gamma/Pearson Ⅲ distributions used in meteorological drought indices (SPI/SPEI). Multi-scale comparisons (1- to 12-month) reveal significantly stronger correlations between STWSI and SPI/SPEI at longer timescales (R = 0.40–0.80 at 12 months) over global major basins. Crucially, STWSI detects hydrological droughts with lower frequency but longer duration and higher intensity than meteorological droughts across most basins, except for tropical basins (e.g., Amazon). At the moderate drought category and different time scales, the total basin area proportion detected by STWSI (44–54 %) is approximately twice that identified by meteorological indices (17–28 %). This divergence underscores the dominant control of long-term TWS depletion on hydrological drought genesis. Our findings establish STWSI as a transformative tool for monitoring composite hydrological droughts in a warming and changing climate.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- GRACE-based hydrological droughts are less frequent but more severe than meteorological droughts in global major basins
- Date Crossref
- 01/01/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Chinese Academy of Sciences pays non établi dans la noticeOrganisme public
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Institute of Geographic Sciences and Natural Resources Research pays non établi dans la noticeStructure de recherche
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University of Chinese Academy of Sciences pays non établi dans la noticeUniversité ou école supérieure
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Key Laboratory of Water Cycle and Related Land Surface Processes pays non établi dans la noticeStructure de recherche
Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research et University of Chinese Academy of Sciences, avec 1 autre affiliation.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.