Session: Fifth GOES Users' Confererence Poster Session (88th Annual Meeting (20-24 January 2008))

P1.1

ABI system overview

P1.2

ABI scan scenario capabilities

David Crain, GeoMetWatch, Las Vegas, NV; and P. Griffith

P1.3

Candidate approaches for the real-time generation of cloud properties from GOES-R ABI

Andrew K. Heidinger, NOAA/NESDIS, Madison, WI

P1.4

GOES-R architecture framework

John W. Linn III, Noblis, Falls Church, VA; and L. Shipley

P1.5

Development of the GOES-R AWG product processing system framework

Walter Wolf, NOAA/NESDIS/STAR, Camp Springs, MD; and L. Zhou, P. Keehn, Q. Guo, S. Sampson, S. Qiu, and M. D. Goldberg

P1.6

GOES-R Downlink Services for Users

John Schimm, Northrop Grumman, Redondo Beach, CA; and J. Castellon, L. Kincaid, and L. E. Urner

Poster PDF (169.3 kB)

P1.7

The GOES ABI ground processing development system

Jon Ormiston, ITT Space Systems Division, Fort Wayne, IN; and J. Blume, J. Ring, and J. Yoder

P1.8

Development of the GOES-R ABI Outgoing Longwave Radiation product

Hai-Tien Lee, University of Maryland, College Park, MD; and I. Laszlo and A. Gruber

Poster PDF (1.3 MB)

P1.9

Applying split window technique for land surface temperature measurement from GOES-R advanced baseline imager

Yunyue Yu, NOAA/NESDIS, Camp Springs, MD; and D. Tarpley, M. K. Rama Varma Raja, H. Xu, and K. Y. Vinnikov

P1.10

Development and validation of a BRDF model for ice mapping for the future GOES-R Advanced Baseline Imager (ABI) using Artificial Neural Network

Hosni Ghedira, NOAA-CREST, New York, NY; and M. Temimi, R. Nazari, P. Romanov, and R. Khanbilvardi

Poster PDF (624.7 kB)

P1.11

GOES-R wind retrieval algorithm development

Iliana Genkova, CIMSS/Univ. of Wisconsin, Madison, WI; and S. Wanzong, C. S. Velden, D. A. Santek, J. Li, E. R. Olson, and J. A. Otkin

http://cimss.ssec.wisc.edu/~ilianag/

P1.12

Validation of a GOES-R Broadband Shortwave Surface Transmission and TOA Albedo LUT method

Fred G. Rose, SSAI, Hampton, VA; and Q. Fu, I. Laszlo, and T. P. Charlock

Poster PDF (1.7 MB)

P1.13

Validation of the Community Radiative Transfer Model (CRTM) against AVHRR Clear-Sky Processor for Oceans (ACSPO) Nighttime Radiances for improved cloud detection and physical SST retrievals

XingMing Liang, NOAA/NESDIS, Camp Springs, MD; and A. Ignatov, Y. Kihai, A. K. Heidinger, Y. Han, and Y. Chen

Poster PDF (2.8 MB)

P1.14

Examining the MTSAT-1R solar channel calibration

Hyoung-wook Chun, Seoul National University, Seoul, South Korea; and B. J. Sohn

Poster PDF (128.6 kB)

P1.15

GOES-R ABI calibration approach

David S. Smith, ITT Space Systems Division, Fort Wayne, IN

P1.16

The Global Space-based Inter-Calibration System (GSICS): A status report

Xiangqian Wu, NOAA/NESDIS, Camp Springs, MD; and M. Goldberg

P1.17

Inter-calibration of geostationary imagers with MetOP/IASI hyperspectral measurements

Likun Wang, Dell Perot System, Camp Spring, MD; and C. Cao

P1.18

Generating synthetic infrared GOES-R ABI Images with AVHRR and GOES images

William J. Emery, Univ of Colorado, Boulder, CO; and C. Roessler

P1.19

Synthetic GOES-R Imagery Development and Uses

Lewis Grasso, CIRA/Colorado State Univ., Fort Collins, CO; and M. Sengupta and D. T. Lindsey

