EGU23-737, updated on 22 Feb 2023
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Green Water Scarcity Index Mapping for India Using Geospatial Data Products

Saicharan Vasala and Shwetha Hassan Rangaswamy
Saicharan Vasala and Shwetha Hassan Rangaswamy
  • Department of Water Resources and Ocean Engineering , National Institute of Technology Karnataka(NITK), Surathkal, India (

Green water assessment is evolving as a significant aspect of hydrological science since its existence is critical for crop production in rain-fed areas. The green water scarcity index (GWSI), which is based on evapotranspiration and effective rainfall, can assist researchers in understanding the water requirements of agriculture and the current water stress condition. To generate a GWSI map of India from 2017 to 2019 at monthly and yearly scales, this study employed Indian Meteorological Department (IMD) gridded rainfall and TerraClimate-based actual evapotranspiration data products. The results showed that India experienced low GWSI throughout the monsoon season, as was to be expected, but interestingly, there were no high GWSI values (> 0.9) during the summer months, as seen in the winter. India experienced average GWSI values of 0.87, 0.86, and 0.83 in 2017, 2018, and 2019, respectively. In comparison to other years, 2019 has a lower GWSI, and rest years have similar GWSI values in the July and December months. In contrast to how almost all months in all years have similar GWSI values, the substantial discrepancy is only seen in September 2019. Due to the high frequency of rainfall events in September 2019, the ER rate has increased, which has led to a decrease in the GWSI in India's month of September 2019. According to the findings of this study, the monsoon has less of an impact on GWSI scarcity. India experiences green water scarcity all year round, necessitating extensive irrigation for agriculture. The lack of gree water resources enabled the transition away from rainfed agriculture cultivation. This research will aid in determining the precise condition of water stress in the targeted region, as well as the zoning of water-scarce regions, so that future irrigation planning can be done appropriately.

How to cite: Vasala, S. and Hassan Rangaswamy, S.: Green Water Scarcity Index Mapping for India Using Geospatial Data Products, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-737,, 2023.

Supplementary materials

Supplementary material file