IN22A:
Enabling Cloud Applications for Earth Science Data III: Assessment and Architecture

Submit an Abstract to this Session



Session ID#: 33647

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 changing environmental conditions and supporting decisions.

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, Silver Spring, MD, United States
Conveners:  Emily Law, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Michael M Little, NASA Headquarters, Washington, DC, United States and Steve Aulenbach, USGS Core Science Analytics, Synthesis, and Libraries, Denver, CO, United States
Chairs:  Michael M Little, NASA Headquarters, Washington, DC, United States and Emily Law, Jet Propulsion Laboratory, Pasadena, CA, United States
OSPA Liaison:  Erin Robinson, Federation of Earth Science Information Partners, Boulder, CO, United States
Index Terms:

1908 Cyberinfrastructure [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]

Abstracts Submitted to this Session:

Working with Planetary-Scale Data in the Cloud (229936)
Joe Flasher, Amazon Web Services, Open Geospatial Data Lead, Washington, DC, United States
From Analysis to Impact: Challenges and Outcomes from Google's Cloud-based Platforms for Analyzing and Leveraging Petapixels of Geospatial Data (281135)
David Thau, Google, Mountain View, CA, United States and The Google Earth Engine Team
The Best of Both Worlds: Developing a Hybrid Data System for the ASF DAAC (293486)
Scott A Arko1, Brian Buechler2 and Victoria Goetcheus Wolf1, (1)Alaska Satellite Facility, Fairbanks, AK, United States, (2)University of Alaska Fairbanks, Fairbanks, AK, United States
A price and performance comparison of three different storage architectures for data in cloud-based systems (279536)
James H R Gallagher1, Aleksandar Jelenak2, Nathan Potter3, David W Fulker3 and Ted Habermann4, (1)OPeNDAP, Inc., Butte, United States, (2)The HDF Group, Inc., Champaign-Urbana, IL, United States, (3)OPeNDAP, Inc., Butte, MT, United States, (4)Metadata Game Changers, Boulder, United States
Evaluating Commercial and Private Cloud Services for Facility-Scale Geodetic Data Access, Analysis, and Services (280052)
Charles M Meertens, Frances M Boler, Douglas J Ertz, David Mencin, David Phillips and Scott Baker, UNAVCO, Inc., Boulder, CO, United States
USGEO DMWG Cloud Computing Recommendations (239644)
Jeff de La Beaujardière, NOAA National Environmental Satellite, Data, and Information Service, Silver Spring, MD, United States, Mark McInerney, Climate Model Data Service, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Mike Thomas Frame, USGS Headquarters, Reston, VA, United States, Claire Summers, IDA Science and Technology Policy Institute, Washington, DC, United States and US Group on Earth Observations (USGEO) Data Management WG

See more of: Earth and Space Science Informatics