92nd American Meteorological Society Annual Meeting (January 22-26, 2012)
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Poster Session 1: Atmospheric and Oceanic Observations and Their Assimilation
Chair:
Shirley T. Murillo, NOAA/AOML/HRD
Papers:
237
Ocean Observatories Initiative (OOI)–A Major Leap Forward In Ocean Science and Observing Technology
Sue Banahan
, Consortium for Ocean Leadership, Washington, DC; and W. R. Bergen and A. Chave
238
Ocean Observing Initiative (OOI) Science Data and Products
Lorraine Heilman
, Consortium for Ocean Leadership, Washington, DC; and W. R. Bergen, S. Ackleson, and S. Webster
239
Integration of Satellite Image and In-Situ Observations for Analysis of Meso-Gamma Scale Eddies in the Marine Stratocumulus Photographed by Pilots near the California Coast
Bradley M. Muller
, Embry-Riddle Aeronautical University, Daytona Beach, FL; and C. G. Herbster and F. R. Mosher
240
Statistical Distributions of Singular Vectors for Tropical Cyclones Affecting the Korean Peninsula During Recent 10 Years
Sei-Young Park
, Yonsei Univ., Seoul, South Korea; and H. M. Kim
241
Assimilation of Attenuated Data from an X-band Radar Network for A Quasi Linear Storm Using the Ensemble Kalman Filter: Simulated data experiments
Jing Cheng
, University of Oklahoma, Norman, Oklahoma; and M. Xue
242
The North American Monsoon In California and Nevada As Delineated by GPS Precipitable Water
James D. Means
, SIO/Univ. Of California, La Jolla, CA
243
Performance Characteristics of the Vaisala Global Lightning Dataset (GLD360)
Ryan Said
, Stanford University, Stanford, CA; and A. Nag and N. Hembury
244
The Impacts of GPS Precipitable Water Vapor Assimilation in the JMA Global 4D-VAR Data Assimilation System
Koichi Yoshimoto
, Japan Meteorological Agency, Tokyo, Japan
245
Evaluation of the AirDat TAMDAR In-Situ Sensor's Turbulence Performance on Research and Commercial Aircraft
Daniel J. Mulally
, AirDat, LLC., Lakewood, CO; and D. Delene
246
Dual-Doppler Kinematical and Dynamical Retrieval Errors in a Simulated Supercell Thunderstorm
Corey K. Potvin
, NOAA/NSSL, Norman, OK; and L. J. Wicker
247
Evaluating the Impacts of NASA/SPoRT Daily Greenness Vegetation Fraction on Land Surface Model and Numerical Weather Forecasts
Jordan R. Bell
, University of Missouri, Columbia, MO; and J. L. Case, F. J. LaFontaine, and S. V. Kumar
248
Experiments of WRF Variational Data Assimilation on the Forecast of An Antarctic Cyclone
Kekuan Chu
, Nanjing, China; and Q. Xiao and C. Liu
249
New Developments in the Data Assimilation Research Testbed
Tim Hoar
, NCAR, Boulder, CO; and J. Anderson, K. Raeder, A. Karspeck, G. Romine, H. Liu, and N. Collins
250
Space-Based Doppler Wind Lidar, Scatterometer and Cloud Motion Wind Vector Simulations in Support of Ongoing Observing System Simulation Experiments
S. A. Wood
, Simpson Weather Associates, Charlottesville, VA; and G. D. Emmitt and S. Greco
251
An Observation Impact Tool for CPTEC LETKF: Implementation and Preliminary Results
Fabio Luiz R. Diniz
, INPE/CPTEC, Cachoeira Paulista, Sao Paulo, Brazil; and R. Todling, D. L. Herdies, and L. G. G. de Goncalves
252
Observation Impact of Satellite Winds in NASA GEOS-5 Forecast System
Dagmar Merkova
, NASA/GSFC, Greenbelt, MD; and R. Gelaro, M. Sienkievicz, N. L. Baker, and P. Pauley
253
Assessing the Value of Coastal Stations of West Africa Through Data Assimilation Using the WRF Model During NAMMA 2006
Johnathan Clark
, Howard University, Washington, DC; and G. Jenkins
254
Assimilation of Synthetic Aperture Radar (SAR) Wind Information in Environment Canada's Limited-Area Analysis System
Rick Danielson
, UCAR, Miami, FL; and L. Fillion and H. Ritchie
255
A Comparison Between 3D-Var and 4D-Var Techniques for a Radar Data Assimilation Case During CHUVA Experiment
Eder Paulo Vendrasco
, INPE, Cachoeira Paulista, Brazil; and C. F. Angelis and D. Herdies
256
Toward Producing a Beaufort/Chukchi Seas Regional Reanalysis
Jeremy R. Krieger
, University of Alaska Fairbanks, Fairbanks, AK; and J. Zhang, F. Liu, M. D. Shulski, W. Tao, and X. Zhang
See more of:
16th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)
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