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Dr. Posselt is a research scientist with the Atmospheric Physics and Weather group (329E) in the Earth Science Section at NASA Jet Propulsion Laboratory (JPL), California Institute of Technology (Caltech). He is also a visiting Associate Researcher at the Joint Institute for Regional Earth System Science and Engineering (JIFRESSE) at the University of California, Los Angeles (UCLA).
Dr. Posselt has 18 years of experience working on satellite data applications and the development of satellite missions, and 19 years of experience confronting numerical models with remote sensing and in-situ observations. He served as CYGNSS Deputy Principal Investigator from 2012 – 2016, and currently coordinates extended science team activities for the mission. He is actively involved in the quantitative analysis of satellite information, including the use of uncertainty quantification (UQ) algorithms and observing system simulation experiments (OSSEs). He is also actively engaged in the development of new data assimilation and retrieval algorithms, particularly in a Bayesian probabilistic context.
His research interests include: remote sensing of cloud and precipitation properties, numerical modeling of cloud systems, and the use of Bayesian algorithms in the development of new data assimilation methodologies and remote sensing techniques. He has experience as a user and developer of the NASA Goddard Earth Observing System (GEOS) model, the NASA Goddard Cumulus Ensemble (GCE) model, the NCAR Cloud Model (CM1), and the Weather Research and Forecasting (WRF) model.
Dr. Posselt is currently a member of the science teams for the Cyclone Global Navigation Satellite System (CYGNSS), Aerosols Clouds Ecosystems (ACE), and CloudSat missions.