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Article

Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios

1
Department of Earth and Planetary Sciences, University of Allahabad, Prayagraj 211002, Uttar Pradesh, India
2
IBM Thomas J. Watson Research Centre, Yorktown Heights, NY 10598, USA
3
Climate Change Center, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
4
Nansen Environmental and Remote Sensing Centre, Bjerknes Centre for Climate Research, 5007 Bergen, Norway
*
Author to whom correspondence should be addressed.
Atmosphere 2023, 14(4), 725; https://doi.org/10.3390/atmos14040725
Submission received: 20 March 2023 / Revised: 16 April 2023 / Accepted: 16 April 2023 / Published: 17 April 2023
(This article belongs to the Section Climatology)

Abstract

This study presents a comprehensive analysis of extreme events, especially drought and wet events, spanning over the past years, evaluating their trends over time. An investigation of future projections under various scenarios such as SSP-126, SS-245, and SSP-585 for the near (2023–2048), mid (2049–2074), and far future (2075–2100) using the bias-corrected Coupled Model Intercomparisons Project 6 (CMIP6) multi-model ensemble method was also performed. The Standard Precipitation Index (SPI), a simple yet incredibly sensitive tool for measuring changes in drought, is utilized in this study, providing a valuable assessment of drought conditions across multiple timescales. The historical analysis shows that there is a significant increase in drought frequency in subdivisions such as East MP, Chhattisgarh, East UP, East Rajasthan, Tamil Nadu, and Rayalaseema over the past decades. Our findings from a meticulous examination of historical rainfall trends spanning from 1951 to 2022 show a noticeable decline in rainfall across various regions such as Uttar Pradesh, Chhattisgarh, Marathwada, and north-eastern states, with a concurrent increase in rainfall over areas such as Gujarat, adjoining regions of West MP and East Rajasthan, and South Interior Karnataka. The future projection portrays an unpredictable pattern of extreme events, including droughts and wet events, with indications that wet frequency is set to increase under extreme SSP scenarios, particularly over time, while highlighting the susceptibility of the northwest and south peninsula regions to a higher incidence of drought events in the near future. Analyzing the causes of the increase in drought frequency is crucial to mitigate its worst impacts, and recent experiences of drought consequences can help in effective planning and decision-making, requiring appropriate mitigation strategies in the vulnerable subdivisions.
Keywords: standard precipitation index; JJAS; Indian summer monsoon (ISM); CMIP6; GCM; SSP scenarios standard precipitation index; JJAS; Indian summer monsoon (ISM); CMIP6; GCM; SSP scenarios

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MDPI and ACS Style

Soni, A.K.; Tripathi, J.N.; Tewari, M.; Sateesh, M.; Singh, T. Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios. Atmosphere 2023, 14, 725. https://doi.org/10.3390/atmos14040725

AMA Style

Soni AK, Tripathi JN, Tewari M, Sateesh M, Singh T. Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios. Atmosphere. 2023; 14(4):725. https://doi.org/10.3390/atmos14040725

Chicago/Turabian Style

Soni, Anil Kumar, Jayant Nath Tripathi, Mukul Tewari, M. Sateesh, and Tarkeshwar Singh. 2023. "Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios" Atmosphere 14, no. 4: 725. https://doi.org/10.3390/atmos14040725

APA Style

Soni, A. K., Tripathi, J. N., Tewari, M., Sateesh, M., & Singh, T. (2023). Future Projection of Drought Risk over Indian Meteorological Subdivisions Using Bias-Corrected CMIP6 Scenarios. Atmosphere, 14(4), 725. https://doi.org/10.3390/atmos14040725

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