Data from : Limited influence of irrigation on pre-monsoon heat stress in the Indo-Gangetic Plain

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.