IN42A:
Near-Real-Time Data for Earth Science and Space Weather Applications II

Session ID#: 2155

Thursday, 18 December 2014: 10:20 AM-12:20 PM
2020 (Moscone West)
Chair:  Gerald W Bawden, US Geological Survey, Sacramento, United States
Primary Convener:  Michael H Goodman, NASA Marshall Space Flight Center, Code ST10, Huntsville, AL, United States
Co-conveners:  Gerald W Bawden, US Geological Survey, Sacramento, United States and Kevin J Murphy, NASA Headquarters, Washington, United States
OSPA Liaison:  Kevin J Murphy, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • G - Geodesy
  • NH - Natural Hazards
  • OS - Ocean Sciences
Virtual Option?: No

Abstracts Submitted to this Session:

Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS) (20322)
Michael D Daniels, National Center for Atmospheric Research, Earth Observing Laboratory, Boulder, CO, United States, Sara J Graves, University of Alabama in Huntsville, Huntsville, United States, Frank Vernon, University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States, Branko Kerkez, University of Michigan, Civil and Environmental Engineering, Ann Arbor, MI, United States, V. Chandrasekar, Colorado State University, Department of Electrical and Computer Engineering, Fort Collins, United States, Ken Keiser, University of Alabama in Huntsville, Huntsville, AL, United States and Charlie Martin, National Center for Atmospheric Research, Boulder, CO, United States
Near Real Time Integration of Satellite and Radar Data for Probabilistic Nearcasting of Severe Weather (30075)
Michael J Pavolonis1, John Cintineo2, Justin Sieglaff2 and Daniel Lindsey3, (1)NOAA Madison, NESDIS/STAR, Madison, WI, United States, (2)University of Wisconsin Madison, Cooperative Institute for Meteorological Satellite Studies, Madison, WI, United States, (3)NOAA Fort Collins, NESDIS/STAR, Fort Collins, CO, United States
Near-Real Time Satellite-Retrieved Cloud and Surface Properties for Weather and Aviation Safety Applications (16537)
Patrick Minnis1, William L Smith Jr2, Kristopher M Bedka3, Louis Nguyen4, Rabindra Palikonda5, Gang Hong6, Qing Trepte7, Thad Chee8, Mr. Benjamin R Scarino9, Douglas Spangenberg5, Sunny Sun-Mack7, Cecilia Fleeger10, J Kirk Ayers11, Fu-Lung Chang12 and Patrick W Heck13, (1)SSAI/Larc, Hampton, VA, United States, (2)NASA Langley Research Ctr, Hampton, United States, (3)NASA Langley Research Center, Climate Science Branch, Hampton, VA, United States, (4)NASA Langley Research Center, Climate Science Branch, Hampton, United States, (5)Science Systems and Applications, Inc. Hampton, Hampton, VA, United States, (6)Science Systems and Applications, Inc., Hampton, VA, United States, (7)Science Systems and Applications, Inc., Hampton, United States, (8)ADNET Systems Inc., NASA Langley Research Center, Hampton, VA, United States, (9)Science Systems and Applications, Inc., Lanham, United States, (10)Science Systems & Applications, Inc., Hampton, United States, (11)SSAI, Hampton, VA, United States, (12)NASA Langley Research Center, Hampton, VA, United States, (13)Cooperative Institute for Meteorological Satellite Studies, Madison, WI, United States
The Morphological Composite Product of Cloud Properties for Alaska (29868)
Anthony J Wimmers, University of Wisconsin Madison, Madison, WI, United States and Andrew K Heidinger, NOAA/NESDIS, Madison, WI, United States
GOES-R Rapid Refresh Imagery Advancements for the Earth and Space Weather Enterprise (7671)
Steven J Goodman, NOAA NESDIS, GOES-R Program Office, Greenbelt, MD, United States, Timothy J. Schmit, NESDIS STAR, ASPB, Madison, WI, United States, Daniel Lindsey, NOAA/NESDIS/GOES-R, Fort Collins, CO, United States, William F Denig, National Geophysical Data Center, Boulder, CO, United States and GOES-R Science and Algorithm Team
Near Real Time Data for Operational Space Weather Forecasting (Invited) (5985)
Thomas E Berger, NOAA Boulder, Space Weather Prediction Center, Boulder, CO, United States and NOAA Space Weather Prediction Center
Using Citizen Science and Crowdsourcing via Aurorasaurus as a Near Real Time Data Source for Space Weather Applications (28083)
Elizabeth MacDonald1, Matt Heavner2, Michelle Hall3, Andrea Tapia4, Nicholas Lalone4, Jessica Clayon3 and Nathan Case2, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)New Mexico Consortium, Los Alamos, NM, United States, (3)Science Education Solutions, Los Alamos, NM, United States, (4)Pennsylvania State University Main Campus, University Park, PA, United States
Development and transition of The Radiation, Interplanetary Shocks, and Coronal Sources (RISCS) Toolset (19113)
James F Spann, NOAA National Environmental Satellite, Data, and Information Service, Space Weather Observations Office, Lanham, United States and Gary Paul Zank, University of Alabama in Huntsville, Huntsville, AL, United States