Articles | Volume 29, issue 5
https://doi.org/10.5194/hess-29-1379-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-1379-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
13 Mar 2025
Review article |
| 13 Mar 2025
| 13 Mar 2025
Drought research priorities, trends, and geographic patterns
Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Gohar Ghazaryan
Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
Michael Hagenlocher
United Nations University, Institute for Environment and Human Security (UNU-EHS), Platz der Vereinten Nationen 1, 53113 Bonn, Germany
Claas Nendel
Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
Andrea Toreti
European Commission, Joint Research Centre, Ispra, Italy
Ehsan Eyshi Rezaei
Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
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Cited
16 citations as recorded by crossref.
- Dry farming for resilience: productivity and physiological drivers of organic common bean production H. Hekkanen et al. https://doi.org/10.1007/s13165-026-00577-1
- Institutional Capacities for Drought Preparedness and Response in Umguza District in Zimbabwe Q. Mpala et al. https://doi.org/10.1177/00219096251384833
- Emerging technologies to multiscale drought risk assesment and modeling in the era of Big Earth Data and GeoAI A. Fentie & D. Mengistu https://doi.org/10.1007/s43621-026-03879-2
- A global scientometric analysis of artificial intelligence and geospatial technologies in water resources and land use research Y. Laalaoui et al. https://doi.org/10.1007/s42452-026-08794-9
- SWAT Model and Drought Indices: A Systematic Review of Progress, Challenges and Opportunities L. Martins et al. https://doi.org/10.3390/w18010041
- Genomic and Transcriptomic Insights into Stage-Specific Drought Resilience in Diverse Myanmar Rice Germplasm N. Naing et al. https://doi.org/10.1186/s12284-025-00877-2
- Nonuniform variations of drought driven by spatially heterogeneous climate changes Y. Sun et al. https://doi.org/10.1080/19475705.2026.2618473
- Forecasting of Macroclimatic Phases Through Stochastic Modeling and Machine Learning: Implications for Regional Hydrological Analysis F. Oñate-Valdivieso et al. https://doi.org/10.3390/w18111358
- From climate variability to water bankruptcy: The role of hydroclimatic extremes, climate vulnerability, and governance Y. Li https://doi.org/10.1016/j.pce.2026.104635
- Comparative Analysis Of Machine Learning Algorithms For Land Use And Land Cover Mapping: Case Study Of Berrechid-Settat Region, Morocco Y. Laalaoui et al. https://doi.org/10.24057/2071-9388-2025-3980
- Multi-indicator and probabilistic evaluation of drought and heat extremes over Pakistan using observed and satellite data S. Muntaha & M. Iqbal https://doi.org/10.1016/j.jastp.2026.106879
- Spatiotemporal Assessment of Drought Using Drought Indices in Google Earth Engine in the Awash Basin, Ethiopia B. Asefa et al. https://doi.org/10.1155/adme/9129156
- Influence of drought and salt stresses on the morpho-physiological and biochemical properties of in vitro seedlings of carob (Ceratonia siliqua L.) N. Makhloufi et al. https://doi.org/10.1007/s42535-025-01360-5
- A new method for assessing socioeconomic drought with climate-driven challenges: Temporal water demand-balance index Y. Wang et al. https://doi.org/10.1016/j.jclepro.2025.146355
- Propagation mechanisms of meteorological to hydrological events in inland river basins of Northwest China: Considering compound climate changes S. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134900
- Analysis of drought in upper Moulouya Basin (Morocco): a combination of drought indices, classic and innovative trend tests Z. Qadem et al. https://doi.org/10.1007/s00704-025-05699-2
16 citations as recorded by crossref.
- Dry farming for resilience: productivity and physiological drivers of organic common bean production H. Hekkanen et al. https://doi.org/10.1007/s13165-026-00577-1
- Institutional Capacities for Drought Preparedness and Response in Umguza District in Zimbabwe Q. Mpala et al. https://doi.org/10.1177/00219096251384833
- Emerging technologies to multiscale drought risk assesment and modeling in the era of Big Earth Data and GeoAI A. Fentie & D. Mengistu https://doi.org/10.1007/s43621-026-03879-2
- A global scientometric analysis of artificial intelligence and geospatial technologies in water resources and land use research Y. Laalaoui et al. https://doi.org/10.1007/s42452-026-08794-9
- SWAT Model and Drought Indices: A Systematic Review of Progress, Challenges and Opportunities L. Martins et al. https://doi.org/10.3390/w18010041
- Genomic and Transcriptomic Insights into Stage-Specific Drought Resilience in Diverse Myanmar Rice Germplasm N. Naing et al. https://doi.org/10.1186/s12284-025-00877-2
- Nonuniform variations of drought driven by spatially heterogeneous climate changes Y. Sun et al. https://doi.org/10.1080/19475705.2026.2618473
- Forecasting of Macroclimatic Phases Through Stochastic Modeling and Machine Learning: Implications for Regional Hydrological Analysis F. Oñate-Valdivieso et al. https://doi.org/10.3390/w18111358
- From climate variability to water bankruptcy: The role of hydroclimatic extremes, climate vulnerability, and governance Y. Li https://doi.org/10.1016/j.pce.2026.104635
- Comparative Analysis Of Machine Learning Algorithms For Land Use And Land Cover Mapping: Case Study Of Berrechid-Settat Region, Morocco Y. Laalaoui et al. https://doi.org/10.24057/2071-9388-2025-3980
- Multi-indicator and probabilistic evaluation of drought and heat extremes over Pakistan using observed and satellite data S. Muntaha & M. Iqbal https://doi.org/10.1016/j.jastp.2026.106879
- Spatiotemporal Assessment of Drought Using Drought Indices in Google Earth Engine in the Awash Basin, Ethiopia B. Asefa et al. https://doi.org/10.1155/adme/9129156
- Influence of drought and salt stresses on the morpho-physiological and biochemical properties of in vitro seedlings of carob (Ceratonia siliqua L.) N. Makhloufi et al. https://doi.org/10.1007/s42535-025-01360-5
- A new method for assessing socioeconomic drought with climate-driven challenges: Temporal water demand-balance index Y. Wang et al. https://doi.org/10.1016/j.jclepro.2025.146355
- Propagation mechanisms of meteorological to hydrological events in inland river basins of Northwest China: Considering compound climate changes S. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134900
- Analysis of drought in upper Moulouya Basin (Morocco): a combination of drought indices, classic and innovative trend tests Z. Qadem et al. https://doi.org/10.1007/s00704-025-05699-2
Saved (final revised paper)
Latest update: 05 Oct 2026
Short summary
Our global review of 130 000 peer-reviewed articles reveals that drought forecasting and plant genetics dominate drought research priorities. Using topic modelling, we traced evolving themes from 1901 to 2022, highlighting a shift from ecology to cutting-edge technologies. By applying unsupervised machine learning, we offer insights into how integrated approaches matter, guiding future priorities to strengthen drought resilience and to safeguard water resources.
Our global review of 130 000 peer-reviewed articles reveals that drought forecasting and plant...
