March 2026

Conference Paper

Enhancing Discoverability and Management of Atmospheric Data at Scale: Solutions from the ARM Data Center

By:
Shah, Chirag Hareshkumar ; Darnell, Wade J; Collier, Hannah R; Shanafield III, Harold A; Giansiracusa, Michael T; Prakash, Giri
Page Number:
783-792
Book Title:
2024 IEEE International Conference on Big Data (BigData)
Publication Date:
March 12, 2026
Publisher Location:
IEEE, New Jersey, United States of America
Conference Name:
2024 IEEE International Conference on Big Data (BigData)
Conference Location:
Washington, D.C., District of Columbia, United States of America
Conference Sponsor:
U.S. National Science Foundation, Virginia Tech, IEEE Dataport, Ankura, IEEE Computer Society
View DOI Listing:
https://doi.org/10.1109/BigData62323.2024.10825718

Abstract

The Atmospheric Radiation Measurement (ARM) is a multi-laboratory and multi-institutional U.S. Department of Energy (DOE) Office of Science National User Facility. The ARM Data Center (ADC), located at Oak Ridge National Laboratory, collects, archives, and shares vast atmospheric data crucial for climate research. The ADC manages over 7 PB of data from 460 instruments worldwide, processing it into more than 11,000 diverse data products using the Network Common Data Form (NetCDF) for machine-independent accessibility. The primary challenge addressed in this paper is the efficient management and distribution of vast and diverse datasets essential for the climate research community, enhancing accessibility through advanced tools like Data Discovery. The ADC has developed advanced infrastructure and software architecture to handle the continuous influx of heterogeneous data to enhance data discoverability, resulting in increased scientific collaboration. In 2023, users from over 34 countries downloaded and utilized ARM data, resulting in 1,455 publications. The ADC’s efforts have significantly improved the discoverability and usability of atmospheric data, fostering extensive scientific research and collaboration. This paper details the solutions implemented by the ADC team for efficient data discovery and distribution, and it demonstrates ARM’s capability of staging processed data for scientific analysis.