Ronald Errico, Visiting Principal Scientist, Earth Sciences

Ronald Errico

Contact Info

Bldg 33, Room C223
Greenbelt, MD 20771
Phone: 301-614-6402

Research Interests

Adjoint model development and application, atmospheric dynamic balance, observing system simulation experiments, atmospheric data assimilation.


Dr. Ronald Errico received a B.S. in physics from the University of Arizona in 1974, where he also took several graduate courses in meteorology. His Ph.D. in meteorology was received in 1979 from the Massachusetts Institute of Technology. With E. N. Lorenz as his adviser, his thesis entitled "The partitioning of energy between geostrophic and ageostrophic modes" examined the fundamentals of why the atmosphere is quasi-geostrophic. It won the department's award for best thesis that year at the recommendation of Jules Charney. Applications of this thesis have continued throughout his career. After completing his degree, Ron joined the Advanced Study Program at the National Center for Atmospheric Research (NCAR) as a postdoc, followed by a staff appointment in 1981 within NCAR's Large Scale Dynamics Section of its Atmospheric Analysis and Prediction Division. In 1994 he was appointed Senior Scientist in the Climate and Global Dynamics Division there. While at NCAR, he developed the Mesoscale Data Assimilation System, which was the first weather prediction model with a complete and useful adjoint of all its physics. Ron had sabbaticals at the Naval Research Laboratory in Monterey from March 1989 to April 1990 and at ECMWF for seven months in 1996. He left NCAR to join GEST (later GESTAR) and work at NASA's Data Assimilation Office (later Global Modeling and Assimilation Office)in July 2002. Since 1992, he has been chief organizer of 15 international workshops, including 10 of the 11 International Workshops on the Applications of Adjoint Models in Dynamic Meteorology and five on various aspects of data assimilation. His past work has included examination of atmospheric balance, development and application of atmospheric adjoint models, atmospheric predictability, scale analysis, regional climate modeling, and data assimilation. His most current work has regarded development, validation, and application of an Observing System Simulation Experiment capability at the GMAO.