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Analyzing Large-Scale Hydrologic Processes Using GRACE and Hydrometeorological Datasets

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Abstract

Water demand in India is growing due to its increasing population, economic growth and urbanization. Consequently, knowledge of interdependencies of large-scale hydrometeorological processes is crucial for efficient water resources management. Estimates of Groundwater (GW) derived from Terrestrial Water Storage (TWS) data provided by Gravity Recovery and Climate Experiment (GRACE) satellite mission along with various other satellite observations and model estimates now facilitates such investigations. In an attempt which is first of its kind in India, this study proposes Independent Component Analysis (ICA) based spatiotemporal analysis of Precipitation (P), Evapotranspiration (ET), Surface Soil Moisture (SSM), Root Zone Soil Moisture (RZSM), TWS and GW to understand such interdependencies at intra- and interannual time scales. Results indicate that 84–99% of the total variability is explained by the first 6 ICs of all the variables, analyzed for a period 2002–2014. The Indian Summer Monsoon Rainfall (ISMR) is the causative-factor of the first component describing 61–82% of the total variability. The phase difference between all seasonal components of P and that of RZSM and ET is a month whereas it is 2 months between the seasonal components of P and that of SSM, TWS and GW. ET is observed to be largely dependent on RZSM while GW appears as the major component of TWS. GW and TWS trends of opposite nature were observed in northern and southern part of India caused by inter-annual rainfall variability. These findings when incorporated in modelling frameworks would improve forecasts resulting in better water management.

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Acknowledgements

The authors thankfully acknowledge the National Aeronautics and Space Administration (NASA) for GRACE land data, MODIS Evapotranspiration data and GLDAS Noah Soil Moisture data used in this study. The authors also acknowledge IMD for precipitation dataset. The authors are grateful to Dr. Ehsan Forootan of School of Earth and Ocean Sciences, Cardiff University, UK, for sharing information about the usage of the ICA technique for this research work.

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  1. Department of Civil Engineering, Indian Institute of Science, Bangalore, India

    Chandan Banerjee & D. Nagesh Kumar

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  1. Chandan Banerjee
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Correspondence to D. Nagesh Kumar.

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Banerjee, C., Kumar, D.N. Analyzing Large-Scale Hydrologic Processes Using GRACE and Hydrometeorological Datasets. Water Resour Manage 32, 4409–4423 (2018). https://doi.org/10.1007/s11269-018-2070-x

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