On observed aridity changes over the semiarid regions of India in a warming climate
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In this study, a quantitative assessment of observed aridity variations over the semiarid regions of India is performed for the period 1951–2005 using a dimensionless ratio of annual precipitation (P) and potential evapotranspiration (PET), estimated from five different observed gridded precipitation data sets. The climatological values and changes of this aridity index are found to be sensitive to the choice of the precipitation observations. An assessment of P/PET estimated using the ensemble mean precipitation shows an increase in aridity over several semiarid regions of India, despite the sensitivity of P/PET variations across individual precipitation data sets. Our results indicate that precipitation variations over the semiarid regions of India are outpacing the changes in potential evapotranspiration and, thereby, influencing aridity changes in a significant manner. Our results further reveal a 10% expansion in the area of the semiarid regions during recent decades relative to previous decades, thus highlighting the need for better adaptation strategies and mitigation planning for the semiarid regions in India. The sensitivity of aridity index to multiple PET data sets can be an additional source of uncertainty and will be addressed in a future study.
The authors thank the Director, IITM for the support to carry out this research. IITM including CCCR is part of the Ministry of Earth Sciences, Government of India, New Delhi. The authors also acknowledge various data sets used in this study. This work was carried out under the Adaptation at Scale in Semi-Arid Regions (ASSAR) project. ASSAR is one of the five research programmes funded under the Collaborative Adaptation Research Initiative in Africa and Asia (CARIAA), with financial support from the UK Government’s Department for International Development (DfID) and the International Development Research Centre (IDRC), Canada.
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The views expressed in this work are those of the creators and do not necessarily represent those of DfID and IDRC or its Board of Governors.
- Berg A, Findell K, Lintner B, Giannini A, Seneviratne SI, van den Hurk B, Lorenz R, Pitman A, Hagemann S, Meier A, Cheruy F, Ducharne A, Malyshev S, Milly PCD (2016) Land-atmosphere feedbacks amplify aridity increase over land under global warming. Nat Clim Chang 6(9):869–874. https://doi.org/10.1038/nclimate3029 CrossRefGoogle Scholar
- Gao Y, Li X, Ruby L, Chen D, Xu J (2015) Aridity changes in the Tibetan Plateau in a warming climate. Environ Res Lett. https://doi.org/10.1088/1748-9326/10/3/034013
- Guhathakurta P, Rajeevan M (2006) Trends in the rainfall pattern over India. National climate Centre (NCC) Research Report No. 2, 1–23, India. Meteor. Department, Pune, 2006Google Scholar
- Holdridge LR (1967) Life zone ecology. Tropical Science left, 206 ppGoogle Scholar
- Jain SK, Kumar V (2012) Trend analysis of rainfall and temperature data for India. Curr Sci 102(1):37–49Google Scholar
- Kim J, Sanjay J, Mattmann C, Boustani M, Ramarao MVS, Krishnan R, Waliser D (2015) Uncertainties in estimating spatial and interannual variations in precipitation climatology in the India–Tibet region from multiple gridded precipitation datasets. Int J Climatol 35:4557–4573. https://doi.org/10.1002/joc.4306 CrossRefGoogle Scholar
- Lu JB, Sun G, McNulty SG, Amataya DM (2005) A comparison of six potential evapotranspiration methods for regional use in the Southeastern United States. J Am Water Resour Assoc 41:621–633. https://doi.org/10.1111/j.1752-1688.2005.tb03759.x CrossRefGoogle Scholar
- Lu X, Wang L, McCabe MF (2016) Elevated CO2 as a driver of global dryland greening. Sci. Rep. 6(1)Google Scholar
- Matin S, Behera MD (2017) Alarming rise in aridity in the Ganga river basin, India, in past 3.5 decades. Curr Sci 112(2):25Google Scholar
- Middleton NJ, Thomas DSG (1997) World Atlas of Desertification. 2nd ed. Wiley, 182 ppGoogle Scholar
- Pai DS, Latha S, Rajeevan M, Sreejith OP, Satbhai NS, Mukhopadhyay B (2014) Development of a new high spatial resolution (0.25×0.25) long period (1901–2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region. Mausam 65:1–18Google Scholar
- Raju BMK, Rao KV, Venkateswarlu B, Rao AVMS, Rama Rao CA, Rao VUM, Bapuji Rao B, Ravi Kumar N, Dhakar R, Swapna N, Latha P (2013) Revisiting climatic classification in India: a district-level analysis. Curr Sci 105:492–495Google Scholar
- Reynolds JF, Stafford Smith DM, Lambin EF, Turner BL, Mortimore M, Batterbury SPJ, Downing TE, Dowlatabadi H, Fernandez RJ, Herrick JE, Huber-Sannwald E, Jiang H, Leemans R, Lynam T, Maestre FT, Ayarza M, Walker B (2007) Global desertification: building a science for dryland development. Science 316:847–851CrossRefGoogle Scholar
- Schneider U, Becker A, Finger P, Meyer-Christoffer A, Ziese M, Rudolf B (2014) GPCC’s new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle. Theor Appl Climatol 115:15–40. https://doi.org/10.1007/s00704-013-0860-x CrossRefGoogle Scholar
- Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HK (2007) Climate Change, 2007: The physical science basis. Cambridge Univ. Press, CambridgeGoogle Scholar