| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4525316 | Advances in Water Resources | 2016 | 7 Pages |
•This study assesses the Integrated Multi-satellitE Retrievals for Global Precipitation Mission (IMERG).•Performance of IMERG is evaluated relative to Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA).•IMERG precipitation for the monsoon season shows noticeable improvements over TMPA over India.
In this study, we investigate the capabilities of the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) and the recently released Integrated Multi-satellitE Retrievals for GPM (IMERG) in detecting and estimating heavy rainfall across India. First, the study analyzes TMPA data products over a 17-year period (1998–2014). While TMPA and reference gauge-based observations show similar mean monthly variations of conditional heavy rainfall events, the multi-satellite product systematically overestimates its inter-annual variations. Categorical as well as volumetric skill scores reveal that TMPA over-detects heavy rainfall events (above 75th percentile of reference data), but it shows reasonable performance in capturing the volume of heavy rain across the country. An initial assessment of the GPM-based multi-satellite IMERG precipitation estimates for the southwest monsoon season shows notable improvements over TMPA in capturing heavy rainfall over India. The recently released IMERG shows promising results to help improve modeling of hydrological extremes (e.g., floods and landslides) using satellite observations.