P1.20

Large-scale WRF model simulations used for GOES-R research activities

Jason A. Otkin, CIMSS/Univ. of Wisconsin, Madison, WI; and A. Huang, T. Greenwald, E. R. Olson, and J. Seiglaff

P1.21

New instrumentation for characterizing the Moon as a standard for space-based radiometry

Allan Smith, National Institute of Standards and Technology, Gaithersburg, MD; and S. Lorentz, H. Yoon, R. Datla, D. Pollock, T. C. Stone, and J. Tansock

P1.22

Preliminary study of lunar calibration for geostationary imagers

Seiichiro Kigawa, Japan Meteorological Agency, Kiyose-shi, Tokyo, Japan; and K. Miyaoka

P1.23

Synthesis of Angular Distribution Models (ADMs) for use in Radiative Flux Estimates from the Advanced Baseline Imager (ABI)

Xiaolei Niu, University of Maryland, College Park, MD; and R. Pinker

P1.24

Use of SEVIRI cloud properties to simulate radiative fluxes from GOES-R ABI

R. T. Pinker, University of Maryland, College Park, MD; and R. Hollmann and H. Wang

P1.25

Effect of GOES-R image navigation and registration errors on atmospheric motion vectors

Gary J. Jedlovec, NASA/MSFC/Short-Term Prediction Research and Transition (SPoRT) Center, Huntsville, AL

P1.26

GOES-13 End-to-End INR Performance Verification and Post Launch Testing

Christopher A. Carson, Boeing Space & Intelligence Systems, Las Cruces, NM; and J. L. Carr and C. Sayal

Poster PDF (1.5 MB)

P1.27

The ABI Image and Navigation Registration

Ken Ellis, ITT Space Systems Division, Fort Wayne, IN; and K. Gounder, P. Griffith, D. Igli, A. Kamel, J. Ogle, and V. Virgilio

P1.28

The ABI star sensing and star selection

Ken Ellis, ITT Space Systems Division, Fort Wayne, IN; and K. Gounder, P. Griffith, E. Hoffman, D. Igli, J. Ogle, and V. Virgilio

Poster PDF (295.1 kB)

P1.29

ABI instrument performance simulation

Ken Ellis, ITT Space Systems Division, Fort Wayne, IN; and R. D. Forkert, J. Witulski, and V. N. Virgilio

P1.30

GOES-R Proxy Data Management System

Tong Zhu, NOAA/NESDIS, Camp Springs, MD; and M. J. Kim, F. Weng, M. Goldberg, A. Huang, M. Sengupta, D. K. Zhou, and B. Ruston

Poster PDF (166.9 kB)

P1.31

Simulation of GOES-R ABI Radiances for OSSE

Tong Zhu, NOAA/NESDIS, Camp Springs, MD; and F. Weng, M. Masutani, S. Lord, J. Woollen, Q. Liu, and S. A. Boukabara

Poster PDF (231.0 kB)

P1.32

Multi-spectral precipitation estimation using Artificial Neural Networks

Ali Behrangi, Center for Hydrometeorology and Remote Sensing (CHRS), Irvine, CA; and K. L. Hsu, S. Sorooshian, and R. Kuligowski

P1.33

Improving Nowcasting of convective storm development using MSG SEVIRI, MODIS, and GOES-12 imagery as risk reduction for GOES-R ABI

Kristopher M. Bedka, CIMSS/Univ. of Wisconsin, Madison, WI; and W. F. Feltz, J. Sieglaff, and J. R. Mecikalski

P1.34

GOES Winter Precipitation efficiency algorithm

Robert M. Rabin, NOAA/NSSL, Norman, OK; and J. Hanna

P1.35

Proxy ABI datasets relevant for fire detection that are derived from MODIS data

Scott S. Lindstrom, Univ. of Wisconsin-Madison SSEC/CIMSS, Madison, WI; and C. C. Schmidt, E. M. Prins, J. Hoffman, J. Brunner, and T. J. Schmit

