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 present study, an attempt was made to assess functional dimensionality of multi-satellite precipitation products, retrieved from CHIRPS, NASA POWER, ERA-5, and PERSIANN-CDR with respect gridded India Meteorological Department (IMD) dataset over a period 30+ years (1990–2021) on monthly yearly time scales at regional, sub pixel levels. The study findings showed that performance significantly better in Central India, Northeast Northwest whereas NASA-POWER product performed South Peninsular India. other two products (CHIRPS ERA-5) intermediate various regions CHIRPS POWER underperformed mean value (3.05 mm/day) IMD product, while ERA-5 are all addition, Peninsula, when rainfall between 0 7 mm/day, Peninsula region above 0–7 mm/day. Moreover, peculiar observation investigation respective datasets were able characterize amount during monsoon Western Ghats. However, those needed regular calibration gauge-based order improve applications predictions upcoming hydro-disasters longer periods very dense rain gauge data. expected offer valuable contribution toward assisting selection appropriate significant studies regional zonal scales.