The dataset contains WRF-CLM4 simulation post-processed output for three experiments named CTL, AGR, and MOD for pre-monsoon (April-May) from 2004-2016. Here, CTL represents WRF-CLM4 simulation with no irrigation, AGR represents WRF-CLM4 simulation with agricultural census-based irrigation data and MOD represents WRF-CLM4 simulation with model-estimated irrigation data. Here, C1, C2, and C3 represent different parameterization scheme combinations. C1:Mellor-Yamada Nakanishi and Niino Level 3 - WRF Double-Moment 6-class scheme - Tiedtke scheme (MYNN3-WDM6-Tiedtke) C2:Mellor-Yamada Nakanishi and Niino Level 3 - WRF Single-Moment 6-classscheme - KF scheme (MYNN3-WSM6-KF) C3:Mellor-Yamada Nakanishi and Niino Level 3 - WRF Single-Moment 6-class scheme - Grell3D (MYNN3-WSM6 Grell3D) The post-processed output contains the following variables: Land Surface Temperature Mean Air Temperature Maximum Air Temperature Wet-bulb Temperature Specific Humidity Latent Heat Flux Sensible Heat Flux Planet Boundary Layer Height Surface Pressure Relative Humidity The dataset also contains a spreadsheet that contains the FAO monthly calendar of the percentage of crop irrigation and pre-monsoon season crop calendar based on crop production data and annual reports “Agricultural Statistics At a Glance” from the Government of India. In addition, the file contains raw pre-monsoon data (area under the crop and crop irrigated area) from 2004 to 2016 for five crops (rice, maize, gram, sugarcane, and sunflower) over Indo-Gangetic Plain (Bihar, Uttar Pradesh, Haryana, Punjab, and Rajasthan). The pre-monsoon irrigation files for WRF contain irrigation data input for the WRF-CLM4 model.