In this study, the statistical downscaling model (SDSM) is employed for downscaling the precipitation (PREC), maximum temperature (T max ) and minimum temperature (T min ) over Krishna River Basin (KRB). The Canadian Earth System Model, version 2 (CanESM2) General Circulation Model (GCM) outputs were considered as predictor variables. First, the SDSM is calibrated using 30-years (1961-1990) of data and subsequently validated for 15-years (1991-2005). Upon perceiving the satisfactory performance, the SDSM is further used for projecting the predictand variables (PRECP, T max and T min ) for the 21 st century considering three Representative Concentration Pathway (RCP) scenarios viz. RCP2.6, RCP4.5 and RCP8.5. The future period is divided into three 30-year time slices named epoch-1 (2011-2040), epoch-2 (2041-2070) and epoch-3 (2071-2100) respectively. Further, 1976-2005 is considered as baseline period and all the future results are compared with this data. The results were analysed at various temporal scales, i.e., monthly, seasonal and annual. The study reveals that the KRB is going to become wetter during all the seasons. The results are discussed for the worst-case scenario i.e., RCP8.5 epoch-3. The average annual maximum and minimum temperature is expected to increase. The extreme event analysis is also carried out considering the 90 th and 95 th percentile values. It is noticed that the extreme (90 th and 95 th percentiles) are going to increase. There are events more than extreme values. The outcome of this study can be used in flood modelling for the KRB and also for the modelling of future irrigation demands along with the planning of optimal irrigation in the KRB culturable command area.

翻译：本研究采用统计降尺度模型（SDSM）对克里希纳河流域（KRB）的降水量（PREC）、最高气温（T max）和最低气温（T min）进行降尺度处理。以加拿大地球系统模型第二版（CanESM2）大气环流模型（GCM）的输出作为预测因子。首先，利用30年（1961-1990）数据对SDSM进行校准，随后用15年（1991-2005）数据进行验证。在确认模型性能满意后，进一步将SDSM用于预测21世纪三种代表性浓度路径（RCP）情景（RCP2.6、RCP4.5和RCP8.5）下的预报量（PRECP、T max和T min）。未来时段划分为三个30年时间切片：时期1（2011-2040年）、时期2（2041-2070年）和时期3（2071-2100年）。同时，以1976-2005年作为基准期，将所有未来结果与该数据进行对比。分析在不同时间尺度（月、季节和年）上展开。研究表明，KRB在全年各季节将趋于湿润。针对最坏情景（即RCP8.5时期3）的结果进行了讨论，预计年平均最高温和最低温均将上升。同时基于第90百分位和第95百分位数值进行了极端事件分析，发现极端值（第90百分位和第95百分位）将增加，且存在超过极端值的事件。本研究结果可用于KRB洪水建模、未来灌溉需求模拟以及KRB可灌溉耕地优化灌溉规划。