Published August 14, 2023 | Version Version 1
Dataset Open

Data from: River interlinking alters land-atmosphere feedback and changes the Indian summer monsoon.

  • 1. Indian Institute of Technology Bombay, India
  • 2. ARC Centre of Excellence for Climate Extremes and Climate Change Research Centre, University of New South Wales, Australia
  • 3. Indian Institute of Tropical Meteorology Pune, India
  • 4. KAUST, Saudi Arabia

Description

The dataset contains post-processed output from two experiments performed for Indian Summer Monsoon (June-September) from 1991-2012 using WRF-CLM4: CTL and IRR. Here, CTL represents WRF-CLM4 simulation with irrigation currently practiced in India. We use a modified irrigation module in CLM4 that better represents the Indian practices of irrigation by incorporating groundwater withdrawal and flood irrigation practiced over paddy fields. The module can be found at https://github.com/IMMM-SFA/WRF_CLM4_Irrigation and https://doi.org/10.1029/2019GL083875. IRR simulation adds additional irrigation to CTL by increasing the percentage of irrigated area to 80% in regions where India's river-interlinking projects target an increase in the culturable command area.

The post-processed output contains the following variables:

  1. Mean Daily Temperature
  2. Daily Maximum Temperature
  3. Latent Heat Flux
  4. Sensible Heat Flux
  5. Relative Humidity
  6. U-Wind at Pressure levels
  7. V-Wind at Pressure levels
  8. Net-Solar Radiation on Land
  9. Soil Moisture

Irrigation input files for CTL and IRR simulations of WRF-CLM4 are also included.

Files

irrigation_input_files_for_WRF_CTL_IRR.zip

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