Validation and Correction of GSMaP_Gauge Product Over the Nagavali Basin in Eastern India

Innovative Trends in Hydrological and Environmental Systems(2022)

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Abstract
Accurate estimate of precipitation is important for many hydro-climatological applications. In recent years, the use of satellite-based precipitation estimates has been increased in hydrological simulations due to the availability of high spatial and temporal resolutions. However, with the implementation of additional data and continuous improvements in data processing algorithms, it is necessary to understand and document satellite-based precipitation estimates. In the present study, the error characteristics of GSMaP_Gauge (GG) rainfall estimates have been assessed using gridded data provided by India Meteorological Department (IMD). The error characteristics were assessed using various validation matrices such as statistical indices, contingency statistics, and error decomposition. A simple multiplication scheme was used to apply bias correction to GG rainfall estimates. After applying the bias correction, significant improvement was observed in the GG rainfall estimates. The findings from the present analysis will be further used to establish the better links between satellite-based rainfall estimates and observed data.
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Key words
Bias correction, Contingency statistics, Error decomposition, GSMaP, Statistical indices
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