Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department
Monitoring water resources globally is crucial for forecasting future geo-hydro disasters across the Earth. In the present study, an attempt was made to assess the functional dimensionality of multi-satellite precipitation products, retrieved from CHIRPS, NASA POWER, ERA-5, and PERSIANN-CDR with res...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/13/3443 |
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| author | Nitesh Awasthi Jayant Nath Tripathi George P. Petropoulos Dileep Kumar Gupta Abhay Kumar Singh Amar Kumar Kathwas |
| author_facet | Nitesh Awasthi Jayant Nath Tripathi George P. Petropoulos Dileep Kumar Gupta Abhay Kumar Singh Amar Kumar Kathwas |
| author_sort | Nitesh Awasthi |
| collection | DOAJ |
| description | Monitoring water resources globally is crucial for forecasting future geo-hydro disasters across the Earth. In the present study, an attempt was made to assess the functional dimensionality of multi-satellite precipitation products, retrieved from CHIRPS, NASA POWER, ERA-5, and PERSIANN-CDR with respect to the gridded India Meteorological Department (IMD) precipitation dataset over a period of 30+ years (1990–2021) on monthly and yearly time scales at regional, sub regional, and pixel levels. The study findings showed that the performance of the PERSIANN-CDR dataset was significantly better in Central India, Northeast India, and Northwest India, whereas the NASA-POWER precipitation product performed better in Central India and South Peninsular of India. The other two precipitation products (CHIRPS and ERA-5) showed the intermediate performance over various sub regions of India. The CHIRPS and NASA POWER precipitation products underperformed from the mean value (3.05 mm/day) of the IMD gridded precipitation product, while the other two products ERA-5 and PERSIANN-CDR are over performed across all India. In addition, PERSIANN-CDR performed better in Central India, Northeast India, Northwest India, and the South Peninsula, when the yearly mean rainfall was between 0 and 7 mm/day, while ERA-5 performed better in Central India and the South Peninsula region for a yearly mean rainfall above 0–7 mm/day. Moreover, a peculiar observation was made from the investigation that the respective datasets were able to characterize the precipitation amount during the monsoon in Western Ghats. However, those products needed a regular calibration with the gauge-based datasets in order to improve the future applications and predictions of upcoming hydro-disasters for longer time periods with the very dense rain gauge data. The present study findings are expected to offer a valuable contribution toward assisting in the selection of an appropriate and significant datasets for various studies at regional and zonal scales. |
| first_indexed | 2024-03-11T01:30:16Z |
| format | Article |
| id | doaj.art-561490ea82874d478c3ae76393a48831 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T01:30:16Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-561490ea82874d478c3ae76393a488312023-11-18T17:26:21ZengMDPI AGRemote Sensing2072-42922023-07-011513344310.3390/rs15133443Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological DepartmentNitesh Awasthi0Jayant Nath Tripathi1George P. Petropoulos2Dileep Kumar Gupta3Abhay Kumar Singh4Amar Kumar Kathwas5Department of Earth & Planetary Sciences, University of Allahabad, Prayagraj 211002, Uttar Pradesh, IndiaDepartment of Earth & Planetary Sciences, University of Allahabad, Prayagraj 211002, Uttar Pradesh, IndiaDepartment of Geography, Harokopio University of Athens, El. Venizelou St., 70, Kallithea, 17671 Athens, GreeceDepartment of Physics, Institute of Science, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, IndiaDepartment of Physics, Institute of Science, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, IndiaHaryana Space Applications Centre, Hisar 125004, Haryana, IndiaMonitoring water resources globally is crucial for forecasting future geo-hydro disasters across the Earth. In the present study, an attempt was made to assess the functional dimensionality of multi-satellite precipitation products, retrieved from CHIRPS, NASA POWER, ERA-5, and PERSIANN-CDR with respect to the gridded India Meteorological Department (IMD) precipitation dataset over a period of 30+ years (1990–2021) on monthly and yearly time scales at regional, sub regional, and pixel levels. The study findings showed that the performance of the PERSIANN-CDR dataset was significantly better in Central India, Northeast India, and Northwest India, whereas the NASA-POWER precipitation product performed better in Central India and South Peninsular of India. The other two precipitation products (CHIRPS and ERA-5) showed the intermediate performance over various sub regions of India. The CHIRPS and NASA POWER precipitation products underperformed from the mean value (3.05 mm/day) of the IMD gridded precipitation product, while the other two products ERA-5 and PERSIANN-CDR are over performed across all India. In addition, PERSIANN-CDR performed better in Central India, Northeast India, Northwest India, and the South Peninsula, when the yearly mean rainfall was between 0 and 7 mm/day, while ERA-5 performed better in Central India and the South Peninsula region for a yearly mean rainfall above 0–7 mm/day. Moreover, a peculiar observation was made from the investigation that the respective datasets were able to characterize the precipitation amount during the monsoon in Western Ghats. However, those products needed a regular calibration with the gauge-based datasets in order to improve the future applications and predictions of upcoming hydro-disasters for longer time periods with the very dense rain gauge data. The present study findings are expected to offer a valuable contribution toward assisting in the selection of an appropriate and significant datasets for various studies at regional and zonal scales.https://www.mdpi.com/2072-4292/15/13/3443rainfallIMDCHIRPSNASA POWERERA-5PERSIANN-CDR |
| spellingShingle | Nitesh Awasthi Jayant Nath Tripathi George P. Petropoulos Dileep Kumar Gupta Abhay Kumar Singh Amar Kumar Kathwas Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department Remote Sensing rainfall IMD CHIRPS NASA POWER ERA-5 PERSIANN-CDR |
| title | Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department |
| title_full | Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department |
| title_fullStr | Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department |
| title_full_unstemmed | Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department |
| title_short | Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department |
| title_sort | performance assessment of global eo based precipitation products against gridded rainfall from the indian meteorological department |
| topic | rainfall IMD CHIRPS NASA POWER ERA-5 PERSIANN-CDR |
| url | https://www.mdpi.com/2072-4292/15/13/3443 |
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