Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2419-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-2419-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Indicator-to-impact links to help improve agricultural drought preparedness in Thailand
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Michael Eastman
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Met Office, Exeter, United Kingdom
Eugene Magee
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Lucy J. Barker
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Thomas Chitson
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Chaiwat Ekkawatpanit
Department of Civil Engineering, King Mongkut's University of
Technology Thonburi, Bangkok, Thailand
Daniel Goodwin
School of Social Sciences, University of Tasmania, Hobart, Australia
School of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom
Jamie Hannaford
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Irish Climate Analysis and Research UnitS (ICARUS), Maynooth
University, Maynooth, Ireland
Ian Holman
School of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom
Liwa Pardthaisong
Department of Geography, Faculty of Social Sciences, Chiang Mai
University, Chiang Mai, Thailand
Simon Parry
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Dolores Rey Vicario
School of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom
Supattra Visessri
Department of Water Resources Engineering, Faculty of Engineering,
Chulalongkorn University, Bangkok, Thailand
Disaster and Risk Management Information Systems Research Unit,
Chulalongkorn University, Bangkok, Thailand
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Total article views: 3,545 (including HTML, PDF, and XML)
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Cited
10 citations as recorded by crossref.
- Integrated WEAP–Hippopotamus Optimization Framework for Climate-Resilience Reservoir Operation: A Case Study of Ubolrat Reservoir, Thailand H. Prasanchum et al. https://doi.org/10.3390/w18040477
- Advancing basin-scale drought monitoring: Development of a regional combined drought index using precipitation, soil moisture, and vegetation data A. Abebe et al. https://doi.org/10.1016/j.agwat.2025.109734
- Water Scarcity Risk Assessment for Multi-Administrative Units in Agricultural Watersheds Using Integrated QSWAT–WEAP and GIS-Based Approach J. Supakosol et al. https://doi.org/10.3390/su18041932
- Predictive drivers and transferability of multi-scale machine learning based crop yield prediction under drought across European and Asian climates H. Sahu et al. https://doi.org/10.1016/j.agwat.2026.110254
- Stakeholder perceptions of drought resilience using government drought compensation in Thailand R. Chengot et al. https://doi.org/10.1016/j.ijdrr.2025.105365
- Toward early warning of drought impacts: a framework for predicting drought impacts in the UK B. Bulut et al. https://doi.org/10.5194/nhess-26-1515-2026
- Land use, land cover changes and expansion of artificial reservoirs in Eastern Thailand: implications for agriculture and vegetation drought reduction C. Nguyen et al. https://doi.org/10.1007/s10661-024-13151-7
- Exploring drought hazard, vulnerability, and related impacts on agriculture in Brandenburg F. Brill et al. https://doi.org/10.5194/nhess-24-4237-2024
- Evaluation of machine learning approaches for large-scale agricultural drought forecasts to improve monitoring and preparedness in Brazil J. Gallear et al. https://doi.org/10.5194/nhess-25-1521-2025
- Impact assessment of agricultural droughts on water use efficiency in different climatic regions of Punjab Province Pakistan using MODIS time series imagery M. Farhan et al. https://doi.org/10.1002/hyp.15232
10 citations as recorded by crossref.
- Integrated WEAP–Hippopotamus Optimization Framework for Climate-Resilience Reservoir Operation: A Case Study of Ubolrat Reservoir, Thailand H. Prasanchum et al. https://doi.org/10.3390/w18040477
- Advancing basin-scale drought monitoring: Development of a regional combined drought index using precipitation, soil moisture, and vegetation data A. Abebe et al. https://doi.org/10.1016/j.agwat.2025.109734
- Water Scarcity Risk Assessment for Multi-Administrative Units in Agricultural Watersheds Using Integrated QSWAT–WEAP and GIS-Based Approach J. Supakosol et al. https://doi.org/10.3390/su18041932
- Predictive drivers and transferability of multi-scale machine learning based crop yield prediction under drought across European and Asian climates H. Sahu et al. https://doi.org/10.1016/j.agwat.2026.110254
- Stakeholder perceptions of drought resilience using government drought compensation in Thailand R. Chengot et al. https://doi.org/10.1016/j.ijdrr.2025.105365
- Toward early warning of drought impacts: a framework for predicting drought impacts in the UK B. Bulut et al. https://doi.org/10.5194/nhess-26-1515-2026
- Land use, land cover changes and expansion of artificial reservoirs in Eastern Thailand: implications for agriculture and vegetation drought reduction C. Nguyen et al. https://doi.org/10.1007/s10661-024-13151-7
- Exploring drought hazard, vulnerability, and related impacts on agriculture in Brandenburg F. Brill et al. https://doi.org/10.5194/nhess-24-4237-2024
- Evaluation of machine learning approaches for large-scale agricultural drought forecasts to improve monitoring and preparedness in Brazil J. Gallear et al. https://doi.org/10.5194/nhess-25-1521-2025
- Impact assessment of agricultural droughts on water use efficiency in different climatic regions of Punjab Province Pakistan using MODIS time series imagery M. Farhan et al. https://doi.org/10.1002/hyp.15232
Saved (final revised paper)
Latest update: 07 Jun 2026
Short summary
Droughts in Thailand are becoming more severe due to climate change. Understanding the link between drought impacts on the ground and drought indicators used in drought monitoring systems can help increase a country's preparedness and resilience to drought. With a focus on agricultural droughts, we derive crop- and region-specific indicator-to-impact links that can form the basis of targeted mitigation actions and an improved drought monitoring and early warning system in Thailand.
Droughts in Thailand are becoming more severe due to climate change. Understanding the link...
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