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Zhang Q, Shen Z, Xu C-Y, Sun P, Hu P, He C (2019) A new statistical downscaling approach for
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N. S. Patil and R. S. Laddimath
report of Working Group I of the IPCC, technical summary. Report accepted by Working Group
I of the IPCC but not approved in detail and frequently asked questions: part of the Working
Group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate
Change. Intergovernmental Panel on Climate Change, New York
Surinaidu L, Bacon CGD, Pavelic P (2013) Agricultural groundwater management in the upper
Bhima Basin, India: current status and future scenarios. Hydrol Earth Syst Sci 17(2):507–517.
https://doi.org/10.5194/hess-17-507-2013
Tripathi S, Srinivas VV, Nanjundiah RS (2006) Downscaling of precipitation for climate change
scenarios: a support vector machine approach. J Hydrol 330(3–4):621–640
Udmale P, Ichikawa Y, Kiem A, Panda S (2014) Drought impacts and adaptation strategies for
agriculture and rural livelihood in the Maharashtra state of India. Open Agric J 8:41–47. https://
doi.org/10.2174/1874331501408010041
van Vuuren DP, Edmonds J, Kainuma M et al (2011) The representative concentration pathways: an
overview. Clim Change 109:5. https://doi.org/10.1007/s10584-011-0148-z
Venkateswarlu B, Singh AK (2015) Climate change adaptation and mitigation strategies in rainfed
agriculture. In: Climate change modelling, planning and policy for agriculture. Springer, New
Delhi, pp 1–11. https://doi.org/10.1007/978-81-322-2157-9_1
Wangsoh N, Watthayu W, Sukawat D (2017) A hybrid climate model for rainfall forecasting based
on combination of self-organizing map and analog method. Sains Malaysiana 46
(12):2541–2547. https://doi.org/10.17576/jsm-2017-4612-32
Wang J, Nathan R, Horne A, Peel MC, Wei Y, Langford J (2017) Evaluating four downscaling
methods for assessment of climate change impact on ecological indicators. Environ Model
Softw 96:68–82. https://doi.org/10.1016/j.envsoft.2017.06.016
Wilby RL, Wigley TML, Conway D, Jones PD, Hewitson BC, Main J, Wilks DS (1998) Statistical
downscaling of general circulation model output: a comparison of methods. Water Resour Res
34(11):2995–3008. https://doi.org/10.1029/98wr02577
Woldemeskel FM, Sharma A, Sivakumar B, Mehrotra R (2016) Quantification of precipitation and
temperature uncertainties simulated by CMIP3 and CMIP5 models. J Geophys Res Atmos 121
(1):3–17
Yu PS, Wang YC (2009) Impact of climate change on hydrological processes over a basin scale in
northern Taiwan. Hydrol Process Int J 23(25):3556–3568
Zhang Q, Shen Z, Xu C-Y, Sun P, Hu P, He C (2019) A new statistical downscaling approach for
global evaluation of the CMIP5 precipitation outputs: model development and application. Sci
Total Environ 690:1048. https://doi.org/10.1016/j.scitotenv.2019.06.310
38
N. S. Patil and R. S. Laddimath