Session Proposal: Data Assimilation, Inverse Methods, Reanalysis, and Observing System Simulation Experiments I (2016 AGU Fall Meeting)

A22B:
Data Assimilation, Inverse Methods, Reanalysis, and Observing System Simulation Experiments I

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Session ID#: 16146

Session Description:

Inverse problems are routinely used to derive geophysical variables from satellite observations or assimilate satellite observations into NWP models. This session is devoted to assimilation of satellite and GPS-RO 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.

Primary Convener: Isaac Moradi, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office (GMAO), Greenbelt, United States

Conveners: Thomas Auligne, NOAA College Park, College Park, United States; Joint Center for Satellite Data Assimilation (JCSDA), Boulder, United States, Nancy L Baker, U.S. Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States and Zhaoxia Pu, University of Utah, Atmospheric Sciences, Salt Lake City, UT, United States

Chairs: Isaac Moradi, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office (GMAO), Greenbelt, United States, Thomas Auligne, Joint Center for Satellite Data Assimilation (JCSDA), Boulder, United States; NOAA College Park, College Park, United States, Nancy L Baker, U.S. Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States and Zhaoxia Pu, University of Utah, Atmospheric Sciences, Salt Lake City, UT, United States

OSPA Liaison: Isaac Moradi, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office (GMAO), Greenbelt, United States

Co-Organized with:
Nonlinear Geophysics, and Nonlinear Geophysics

Cross-Listed:

NG - Nonlinear Geophysics

Proposed Co-Organized Session with:

NG - Nonlinear Geophysics

Index Terms:

0520 Data analysis: algorithms and implementation [COMPUTATIONAL GEOPHYSICS]
1910 Data assimilation, integration and fusion [INFORMATICS]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
3336 Numerical approximations and analyses [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Current Status and Challenges of Atmospheric Data Assimilation (Invited) (134400)

Ron Gelaro, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, MD, United States

Estimation of Global Surface Carbon Fluxes Using Advanced Data Assimilation (Invited) (142440)

Eugenia Kalnay, University of Maryland College Park, Department of Atmospheric and Oceanic Science, College Park, MD, United States, Ghassem Asrar, Joint Global Change Research Institute, College Park, MD, United States, Ning Zeng, University of Maryland, Department of Atmospheric and Oceanic Science, College Park, China and Yun Liu, University of Maryland College Park, College Park, MD, United States

Adjoint-Based Forecast Error Sensitivity Diagnostics in Data Assimilation (Invited) (142935)

Rolf Langland, US Naval Research Laboratory, Washington, DC, United States and Dacian Daescu, Portland State University, Department of Mathematics and Statistics, Portland, United States

Assessing the Impact of Observations on the Prediction of Effective Atmospheric Angular Momentum from NAVGEM (129723)

Nancy L Baker, Naval Research Lab Monterey, Marine Meteorology, Monterey, CA, United States and Rolf Langland, US Naval Research Laboratory, Washington, DC, United States

Investigating data assimilation system performance with an Observing System Simulation Experiment (136220)

Nikki Prive, NASA Goddard Space Flight Center, Greenbelt, MD, United States

Supporting smarter, healthier and greener societies: the dawn of operational environmental information services Some examples from the Copernicus Atmosphere Monitoring Service (CAMS) programme in Europe (163222)

Vincent-Henri Peuch, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom