IN019
Data and Information Services and Research for interdisciplinary Research and Applications in Earth Science
Session ID#: 250287
Session Description:
As technologies (such as cloud and AI/ML) evolve, integrating heterogeneous Earth science data in a user-friendly environment is essential for enabling interdisciplinary activities (e.g., wildfire management) and servicing a broader audience. For researchers and users of applications, accessing interdisciplinary datasets from multiple data repositories remains a challenge. This year is our 8th year organizing this popular session to keep us stay informed with the latest R&D by sharing our data, services, experiences, and research and at the same time, provide a forum for discussion and an opportunity for collaboration. This session seeks presentations to describe your Earth science data and information services and research for supporting interdisciplinary activities, including existing tools or data services, ongoing work/project/tool development, user needs, challenges and barriers (e.g., interoperability), lessons learned, experiences and suggestions with existing tools or services, and ideas/concepts for future data and information development and infrastructures.
Co-Sponsor(s):
Index Terms:
1916 Data and information discovery [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1938 Knowledge representation and knowledge bases [INFORMATICS]
1960 Portals and user interfaces [INFORMATICS]
Primary Convener: Vasco Manuel Mantas, University of Coimbra, Department of Earth Sciences, Coimbra, Portugal
Conveners: Zhong Liu, NASA GSFC GES DISC (CSISS, George Mason University), Greenbelt, United States, Karyn M. Tabor, Science Systems and Applications, Inc., Lanham, United States; NASA Goddard Space Flight Center (USAID, SSAI), Greenbelt, United States and Binita KC, NASA GES DISC, Greenbelt, United States
The Thematic Observation Search, Segmentation, Collation and Analysis (TOS2CA) System: Using Interdisciplinary Data and Visualization Tools to Define Physical Phenomena (1865460)
Brian Knosp1, Ziad S Haddad1, Ines Fenni1, Ryan Fuller1, Svetla M Hristova-Veleva1, Flynn Platt1, Federica Polverari1, Sai Prasanth2, Randy Sawaya3 and Quoc A Vu1, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Colorado State University, Fort Collins, United States, (3)Primer, San Francisco, United States
Developing Metrics for Earth Science to Action (1894540)
Zhong Liu, NASA GSFC GES DISC (CSISS, George Mason University), Greenbelt, United States, Chung-Lin Shie, University of Maryland, Baltimore County (ret.), Baltimore, United States and Mahabal Hegde, NASA GES DISC, Greenbelt, United States
Implementing Scalable Cloud Computing and Data Analytics and Cloud Native Analysis-Ready-Cloud-Optimized (ARCO) Data (Invited) (1895210)
Sudhir R Shrestha, NOAA College Park, College Park, United States, Changyong Cao, NOAA College Park, College Park, MD, United States, Ivan Andras Csiszar, NOAA/NESDIS, College Park, United States and Paul M DiGiacomo, NOAA, NESDIS, College Park, MD, United States
Discovering the Trend and Patterns of Wildland Fires in USA and the Role of Climate Change (1931148)
Tianle Chen, George Mason University, Environment Science and Technology Center (ESTC), Department of Geography and Geoinformation Science, Fairfax, United States; Great Neck South High School, Great Neck, United States, Xianjun Hao, George Mason University Fairfax, Fairfax, United States and John J Qu, George Mason University, Environment Science and Technology Center (ESTC) / Department of Geography and Geoinformation Science (GGS), Fairfax, United States
Importance of Suborbital Metadata Standardization for Search, Discovery, and Reuse (1946838)
Stephanie Mullins Wingo, University of Alabama in Huntsville, Huntsville, AL, United States, Douglas J Newman, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Shannon R Leslie, NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC), Boulder, CO, United States, Michele Thornton, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, Sara H Lubkin, NASA Goddard Space Flight Center, Earth Science Data Information System, Greenbelt, MD, United States, Ryan Abbott, Element 84, Inc., Alexandria, VA, United States, Katherine Saad, Agile Decision Sciences, Huntsville, United States, Tyler Stevens, NASA, Perry Hall, United States, Aaron S Kaulfus, NASA Marshall Space Flight Center, Huntsville, United States and Manil Maskey, NASA, Huntsville, United States
Integrating Disparate Data and Models to Project the Extent of Seasonal Flooding in South Sudan (1963776)
James P Verdin, University of Maryland College Park, College Park, MD, United States, Kimberly Slinski, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, Md Shahriar Pervez, ASRC Federal Data Solutions, Contractor to USGS EROS, Beltsville, United States, Laura Harrison, University of California Santa Barbara, Climate Hazards Center, Geography Department, Santa Barbara, CA, United States, Amy McNally, NASA Goddard Space Flight Center, Greenbelt, United States, Michael E Budde, Earth Resources Observation Systems Sioux Falls, Sioux Falls, United States, Chris Shitote, FEWS NET, Nairobi, Kenya, Andrew Hoell, NOAA Physical Sciences Laboratory, Boulder, United States and Karyn M. Tabor, US Agency for International Development, Falls Church, United States
Accelerating Science using Virtualized Data (1986053)
Edward M Armstrong1, Dean Henze2, Ian G Fenty3, Mike Gangl3, Celia Ou2 and dean hens, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, United States
Enabling Open Science Across Multiple Levels of Processing and Scales over Heterogeneous Earth and Environmental Science Repositories: a Case Study from AuScope (1991125)
Rebecca Farrington1, Lesley A Wyborn2, Alex Hunt3, Jens F Klump4, Anusuriya Devaraju5, Vincent Fazio6, Andrew Robinson7, Jo Croucher2, Hannes Hollmann2, Yiling Liu2, Bryant Ware8, Angus Nixon9, Sara Polanco10 and Tim Rawling1, (1)AuScope Ltd, Melbourne, VIC, Australia, (2)Australian National University, Canberra, ACT, Australia, (3)CSIRO Earth Science and Resource Engineering Perth, Perth, Australia, (4)CSIRO Earth Science Resource Engineering, Perth, Australia, (5)CSIRO, Mineral Resources, Perth, Australia, (6)CSIRO, Mineral Resources, Clayton, Australia, (7)Australian National University National Computational Infrastructure, Canberra, Australia, (8)Curtin University, John de Laeter Centre, Perth, WA, Australia, (9)University of Adelaide, Department of Earth Science, School of Physical Sciences, Adelaide, SA, Australia, (10)University of Newcastle, Callaghan, Australia
Using Post Processing Job Metadata to Optimize HPC Node Configuration at NOAA’s GFDL (1995225)
Avery Kiihne1,2, Ian Laflotte1,2, Chris Blanton1, Baudilio Tejerina1,2 and Rusty Benson3, (1)Geophysical Fluid Dynamics Laboratory, Princeton, United States, (2)Science Applications International Corporation, Princeton, United States, (3)Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
