IMSRA rainfall estimation validation and variability over Indian region during GAJA cyclone
Keywords:IMSRA algorithm, Remote Sensing, IMSRA-Merged data.
Rainfall during a cyclonic event is very high compared to the monsoon seasons, which bring heavy damage to the lives of humans and cattle and other severe bruises. To prevent such conditions, accurate prediction of rainfall is necessary.
Before prediction, there should be adequate knowledge about how rainfall is distributed spatially, how it varies from time to time, etc., This study attempts to infer the rainfall distribution during GAJA cyclone over the Indian region with the INSAT-3D IMAGER data. The IMRSRA and IMC (IMSRA-Modified) datasets are used for rainfall retrieval during landfall of GAJA cyclone, which is of 0.10 X 0.10 spatial resolution and temporal resolution of 30min. An IMSRA-Merged data product is derived from the IMC dataset. The obtained result is validated by the IMD rain gauge data, global data products such as IMERG and GSMaP. The performance of IMSRA-Merged is good compared to all other datasets that show reliable rainfall and a good correlation (>0.5).
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