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Application of TVDM in Modeling the Observed Precipitation Over Godavari River Basin, India
The benefit of the time-varying downscaling model (TVDM) in downscaling the historical precipitation (1951–2015) data is explored in this study. The Godavari River Basin (GRB) is considered for demonstrating the results. The General Circulation Model (GCM) outputs from Canadian Earth System Model, version-2 (CanESM2) are considered for the analysis. The observed precipitation is obtained from India Meteorological Department (IMD), Pune. Firstly, the TVDM is calibrated using 40 years (1951–1990) of historical data and then validated for the remaining 15 years (1991–2005) in the historical period. Secondly, the downscaled data are analyzed with the observed precipitation data using different statistical measures. The results have shown a good association between observed and downscaled precipitation during both calibration and validation periods across the GRB. For instance, the correlation coefficient (R) ranges between 0.71 and 0.89 at various locations in the GRB. Further, the extreme events are also assessed using 90th and 95th percentiles and found a better match between the observed and TVDM downscaled data. Overall, the TVDM shows a promising result in modeling the precipitation. Hence, the TVDM can be used to downscale the future precipitation of GRB under the changing climate scenario, and the outputs can be used for many local-scale impact assessment studies.
Application of TVDM in Modeling the Observed Precipitation Over Godavari River Basin, India
The benefit of the time-varying downscaling model (TVDM) in downscaling the historical precipitation (1951–2015) data is explored in this study. The Godavari River Basin (GRB) is considered for demonstrating the results. The General Circulation Model (GCM) outputs from Canadian Earth System Model, version-2 (CanESM2) are considered for the analysis. The observed precipitation is obtained from India Meteorological Department (IMD), Pune. Firstly, the TVDM is calibrated using 40 years (1951–1990) of historical data and then validated for the remaining 15 years (1991–2005) in the historical period. Secondly, the downscaled data are analyzed with the observed precipitation data using different statistical measures. The results have shown a good association between observed and downscaled precipitation during both calibration and validation periods across the GRB. For instance, the correlation coefficient (R) ranges between 0.71 and 0.89 at various locations in the GRB. Further, the extreme events are also assessed using 90th and 95th percentiles and found a better match between the observed and TVDM downscaled data. Overall, the TVDM shows a promising result in modeling the precipitation. Hence, the TVDM can be used to downscale the future precipitation of GRB under the changing climate scenario, and the outputs can be used for many local-scale impact assessment studies.
Application of TVDM in Modeling the Observed Precipitation Over Godavari River Basin, India
Lecture Notes in Civil Engineering
Timbadiya, P. V. (editor) / Singh, Vijay P. (editor) / Sharma, Priyank J. (editor) / Pichuka, Subbarao (author) / Bhoopathi, Srikanth (author) / Nandikanti, Siva Sai Syam (author)
International Conference on Hydraulics, Water Resources and Coastal Engineering ; 2021
2023-05-24
10 pages
Article/Chapter (Book)
Electronic Resource
English
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