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Web-based Visualization and Analytics of Petascale Data: Equity as a Tide that Lifts All BoatsScientists generate petabytes of data daily to help uncover environmental trends or behaviors that are hard to predict. For example, understanding climate simulations based on the long-term average of temperature, precipitation, and other environmental variables is essential to predicting and establishing root causes of future undesirable scenarios and assessing possible mitigation strategies. While supercomputer centers provide a powerful infrastructure for generating petabytes of simulation output, accessing and analyzing these datasets interactively remains challenging on multiple fronts. This paper presents an approach to managing, visualizing, and analyzing petabytes of data within a browser on equipment ranging from the top NASA supercomputer to commodity hardware like a laptop. Our novel data fabric abstraction layer allows user-friendly querying of scientific information while hid-ing the complexities of dealing with file systems or cloud services.We also optimize network utilization while streaming from petas-cale repositories through state-of-the-art progressive compression algorithms. Based on this abstraction, we provide customizable dashboards that can be accessed from any device with any inter-net connection, enabling interactive visual analysis of vast amounts of data to a wide range of users - from top scientists with access to leadership-class computing environments to undergraduate students of disadvantaged backgrounds from minority-serving institutions. We focus on NASA’s use of petascale climate datasets as an example of particular societal impact and, therefore, a case where achieving equity in science participation is critical. We validate our approach by improving the ability of climate scientists to visually explore their data via two fully interactive dashboards. We further validate our approach by deploying the dashboards and simplified training materials in the classroom at a minority-serving institution.These dashboards, released in simplified form to the general public, contribute significantly to a broader push to democratize the access and use of climate data.
Document ID
20240010702
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Aashish Panta
(University of Utah Salt Lake City, Utah, United States)
Xuan Huang
(University of Utah Salt Lake City, Utah, United States)
Nina McCurdy
(Ames Research Center Mountain View, United States)
David Ellsworth
(InuTeq, LLC Beltsville, MD, United States)
Amy A Gooch
(ViSOAR LLC)
Giorgio Scorzelli
(University of Utah Salt Lake City, Utah, United States)
Hector Torres
(Jet Propulsion Laboratory La Cañada Flintridge, United States)
Patrice Klein
(California Institute of Technology Pasadena, United States)
Gustavo A Ovando-Montejo
(Utah State University Logan, United States)
Valerio Pascucci
(University of Utah Salt Lake City, Utah, United States)
Date Acquired
August 16, 2024
Subject Category
Meteorology and Climatology
Computer Programming and Software
Meeting Information
Meeting: 14th IEEE Symposium on Large Data Analysis and Visualization
Location: St. Pete Beach, FL
Country: US
Start Date: October 13, 2024
End Date: October 18, 2024
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
WBS: 106148.03.01.11
OTHER: 80NSSC23M0013
CONTRACT_GRANT: 1685389 DOE SBIR Phase II #DE-SC0017152
OTHER: 213881
OTHER: 2127548
OTHER: 2330582
OTHER: DE-FE0031880
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Peer Committee
Keywords
Data visualization
Petascale analytics
Data accessibility
Equity in science
Cloud computing
Petabytes
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