Publications

Sharma, N; Varma, AK (2023). Rain retrieval algorithm for SSTM-1 aboard upcoming EOS-6 mission. JOURNAL OF EARTH SYSTEM SCIENCE, 132(2), 68.

Abstract
Hydro-Estimator method-based rain retrieval technique, successfully providing rain estimates from INSAT-3D/3DR, is modified to provide rain from Sea Surface Temperature Monitor-1 (SSTM-1) payload aboard the upcoming EOS-6 mission of Indian Space Research Organisation. Pre-launch study utilises moderate resolution imaging spectroradiometer instrument aboard Terra and Aqua satellites as a proxy to SSTM-1. Performance of estimations is evaluated with rainfall products from Global Precipitation Measurement (GPM) mission. The results indicate that SSTM-1 can capture not only the global rainfall distribution but also has the potential to resolve rainfall structure of tropical cyclones. Quantitative comparison of the measured rainfall with IMERG (Integrated Multi-satellitE Retrieval for GPM) rain shows a root mean square error of 3.02 mm hr(-1), bias of 1.06 mm hr(-1) and correlation of 0.48. Present algorithm provides a probability of detection of >65% with respect to rain measurements from GPM Dual-frequency Precipitation Radar (DPR), which further demonstrates the potential of SSTM-1 for monitoring rainfall. In addition, the study determines the importance of rain monitoring from SSTM-1 in disaster support and developing flagging/correction procedures for rain-corrupted ocean surface wind vectors from scatterometer payload onboard on the same platform.

DOI:
10.1007/s12040-023-02079-0

ISSN:
0973-774X