Multiscale drought dataset for the Greater Antilles: a resource for environmental and adaptation studies

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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Publication Details

Journal
Scientific Data
Published
2025-10-28
DOI
https://doi.org/10.1038/s41597-025-05992-9
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Multiscale drought dataset for the Greater Antilles: a resource for environmental and adaptation studies

Milica Stojanovic, Albenis Pérez‐Alarcón, Rogert Sorí, Luís Gimeno
Scientific Data
Hydrology and Drought Analysis
article

Multiscale drought dataset for the Greater Antilles: a resource for environmental and adaptation studies

Milica Stojanovic, Albenis Pérez‐Alarcón, Rogert Sorí, Luís Gimeno
article en

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.

Scientific DataVol. 12(1)
University of Lisbon (PT), Centro de Supercomputación de Galicia (ES), Universidade de Vigo (ES)
Ministerio de Ciencia, Innovación y Universidades, European Commission, Xunta de Galicia, Agencia Estatal de Investigación
Openalex Percentile: Top 71%
Hydrology and Drought Analysis
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