Zobrazeno 1 - 10 of 91 pro vyhledávání: '"Sanjeev Kumar Jha"'
1
Akademický článek
Using a Bayesian joint probability approach to improve the skill of medium-range forecasts of the Indian summer monsoon rainfall
Autor: Nibedita Samal, R. Ashwin, Akshay Singhal, Sanjeev Kumar Jha, David E. Robertson
Publikováno v: Journal of Hydrology: Regional Studies, Vol 45, Iss , Pp 101284- (2023)
Study region: Ganga, Mahanadi, Godavari, Narmada, and Tapti River basins of India. Study focus: The manuscript focuses on improving skills of the Indian summer-monsoon precipitation forecasts obtained from National Center for Medium-Range Weather For
Externí odkaz: https://doaj.org/article/a811425064844d608fb0464bd72a37d7
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3
Akademický článek
Impact of model structure on the accuracy of hydrological modeling of a Canadian Prairie watershed
Autor: Ameer Muhammad, Grey R. Evenson, Tricia A. Stadnyk, Alaba Boluwade, Sanjeev Kumar Jha, Paulin Coulibaly
Publikováno v: Journal of Hydrology: Regional Studies, Vol 21, Iss , Pp 40-56 (2019)
Study region: Prairie Pothole Region of Canada. Study focus: The Prairie region spans across approximately 870,000 km2 of the Great Plains region of Canada (80%) and the United States (20%). The presence of a large number of depressional wetlands (po
Externí odkaz: https://doaj.org/article/855de662912e4e0e8a54ed8b525b705f
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5
Using the hydrological model for filling the missing discharge data by using multi-site calibration
Autor: Ankit Singh, Hemant Kumar Dhaka, Pragati Prajapati, Sanjeev Kumar Jha
The river discharge data is one of the most important pieces of information to regulate various water resources, including flood frequency analysis, drought and flood prediction, etc. The missing observer discharge data, even a short gap, influences
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e75e32e322b6d339dae10d01d6f23664
https://doi.org/10.5194/egusphere-egu23-1636
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6
Statistical generation of fine-resolution precipitation data in Ganga and Godavari River basins of India using limited training datasets
Autor: Nibedita Samal, Akshay Singhal, Ankit Singh, Sanjeev Kumar Jha
The Ganga and Godavari are major rivers of India and are known for satisfying the agricultural needs of most part of the country. In the past few decades, these basins have seen increased geohazard scenarios such as floods, flash floods, landslides,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f5a236ad1f60d616581ebfc913dc875
https://doi.org/10.5194/egusphere-egu23-1536
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9
Evaluation of quantitative precipitation forecast in five Indian river basins
Autor: Sanjeev Kumar Jha, Shubham Tiwari, Ankit Singh
Publikováno v: Hydrological Sciences Journal. 66:2216-2231
Quantitative Precipitation Forecast (QPF) obtained from a Numerical Weather Prediction model is used for streamflow forecasting. This study systematically evaluates the performance of a determinist...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d365b45f086cd82b05d6d9bdb42f879
https://doi.org/10.1080/02626667.2021.1982138
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