Poster PDF (150.0 kB)

P1.36

Validating GOES active fire detection product using ASTER and ETM+

Wilfrid Schroeder, University of Maryland, College Park, MD; and I. Csiszar, E. M. Prins, C. C. Schmidt, and M. G. Ruminski

P1.37

GOES-R ABI fire detection and monitoring development activities

Christopher C. Schmidt, CIMSS/Univ. of Wisconsin, Madison, WI; and S. Lindstrom, J. Hoffman, J. Brunner, and E. M. Prins

P1.38

Quantifying uncertainties in fire size and temperature measured by GOES-R ABI

Manajit Sengupta, CIRA/Colorado State Univ., Fort Collins, CO; and L. Grasso, D. W. Hillger, R. Brummer, and M. DeMaria

Poster PDF (105.0 kB)

P1.39

Quality Assessment of the GOES-R AWG Level 2 Product Processing System

Lihang Zhou, Perot System, Fairfax, VA; and W. W. Wolf, S. Qu, P. Keehn, Q. Guo, S. Sampson, and M. D. Goldberg

P1.40

Trade-off studies on future GOES hyperspectral infrared sounding instrument

Jinlong Li, CIMSS/Univ. of Wisconsin, Madison, WI; and J. Li, T. J. Schmit, and J. J. Gurka

P1.41

Sounder options in the GOES-R era

David Crain, GeoMetWatch, Las Vegas, NV

P1.42

Hyperspectral infrared alone cloudy sounding algorithm development

Elisabeth Weisz, Univ. of Wisconsin/CIMSS, Madison, WI; and J. Li, C. Y. Liu, D. K. Zhou, H. L. Huang, and M. Goldberg

P1.43

Improved GOES water vapor products over CONUS � planning for GOES-R

Daniel Birkenheuer, NOAA/ESRL, Boulder, CO; and S. I. Gutman, S. Sahm, and K. Holub

Poster PDF (345.5 kB)

P1.44

Aerosol size density characterization for single scattering using Artificial Neural Network

Andres Bonilla, Univ. of Puerto Rico, Mayaguez, PR; and H. Parsiani

Poster PDF (1.0 MB)

P1.45

AER general 1D-Var retrieval infrastructure: transition from research to operations

Richard J. Lynch, AER, Inc., Lexington, MA; and J. L. Moncet, A. Lipton, D. Hogan, R. d'Entremont, and H. Snell

P1.46

The GOES-R User Readiness Group, engaging and preparing the users for GOES-R data

Kenneth H. Lowe, Noblis, Falls Church, VA; and M. Goldberg and J. Daniels

P1.47

Overview of GOES-R Analysis Facility for Instrument Impacts on Requirements (GRAFIIR) Planned Activities and Recent Progress

Allen Huang, CIMSS/Univ. of Wisconsin, Madison, WI; and M. Goldberg

P1.48

GOES-R Algorithm Working Group: Space weather team update

S. Hill, NOAA/NWS, Boulder, CO; and H. J. Singer, T. Onsager, R. Viereck, D. Biesecker, C. C. Balch, D. C. Wilkinson, M. Shouldis, P. Loto'aniu, J. Gannon, and L. Mayer

P1.49

Space weather products from the GOES-R magnetometer

Paul T.M. Loto'aniu, NOAA/NWS, Boulder, CO; and H. J. Singer

P1.50

Improving space weather forecasts using solar coronagraph data

Simon P. Plunkett, NRL, Washington, DC; and A. Vourlidas, D. R. McMullin, K. Battams, and R. C. Colaninno

P1.51

GOES-N EUVS observations during post-launch testing

Douglas J. Strickland, Computational Physics, Inc., Springfield, VA; and J. S. Evans, W. K. Woo, D. R. McMullin, S. P. Plunkett, and R. Viereck

