Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-471-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-20-471-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Feb 2020
Research article |
| 19 Feb 2020
| 19 Feb 2020
A joint probabilistic index for objective drought identification: the case study of Haiti
Beatrice Monteleone
CORRESPONDING AUTHOR
Scuola Universitaria Superiore IUSS Pavia, Pavia, 27100, Italy
Brunella Bonaccorso
Department of Engineering, University of Messina, St Agata, Messina, 98166, Italy
Mario Martina
Scuola Universitaria Superiore IUSS Pavia, Pavia, 27100, Italy
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Cited
23 citations as recorded by crossref.
- Quantitative analysis of input data uncertainty for SPI and SPEI in Peninsular Malaysia based on the bootstrap method Y. Tan et al. https://doi.org/10.1080/02626667.2023.2232348
- Spatial-Temporal Assessment of Drought in Hoa Vang district, Da Nang City, Vietnam Using Remote Sensing and Google Earth Engine L. Ngoc Hanh et al. https://doi.org/10.1088/1755-1315/1345/1/012013
- Enhancing Drought Identification and Characterization in the Tensift River Basin (Morocco): A Comparative Analysis of Data and Tools M. Naim et al. https://doi.org/10.3390/hydrology12120334
- Remote Sensing and GIS Assessment of Drought Dynamics in the Ukrina River Basin, Bosnia and Herzegovina L. Sabljić et al. https://doi.org/10.3390/atmos17020124
- Drought Analysis Methods: A Multidisciplinary Review with Insights on Key Decision-Making Factors in Method Selection A. Ahady et al. https://doi.org/10.3390/w17152248
- Quantifying agricultural drought in the Koshi River basin through soil moisture simulation P. Banjara et al. https://doi.org/10.1016/j.ejrh.2024.102132
- Quantification of interactions among agricultural drought indices within Köppen–Geiger climate zones in Bangladesh S. Osmani et al. https://doi.org/10.1016/j.agwat.2024.108952
- Evaluation Study of Ecological Resilience in Southern Red Soil Mining Areas Considering Rare Earth Mining Process J. Zhang et al. https://doi.org/10.3390/su15032258
- Vegetation drought risk assessment based on the multi-weight methods in Northwest China H. Chen et al. https://doi.org/10.1007/s10661-023-11747-z
- Future drought patterns in Southwest China: A CMIP6-based analysis using multiple drought indices Y. Long et al. https://doi.org/10.1016/j.ejrh.2025.102702
- Input subsidies, credit constraints, and expectations of future transfers: Evidence from Haiti J. Gignoux et al. https://doi.org/10.1111/ajae.12337
- Integrating climate indices and land use practices for comprehensive drought monitoring in Syria: Impacts and implications S. Mathbout et al. https://doi.org/10.1016/j.indic.2025.100631
- Innovative data clustering method improves drought prediction in heterogeneous landscapes using GEE-derived remote sensing indices H. Heydari et al. https://doi.org/10.1016/j.rsase.2023.101112
- Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model data J. Gaona et al. https://doi.org/10.5194/nhess-22-3461-2022
- Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B. Monteleone et al. https://doi.org/10.1007/s11069-022-05791-0
- Space–time variability in soil moisture droughts in the Himalayan region S. Nepal et al. https://doi.org/10.5194/hess-25-1761-2021
- Facing climate change complexity: microclimate and distribution range dynamics revealed by long-term monitoring of the kaiser mountain newt (Neurergus kaiseri) in Iran P. Karami et al. https://doi.org/10.1016/j.envc.2026.101444
- An improved global vegetation health index dataset in detecting vegetation drought J. Zeng et al. https://doi.org/10.1038/s41597-023-02255-3
- Improving the drought monitoring capability of VHI at the global scale via ensemble indices for various vegetation types from 2001 to 2018 J. Zeng et al. https://doi.org/10.1016/j.wace.2022.100412
- Developing stage-specific drought vulnerability curves for maize: The case study of the Po River basin B. Monteleone et al. https://doi.org/10.1016/j.agwat.2022.107713
- Drought frequency characteristics of China, 1981-2019, based on the vegetation health index J. Zeng et al. https://doi.org/10.3354/cr01616
- High-resolution monitoring of intra-seasonal agricultural drought using sentinel-2 and machine learning across bimodal growing seasons in Kenya S. Mirmazloumi et al. https://doi.org/10.1016/j.ecolind.2026.114790
- Preface: Recent advances in drought and water scarcity monitoring, modelling, and forecasting B. Bonaccorso et al. https://doi.org/10.5194/nhess-22-1857-2022
23 citations as recorded by crossref.
