IN24A:
Enabling Cloud Applications for Earth Science Data II

Submit an Abstract to this Session Please know the abstract submission deadline has passed. There are no exceptions to this deadline and no new abstracts can be submitted.
You can still search the program to see your colleague�s abstract submissions as well as the sessions submitted for the 2016 Fall Meeting. The final program will be released in early October.


Session ID#: 16810

Session Description:
The ongoing body of Earth observations and model outputs comprises highly diverse datasets that span orders of magnitude in files sizes as well as in spatial and temporal extent and resolution. Assembling and computing on multiple sources and types of these data is therefore difficult, yet is increasingly necessary for understanding and supporting decisions about changing environmental conditions. This session seeks papers on the technical challenges and applied use of Cloud computing for Earth science modeling, simulation, reprocessing, intercomparison, analysis, product generation, and decision support. Submissions are welcomed on topics such as efficiently transferring, synchronizing, and validating data in the Cloud; approaches for discovery, organization, integration, or semantic linking of datasets in the Cloud; management of Cloud instances; case studies demonstrating the benefit (or not) of Cloud computing; successful applications of Cloud computing to support decision-making; and other relevant subjects.
Primary Convener:  Jeff de La Beaujardière, NOAA National Environmental Satellite, Data, and Information Service, ACIO-S, Silver Spring, MD, United States; NOAA, Boulder, CO, United States
Conveners:  Emily Law, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Edward Joseph Kearns, First Street, New York, United States and Michael M Little, NASA Headquarters, Earth Science Technology Office, Washington, DC, United States
Chairs:  Jeff de La Beaujardière, NOAA National Environmental Satellite, Data, and Information Service, ACIO-S, Silver Spring, MD, United States; NOAA, Boulder, CO, United States and Michael M Little, NASA Headquarters, Earth Science Technology Office, Washington, DC, United States
OSPA Liaison:  Michael M Little, NASA Headquarters, Earth Science Technology Office, Washington, DC, United States

Abstracts Submitted to this Session:

Hook Hua, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Zac Flamig1, Maria Patterson1, Walt Wells2 and Robert Grossman1, (1)University of Chicago, Center for Data Intensive Science, Chicago, IL, United States, (2)Open Commons Consortium, Chicago, IL, United States
Mike Thomas Frame1, Tim Mancuso2, Viv Hutchison2, Lisa Zolly3, Ben Wheeler3, Shayne Urbanowski2, Ranjeet Devarakonda4 and Giri Prakash5, (1)USGS Headquarters, Reston, VA, United States, (2)USGS, Core Science Analytics, Synthesis & Libraries, Denver, CO, United States, (3)USGS Core Science Analytics, Synthesis, and Libraries, Denver, United States, (4)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (5)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States
Joshua Wellzie Young and Mohan K Ramamurthy, University Corporation for Atmospheric Research, Unidata, Boulder, CO, United States
Daniela Moody1, Steven Patrick Brumby2, Rick Chartrand3, Eduardo Franco3, Ryan Keisler3, Tim Kelton3, Caitlin Kontgis4, Mark Mathis4, David Raleigh3, Xander Rudelis3, Samuel Skillman3, Michael S Warren3 and Nathan Longbotham3, (1)Ursa Space Systems, Los Alamos, NM, United States, (2)World Resources Institute, Washington, DC, United States, (3)Descartes Labs, Inc., Los Alamos, NM, United States, (4)Impact Observatory, Washington, DC, United States
Daniel Pilone, Element 84, Inc., Alexandria, VA, United States
Nathan Potter, OPeNDAP, Inc., Butte, MT, United States and James H R Gallagher, OPeNDAP, Inc., Butte, United States
Chaowei Phil Yang, George Mason University Fairfax, Geography and Geoinformation Science, Fairfax, VA, United States