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Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department

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dc.contributor.authorAwasthi, Nitesh
dc.contributor.authorTripathi, Jayant Nath
dc.contributor.authorPetropoulos, George P.
dc.contributor.authorGupta, Dileep Kumar
dc.contributor.authorSingh, Abhay Kumar
dc.contributor.authorKathwas, Amar Kumar
dc.date.accessioned2025-01-28T09:41:29Z
dc.date.available2025-01-28T09:41:29Z
dc.date.issued2023
dc.description.abstractMonitoring 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. � 2023 by the authors.
dc.identifier.doihttps://doi.org/10.3390/rs15133443
dc.identifier.issn20724292
dc.identifier.urihttps://dl.bhu.ac.in/ir/handle/123456789/22037
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.subjectCHIRPS
dc.subjectERA-5
dc.subjectIMD
dc.subjectNASA POWER
dc.subjectPERSIANN-CDR
dc.subjectrainfall
dc.titlePerformance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department
dc.typeArticle
dspace.entity.typePublication
journal.titleRemote Sensing
journalvolume.identifier.volume15

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2023