Javascript must be enabled to continue!
Meso-Scale Spatiotemporal Analysis of Future Drought Characteristics in Northern Thailand Under Climate Change and Variability
View through CrossRef
Abstract
This study examines the spatio-temporal characteristics of drought under climate change and variability in northern Thailand, located within the Southeast Asian monsoon region, using the 3-month standardized precipitation evapotranspiration index (SPEI-3). The analysis is conducted utilizing a high-resolution gridded dataset derived from the statistical downscaling of an optimally selected ensemble of five global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6), under the SSP2-4.5 and SSP5-8.5 scenarios. The study spans the historical period (1981–2014) and three future periods: near future (2026–2050), mid-future (2051–2075), and far future (2076–2100). The results indicate increasing trends in precipitation, mean temperature, and potential evapotranspiration across both scenarios, with more pronounced changes under SSP5-8.5. The SPEI-3 index reveals a decreasing trend in drought severity throughout the 21st century, with the most significant reductions projected for the far future under SSP5-8.5. Spatial analysis found distinctly decrease drought for the far future in Southwest and West of Northern Thailand under SSP2-4.5 and SSP5-8.5, respectively. However, yearly variations are different in different areas. In the far future under SSP2-4.5, yearly variations increase in the Northeast but decrease in the Southeast. Under SSP5-8.5, yearly variations increase in the central region but decrease in the Northern and Southeast areas. Spatial variability analysis using spatial SD shows a decrease in the near future but an increase in the far future. Meanwhile, future drought frequency and duration are expected to decline relative to the historical baseline, though certain areas may experience localized increases. Drought peaks demonstrate scenario-dependent variations. Under SSP2-4.5, the highest drought severity is projected in the far future for upper northern Thailand, whereas SSP5-8.5 indicates peak severity in the near future for lower northern Thailand. Significant spatial differences in drought characteristics were observed, underscoring the importance of accounting for local mesoscale climatic effects and climate variability in drought studies. These findings offer critical insights into future drought conditions in northern Thailand, emphasizing the need for policymakers to develop and implement targeted adaptation measures to address climate change's impacts effectively.
Springer Science and Business Media LLC
Title: Meso-Scale Spatiotemporal Analysis of Future Drought Characteristics in Northern Thailand Under Climate Change and Variability
Description:
Abstract
This study examines the spatio-temporal characteristics of drought under climate change and variability in northern Thailand, located within the Southeast Asian monsoon region, using the 3-month standardized precipitation evapotranspiration index (SPEI-3).
The analysis is conducted utilizing a high-resolution gridded dataset derived from the statistical downscaling of an optimally selected ensemble of five global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6), under the SSP2-4.
5 and SSP5-8.
5 scenarios.
The study spans the historical period (1981–2014) and three future periods: near future (2026–2050), mid-future (2051–2075), and far future (2076–2100).
The results indicate increasing trends in precipitation, mean temperature, and potential evapotranspiration across both scenarios, with more pronounced changes under SSP5-8.
5.
The SPEI-3 index reveals a decreasing trend in drought severity throughout the 21st century, with the most significant reductions projected for the far future under SSP5-8.
5.
Spatial analysis found distinctly decrease drought for the far future in Southwest and West of Northern Thailand under SSP2-4.
5 and SSP5-8.
5, respectively.
However, yearly variations are different in different areas.
In the far future under SSP2-4.
5, yearly variations increase in the Northeast but decrease in the Southeast.
Under SSP5-8.
5, yearly variations increase in the central region but decrease in the Northern and Southeast areas.
Spatial variability analysis using spatial SD shows a decrease in the near future but an increase in the far future.
Meanwhile, future drought frequency and duration are expected to decline relative to the historical baseline, though certain areas may experience localized increases.
Drought peaks demonstrate scenario-dependent variations.
Under SSP2-4.
5, the highest drought severity is projected in the far future for upper northern Thailand, whereas SSP5-8.
5 indicates peak severity in the near future for lower northern Thailand.
Significant spatial differences in drought characteristics were observed, underscoring the importance of accounting for local mesoscale climatic effects and climate variability in drought studies.
These findings offer critical insights into future drought conditions in northern Thailand, emphasizing the need for policymakers to develop and implement targeted adaptation measures to address climate change's impacts effectively.
Related Results
Climate and Culture
Climate and Culture
Climate is, presently, a heatedly discussed topic. Concerns about the environmental, economic, political and social consequences of climate change are of central interest in academ...
Meteorological Drought Variability over Africa from Multisource Datasets
Meteorological Drought Variability over Africa from Multisource Datasets
This study analyses the spatiotemporal variability of meteorological drought over Africa and its nine climate subregions from an ensemble of 19 multisource datasets (gauge-based, s...
Comparison of Flash Drought and Traditional Drought on Characteristics and Driving Forces in Xinjiang
Comparison of Flash Drought and Traditional Drought on Characteristics and Driving Forces in Xinjiang
In the context of climate warming, flash drought has become increasingly frequent, posing significant threats to agriculture, ecosystems, and the environment. Xinjiang, located in ...
Climate change modeling for water resources management : Tana Sub-Basin, Ethiopia
Climate change modeling for water resources management : Tana Sub-Basin, Ethiopia
This study, conducted in the Tana Sub-basin, Ethiopia, aimed to model the impact of climate
change on water resources management. The Soil and Water Assessment Tool (SWAT), SPI
gen...
A Synergistic Imperative: An Integrated Policy and Education Framework for Navigating the Climate Nexus
A Synergistic Imperative: An Integrated Policy and Education Framework for Navigating the Climate Nexus
Climate change acts as a systemic multiplier of threats, exacerbating interconnected global crises that jeopardize food security, biodiversity, and environmental health. These chal...
Vegetation response to extreme drought events in northern Italy
Vegetation response to extreme drought events in northern Italy
The increase in drought conditions is one of the main consequences of climatic change, that affects both natural and socioeconomic systems. Northern Italy is historically rich in w...
A Statistical Method for Categorical Drought Prediction Based on NLDAS-2
A Statistical Method for Categorical Drought Prediction Based on NLDAS-2
AbstractDrought is a slowly varying natural phenomenon and may have wide impacts on a range of sectors. Tremendous efforts have therefore been devoted to drought monitoring and pre...
Cascading effects of drought in Xilin Gol temperate grassland, China
Cascading effects of drought in Xilin Gol temperate grassland, China
AbstractIn the context of global climate change, the cascading risk of compound natural hazards is becoming increasingly prominent. Taking Xilin Gol grassland as study area, we use...


