IN022
Digital Transformation of Earth Science Cloud: providing users with easy access to large data collections with scalable computing
Session ID#: 78621
Session Description:
The pace of Earth science model and observation data creation at US agencies and other countries continues to increase at an astounding rate driven by increased computer capability coupled with advanced sensors. At the same time, computational and information technology concepts have evolved to create virtualization technologies and turned cloud computing from a buzzword into an emerging trend. Increasingly, scientists are performing analyses, sharing data and collaborating on research papers in the cloud. In this new paradigm, scientists must rethink how they will leverage this new environment to analyze their model and observational data in the future when our “workstations” are in the cloud. This session invites contributions to the themes:
Innovative methods of data analysis for Earth System data utilizing cloud technologies
Data movements between cloud environments
Server-side analytics
Value added distributed data access and visualization methods
Creative methods of model and observational data intercomparison in the cloud
Index Terms:
1626 Global climate models [GLOBAL CHANGE]
1627 Coupled models of the climate system [GLOBAL CHANGE]
1920 Emerging informatics technologies [INFORMATICS]
1994 Visualization and portrayal [INFORMATICS]
Primary Convener: Gerald L Potter, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Conveners: Tsengdar J Lee1, Thomas Patrick Maxwell2 and Mark Carroll2, (1)NASA, Burke, VA, United States(2)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Primary Liaison: Tsengdar J Lee, NASA, Burke, VA, United States
NCAR CESM Large Ensemble Numerical Simulation Data on AWS (Invited) (490863)
Jeff de la Beaujardiere1, Anderson Banihirwe2, Chi Fan G Shih2, Kevin Paul1, Joseph Hamman3 and NCAR Science at Scale Team, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Boulder, United States, (3)University of Washington, Seattle, WA, United States
The Big Climate Data Pipeline (BCDP): A tool to facilitate server-side processing of NASA-NEX data on Amazon Cloud (504629)
Huikyo Lee, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, Alex Goodman, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Krzysztof Gorski, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Moving toward a cloud native High-Performance Computing environment for Earth Science (Invited) (517789)
Daniel Duffy, NASA Center for Climate Simulation, Greenbelt, MD, United States, Mark Carroll, NASA Goddard Space Flight Center, Greenbelt, MD, United States, John L Schnase, NASA Goddard Space Flight Cent, Greenbelt, MD, United States, Laura Carriere, NCCS, NASA Goddard, Greenbelt, MD, United States, Tsengdar J Lee, NASA, Burke, VA, United States, William Putman, NASA/GSFC, Greenbelt, MD, United States, Reid Ormseth, NASA Center for Climate Simulation, NASA Goddard Space Flight Center, Greenbelt, United States and Michael M Little, NASA, Earth Science Technology Office, Greenbelt, MD, United States
Web-based and Cloud-based RTC and InSAR Time Series Stacking of Sentinel-1 Synthetic Aperture Radar Imagery with the Hybrid Pluggable Processing Pipeline (HyP3) (560656)
Kirk Hogenson, Alaska Satellite Facility, Fairbanks, AK, United States, Thomas Andrew Logan, University of Alaska Fairbanks, Fairbanks, AK, United States and Rowan Biessel, Alaska Satellite Facility, Fairbanks, United States
Going Cloud Native at the NASA Center for Climate Simulation (NCCS) (562699)
Laura Carriere1, Reid Ormseth2, Jonathan B Mills3, Robert Budden3, Bennett Samowich3, Ellen M Salmon4, Nicko D Acks3, Scott Sinno5, Kerman Bime3 and Daniel Duffy5, (1)NCCS, NASA Goddard, Greenbelt, MD, United States, (2)NASA Center for Climate Simulation, NASA Goddard Space Flight Center, Greenbelt, United States, (3)NASA Goddard Space Flight Center, NASA Center for Climate Simulation, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States, (5)NASA Center for Climate Simulation, Greenbelt, MD, United States
Dynamic Display of Earth Science Data: A Cloud Based Visualization Framework using Geostationary Satellite Imagery and Cloud Products (583123)
Thad Chee1, Louis Nguyen2, William L Smith Jr3, Douglas Spangenberg1 and Rabindra Palikonda1, (1)Science Systems and Applications, Inc. Hampton, Hampton, VA, United States, (2)NASA Langley Research Center, Climate Science Branch, Hampton, VA, United States, (3)NASA Langley Research Ctr, Hampton, VA, United States
Decision-making using collaborative real-time mapping of satellite and sensor data in the cloud (593559)
Burke Greer, Geosite Inc., Lead GIS Scientist, Palo Alto, CA, United States and Rachel Olney, Geosite Inc., CEO/Founder, Palo Alto, CA, United States
The Road Towards Scalable Cloud-Based Data Access, Usability and Interoperability - a DAAC’s tale (594405)
Catalina M Oaida1,2, Mike Gangl3, Jessica Hausman4, Michelle M Gierach5 and Suresh Vannan5, (1)NASA Jet Propulsion Laboratory, PO.DAAC, Pasadena, CA, United States, (2)Raytheon Pasadena, Pasadena, CA, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, United States, (4)Jet Propulsion Laboratory, PO.DAAC, Pasadena, CA, United States, (5)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Visualizing NASA Earth Science Imagery at Scale Using Recent Cloud Technologies (599093)
Joe T Roberts1, Matthew F Cechini2, Mike McGann2, Zachary Rice3, Joshua Rodriguez1, Jacob Austin4, Ryan A Boller5 and Katie Baynes5, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Science Systems and Applications, Inc., Lanham, MD, United States, (3)ASRC Federal Holding Company, Beltsville, MD, United States, (4)Columbia University of New York, Computer Science, New York, NY, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Near Real-Time Cloud Retrievals Processed on the Amazon Cloud Using Public GOES Data on AWS Open Data Repository (599376)
Louis Nguyen1, Thad Chee2, Andrei Vakhnin3, William L Smith Jr4, Rabindra Palikonda5 and Douglas Spangenberg5, (1)NASA Langley Research Center, Climate Science Branch, Hampton, VA, United States, (2)Science Systems & Applications, Inc., Hampton, VA, United States, (3)NASA Langley Research Center, Hampton, VA, United States, (4)NASA Langley Research Ctr, Hampton, VA, United States, (5)Science Systems and Applications, Inc. Hampton, Hampton, VA, United States
PARGEO: Cloud-Ready Pervasively Parallel Analytics and Climate Science (608848)
Brian D Wilson1, Joseph Charles Jacob1, Lini Mestar2 and Huikyo Lee3, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, OCIO, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, Caltech, Altadena, CA, United States
Video Map - generating and visualizing video map tiles from EO data (617191)
Gennadii Donchyts1, Fedor Baart1, Giorgos Dimopoulos2, Peter van Oosterom2, Christine Rogers1, Cindy van de Vries1 and Martijn Meijers2, (1)Deltares, Delft, Netherlands, (2)Delft University of Technology, Delft, Netherlands
App Store at OpenNEX: A Gateway to Help Find Apps Over Big Data on the Cloud (632309)
Jia Zhang, Carnegie Mellon University Silicon Valley, Moffett Field, CA, United States, Ramakrishna R Nemani, NASA Ames Research Center, Moffett Field, CA, United States, Seungwon Lee, Jet Propulsion Laboratory, Burbank, CA, United States, Benyang Tang, Jet Propulsion Laboratory, Pasadena, CA, United States and Tsengdar J Lee, NASA, Burke, VA, United States