P1.52

GOES-N EUVS field of view sensitivities and modeling

Donald R. McMullin, Praxis, Inc., Alexandria, VA; and D. J. Strickland, J. S. Evans, W. K. Woo, S. P. Plunkett, and R. Viereck

P1.53

Enhancing the Geostationary Lightning Mapper for improved performance

David B. Johnson, NCAR, Boulder, CO

Poster PDF (696.1 kB)

P1.54

A microwave sounder for geostationary orbit

Bjorn H. Lambrigtsen, JPL and California Institute of Technology, Pasadena, CA

P1.55

Activities of GOES-R land applications working group team

Dan Tarpley, NOAA/NESDIS, Camp Springs, MD; and Y. Yu, P. Romanov, E. Prins, K. Gallo, F. Kogan, H. Xu, M. K. RamaVarma Raja, K. Y. Vinnikov, M. Goldberg, S. Qiu, and J. L. Privette

P1.56

Seasonal, Diurnal, and Weather Related Variations of Clear Sky Land Surface Temperature: A Statistical Assessment

Konstantin Y. Vinnikov, University of Maryland, College Park, MD; and Y. Yu, M. K. Rama Varma Raja, J. D. Tarpley, and M. D. Goldberg

P1.57

Enhanced Observation Capability of the New Generation Geostationary Satellites for Better Vegetation Monitoring

Peter Romanov, University of Maryland and NOAA/NESDIS, Camp Springs, MD; and H. Xu and D. Tarpley

P1.58

Comparison of GOES cloud classification algorithms employing explicit and implicit physics

Richard L. Bankert, NRL, Monterey, CA; and C. Mitrescu, S. D. Miller, and R. H. Wade

Poster PDF (1.1 MB)

P1.59

Estimation of Sea and Lake Ice Characteristics with GOES-R ABI

Xuanji Wang, CIMSS/Univ. of Wisconsin, Madison, WI; and J. R. Key, Y. Liu, and W. Straka III

Poster PDF (1.5 MB)

P1.60

On the use of geostationary satellites for remote sensing in the high latitudes

Yinghui Liu, CIMSS/Univ. of Wisconsin, Madison, WI; and J. Key and X. Wang Sr.

P1.61

Operational GOES-SST and MSG-SEVIRI-SST products for GOES-R risk reduction

Eileen Maria Maturi, NOAA/NESDIS, Camp Springs, MD; and A. Harris, J. Mittaz, and J. Sapper

P1.62

Overview of the NESDIS heritage AVHRR Sea Surface Temperature Calibration/Validation system

Dilkushi De Alwis, NOAA/NESDIS and CIRA/Colorado State Univ., Camp Springs, MD; and A. Ignatov, J. Sapper, P. Dash, W. G. Pichel, Y. Kihai, and X. Li

P1.63

Validation of Real-Time GOES Products Using GLAS and CALIPSO Data

Louis Nguyen, NASA/LaRC, Hampton, VA; and P. Minnis, D. A. Spangenberg, J. K. Ayers, R. Palikonda, M. L. Nordeen, and T. L. Chee

P1.64

The Manual Cloud Filtering of GOES-satellite data through combined use of satellite and ground measurements

M. K. Rama Varma Raja, I. M. Systems Group, Inc. and NOAA/NESDIS/STAR, Camp Springs, MD; and Y. Yu, D. Tarpley, H. Xu, and K. Y. Vinnikov

P1.65

Status update from the GOES-R Hydrology Algorithm Team

Robert J. Kuligowski, NOAA/NESDIS, Camp Springs, MD

P1.66

Conditions influencing Hurricane Emily's (2005) precipitation patterns and upper tropospheric outflow

P1.67

Possible impacts of GOES-R temporal resolution on tropical cyclone intensity estimates

John L. Beven II, NOAA/AOML/NHC/TPC, Miami, FL; and C. S. Velden and T. L. Olander

P1.68

Verifying large-scale, high-resolution simulations of clouds for GOES-R activities

