Assessing Regional-Scale Heterogeneity in Blue–green Water Availability under the 1.58c Global Warming Scenario
Abstract
The 2015 Paris Agreement outlined limiting global warming to 1.58C relative to the preindustrial levels, ne-cessitating the development of regional climate adaptation strategies. This requires a comprehensive understanding of how the 1.58C rise in global temperature would translate across different regions. However, its implications on critical agricultural components, particularly blue and green water, remains understudied. This study investigates these changes using a rice-growing semiarid region in central India. the aim of this study is to initiate a discussion on the regional response of blue–green water at specific warming levels. using different global climate models (GCMs) and shared socioeconomic pathways (SSPs), the study estimated the time frame for reaching the 1.58C warming level and subsequently investigated changes in regional precipitation, temperature, surface runoff, and blue–green water. the results reveal projected reduc-tions in precipitation and surface runoff by approximately 5%–15% and 10%–35%, respectively, along with decrease in green and blue water by approximately 12%–1% and 40%–10%, respectively, across different GCMs and SSPs. These findings highlight 1) the susceptibility of blue–green water to the 1.58C global warming level, 2) the narrow time frame available for the region to develop the adaptive strategies, 3) the influence of warm semiarid climate on the blue–green water dynamics, and 4) the uncertainty associated with regional assessment of a specific warming level. This study provides new insights for shaping food security strategies over highly vulnerable semiarid regions and is expected to serve as a refer-ence for other regional blue/green water assessment studies.
Recommended Citation
S. Tyagi et al., "Assessing Regional-Scale Heterogeneity in Blue–green Water Availability under the 1.58c Global Warming Scenario," Journal of Applied Meteorology and Climatology, vol. 63, no. 4, pp. 553 - 574, American Meteorological Society, Apr 2024.
The definitive version is available at https://doi.org/10.1175/JAMC-D-23-0083.1
Department(s)
Biological Sciences
Keywords and Phrases
Agriculture; Climate models; Climate variability; Hydrologic models; Regional effects; Water resources
International Standard Serial Number (ISSN)
1558-8432; 1558-8424
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2025 American Meteorological Society, All rights reserved.
Publication Date
01 Apr 2024
Comments
Department of Science and Technology, Ministry of Science and Technology, India, Grant None