Fábio Diniz joined the JCSDA in August 2020 as a Project Scientist working with the observations team. His role is to contribute to the development of Forecast Sensitivity-based Observation Impact (FSOI) capabilities in the Joint Effort for Data Assimilation Integration (JEDI) system.

Fábio is originally from the South of Brazil, where he earned a B.Sc. in Meteorology from the Brazilian Federal University of Pelotas (UFPel) and was first introduced to data assimilation. Later he moved to the Southeast region of Brazil to pursue an M.Sc. in Meteorology at the Brazilian National Institute for Space Research (INPE), where he started to contribute to various data assimilation activities. At that time, INPE was developing a local ensemble transform Kalman filter (LETKF) which provided motivation for a M.Sc. degree dissertation on the development of an ensemble-based FSOI tool. This effort led him to visit NASA’s Global Modeling and Assimilation Office (GMAO) and to earn a Ph.D. in Meteorology for investigating the impact of over 40 years of observations assimilated in the MERRA-2 reanalysis using an FSOI methodology.

Apart from science, Fabio enjoys spending time with his family and friends. He also enjoys outdoor activities and playing sports.