Performance Evaluation of CMIP6-GCMs Using Three Spatial Interpolation Methods Over Catchment Area of Koyna Reservoir, India
The present study evaluates the performance of general circulation models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and spatial interpolation methods over the catchment area of the Koyna reservoir in Maharashtra, India. In this study, daily precipitation data from fifteen...
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Pouyan Press
2024-01-01
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| Series: | Computational Engineering and Physical Modeling |
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| author | Sucheta Dumbre Pradnya Dixit Shreenivas Londhe |
| author_facet | Sucheta Dumbre Pradnya Dixit Shreenivas Londhe |
| author_sort | Sucheta Dumbre |
| collection | DOAJ |
| description | The present study evaluates the performance of general circulation models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and spatial interpolation methods over the catchment area of the Koyna reservoir in Maharashtra, India. In this study, daily precipitation data from fifteen selected GCMs for the period 1980 to 2014 is downloaded from Copernicus Climate Data Store and interpolated using bilinear, bicubic and inverse distance weighing method at the locations of 8 rain gauge stations in the catchment area of Koyna reservoir. The performance of the selected GCMs and interpolation methods is evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and correlation coefficient (r) as performance indicators. The suitability of the GCMs is determined by comparing the interpolated values at the selected sites with the actual observed daily precipitation data measured and maintained by the Water Resources Department, Government of Maharashtra. For all selected stations, least values of error measures are obtained with inverse distance weighing method that ranges between 9.21-15.11 mm and 21.97-40.95 mm respectively. The value of correlation coefficient shows slight improvement with inverse distance weighing method with 0.47 as the highest correlation coefficient. The study highlights MIROC-ES2L, CNRM-CM6-1, CNRM-ESM2-1, INM-CM4-8 and EC-Earth3-Veg-LR as the most suitable GCMs and the inverse distance weighting method as the most suitable interpolation method for the study area. The study can be continued with the selected GCMs and interpolation method for predicting future rainfall to develop strategies to mitigate the adverse impacts of floods and droughts in future years. |
| format | Article |
| id | doaj-art-5eefedffd0da495bbaac2fccfe886e2b |
| institution | DOAJ |
| issn | 2588-6959 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Pouyan Press |
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| series | Computational Engineering and Physical Modeling |
| spelling | doaj-art-5eefedffd0da495bbaac2fccfe886e2b2025-08-20T02:54:43ZengPouyan PressComputational Engineering and Physical Modeling2588-69592024-01-017110312110.22115/cepm.2024.453886.1304197447Performance Evaluation of CMIP6-GCMs Using Three Spatial Interpolation Methods Over Catchment Area of Koyna Reservoir, IndiaSucheta Dumbre0Pradnya Dixit1Shreenivas Londhe2Research scholar, Department of Civil Engineering, Vishwakarma Institute of Information Technology, Pune, IndiaAssociate Professor, Department of Civil Engineering, Vishwakarma Institute of Information Technology, Pune, IndiaProfessor, Department of Civil Engineering, Vishwakarma Institute of Information Technology, Pune, IndiaThe present study evaluates the performance of general circulation models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and spatial interpolation methods over the catchment area of the Koyna reservoir in Maharashtra, India. In this study, daily precipitation data from fifteen selected GCMs for the period 1980 to 2014 is downloaded from Copernicus Climate Data Store and interpolated using bilinear, bicubic and inverse distance weighing method at the locations of 8 rain gauge stations in the catchment area of Koyna reservoir. The performance of the selected GCMs and interpolation methods is evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and correlation coefficient (r) as performance indicators. The suitability of the GCMs is determined by comparing the interpolated values at the selected sites with the actual observed daily precipitation data measured and maintained by the Water Resources Department, Government of Maharashtra. For all selected stations, least values of error measures are obtained with inverse distance weighing method that ranges between 9.21-15.11 mm and 21.97-40.95 mm respectively. The value of correlation coefficient shows slight improvement with inverse distance weighing method with 0.47 as the highest correlation coefficient. The study highlights MIROC-ES2L, CNRM-CM6-1, CNRM-ESM2-1, INM-CM4-8 and EC-Earth3-Veg-LR as the most suitable GCMs and the inverse distance weighting method as the most suitable interpolation method for the study area. The study can be continued with the selected GCMs and interpolation method for predicting future rainfall to develop strategies to mitigate the adverse impacts of floods and droughts in future years.https://www.jcepm.com/article_197447_7f11c3083a505bfaccdabf59008b933e.pdfgeneral circulation models (gcms)coupled model intercomparison projectperformance indicatorsspatial interpolation methods |
| spellingShingle | Sucheta Dumbre Pradnya Dixit Shreenivas Londhe Performance Evaluation of CMIP6-GCMs Using Three Spatial Interpolation Methods Over Catchment Area of Koyna Reservoir, India Computational Engineering and Physical Modeling general circulation models (gcms) coupled model intercomparison project performance indicators spatial interpolation methods |
| title | Performance Evaluation of CMIP6-GCMs Using Three Spatial Interpolation Methods Over Catchment Area of Koyna Reservoir, India |
| title_full | Performance Evaluation of CMIP6-GCMs Using Three Spatial Interpolation Methods Over Catchment Area of Koyna Reservoir, India |
| title_fullStr | Performance Evaluation of CMIP6-GCMs Using Three Spatial Interpolation Methods Over Catchment Area of Koyna Reservoir, India |
| title_full_unstemmed | Performance Evaluation of CMIP6-GCMs Using Three Spatial Interpolation Methods Over Catchment Area of Koyna Reservoir, India |
| title_short | Performance Evaluation of CMIP6-GCMs Using Three Spatial Interpolation Methods Over Catchment Area of Koyna Reservoir, India |
| title_sort | performance evaluation of cmip6 gcms using three spatial interpolation methods over catchment area of koyna reservoir india |
| topic | general circulation models (gcms) coupled model intercomparison project performance indicators spatial interpolation methods |
| url | https://www.jcepm.com/article_197447_7f11c3083a505bfaccdabf59008b933e.pdf |
| work_keys_str_mv | AT suchetadumbre performanceevaluationofcmip6gcmsusingthreespatialinterpolationmethodsovercatchmentareaofkoynareservoirindia AT pradnyadixit performanceevaluationofcmip6gcmsusingthreespatialinterpolationmethodsovercatchmentareaofkoynareservoirindia AT shreenivaslondhe performanceevaluationofcmip6gcmsusingthreespatialinterpolationmethodsovercatchmentareaofkoynareservoirindia |