Thomas Greenwald, Univ. of Wisconsin, Madison, WI; and J. Sieglaff, Y. K. Lee, H. L. Huang, J. Otkin, E. Olson, and M. Gunshor

P1.69

Retrieving cloud properties for multilayered clouds using simulated GOES-R data

Fu-Lung Chang, National Institute of Aerospace, Hampton, VA; and P. Minnis, B. Lin, R. Palikonda, M. Khaiyer, S. Sun-Mack, and P. Yang

P1.70

Nighttime retrieval of cloud microphysical properties for GOES-R

Patrick W. Heck, CIMSS/Univ. of Wisconsin, Madison, WI; and P. Minnis, R. Palikonda, C. R. Yost, F. L. Chang, and A. K. Heidinger

Poster PDF (1.3 MB)

P1.71

Nearcasting convective destabilization using objective tools which optimize the impact of sequences of GOES moisture products

Ralph A. Petersen, CIMSS/University of Wisconsin, Madison, WI; and R. M. Aune

P1.72

Transitioning GOES-based nowcasting capability into the GOES-R era

Brian L. Vant-Hull, NOAA/CREST CCNY, New York, NY; and M. Ba, R. Rabin, D. S. Mahani, R. J. Kuligowski, A. Gruber, and S. B. Smith

P1.73

Nowcasting of Thunderstorms from GOES Infrared and Visible Imagery

Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK; and R. M. Rabin

Poster PDF (902.4 kB)

P1.74

Mission Availability Improvements for GOES-R

Larry E. Urner, Northrop Grumman, Redondo Beach, CA; and J. Castellon, M. Hanson, and S. Sawyer

Poster PDF (26.6 kB)

P1.75

Determination of aircraft icing threat from satellite

William L. Smith Jr., NASA/LaRC, Hampton, VA; and P. Minnis and D. A. Spangenberg

P1.76

Cloud statistics over agricultural and mixed forest areas

Valentine Anantharaj, Mississippi State University, Mississippi State, MS; and U. S. Nair, D. Berendes, S. Asefi, and J. G. Fairman Jr.

P1.77

Comparison of atmospheric profiles from hyperspectral and multispectral IR radiances on depicting hurricane thermodynamic structures

Hong Qiu, CIMSS/Univ. of Wisconsin, Madison, WI; and J. Li, E. Weisz, and C. Y. Liu

P1.78

Development of severe weather products for the GOES-R Advanced Baseline Imager

Daniel T. Lindsey, NOAA/NESDIS, Fort Collins, CO; and D. W. Hillger and L. Grasso

P1.79

Algorithm and Software Development of Atmospheric Motion Vector Products for the GOES-R ABI

Jaime M. Daniels, NOAA/NESDIS, Camp Springs, MD; and W. Bresky, C. Velden, I. Genkova, S. Wanzong, and D. Santek

P1.80

An enhanced IDEA product with GOES AOD

Hai Zhang, JCET/Univ. of Maryland, Baltimore, MD; and R. M. Hoff, S. Kondragunta, I. Laszlo, and A. Wimmers

P1.81

An initial assessment of the GOES Microburst Windspeed Potential Index

Kenneth L. Pryor, NOAA/NESDIS, Camp Springs, MD

http://www.orbit.nesdis.noaa.gov/smcd/opdb/kpryor/mburst/mwpi.html

Poster PDF (728.8 kB)

P1.82

GOES-R Applications for the Assessment of Aviation Hazards

Kenneth L. Pryor, NOAA/NESDIS, Camp Springs, MD; and W. Feltz, J. R. Mecikalski, M. Pavolonis, and W. L. Smith Jr.

http://ams.allenpress.com/perlserv/?request=get-abstract&doi=10.1175%2FBAMS-88-10-1589

P1.83

Application of Multi-Spectral Data to Space Shuttle Landing Operations

Doris A. Hood, NWS Spaceflight Meteorology Group, Houston, TX; and T. Garner and T. Oram

