IN51B:
Enabling Cloud Applications for Earth Science Data Posters


Submit an Abstract to this Session


Session ID#: 44367

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:  Michael M Little, NASA, Earth Science Technology Office, Greenbelt, MD, 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:

Development and Implementation of the NCEI Common Access Order Fulfillment and Data Service as part of the Mission Data Management System (354519)
Rich Baldwin1, Brian May2 and Andrew Buddenberg2, (1)NOAA Asheville, Asheville, NC, United States, (2)ERT, Asheville, NC, United States
On Demand Analytics Products from GOES 16/17: Rapid Visualization and Analysis (467571)
Amanda O'Connor and Weidong Jiang, Harris Geospatial Solutions, Broomfield, CO, United States
Design and Roadmap toward a NASA Earth Science Cloud (396483)
Tsengdar J Lee1, Daniel Duffy2, Kevin J Murphy1, Rahul Ramachandran3 and Ramakrishna R Nemani4, (1)NASA Headquarters, Washington, United States, (2)NASA Center for Climate Simulation, Greenbelt, United States, (3)NASA Marshall Space Flight Center, Huntsville, United States, (4)NASA Ames Research Center, Moffett Field, CA, United States
NEX-AI: Deployment of Machine Learning Pipelines using Google Cloud ML Engine and AWS SageMaker (411284)
Geri Elise Madanguit1,2, Sangram Ganguly3, Subodh Kalia2, Kate Duffy4, Edward Durham Collier5, Vesta Afzali Gorooh6, Gayaka Shreekant7, Thomas Vandal8, Shuang Li1, Andrew Michaelis1 and Ramakrishna R Nemani1, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)BAER Institute, Mountain View, CA, United States, (3)NASA Ames Research Center / BAERI, Moffet Field, CA, United States, (4)Zeus AI, Cambridge, United States, (5)Louisiana State University, Computer Science, Baton Rouge, LA, United States, (6)University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States, (7)BAER Institute, Mountainview, CA, United States, (8)Northeastern University, Boston, MA, United States
A Concept of Operations for Earth Science Data Archive and Distribution in the Cloud (370130)
John Firor Moses, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Katie Baynes, NASA Headquarters, Earth Science Data Systems, Washington, DC, United States and Jeanne Behnke, GSFC, Greenbelt, MD, United States
Scaling API-based Microservices in ASDC’s On-Premise Cloud Environment for Retrieval of Atmospheric Science Data (458526)
Makhan L Virdi, NASA Langley Research Center, Atmospheric Science Data Center, Hampton, VA, United States, Walter E Baskin, NASA ASDC (ADNET Systems Inc. Contractor), Hampton, United States and Jeff Walter, NASA LaRC, ASDC, Hampton, VA, United States
A Quantitative Framework to Inform Data System Architecture and Services On the Cloud Based on User Needs and Expected Demand (457218)
Catalina M Oaida Taglialatela, Raytheon, Jet Propulsion Laboratory/PODAAC, Pasadena, CA, United States, E. Natasha Stavros, Cooperative Institute for Research in Environmental Sciences, Boulder, United States and Jessica Hausman, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
The CLARREO Pathfinder Science Data System (452179)
Kristopher William Larsen, Laboratory for Atmospheric and Space Physics, Boulder, CO, United States, Greg Ucker, Laboratory for Atmospheric and Space Physics, Boulder, United States and Christopher K Pankratz, University of Colorado, Laboratory for Atmospheric and Space Physics, Boulder, United States
Scalable, cloud-based WRF simulations and analysis with community climate and reanalysis datasets (425329)
Luke Madaus, Jupiter, Earth and Ocean Systems, Boulder, CO, United States, Joshua Hacker, Jupiter, Boulder, CO, United States and John Exby, Jupiter, Boulder, United States
Cloud Implementation of Country Level Crop Classification Based on Time Series of Satellite Data (448928)
Leonid Shumilo1, Nataliia Kussul1,2, Mykola S. Lavreniuk1 and Andrii Shelestov1,3, (1)Space Research Institute NAS Ukraine and SSA Ukraine, Kyiv, Ukraine, (2)EOSDA, Kyiv, Ukraine, (3)National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine
IoT-Hub: A new cloud data-platform for monitoring and analyzing IoT (410148)
Rosa Filgueira, University of Edinburgh, School of Informatics, Edinburgh, EH9, United Kingdom, Rafael Ferreira da Silva, University of Southern California, Information Sciences Institute,, Los Angeles, CA, United States, Ewa Deelman, USC Information Sciences Inst., Marina Del Rey, CA, United States, Vyron Christodoulou, British Geological Survey, The Lyell Centre, Edinburgh, United Kingdom, Jakub Mojsiejuk, AGH University of Science and Technology, Faculty of Computer Science, Electronics and Telecommunications, Kraków, Poland and Amy Krause, University of Edinburgh, Edinburgh, United Kingdom
Running Large and Dynamic Climate Ensembles in the Cloud (405131)
Diego Antonio Perez Montes, University of Vigo, EPhysLab, Ourense, Spain, Juan A. Añel, Universidade de Vigo, EPhysLab, Ourense, Spain and Javier Rodeiro, University of Vigo, School of Computer Sciences, Ourense, Spain

See more of: Earth and Space Science Informatics