Arlindo Da Silva

Dr. Arlindo da Silva is a Research Meteorologist at the Global Modeling and Assimilation Office (GMAO, formerly DAO), NASA/Goddard Space Flight Center, where he has worked since 1994. Prior to joining the GMAO, Dr. da Silva held a faculty position at the University of Wisconsin-Milwaukee from 1990-1993, and was a Visiting Scientist at Princeton University/Geophysical Fluid Dynamics Laboratory from 1989-1990.

Originally trained as a physicist and atmospheric dynamicist, Dr. da Silva’s research has spanned a number of related topics in the last decades: dynamics of stationary and transient atmospheric waves, numerical modeling of Lake Michigan, estimation of fluxes of heat, momentum, and fresh water fluxes over the global oceans, climate diagnostics, including aerosol forcing of climate, hydrological cycle of the subtropics and Amazon basin and data assimilation. Since joining GSFC Dr. da Silva’s research has focused on techniques for 4-dimensional data assimilation, including physical-space analysis systems, error covariance modeling, forecast bias estimation and correction, quality control of observations, land-surface, precipitation, aerosol and constituent data assimilation. Dr. da Silva was the lead developer for the Physical-space Statistical Analysis System (PSAS), GEOS-4 atmospheric data assimilation system, the Quick Fire Emission Dataset (QFED), and the Goddard Aerosol Assimilation System within GEOS-5. Dr. da Silva was the data assimilation PI for the original Earth System Modeling Framework (ESMF) project and currently serves in the ESMF executive board. Since 2014 Dr. da Silva is the Science Study Lead for the Aerosol-Cloud-Ecosystems (ACE) Decadal Survey Mission. Dr. da Silva has been active in the open source software community being the founder and main developer of the OpenGrADS Project (http://opengrads.org).