Changes in the spatial variability of extreme climate characteristics across the Sabarmati River basin: Past and future

• Baseline and projected changes in twenty extreme climate indices are evaluated for a semi-arid river basin. • Sporadic instances of extreme rainfall are observed, which could result in flash floods and accelerate soil erosion . • SRB is expected to experience severe heat waves in the 21st century. • Higher anthropogenic warming levels and variability predicted. • SRB will experience hydro-climatic shift to wetter and warmer climate in the future. Climate change significantly impacts the global and regional hydrological dynamics, consequently altering the climate extremes. Through a comprehensive analysis, this study presents how the spatial variability of climate extremes is changing in major west-flowing Sabarmati River basin (SRB) in India, due to a gradually warming climate. A methodological framework to assess joint variability and temporal evolution of climate extremes for a semi-arid, water-scarce, and densely populated region, using baseline and future datasets is developed. Here, the statistically downscaled climate projections of five general circulation models (GCMs) of the coupled model intercomparison project (CMIP5) under two representative concentration pathway (RCP) scenarios are analyzed for the SRB. The study performs robust statistical analyses to assess the projected (2020–2100) changes with reference to the baseline (1951–2019) period using a multi-model mean ensemble approach. The distributional changes in climate extremes are evaluated using non-parametric kernel density estimates and the Mann-Whitney test. The individual and joint variability of rainfall and temperature indices is investigated using correlation and principal component analysis. The results show that the SRB will experience a wetter and warmer climate in the future, with increased frequency and intensity of extreme events such as heat waves, flash floods, and droughts. Further, the heat waves may likely intensify, while the cold waves would subside by the end of 21st century. A strong dependency between the rainfall and temperature extremes is detected in the SRB under higher levels of anthropogenic warming (i.e., RCP8.5) compared to the RCP4.5 and baseline period, indicating a sign of global warming in the far future. The results urge the need for immediate and effective policy actions to reduce climate change impacts for sustainable development in the basin.

Authors

Institutions

Publication Details

Journal
Gondwana Research
Published
2025-04-21
DOI
https://doi.org/10.1016/j.gr.2025.03.016
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Changes in the spatial variability of extreme climate characteristics across the Sabarmati River basin: Past and future

P. L. Patel, Priyank J. Sharma, Alka Sharma
2 citations
Gondwana Research
Climate variability and models
2.21
article

Changes in the spatial variability of extreme climate characteristics across the Sabarmati River basin: Past and future

P. L. Patel, Priyank J. Sharma, Alka Sharma
article en
2 citations

Abstract

• Baseline and projected changes in twenty extreme climate indices are evaluated for a semi-arid river basin. • Sporadic instances of extreme rainfall are observed, which could result in flash floods and accelerate soil erosion . • SRB is expected to experience severe heat waves in the 21st century. • Higher anthropogenic warming levels and variability predicted. • SRB will experience hydro-climatic shift to wetter and warmer climate in the future. Climate change significantly impacts the global and regional hydrological dynamics, consequently altering the climate extremes. Through a comprehensive analysis, this study presents how the spatial variability of climate extremes is changing in major west-flowing Sabarmati River basin (SRB) in India, due to a gradually warming climate. A methodological framework to assess joint variability and temporal evolution of climate extremes for a semi-arid, water-scarce, and densely populated region, using baseline and future datasets is developed. Here, the statistically downscaled climate projections of five general circulation models (GCMs) of the coupled model intercomparison project (CMIP5) under two representative concentration pathway (RCP) scenarios are analyzed for the SRB. The study performs robust statistical analyses to assess the projected (2020–2100) changes with reference to the baseline (1951–2019) period using a multi-model mean ensemble approach. The distributional changes in climate extremes are evaluated using non-parametric kernel density estimates and the Mann-Whitney test. The individual and joint variability of rainfall and temperature indices is investigated using correlation and principal component analysis. The results show that the SRB will experience a wetter and warmer climate in the future, with increased frequency and intensity of extreme events such as heat waves, flash floods, and droughts. Further, the heat waves may likely intensify, while the cold waves would subside by the end of 21st century. A strong dependency between the rainfall and temperature extremes is detected in the SRB under higher levels of anthropogenic warming (i.e., RCP8.5) compared to the RCP4.5 and baseline period, indicating a sign of global warming in the far future. The results urge the need for immediate and effective policy actions to reduce climate change impacts for sustainable development in the basin.

Gondwana ResearchVol. 143
Indian Institute of Management Indore (IN), Sardar Vallabhbhai National Institute of Technology Surat (IN), Indian Institute of Technology Indore (IN)
Ministry of Jal Shakti
Climate action
Openalex Percentile: Top 14%
Climate variability and models
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.