A station-based 0.1-degree daily gridded ensemble precipitation dataset for India
Abstract Gridded precipitation products are inherently uncertain and predominantly deterministic, which limits their applicability in data assimilation systems and hydrologic modeling. This limitation is significant in developing countries such as India, where the observation network is sparse and n...
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Nature Portfolio
2025-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04474-2 |
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| author | Anagha Peringiyil Manabendra Saharia Sreejith O. P. Andrew W. Wood Mrutyunjay Mohapatra Bharti Sabde Aradhana Kumari Bhushan Phadkar Sabeerali C. T. Rohini P. Hosalikar K. S. M. Rajeevan |
| author_facet | Anagha Peringiyil Manabendra Saharia Sreejith O. P. Andrew W. Wood Mrutyunjay Mohapatra Bharti Sabde Aradhana Kumari Bhushan Phadkar Sabeerali C. T. Rohini P. Hosalikar K. S. M. Rajeevan |
| author_sort | Anagha Peringiyil |
| collection | DOAJ |
| description | Abstract Gridded precipitation products are inherently uncertain and predominantly deterministic, which limits their applicability in data assimilation systems and hydrologic modeling. This limitation is significant in developing countries such as India, where the observation network is sparse and non-uniform, topography is complex, and hydrometeorological extremes are frequent. The current official 0.25° observed precipitation dataset of the Indian Meteorological Department (IMD) is deterministic and based on Shephard’s interpolation technique. To address these challenges, we have developed the Indian Precipitation Ensemble Dataset (IPED) leveraging the largest network of precipitation gauge stations across India and using a locally weighted spatial regression approach. IPED is a daily 30-member ensemble precipitation product available at 0.1° and 0.25° resolution (1991–2020), accounting for topographical variation in elevation, slope, and aspect. For all thresholds, including the extreme 99th percentile precipitation during monsoon, the developed ensemble product exhibits higher discrimination and reliability. This is the first observation-based ensemble precipitation product over India and is expected to have widespread hydrometeorological applications. |
| format | Article |
| id | doaj-art-8436bbc3f9f6461bad9ca7d895c5b7e9 |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-8436bbc3f9f6461bad9ca7d895c5b7e92025-08-20T02:59:35ZengNature PortfolioScientific Data2052-44632025-02-0112111510.1038/s41597-025-04474-2A station-based 0.1-degree daily gridded ensemble precipitation dataset for IndiaAnagha Peringiyil0Manabendra Saharia1Sreejith O. P.2Andrew W. Wood3Mrutyunjay Mohapatra4Bharti Sabde5Aradhana Kumari6Bhushan Phadkar7Sabeerali C. T.8Rohini P.9Hosalikar K. S.10M. Rajeevan11Department of Civil Engineering, Indian Institute of Technology DelhiDepartment of Civil Engineering, Indian Institute of Technology DelhiIndian Meteorological DepartmentNational Center for Atmospheric ResearchIndian Meteorological DepartmentIndian Meteorological DepartmentIndian Meteorological DepartmentIndian Meteorological DepartmentIndian Meteorological DepartmentIndian Meteorological DepartmentIndian Meteorological DepartmentVice Chancellor, Atria UniversityAbstract Gridded precipitation products are inherently uncertain and predominantly deterministic, which limits their applicability in data assimilation systems and hydrologic modeling. This limitation is significant in developing countries such as India, where the observation network is sparse and non-uniform, topography is complex, and hydrometeorological extremes are frequent. The current official 0.25° observed precipitation dataset of the Indian Meteorological Department (IMD) is deterministic and based on Shephard’s interpolation technique. To address these challenges, we have developed the Indian Precipitation Ensemble Dataset (IPED) leveraging the largest network of precipitation gauge stations across India and using a locally weighted spatial regression approach. IPED is a daily 30-member ensemble precipitation product available at 0.1° and 0.25° resolution (1991–2020), accounting for topographical variation in elevation, slope, and aspect. For all thresholds, including the extreme 99th percentile precipitation during monsoon, the developed ensemble product exhibits higher discrimination and reliability. This is the first observation-based ensemble precipitation product over India and is expected to have widespread hydrometeorological applications.https://doi.org/10.1038/s41597-025-04474-2 |
| spellingShingle | Anagha Peringiyil Manabendra Saharia Sreejith O. P. Andrew W. Wood Mrutyunjay Mohapatra Bharti Sabde Aradhana Kumari Bhushan Phadkar Sabeerali C. T. Rohini P. Hosalikar K. S. M. Rajeevan A station-based 0.1-degree daily gridded ensemble precipitation dataset for India Scientific Data |
| title | A station-based 0.1-degree daily gridded ensemble precipitation dataset for India |
| title_full | A station-based 0.1-degree daily gridded ensemble precipitation dataset for India |
| title_fullStr | A station-based 0.1-degree daily gridded ensemble precipitation dataset for India |
| title_full_unstemmed | A station-based 0.1-degree daily gridded ensemble precipitation dataset for India |
| title_short | A station-based 0.1-degree daily gridded ensemble precipitation dataset for India |
| title_sort | station based 0 1 degree daily gridded ensemble precipitation dataset for india |
| url | https://doi.org/10.1038/s41597-025-04474-2 |
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