IN54A:
Enabling Cloud Applications for Earth Science Data I


Submit an Abstract to this Session


Session ID#: 60541

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, Silver Spring, MD, United States
Conveners:  Kenneth S Casey, NOAA National Centers for Environmental Information, Silver Spring, MD, United States and Michael M Little, NASA, Earth Science Technology Office, Greenbelt, MD, United States
Primary Liaison:  Jeff de La Beaujardière, National Center for Atmospheric Research, Boulder, CO, United States
Chairs:  Jeff de La Beaujardière, National Center for Atmospheric Research, Boulder, CO, United States and Kenneth S Casey, NOAA National Centers for Environmental Information, Silver Spring, MD, United States
OSPA Liaison:  Jeff de La Beaujardière, National Center for Atmospheric Research, Boulder, CO, United States
Index Terms:

1908 Cyberinfrastructure [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1932 High-performance computing [INFORMATICS]
1976 Software tools and services [INFORMATICS]

Abstracts Submitted to this Session:

Cloud Computing Architecture and Migration for NOAA Satellite and Information Service (452715)
Karen M St. Germain, NASA Headquarters, Earth Science Division, Washington, DC, United States
The NASA Harmonized Landsat/Sentinel-2 (HLS) Dataset: A Case Study of Cloud-based Earth Observation Processing (Invited) (414833)
Jeffrey G Masek, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Junchang Ju, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States
Lessons Learned from Getting Ready For NISAR: Large-Scale Science Data Systems with Machine Learning and Disasters Response from the Cloud (469265)
Hook Hua1, Gerald Manipon1, Justin P Linick2, Namrata Malarout1, Mohammed Karim3, Lan B Dang1, Susan E Owen4, Sang-Ho Yun5, Piyush S Agram2, David P Bekaert1, Gian Franco Sacco2, Brian Bue1 and Adanced Rapid Imaging and Analysis (ARIA) Team, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)Jet Propulsion Laboratory, Pasadena, CA, United States, (5)Jet Propulsion Laboratory, Pasadena, United States
Challenges Deploying Legacy Software in the Cloud (455472)
Sara J Graves1, Will Ellett2, Helen Conover3, Abdelhak Marouane2, Ajinkya Kulkarni2 and Shannon Flynn2, (1)University of Alabama in Huntsville, Huntsville, United States, (2)University of Alabama in Huntsville, Huntsville, AL, United States, (3)Univ of Alabama Huntsville, Huntsville, AL, United States
Pangeo: Community tools for analysis of Earth Science Data in the Cloud (368532)
Anthony A Arendt1, Joseph Hamman2, Matthew Rocklin3, Amanda Tan4, Dennis Robert Fatland5, Jonah Joughin6, Ethan D Gutmann7, Landung Setiawan1 and Scott T Henderson8, (1)University of Washington, eScience Institute, Seattle, United States, (2)CarbonPlan, Seattle, United States, (3)Anaconda, Inc., Austin, TX, United States, (4)University of Washington, Seattle, WA, United States, (5)Unversity of Washington, Seattle, WA, United States, (6)Applied Physics Laboratory University of Washington, Seattle, United States, (7)NSF National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States, (8)University of Washington Seattle Campus, Earth and Space Sciences, Seattle, United States
Ocean Modeling Simulation, Analysis and Visualization in the Cloud (436253)
Richard P Signell, USGS Coastal and Marine Science Center Woods Hole, Woods Hole, MA, United States
Accessing data stored in Amazon S3 via the Hyrax OPeNDAP server (411452)
James H R Gallagher1, Nathan Potter2 and David W Fulker2, (1)OPeNDAP, Inc., Butte, United States, (2)OPeNDAP, Inc., Butte, MT, United States
Investigating the Effectiveness of Cloud Services for Geodetic and Seismic Data Management (382289)
Charles M Meertens1, Chad Trabant2, David Phillips1, Tim Ahern3, David Mencin4, Mike Stults2, Douglas J Ertz1 and Scott Baker1, (1)UNAVCO, Inc., Boulder, CO, United States, (2)IRIS Data Management Center, Seattle, WA, United States, (3)IRIS, Seattle, WA, United States, (4)EarthScope Consortium, Data Services, Remote, United States

See more of: Earth and Space Science Informatics