Session 1 Assimilation of Satellite Data to Improve the Analysis and Forecast of Land Surfaces, Oceans, and Air Quality

Wednesday, 25 January 2017: 8:30 AM-10:00 AM
Conference Center: Yakima 2 (Washington State Convention Center )
Host: Fifth AMS Symposium on the Joint Center for Satellite Data Assimilation
Cochairs:
Michael Ek, NOAA, Environmental Modeling Center, College Park, MD and Nancy Baker, NRL, Satellite Meteorological Applications - Code 7541, Monterey, CA

Papers:
8:30 AM
1.1
Assimilation of AIRS observations to improve the initial condition for the Asian dust model
Young-Chan Noh, Seoul National University, Seoul, Korea, Republic of (South); and B. J. Sohn, M. E. Park, and J. H. Cho
Recorded Presentation

8:45 AM
1.2
Optimizing Data Assimilation Strategy for a Global Aerosol Model with a Multi-Sensor Constellation
Edward Hyer, NRL, Monterey, CA; and P. Lynch and J. Zhang
Recorded Presentation

Handout (7.6 MB)

9:00 AM
1.3
Improved Air Quality Modeling in the NASA GEOS-5 Model Using a Multispecies Data Assimilation System of Tropospheric Constituents
Christoph A. Keller, NASA GMAO/USRA, Greenbelt, MD; and D. J. Jacob, M. S. Long, B. Weir, K. Wargan, A. Chatterjee, and S. Pawson
Recorded Presentation

9:15 AM
1.4
Improving NCEP Global Aerosol Forecasts by Data Assimilation of VIIRS Aerosol Products
Shih Wei Wei, SUNY, Albany, NY; and Q. Zhao, S. P. Chen, J. Wang, P. Bhattacharjee, S. Kondragunta, J. McQueen, and S. Lu
Recorded Presentation

9:30 AM
1.5
Validate FASTEM Model by Using Well-Calibrated ATMS Observations
Hu Yang, University of Maryland, College Park, MD; and F. Weng
Recorded Presentation

1.6
The Effect of Joint Assimilation of Soil Moisture and Leaf Area Index to Improve Seven-day Land Surface Forecasts over Grassland

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