Abstract: Using polarimetric radar observations and probabilistic inference to develop the Bayesian Observationally-constrained Statistical-physical Scheme (BOSS), a novel microphysical parameterization framework (2016 AGU Fall Meeting)

Using polarimetric radar observations and probabilistic inference to develop the Bayesian Observationally-constrained Statistical-physical Scheme (BOSS), a novel microphysical parameterization framework

Marcus van Lier Walqui, Columbia University, Center for Climate Systems Research, New York, United States, Hugh Morrison, National Center for Atmospheric Research, Boulder, CO, United States, Matthew R Kumjian, The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, PA, United States and Olivier P Prat, North Carolina Institute for Climate Studies, North Carolina State University, Asheville, United States

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