A33A:
Advances in Atmospheric Data Assimilation and Inverse Modeling I Posters

Submit an Abstract to this Session



Session ID#: 30697

Session Description:
This session focuses on recent and novel development and application of data assimilation (DA) and inverse modeling approaches in atmospheric science, featuring new approaches and applications with new or proposed future measurement systems. We invite contributions related to advances in: 1) efficient operational algorithms (e.g., variational, ensemble, and hybrid approaches) for DA, inversion, and sensitivity analysis; 2) multi-species and/or coupled DA; 3) assimilating ‘big’ data, complex, and/or new observations; 4) characterizing and quantifying model and observation errors and uncertainties; 5) estimating emissions and fluxes of gases and aerosols; 6) development, validation, and inter-comparison of reanalysis products; and 7) Observing System Simulation Experiments (OSSE) including simulation of realistic observations, validation of Nature Runs, and data assimilation experiments using simulated observations.
Primary Convener:  Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Conveners:  Isaac Moradi, CICS/ESSIC, University of Maryland, College Park, MD, United States, Nancy L Baker, U.S. Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States and Daven K Henze, University of Colorado Boulder, Boulder, United States
Chairs:  Sebastian Milinski, National Center for Atmospheric Research, Boulder, United States, Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States, Isaac Moradi, CICS/ESSIC, University of Maryland, College Park, MD, United States and Sayed M. Bateni, University of Hawaii at Manoa, Department of Civil and Environmental Engineering and Water Resources Research Center, Honolulu, United States
OSPA Liaison:  Sayed M. Bateni, University of Hawaii at Manoa, Civil and Environmental Engineering and Water Resources Research Center, Honolulu, HI, United States

Cross-Listed:
  • H - Hydrology
  • IN - Earth and Space Science Informatics
  • NG - Nonlinear Geophysics
  • OS - Ocean Sciences
Index Terms:

