IN32A:
Near Real Time Data for Earth Science and Space Weather Applications II


Session ID#: 10507

Session Description:
Near real time data from satellite, airborne, and surface sensors are transforming existing end-user applications and spawning new ones. These applications demonstrate the utility of timely data in diverse Earth and space science disciplines including weather prediction, natural hazards, invasive species, agriculture, homeland security, oceanic and space weather applications. In addition to traditional computer analyses, the use of apps for smartphones and tablet computers presents an opportunity to improve and expand the timely usage of data products and services. This session seeks contributions that demonstrate the benefit of near real time scientific or social media data and identify gaps in current capabilities.
Primary Convener:  Michael H Goodman, NASA Marshall Space Flight Center, Code ST10, Huntsville, AL, United States
Conveners:  Gerald W Bawden1, Kevin J Murphy2 and James F Spann2, (1)NASA Headquarters, Washington, DC, United States(2)NASA Headquarters, Washington, United States
Chairs:  Michael H Goodman, NASA Marshall Space Flight Center, Code ST10, Huntsville, AL, United States and Kevin J Murphy, NASA Headquarters, Washington, United States
OSPA Liaison:  Michael H Goodman, NASA Marshall Space Flight Center, Code ST10, Huntsville, AL, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • NH - Natural Hazards
  • OS - Ocean Sciences
  • SH - SPA-Solar and Heliospheric Physics
Index Terms:

3360 Remote sensing [ATMOSPHERIC PROCESSES]
4262 Ocean observing systems [OCEANOGRAPHY: GENERAL]
4337 Remote sensing and disasters [NATURAL HAZARDS]
7924 Forecasting [SPACE WEATHER]

Abstracts Submitted to this Session:

Mobile Devices and GPU Parallelism in Ionospheric Data Processing (63854)
David Mascharka and Victor Pankratius, MIT Haystack Observatory, Westford, MA, United States
Near Real Time Vertical Profiles of Clouds and Aerosols from the Cloud-Aerosol Transport System (CATS) on the International Space Station (69626)
John E Yorks, Mesoscale Atmospheric Processes Laboratory, NASA/GSFC, Greenbelt, MD, United States, Matthew J McGill, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Edward P Nowottnick, NASA Goddard Space Flight Center, Greenbelt, United States
UNIDATA LDM-7: A HYBRID MULTICAST/UNICAST SYSTEM FOR HIGHLY EFFICIENT AND RELIABLE REAL-TIME DATA DISTRIBUTION (70515)
Steven R Emmerson1, Malathi Veeraraghavan2, Shawn Chen3 and Xiang Ji3, (1)University Corporation for Atmospheric Research, Boulder, CO, United States, (2)University of Virginia Main Campus, Charles L. Brown Department of Electrical & Computer Engineering, Charlottesville, VA, United States, (3)University of Virginia Main Campus, Computer Engineering, School of Engineering & Applied Sciences, Charlottesville, VA, United States
Applications of Earth Remote Sensing for Identifying Tornado and Severe Weather Damage (70694)
Jason Eric Burks1, Andrew Molthan2, Lori A. Schultz3, Kevin McGrath4, Jordan R Bell5, Tony Cole3 and Kelsey Angle6, (1)NASA Marshall Space Flight Center, Huntsville, AL, United States, (2)NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, United States, (3)University of Alabama in Huntsville, Huntsville, AL, United States, (4)Jacobs, Inc. / NASA Marshall Space Flight Center, Huntsville, AL, United States, (5)NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, AL, United States, (6)National Weather Service - Des Moines, IA, Des Moines, IA, United States
Can Real-Time Data Also Be Climate Quality? (75987)
Marty Brewer and Frank J Wentz, Remote Sensing Systems, Santa Rosa, CA, United States
Remotely Operated Vehicles (ROVs) Provide a “Big Data Progression” (79463)
Daniel Oostra1, Sukhveer Singh Sanghera1, Daniel C Mangosing Jr1, Preston M Lewis Jr1 and Lin H Chambers2, (1)NASA Langley Research Center, Hampton, VA, United States, (2)NASA Headquarters, Washington, DC, United States
Satellite-based Hyperspectral Sounder Retrievals in Real-time Weather Applications (81239)
Elisabeth Weisz, Cooperative Institute for Meteorological Satellite Studies/University of Wisconsin-Madison, Madison, WI, United States, Nadia Smith, University of Wisconsin Madison, Space Science and Engineering Center, Madison, WI, United States and William Kolby Smith, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States
Impact of Scatterometer Ocean Wind Vector Data on NOAA Operations (85174)
Zorana Jelenak, NOAA College Park, College Park, MD, United States, Paul Chang, NOAA/NESDIS/STAR, College Park, United States, Michael J Brennan, NOAA/NWS/NCEP/National Hurricane Center, Miami, FL, United States and Joseph M Sienkiewicz, NOAA/National Weather Service, Camp Springs, MD, United States

See more of: Earth and Space Science Informatics