Rain retrieval algorithm for SSTM-1 aboard upcoming EOS-6 mission

• Published in: Journal of Earth System Science 2023-04, Vol.132 (2), p.68, Article 68
• Main Authors: Sharma, Neerja, Varma, A K
• Format: Article
• Language: English
• Subjects: Algorithms; Atmospheric precipitations; Automation; Bathymetry; Cyclones; Disasters; Doppler effect; Earth and Environmental Science; Earth Sciences; Global precipitation; Humidity; Hurricanes; Indian space program; MODIS; Monitoring; Ocean surface; Oceans; Performance evaluation; Precipitation; Precipitation measurements; Precipitation monitoring; Probability theory; Radar; Rain; Rainfall; Rainfall distribution; Retrieval; Satellites; Scatterometers; Sea surface; Sea surface temperature; Space Exploration and Astronautics; Space research; Space Sciences (including Extraterrestrial Physics; Spatial discrimination; Spatial resolution; Spectroradiometers; Surface temperature; Surface wind; Temperature monitoring; Tropical cyclones; Vectors; Wind; Wind vectors
• ISSN: 0973-774X; 0253-4126; 0973-774X
• DOI: 10.1007/s12040-023-02079-0

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. Research highlights Rainfall retrieval technique is developed for upcoming SSTM-1 aboard EOS-06 mission. Developed technique would allow to monitor rain at high spatial resolution (~1km) from SSTM-1 over global ocean and Indian land mass. This pre-launch study utilises TIR observations from MODIS instrument aboard Terra and Aqua satellites as a proxy to SSTM-1 and performance of estimations is evaluated with rainfall products from GPM. Importance of rain monitoring from SSTM-1 in developing rain flagging/correction procedure for rain-corrupted wind vector products from scatterometer (aboard on same platform), disaster support and in resolving complex rain structure of TCs is demonstrated.