ArticleScientific data2025
Multiscale drought dataset for the Greater Antilles: a resource for environmental and adaptation studies.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Multiscale drought dataset for the Greater Antilles: a resource for environmental and adaptation studies.Scientific data · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
This study presents a multi-drought metric dataset based on the Standardized Precipitation Index (SPI) for the Greater Antilles, covering Cuba, Jamaica, Puerto Rico and La Española. The SPI was derived from high-resolution (0.1°) Multi-Source Weighted-Ensemble Precipitation (MSWEP) precipitation data for the 1980-2023 period. The MSWEP precipitation and SPI datasets were validated against observational and reanalysis datasets, providing good relationships. Temporal and spatial drought conditions were identified for the SPI temporal scales from 1 to 24 SPI temporal scales, while drought episodes were identified for 1, 3, 6, 12, 18 and 24 temporal scales, and characterised according to their duration, severity, affected area, persistence, onset speed, and recovery. A source-sink moisture analysis was also performed to support the attribution of dry conditions. We demonstrate possible uses of the database, and its consistency in representing past drought events that caused severe damage. Therefore, it proves to be a practical tool for understanding the phenomenon of drought in the Caribbean, managing water resources, agricultural development, and many other sectors.
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Registered trials
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