0322 Constituent sources and sinks [ATMOSPHERIC COMPOSITION AND STRUCTURE]
1910 Data assimilation, integration and fusion [INFORMATICS]
3260 Inverse theory [MATHEMATICAL GEOPHYSICS]
3315 Data assimilation [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Assimilation of all-weather GMI and ATMS observations into HWRF (236142)
Isaac Moradi, CICS/ESSIC, University of Maryland, College Park, MD, United States; NASA Goddard Space Flight Center, Global Modeling and Assimilation Office (GMAO), Greenbelt, United States, Frank Evans, University of Colorado Boulder, Atmospheric and Ocean Sciences, Boulder, CO, United States, Will McCarty, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Frank Marks, NOAA/AOML/Hurricane Research Division, Key Biscayne, FL, United States and Patrick Eriksson, Chalmers University of Technology, Department of Space, Earth and Environment, Gothenburg, Sweden
The OSSE Framework at the NASA Global Modeling and Assimilation Office (GMAO) (243635)
Nikki Prive1, Isaac Moradi2,3, Will McCarty1, Ronald M. Errico4 and Ron Gelaro1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)CICS/ESSIC, University of Maryland, College Park, MD, United States, (3)NASA Goddard Space Flight Center, Global Modeling and Assimilation Office (GMAO), Greenbelt, United States, (4)Morgan State University, Baltimore, MD, United States
Potential predictability and forecast skill in ensemble climate forecast: the skill-persistence rule (230521)
Yishuai Jin, Ocean University of China, Qingdao, China, Xinyao Rong, Chinese Academy of Meteorological Sciences, Beijing, China, Beijing, China and Zhengyu Liu, University of Wisconsin, Atmospheric, Oceanic, and Space Sciences, Madison, United States
Impact of RO Dynamic Observation Error Estimate on NWP Using the NCEP GFS/GSI System (282611)
Hailing Zhang1, Shu-Peng Ho1 and Ying-Hwa Kuo2, (1)COSMIC Program Office, University Corporation for Atmospheric Research, Boulder, CO, United States, (2)University Corporation for Atmospheric Research, UCAR Community Programs, Boulder, United States
Estimation of snow emissivity via assimilation of multi-frequency passive microwave data into an ensemble-based data assimilation system (280744)
Leila Farhadi, George Washington University, Department of Civil and Environmental Engineering, Washington, DC, United States, Sayed M. Bateni, University of Hawaii at Manoa, Department of Civil and Environmental Engineering and Water Resources Research Center, Honolulu, United States, Thomas Auligne, Joint Center for Satellite Data Assimilation (JCSDA), Boulder, United States and Mahdi Navari, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
Impact of Ozone Radiative Feedbacks on Global Weather Forecasting (282657)
Irena Ivanova1, Jean de Grandpré1, Yves J Rochon2 and Michael Sitwell2, (1)Environment and Climate Change Canada, Air Quality Research Division, Dorval, QC, Canada, (2)Environment and Climate Change Canada, Air Quality Research Division, Toronto, ON, Canada
Constraining biosphere CO2 flux at regional scale with WRF-CO2 4DVar assimilation system (252855)
Tao Zheng, Central Michigan University, Mount Pleasant, MI, United States
Impact of a Ground Network of Miniaturized Laser Heterodyne Radiometers (mini-LHRs) on Global Carbon Flux Estimates (256383)
AJ DiGregorio, Science Systems and Applications, Inc., Lanham, MD, United States, Emily Lynn Wilson, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Paul I Palmer, University of Edinburgh, School of GeoSciences, Edinburgh, United Kingdom, Jianping Mao, Earth System Science Interdisciplinary Center, COLLEGE PARK, MD, United States and Liang Feng, University of Edinburgh, NCEO, Edinburgh, EH9, United Kingdom
Sensitivity of CAM-Chem/DART MOPITT CO Assimilation Performance to the Choice of Ensemble System Configuration: A Case Study for Fires in the Amazon (237509)
Avelino F Arellano Jr, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Wenfu Tang, National Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling Laboratory, Boulder, CO, United States
CATS Near Real Time Data Products: Applications for Assimilation into the NASA GEOS-5 AGCM (258899)
Dennis L Hlavka1, Edward P Nowottnick2, John E Yorks3, Arlindo da SIlva4, Matthew J McGill5, Stephen P Palm6, Patrick A Selmer7, Rebecca Pauly4 and Scott Ozog8, (1)Science Systems and Applications, Inc., Lanham, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)Mesoscale Atmospheric Processes Laboratory, NASA/GSFC, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)NASA GSFC, Greenbelt, United States, (6)Science Systems and Applications, Inc., NASA/GSFC, Greenbelt, United States, (7)SSAI/NASA GSFC, Greenbelt, United States, (8)University of Maryland College Park, College Park, MD, United States
Background concentrations for high resolution satellite observing systems of methane (269690)
Joshua Simon Benmergui1, Adrienne Margaret Propp1, Alexander J. Turner2 and Steven C Wofsy3, (1)Harvard University, Cambridge, MA, United States, (2)University of Washington, Seattle, WA, United States, (3)Harvard University, Cambridge, United States
Regional inverse modeling for high reactive species with PYVAR-CHIMERE (269815)
Audrey Fortems-Cheiney1, Isabelle Pison2, Gaëlle Dufour1, Gregoire Broquet2 and Lorenzo Costantino3, (1)LISA Laboratoire Interuniversitaire des Systèmes Atmosphériques, Créteil Cedex, France, (2)LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France, (3)VEDECOM, Paris, France
A Fast Method for Optimal Tuning of Observation and Prior Error Statistics in High-dimensional Bayesian Inversions: Application to Methane Source Estimation Over the US (226779)
Nicolas Bousserez, University of Colorado at Boulder, Boulder, CO, United States, Daven K Henze, University of Colorado Boulder, Department of Mechanical Engineering, Boulder, United States, Yuyan Cui, CIRES, Boulder, CO, United States and Zhen Liu, Ramboll ENVIRON International Corporation Novato, Novato, CA, United States
Optimizing Fukushima Emissions Through Pattern Matching and Genetic Algorithms (260680)
Donald D Lucas1, Matthew D Simpson1, Cameron-Smith Philip2 and Ronald Baskett1, (1)Lawrence Livermore National Laboratory, Livermore, CA, United States, (2)Lawrence Livermore National Laboratory, Livermore, United States
The potential for geostationary remote sensing of NO2 to improve weather prediction (299536)
Xueling Liu, University of California Berkeley, Berkeley, CA, United States, Arthur P Mizzi, NCAR/MMM/FL2, NASA Ames Research Center/BAERI, Moffett Field, United States, Jeffrey L Anderson, NCAR, Boulder, United States, Inez Y Fung, University of California, Berkeley, Department of Earth and Planetary Science, Berkeley, United States and Ronald C Cohen, White House Office of Science and Technology Policy, Washington, DC, United States

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