J4 High Performance Computing and Other Technologies Supporting Ecological and Ecosystems Forecasting

Monday, 13 January 2025: 4:30 PM-6:00 PM
La Nouvelle C (New Orleans Ernest N. Morial Convention Center)
Hosts: (Joint between the 11th Symposium on High Performance Computing for Weather, Water, and Climate; and the 13th Symposium on the Weather, Water, and Climate Enterprise )
Submitters:
Marc E. Cotnoir, Group NIRE, Lubbock, TX; Marie Claire Colton and Alek J. Krautmann, NOAA, NESDIS, Silver Spring, MD
Cochairs:
Marc E. Cotnoir, Group NIRE, Lubbock, TX and Alek J. Krautmann, NOAA, NESDIS, Silver Spring, MD

Recent extreme weather events have increased awareness of the impact of climate change on the earth’s ecosystems – and the resulting impacts on society as ecosystem services such as food, water, security, and shelter are under increasing stress. This session invites abstracts on developments in ecosystems modeling and ecological forecasting that are enabled or facilitated by high performance computing and other technologies that enable these applications to provide insight into changes in the natural environment and the impact of these changes on society. Abstracts are invited on topics such as infrastructure and computational support, development and use of digital twins, use of cloud computing resources in ecological forecasting and for ecosystem modeling, and software tools to facilitate development of these models, as well as other emerging tools and techniques.

Papers:
4:30 PM
J4.1
Community-Developed Cyberinfrastructure for Efficient Ecological Forecasting (Core Science Keynote)
Jacob A Zwart, USGS, Reston, VA; and C. Thompson, C. Brown, J. Burnett, R. Cardiero, M. Dietze, J. Kritzer, H. Moustahfid, J. Peters, C. Shanahan, and E. Silva

Handout (2.5 MB)

5:00 PM
J4.2
ECMWF Software & Services for Producing and Serving Peta-byte Earth System Data Sets – a Journey of Bytes from HPC to End-Users
Tiago Quintino, ECMWF, Reading, United kingdom; and S. Smart, J. N. Hawkes, I. Russell, and N. Wedi

5:15 PM
J4.3
Hybrid Numerical and AI/ML Models for Operational Hypoxia Forecasting on the Louisiana-Texas Shelf
Z. George Xue, Louisiana State University, Baton Rouge, LA; and Y. Ou

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- Indicates an Award Winner