A053
Data Assimilation, Reanalysis, and Observing System Simulation Experiments: Theory and Applications
Data Assimilation, Reanalysis, and Observing System Simulation Experiments: Theory and Applications
Session ID#: 75210
Session Description:
Data assimilation is a sequential process that incorporates satellite and in-situ observations into a background state (forecast) provided by the NWP models. The model state is then updated and a new forecast is initiated which will be used to provide the background state for the next assimilation cycle. This session is devoted to assimilation of spaceborne and conventional observations into NWP models; development, validation, and inter-comparison of reanalysis products; new advanced statistical and mathematical methods for data assimilation; as well as Observing System Simulation Experiments (OSSE) including simulation of realistic observations, validation of Nature Runs, and data assimilation experiments using simulated observations.
Co-Sponsor(s):
- AMS: American Meteorological Society -
Index Terms:
0520 Data analysis: algorithms and implementation [COMPUTATIONAL GEOPHYSICS]
1855 Remote sensing [HYDROLOGY]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]
Primary Convener: Isaac Moradi, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office (GMAO), Greenbelt, MD, United States
Conveners: Nancy L Baker, Marine Meteorology Division, Naval Research Lab, Monterey, CA, United States, Daryl Kleist, NOAA/NCEP/EMC, College Park, United States and Robert M Atlas, NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, United States
Primary Liaison: Robert M Atlas, NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, United States
See more of: Atmospheric Sciences
