Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Intercomparison of the Performance of CHIRPS Satellite Rainfall Data and Gauge Gridded IMD Data for Hydrological Modelling
Precipitation is one of the primary inputs governing the hydrology of the basins. The hydrological models developed for Indian region utilize multiple sources of precipitation data with varying degrees of uncertainties. In this study, the two widely used sources of precipitation data such as Climate Hazards Group InfraRed Precipitation with station data (CHIRPS) satellite rainfall data and gauge gridded Indian Meteorological Department (IMD) data have been used for hydrological modelling, and their performance has been compared in predicting the streamflow as compared to the observed streamflow data. Daily rainfall data over Payaswani River Basin for 30 years (1989–2018) has been used for analysis. The hydrological model is developed using DHI MIKE NAM (Nedbør—Afstrømnings-Model) model. Out of 30 years data, 20 years data is used for calibration, and 10 years data is used for validation. The performance of model can be evaluated using various performance indicators such as overall volume error, peak flow root mean square error (RMSE), low flow RMSE, and aggregate objective error. The results indicated that gauge gridded IMD data performed better than CHIRPS data for all indices except overall volume error.
Intercomparison of the Performance of CHIRPS Satellite Rainfall Data and Gauge Gridded IMD Data for Hydrological Modelling
Precipitation is one of the primary inputs governing the hydrology of the basins. The hydrological models developed for Indian region utilize multiple sources of precipitation data with varying degrees of uncertainties. In this study, the two widely used sources of precipitation data such as Climate Hazards Group InfraRed Precipitation with station data (CHIRPS) satellite rainfall data and gauge gridded Indian Meteorological Department (IMD) data have been used for hydrological modelling, and their performance has been compared in predicting the streamflow as compared to the observed streamflow data. Daily rainfall data over Payaswani River Basin for 30 years (1989–2018) has been used for analysis. The hydrological model is developed using DHI MIKE NAM (Nedbør—Afstrømnings-Model) model. Out of 30 years data, 20 years data is used for calibration, and 10 years data is used for validation. The performance of model can be evaluated using various performance indicators such as overall volume error, peak flow root mean square error (RMSE), low flow RMSE, and aggregate objective error. The results indicated that gauge gridded IMD data performed better than CHIRPS data for all indices except overall volume error.
Intercomparison of the Performance of CHIRPS Satellite Rainfall Data and Gauge Gridded IMD Data for Hydrological Modelling
Lecture Notes in Civil Engineering
Timbadiya, P. V. (Herausgeber:in) / Patel, P. L. (Herausgeber:in) / Singh, Vijay P. (Herausgeber:in) / Sharma, Priyank J. (Herausgeber:in) / Gupta, K. (Autor:in)
International Conference on Hydraulics, Water Resources and Coastal Engineering ; 2021
01.05.2023
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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