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Estimation of high resolution Sea Surface Temperature (SST) fields using multi-sensor satellite observations

Grant number: 17/04887-0
Support type:Research Grants - Young Investigators Grants
Duration: December 01, 2017 - November 30, 2021
Field of knowledge:Physical Sciences and Mathematics - Oceanography
Principal Investigator:Marouan Bouali
Grantee:Marouan Bouali
Home Institution: Instituto Oceanográfico (IO). Universidade de São Paulo (USP). São Paulo, SP, Brazil
Assoc. researchers:Olga Tiemi Sato ; Paulo Simionatto Polito
Associated scholarship(s):18/00528-9 - Estimation of high resolution sea surface temperature (SST) fields using multi-sensor satellite observations, BP.JP


Accurate estimation of Sea Surface Temperature (SST) from satellite observations plays a pivotal role in a variety of applications. Ocean and atmospheric models as well as numerical weather prediction systematically use as input, gap free SST fields derived from SST analysis techniques. Most SST analysis currently run by oceanographic and meteorological operational agencies rely on the seminal Optimum Interpolation (OI) technique. Despite its robust statistical foundation, OI suffers from many limitations that lead to level 4 SST fields with significant amounts of blur. Consequently, SST analysis based on OI schemes are unable to capture ocean small scale structures that are typically seen in high resolution level 2 SST imagery derived from infrared satellite instruments. Given the growing importance of sub-mesoscale processes in the study of ocean dynamics and its interaction with the atmosphere, innovative research is needed to estimate high resolution gap free SST from multiple satellite missions, without any of the limitations of OI. In this project, we aim to develop a new SST analysis methodology able to produce SST fields that are both statistically accurate and geometrically consistent, i.e., able to preserve ocean small scale features. (AU)