Poster Session 3 |
| | Data Assimilation |
| | Organizer: Marie Colton, NOAA/NESDIS/ORA, Camp Springs, MD
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| | P3.1 | Rapid Transmittance Studies at NOAA 
Larry M. McMillin, NOAA/NESDIS, Camp Springs, MD; and X. Xiong |
| | P3.2 | The Merger of OPTRAN and RTTOV
Thomas J. Kleespies, NOAA/NESDIS, Camp Springs, MD |
| | P3.3 | Toward direct uses of satellite cloudy radiances in NWP models. Part I: forward and adjoint models
Fuzhong Weng, NOAA/NESDIS/ORA, Camp Springs, MD; and Q. Liu |
| | P3.4 | Toward direct uses of satellite cloudy radiances in NWP models. part II: radiance simulations at microwave frequencies
Xiaofan Li, NOAA/NESDIS/ORA, Camp Springs, MD; and F. Weng |
| | P3.5 | Toward Direct Uses of Satellite Cloudy Radiances in NWP Models. Part III: Sensitivity study of cloud particle size and shape on Stokes vector
Quanhua Liu, CIRA/Colorado State Univ., Camp Springs, MD; and A. Heidinger and F. Weng |
| | P3.6 | Toward Direct Uses of Satellite Cloudy Radiances in NWP Models. Part IV: 1Dvar Retrievals of Atmospheric and Surface Parameters
Banghua Yan Sr., Decision Systems Technologies, Inc., Camp Springs, MD; and F. Weng and M. Goldberg |
| | P3.7 | Use of AMSU-B radiances in the Canadian Meteorological Centre 3D-var system
Jacques Hallé, CMC, Dorval, QC, Canada; and C. Chouinard |
| | P3.8 | A hybrid approach to the bias correction of AMSU—A radiance data
William F. Campbell, NRL, Monterey, CA; and N. L. Baker |
| | P3.9 | Variational retrieval of Eastern Pacific atmospheric boundary layer parameters using ATOVS with the COAMPSTM mesoscale forecast system
Grant A. Cooper, NPS, Monterey, CA; and N. L. Baker and P. A. Durkee |
| | P3.10 | Assimilation of retrieved water vapor profiles into the Navy Operational Global Atmospheric Prediction System (NOGAPS)
Clay B. Blankenship, NRL, Monterey, CA; and N. L. Baker |
| | P3.11 | Assimilation of water vapor radiances from geostationary imagers in 4DVAR
Christina B. Köpken, ECMWF, Reading, Berks., United Kingdom; and G. Kelly and J. N. Thépaut |
| | P3.12 | Evaluating Water Vapor and Cloud Retrievals from MODIS Over Antarctica
Robert M. Aune, NOAA/NESDIS, Madison, WI; and R. Frey and S. Wetzel-Seemann |
| | P3.13 | Estimation of Observation Value using the NAVDAS Adjoint System
Rolf H. Langland, NRL, Monterey, CA; and N. L. Baker |
| | P3.14 | Impact of MODIS winds on DAO systems
Yanqiu Zhu, Data Assimilation Office, NASA/GSFC, Greenbelt, MD; and L. P. Riishojgaard |
| | P3.15 | Use of Satellite-Derived Atmospheric Motion Vectors in Simulations of Cyclones During PACJET
Katherine M. La Casse, CIMSS/University of Wisconsin, Madison, WI; and M. C. Morgan |
|  | P3.16 | A New Data Assimilation Technique for Satellite Derived Winds
David F. Parrish, NOAA/NWS/NCEP, Camp Springs, MD; and J. A. Jung and J. M. Daniels |
| | P3.17 | Analysis impact of modified height assignment for satellite winds
Lars Peter Riishojgaard, Data Assimilation Office, NASA/GSFC, Greenbelt, MD; and Y. Zhu |
| | P3.18 | Impact studies of the assimilation of GOES imaging channels
Louis Garand, MSC, Dorval, QC, Canada; and N. Wagneur |
| | P3.19 | Observed Impact of GOES Derived Product Data on the LAPS Local Forecasts
Daniel L. Birkenheuer, NOAA/FSL, Boulder, CO; and B. Shaw |
| | P3.20 | The Usage of GOES Imager Clear-Sky Radiance in the NCEP Global Data Assimilation System
Xiujuan Su, SAIC at NOAA/NWS/NCEP, Camp Springs, MD; and J. Derber, J. Jung, Y. Tahara, D. Keyser, and R. Treadon |
| | P3.21 | Verification of mesoscale numerical model forecasts using remotely-sensed observations
Derek J. Posselt, CIMSS/Univ. of Wisconsin, Madison, WI; and W. F. Feltz, T. Schmit, and D. D. Turner |
| | P3.22 | Potential impact of Visible and Infrared satellite measurements in cloud data assimilation
T. Vukicevic, CIRA/Colorado State University, Ft. Collins, CO; and T. Greenwald, M. Zupanski, D. Zupanski, and T. H. Vonder Haar |