Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-471-2020
https://doi.org/10.5194/nhess-20-471-2020
Research article
 | 
19 Feb 2020
Research article |  | 19 Feb 2020

A joint probabilistic index for objective drought identification: the case study of Haiti

Beatrice Monteleone, Brunella Bonaccorso, and Mario Martina

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Latest update: 18 Apr 2024
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Short summary
This study proposes a new drought index that combines meteorological and agricultural drought aspects. The index is scalable, transferable all over the globe, can be updated in near real time and is a remote-sensing product, since only satellite-based datasets were employed. A set of rules to objectively identify drought events is also implemented. We found that the set of rules, applied together with the new index, outperformed conventional drought indices in identifying droughts in Haiti.
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