An Optimal and Flexible Approach for Drought Quantification Based on Standardised Indices

ABSTRACT In this study we propose a novel approach to standardising drought indices that offers flexibility tailored to local conditions. This involves employing different probability distributions and the Akaike Information Criterion to identify the most appropriate distribution for each region and variable. Following this approach, our proposed methodology enhances the accuracy and comparability across different spatial and temporal scales, with improved representation of extreme drought events. Nonetheless, despite the increased computational requirements associated with this approach, the advantages are substantial. By enhancing accuracy, comparability and adaptability, it may improve drought monitoring and management practices. Moreover, the methodology provides a versatile framework for standardising a wide range of environmental variables beyond traditional drought indices, and software for calculations is provided ( https://github.com/lcsc/FlexDroughtIndex ). Overall, the findings of this study can advance drought assessments by providing an innovative and flexible methodology that addresses key limitations of current approaches.

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Publication Details

Journal
International Journal of Climatology
Published
2025-05-15
DOI
https://doi.org/10.1002/joc.8906
Citations
1
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
1.11

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An Optimal and Flexible Approach for Drought Quantification Based on Standardised Indices

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article

An Optimal and Flexible Approach for Drought Quantification Based on Standardised Indices

Fergus Reig, Luis Gimeno‐Sotelo, Iván Noguera, María Adell-Michavila, Amar Halifa‐Marín, Magí Franquesa, Fernando Domínguez‐Castro, Santiago Beguerı́a, Miguel Andres‐Martin, Ahmed El Kenawy, Sergio Martín Vicente-Serrano, César Azorín-Molina, Alex Crespillo, David Pérez‐Pajuelo
article en
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Abstract

ABSTRACT In this study we propose a novel approach to standardising drought indices that offers flexibility tailored to local conditions. This involves employing different probability distributions and the Akaike Information Criterion to identify the most appropriate distribution for each region and variable. Following this approach, our proposed methodology enhances the accuracy and comparability across different spatial and temporal scales, with improved representation of extreme drought events. Nonetheless, despite the increased computational requirements associated with this approach, the advantages are substantial. By enhancing accuracy, comparability and adaptability, it may improve drought monitoring and management practices. Moreover, the methodology provides a versatile framework for standardising a wide range of environmental variables beyond traditional drought indices, and software for calculations is provided ( https://github.com/lcsc/FlexDroughtIndex ). Overall, the findings of this study can advance drought assessments by providing an innovative and flexible methodology that addresses key limitations of current approaches.

International Journal of ClimatologyVol. 45(10)
Consejo Superior de Investigaciones Científicas (ES), University of Lisbon (PT), Generalitat Valenciana (ES), UK Centre for Ecology & Hydrology (GB), Centre d'Investigacions sobre Desertificació (ES), Instituto Pirenaico de Ecología (ES), Estación Experimental de Aula Dei (ES)
Ministerio de Ciencia, Innovación y Universidades, China Scholarship Council, Universidade de Vigo, Ministerio para la Transición Ecológica y el Reto Demográfico
Openalex Percentile: Top 24%
Hydrology and Drought Analysis
1.11
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