Downscaling of Precipitation using Multiple Linear Regression over Rajasthan State POONAM MAHLA, 1 * A.K. LOHANI, 2 V. K. CHANDOLA, 3 ARADHANA THAKUR, 3 C.D. MISHRA 4 and APARAJITA SINGH 3 1 Department of Watershed Development and Soil Conservation, Laxmangarh, Sikar, Rajasthan, India. 2 National institute of hydrology, Jalvigyan bhawan, roorkee 247667, India. 3 Department of Farm Engineering, IAS, Banaras Hindu University, Varanasi, U.P., 221005, India. 4 Collage of agriculture, Fatehpur Shekhawati, SKNAU, Jobner, Rajasthan, India. Abstract Statistical downscaling method is mainly practiced to relate atmospheric circulation to surface variables for forecast and prediction of the regional climate. As we know in Rajasthan drought is foremost problem due to scanty of rainfall. The core objective of present study stands to prognosis rainfall variation also assess the recital of Multiple Linear Regression (MLR) to access the variation in rainfall. The data were analyzed using higher resolution atmospheric data which includes daily National Centers for Environmental Prediction (NCEP)/ National Center for Atmospheric Research (NCAR) reanalysis data and daily mean climate model result intended for A2 and B2 scenarios of the Hadley Centre Climate Model (HadCM3) model. The period from 1961-1990 used as base line due to availability of adequate period which are required to established a reliable climatology. Results of the study shows increasing trend of future precipitation intended for both A2 and B2 scenarios. From the study it has been found that MLR model is more superior to downscale precipitation in most districts under study area. Current World Environment www.cwejournal.org ISSN: 0973-4929, Vol. 14, No. (1) 2019, Pg. 68-98 CONTACT Poonam Mahla poonammahla11@gmail.com Department of Watershed Development and Soil Conservation, Laxmangarh, Sikar, Rajasthan, India. © 2018 The Author(s). Published by Enviro Research Publishers. This is an Open Access article licensed under a Creative Commons license: Attribution 4.0 International (CC-BY). Doi: http://dx.doi.org/10.12944/CWE.14.1.09 Article History Received: 22 November 18 Accepted: 28 April 2019 Keywords Downscaling; Precipitation; Scenarios; Temperature. Introduction The natural as well as socioeconomic variability of state Rajasthan which includes water resource management, agriculture, forestry, tourism etc. are highly infuenced by key component of hydrological cycle i.e. precipitation. Therefore, it is necessitated for predicting future precipitation change since it is an input for climate impact model to assess the consequences of global change in climate. GCMs under climate input model often found inadequate due to limited depiction of mesoscale atmospheric processes, topography and sea distribution. Besides,