P1.84

Weather Information and Decision Systems (WxIDS): Looking to the future of data processing and decision support systems

Dylan Powell, Lockheed Martin, Greenbelt, MD; and J. A. Dutton, J. Ross, J. Sroga, C. F. Chang, R. Pickens, S. Pitter, K. Leesman, G. Young, P. G. Knight, N. L. Seaman, J. Nese, G. Haselfeld, R. Wessels, and M. Dhondt

P1.85

Development of simulated GOES products for the GFS and the NAM

Hui-ya Chuang, NOAA/NWS/NCEP, Camp Springs, MD; and B. Ferrier

P1.86

Current GOES Sounder applications and future needs

Jun Li, Univ. of Wisconsin, Madison, WI; and T. J. Schmit, J. J. Gurka, J. Daniels, M. D. Goldberg, and P. Menzel

P1.87

GOES-R ABI proxy data set generation at CIMSS

Mathew M. Gunshor, CIMSS/Univ. of Wisconsin, Madison, WI; and E. Olson, J. Sieglaff, T. Greenwald, A. Huang, and J. A. Otkin

P1.88

GOES-R mesoscale product development

Renate Brummer, CIRA/Colorado State Univ., Fort Collins, CO; and M. DeMaria, J. Knaff, B. H. Connell, J. F. Dostalek, and D. Zupanski

Poster PDF (105.5 kB)

P1.89

GOES-R/ABI legacy profile algorithm evaluation with MSG/SEVIRI

Xin Jin, NOAA/NESDIS, Camp Springs, MD; and J. Li, T. J. Schmit, J. Li, E. Weisz, and Z. Li

P1.90

High spatial and temporal resolution retrievals obtained from the combination of GOES-R multispectral ABI and joint polar satellite ultraspectral radiances

William Smith Sr., Hampton Univ., Hampton, VA; and S. Kireev, D. Zhou, A. M. Larar, X. Liu, M. D. Goldberg, and E. M. Maturi

P1.91

Real-time display of simulated GOES-R experimental products

Donald W. Hillger, NOAA/NEDSIS/StAR/RAMM Branch, Fort Collins, CO CO

P1.92

Recasting HYDRA into the next generation of McIDAS

Thomas D. Rink, CIMSS/Univ. of Wisconsin, Madison, WI; and T. Whittaker, T. H. Achtor, B. Flynn, G. Dengel, and K. Baggett

P1.93

Looking Ahead to GOES-R Space Weather Data Archive, Access, and User Services

Daniel C. Wilkinson, NOAA/NESDIS, Boulder, CO; and W. F. Denig

P1.94

Geostationary Operational Environmental Satellites (GOES) in support of NOAA's Climate Reference Network (CRN)

Debra Braun, NOAA/NESDIS/NCDC, Asheville, NC

Poster PDF (23.9 kB)

P1.95

Remapping GOES Imager Instrument Data for South American Operations, Implementing the XGOHI System

Shahram Tehranian, Nortel Government Solutions, Lanham, MD; and J. L. Carr, S. Yang, H. Madani, S. Vasanth, K. Mckenzie, T. J. Schmit, A. Swaroop, and R. DiRosario

Poster PDF (389.2 kB)

P1.96

GOES-10 @ 60 West � a Wisconsin perspective

Timothy J. Schmit, NOAA/NESDIS, Madison, WI; and J. Li, J. P. Nelson III, A. J. Schreiner, G. S. Wade, and Z. Li

http://cimss.ssec.wisc.edu/goes/rt/goes10.php

Poster PDF (266.5 kB)

P1.97

Deep convection defined by split window

Toshiro Inoue, The University of Tokyo, Kashiwa, Chiba, Japan

http://grns1.mri-jma.go.jp

P1.98

GOES-R 2008 User Conference Poster Abstract for the NOAA CLASS Project

Robert Rank, NOAA/NESDIS, Suitland, MD; and F. Vizbulis

Poster Session 1: Fifth GOES Users' Confererence Poster Session