Session: Data Assimilation (83rd Annual)

P3.1

Rapid Transmittance Studies at NOAA

Larry M. McMillin, NOAA/NESDIS, Camp Springs, MD; and X. Xiong

Poster PDF (18.3 kB)

P3.2

The Merger of OPTRAN and RTTOV

Thomas J. Kleespies, NOAA/NESDIS, Camp Springs, MD

Poster PDF (207.4 kB)

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

Poster PDF (30.0 kB)

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

Poster PDF (512.9 kB)

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

Poster PDF (202.4 kB)

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

http://iweb.cmc.ec.gc.ca/cmc/bibliotheque/ASSIMILATION/tovs_processing.pdf

Poster PDF (177.9 kB)

P3.8

A hybrid approach to the bias correction of AMSU—A radiance data

William F. Campbell, NRL, Monterey, CA; and N. L. Baker

Poster PDF (555.5 kB)

P3.9

Variational retrieval of Eastern Pacific atmospheric boundary layer parameters using ATOVS with the COAMPS^TM 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

Poster PDF (218.6 kB)

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

Poster PDF (1.2 MB)

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

Poster PDF (280.7 kB)

P3.13

Estimation of Observation Value using the NAVDAS Adjoint System

Rolf H. Langland, NRL, Monterey, CA; and N. L. Baker

Poster PDF (154.9 kB)

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

Poster PDF (497.5 kB)

P3.16

A New Data Assimilation Technique for Satellite Derived Winds

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

Poster PDF (1.7 MB)

P3.19

Observed Impact of GOES Derived Product Data on the LAPS Local Forecasts

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

Poster PDF (2.3 MB)

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

Poster PDF (336.3 kB)

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

http://668756

Poster PDF (32.1 kB)

Poster Session 3: Data Assimilation