TY - GEN
T1 - The Research Repository for Data and Diagnostics (R2D2)
T2 - 24th International Conference on Computational Science, ICCS 2024
AU - Lingerfelt, Eric
AU - Hamzey, Tariq J.
AU - Abdi-Oskouei, Maryam
AU - Barré, Jérôme
AU - Diniz, Fábio
AU - Gas, Clémentine
AU - Griffin, Ashley
AU - Heinzeller, Dominikus
AU - Herbener, Stephen
AU - Parker, Evan
AU - Ruston, Benjamin
AU - Sampson, Christian
AU - Sluka, Travis
AU - Smith, Kristin
AU - Trémolet, Yannick
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - The Joint Center for Satellite Data Assimilation (JCSDA) is a multi-agency research center established to improve the quantitative use of satellite data in atmosphere, ocean, climate and environmental analysis and prediction systems. At the JCSDA, scientists and software engineers within the Joint Effort for Data Assimilation Integration (JEDI) are developing a unified data assimilation framework for research and operational use. To harness the full potential of ever-increasing volumes of data from new and evolving Earth observation systems, a new online database software system has been developed and deployed by the JCSDA. As a core component of JEDI, the Research Repository for Data and Diagnostics (R2D2) performs data registration, management, and configuration services for data assimilation computational workflows. We present an overview of R2D2’s distributed system of data stores, SQL data model, intuitive python API, and user support efforts. In addition, we will detail R2D2’s utilization by environmental prediction applications developed by the JCSDA and its partners.
AB - The Joint Center for Satellite Data Assimilation (JCSDA) is a multi-agency research center established to improve the quantitative use of satellite data in atmosphere, ocean, climate and environmental analysis and prediction systems. At the JCSDA, scientists and software engineers within the Joint Effort for Data Assimilation Integration (JEDI) are developing a unified data assimilation framework for research and operational use. To harness the full potential of ever-increasing volumes of data from new and evolving Earth observation systems, a new online database software system has been developed and deployed by the JCSDA. As a core component of JEDI, the Research Repository for Data and Diagnostics (R2D2) performs data registration, management, and configuration services for data assimilation computational workflows. We present an overview of R2D2’s distributed system of data stores, SQL data model, intuitive python API, and user support efforts. In addition, we will detail R2D2’s utilization by environmental prediction applications developed by the JCSDA and its partners.
KW - data store
KW - earth observations
KW - earth system data assimilation
KW - fair principles
KW - high performance computing
KW - interface for observation data access
KW - ioda
KW - jedi
KW - joint effort for data assimilation integration
KW - r2d2
KW - research repository for data and diagnostics
KW - saas
KW - skylab
KW - sql data model
UR - https://www.scopus.com/pages/publications/85199661604
U2 - 10.1007/978-3-031-63759-9_34
DO - 10.1007/978-3-031-63759-9_34
M3 - Conference contribution
AN - SCOPUS:85199661604
SN - 9783031637582
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 303
EP - 310
BT - Computational Science – ICCS 2024 - 24th International Conference, 2024, Proceedings
A2 - Franco, Leonardo
A2 - de Mulatier, Clélia
A2 - Paszynski, Maciej
A2 - Krzhizhanovskaya, Valeria V.
A2 - Dongarra, Jack J.
A2 - Sloot, Peter M. A.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 2 July 2024 through 4 July 2024
ER -