J8B Cloud Computing for Big Data in Atmosphere, Ocean, and Climate

Tuesday, 30 January 2024: 4:30 PM-6:00 PM
336 (The Baltimore Convention Center)
Hosts: (Joint between the 40th Conference on Environmental Information Processing Technologies; the 23rd Conference on Artificial Intelligence for Environmental Science; the 14th Symposium on Advances in Modeling and Analysis Using the Programming Languages of Open Science; and the 10th Symposium on High Performance Computing for Weather, Water, and Climate )
Cochairs:
Nazila Merati, NESDIS, NCEI, Boulder, CO and Tiffany C. Vance, NOAA, US IOOS Program, aaa, WA

Weather imposes constraints on human activity. As a consequence, most decision-makers/planners seek awareness to mitigate or eliminate weather impacts. As datasets become larger and larger, new and improved tools to work with Big Data are critical. This session welcomes contributions from research fields such as scientific visualization, information visualization or visual analytics that are applicable to large data sets from climatology, meteorology or related disciplines. Presentations on using cloud computing for analyzing satellite and model data for weather, ocean, or climate relevant applications will also be welcomed.

Papers:
4:30 PM
J8B.1
Arraylake: A Cloud-Native Data Lake Platform for Earth System Science
Ryan Abernathey, Earthmover PBC, New York, NY; and J. J. Hamman

4:45 PM
J8B.2
From Waterfall to Agile: Lessons Learned During the NOAA/NESDIS/OCS Journey to Expedite Transition to Ops in the Cloud
Kelly L. Neely, NESDIS, Silver Spring, MD; and M. Zweng, W. W. Wolf, P. Roy, K. Ali, and K. lassiter

5:00 PM
J8B.3
A Workflow for Serving Model Data in the Cloud to a Broader Community
Jonathan Joyce, RPS Group, South Kingstown, RI; and B. Adams, J. Doyle, K. Fillingham, M. Iannucci, A. Kerney, K. Knee, D. Moretti, J. Quintrell, D. Snowden, T. C. Vance, and M. Wengren

5:15 PM
J8B.4
Adapting to a Changing Environment: Automating the Transition to Operations for Scientific Applications
Yunhui Zhao, GAMA-1 Technologies, Greenbelt, MD; and W. W. Wolf, K. Pinkney, and P. Roy

J8B.5
Data Compression with Deep Neural Network and Principal Component Analysis Machine Learning

5:45 PM
J8B.6
Standardized Drought Indices on Drought.Gov, Produced with Climate Engine and Google Earth Engine, from Multiple Foundational Precipitation and Temperature Datasets
Steve Ansari, NOAA, Asheville, NC; and J. Huntington, M. Shaw, K. Satalino, J. Fain, B. Daudert, J. Hansen, C. Morton, T. Ott, and K. C. Hegewisch

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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