- Quantitative analysis of input data uncertainty for SPI and SPEI in Peninsular Malaysia based on the bootstrap method Y. Tan et al. https://doi.org/10.1080/02626667.2023.2232348
- Spatial-Temporal Assessment of Drought in Hoa Vang district, Da Nang City, Vietnam Using Remote Sensing and Google Earth Engine L. Ngoc Hanh et al. https://doi.org/10.1088/1755-1315/1345/1/012013
- Enhancing Drought Identification and Characterization in the Tensift River Basin (Morocco): A Comparative Analysis of Data and Tools M. Naim et al. https://doi.org/10.3390/hydrology12120334
- Remote Sensing and GIS Assessment of Drought Dynamics in the Ukrina River Basin, Bosnia and Herzegovina L. Sabljić et al. https://doi.org/10.3390/atmos17020124
- Drought Analysis Methods: A Multidisciplinary Review with Insights on Key Decision-Making Factors in Method Selection A. Ahady et al. https://doi.org/10.3390/w17152248
- Quantifying agricultural drought in the Koshi River basin through soil moisture simulation P. Banjara et al. https://doi.org/10.1016/j.ejrh.2024.102132
- Quantification of interactions among agricultural drought indices within Köppen–Geiger climate zones in Bangladesh S. Osmani et al. https://doi.org/10.1016/j.agwat.2024.108952
- Evaluation Study of Ecological Resilience in Southern Red Soil Mining Areas Considering Rare Earth Mining Process J. Zhang et al. https://doi.org/10.3390/su15032258
- Vegetation drought risk assessment based on the multi-weight methods in Northwest China H. Chen et al. https://doi.org/10.1007/s10661-023-11747-z
- Future drought patterns in Southwest China: A CMIP6-based analysis using multiple drought indices Y. Long et al. https://doi.org/10.1016/j.ejrh.2025.102702
- Input subsidies, credit constraints, and expectations of future transfers: Evidence from Haiti J. Gignoux et al. https://doi.org/10.1111/ajae.12337
- Integrating climate indices and land use practices for comprehensive drought monitoring in Syria: Impacts and implications S. Mathbout et al. https://doi.org/10.1016/j.indic.2025.100631
- Innovative data clustering method improves drought prediction in heterogeneous landscapes using GEE-derived remote sensing indices H. Heydari et al. https://doi.org/10.1016/j.rsase.2023.101112
- Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model data J. Gaona et al. https://doi.org/10.5194/nhess-22-3461-2022
- Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B. Monteleone et al. https://doi.org/10.1007/s11069-022-05791-0
- Space–time variability in soil moisture droughts in the Himalayan region S. Nepal et al. https://doi.org/10.5194/hess-25-1761-2021
- Facing climate change complexity: microclimate and distribution range dynamics revealed by long-term monitoring of the kaiser mountain newt (Neurergus kaiseri) in Iran P. Karami et al. https://doi.org/10.1016/j.envc.2026.101444
- An improved global vegetation health index dataset in detecting vegetation drought J. Zeng et al. https://doi.org/10.1038/s41597-023-02255-3
- Improving the drought monitoring capability of VHI at the global scale via ensemble indices for various vegetation types from 2001 to 2018 J. Zeng et al. https://doi.org/10.1016/j.wace.2022.100412
- Developing stage-specific drought vulnerability curves for maize: The case study of the Po River basin B. Monteleone et al. https://doi.org/10.1016/j.agwat.2022.107713
- Drought frequency characteristics of China, 1981-2019, based on the vegetation health index J. Zeng et al. https://doi.org/10.3354/cr01616
- High-resolution monitoring of intra-seasonal agricultural drought using sentinel-2 and machine learning across bimodal growing seasons in Kenya S. Mirmazloumi et al. https://doi.org/10.1016/j.ecolind.2026.114790
- Preface: Recent advances in drought and water scarcity monitoring, modelling, and forecasting B. Bonaccorso et al. https://doi.org/10.5194/nhess-22-1857-2022
Saved (final revised paper)
Latest update: 03 Jun 2026
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.
This study proposes a new drought index that combines meteorological and agricultural drought...
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