Poster Session 8 Next-Generation Satellite Observing Systems - Posters

Thursday, 30 September 2010: 2:30 PM-4:00 PM
ABC Pre-Function (Westin Annapolis)
Host: 17th Conference on Satellite Meteorology and Oceanography
Chair:
Steven J. Goodman, NOAA/NESDIS/GOES-R Program Office, GOES-R Program Office, Greenbelt, MD

Papers:
P8.1
GOES-R ABI spectral sensitivity analysis using hyperspectral observations
Francis P. Padula, GeoThinkTank LLC, Alexandria, VA; and C. Cao

P8.2
NOAA Science Test Results from the GOES-14 and -15 Imager and Sounder
Timothy J. Schmit, NOAA/NESDIS/STAR, Madison, WI; and D. W. Hillger, A. S. Bachmeier, and M. M. Gunshor

P8.3
Direct readout from NOAA satellites
Paul Seymour, NESDIS, Suitland, MD; and M. Perkins and K. Metcalf

P8.4
Application of Lightning Measurements to Tropical Cyclone Rapid Intensity Change Forecasting
Mark DeMaria, NOAA/NESDIS, Fort Collins, CO; and J. A. Knaff, R. T. DeMaria, J. Kaplan, and N. W. Demetriades

P8.5
Diagnosing storm intensity using coupled TRMM Lightning Imaging Sensor and Meteosat Second Generation in preparation for GOES-R
Wayne M. MacKenzie Jr., University of Alabama in Huntsville, Huntsville, AL; and J. R. Mecikalski

P8.6
GOES-R Risk Reduction Program
Ingrid Guch, NOAA/NESDIS, Camp Springs, MD; and M. DeMaria

P8.7
GOES-R Legacy Atmospheric Profile Retrieval Algorithm For Final Delivery
Xin Jin, NOAA/NESDIS, Camp Springs, MD; and J. Li, T. J. Schmit, M. Goldberg, W. Wolf, G. D. Martin, and S. Sampson

P8.8
IDEA as a template for an Air Quality Proving Ground (AQPG) for GOES-R
Hai Zhang, JCET/Univ. of Maryland, Baltimore, MD; and R. M. Hoff and S. Kondragunta

P8.9
Aerosol Detection product with GOES-R Advanced Baseline Imager (ABI) measurements
Pubu Ciren, Dell PSGS INC., Camp Spring, MD; and S. Kondragunta and I. Laszlo

P8.10
The GOES-R ABI Wild Fire Automated Biomass Burning Algorithm development activities at CIMSS
Jay P. Hoffman, CIMSS/Univ. of Wisconsin, Madison, WI; and C. C. Schmidt and E. M. Prins

P8.11
Ozone estimation with the GOES-R Advanced Baseline Imager: proxy data studies
Christopher C. Schmidt, CIMSS/Univ. of Wisconsin, Madison, WI; and J. P. Hoffman

P8.12
The GOES-R hydrology algorithms part I: Rainfall rate
Robert Kuligowski, NOAA/NESDIS, Camp Springs, MD; and Y. Li

P8.13
The GOES-R hydrology algorithms part II: Rainfall potential
Robert J. Kuligowski, NOAA/NESDIS, College Park, MD; and Z. Zhang and V. Lakshmanan

P8.14
The GOES-R hydrology algorithms part III: Probability of rainfall
Robert J. Kuligowski, NOAA/NESDIS, College Park, MD

P8.15
Footprint matching for the advanced technology microwave sounder
Thomas J. Kleespies, NOAA/NESDIS, Camp Springs, MD

Handout (202.8 kB)

P8.16
Developing Calibration Support for the Space Weather Instruments for GOES-R
Jonathan M. Darnel, IMSG, Camp Springs, MD; and W. Rowland and C. Cao

P8.17
Evaluation of Space Based Doppler Wind Lidar in Joint OSSEs
Michiko Masutani, NOAA/NWS/EMC, Camp Springs, MD; and L. P. Riishojgaard, G. D. Emmitt, S. Greco, S. A. Wood, and J. S. Woollen

P8.18
Pre-Launch Characterization of the Sounding Environmental Data Records (EDRs) Performance
Lihang Zhou, JPSS Program Office, Silver Spring, MD; and C. D. Barnet, D. Gu, H. Kilcoyne, J. Feeley, G. Trumbower, C. Hoffman, G. A. Bingham, and K. St Germain

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