S4: An O2R/R2O Infrastructure for Optimizing Satellite Data Utilization in NOAA Numerical Modeling Systems: A Step Toward Bridging the Gap between Research and Operations Article Swipe
Sid‐Ahmed Boukabara
,
Tong Zhu
,
Hendrik L. Tolman
,
Steve Lord
,
Steven J. Goodman
,
Robert Atlas
,
Mitch Goldberg
,
Thomas Auligné
,
R. B. Pierce
,
Lídia Cucurull
,
Milija Županski
,
Man Zhang
,
Isaac Moradi
,
Jason A. Otkin
,
David Santek
,
Brett T. Hoover
,
Zhaoxia Pu
,
Xiwu Zhan
,
Christopher Hain
,
Eugenia Kalnay
,
Daisuke Hotta
,
Scott Nolin
,
E. J. Bayler
,
Avichal Mehra
,
Sean Casey
,
Daniel T. Lindsey
,
Louie Grasso
,
V. Krishna Kumar
,
Alfred M. Powell
,
Jianjun Xu
,
Thomas J. Greenwald
,
Joe Zajic
,
Jun Li
,
Jinliong Li
,
Bin Li
,
Jicheng Liu
,
Li Fang
,
Pei Wang
,
Tse‐Chun Chen
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1175/bams-d-14-00188.1
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1175/bams-d-14-00188.1
In 2011, the National Oceanic and Atmospheric Administration (NOAA) began a cooperative initiative with the academic community to help address a vexing issue that has long been known as a disconnection between the operational and research realms for weather forecasting and data assimilation. The issue is the gap, more exotically referred to as the “valley of death,” between efforts within the broader research community and NOAA’s activities, which are heavily driven by operational constraints. With the stated goals of leveraging research community efforts to benefit NOAA’s mission and offering a path to operations for the latest research activities that support the NOAA mission, satellite data assimilation in particular, this initiative aims to enhance the linkage between NOAA’s operational systems and the research efforts. A critical component is the establishment of an efficient operations-to-research (O2R) environment on the Supercomputer for Satellite Simulations and Data Assimilation Studies (S4). This O2R environment is critical for successful research-to-operations (R2O) transitions because it allows rigorous tracking, implementation, and merging of any changes necessary (to operational software codes, scripts, libraries, etc.) to achieve the scientific enhancement. So far, the S4 O2R environment, with close to 4,700 computing cores (60 TFLOPs) and 1,700-TB disk storage capacity, has been a great success and consequently was recently expanded to significantly increase its computing capacity. The objective of this article is to highlight some of the major achievements and benefits of this O2R approach and some lessons learned, with the ultimate goal of inspiring other O2R/R2O initiatives in other areas and for other applications.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1175/bams-d-14-00188.1
- https://journals.ametsoc.org/downloadpdf/journals/bams/97/12/bams-d-14-00188.1.pdf
- OA Status
- bronze
- Cited By
- 29
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2346458440
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2346458440Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1175/bams-d-14-00188.1Digital Object Identifier
- Title
-
S4: An O2R/R2O Infrastructure for Optimizing Satellite Data Utilization in NOAA Numerical Modeling Systems: A Step Toward Bridging the Gap between Research and OperationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-05-06Full publication date if available
- Authors
-
Sid‐Ahmed Boukabara, Tong Zhu, Hendrik L. Tolman, Steve Lord, Steven J. Goodman, Robert Atlas, Mitch Goldberg, Thomas Auligné, R. B. Pierce, Lídia Cucurull, Milija Županski, Man Zhang, Isaac Moradi, Jason A. Otkin, David Santek, Brett T. Hoover, Zhaoxia Pu, Xiwu Zhan, Christopher Hain, Eugenia Kalnay, Daisuke Hotta, Scott Nolin, E. J. Bayler, Avichal Mehra, Sean Casey, Daniel T. Lindsey, Louie Grasso, V. Krishna Kumar, Alfred M. Powell, Jianjun Xu, Thomas J. Greenwald, Joe Zajic, Jun Li, Jinliong Li, Bin Li, Jicheng Liu, Li Fang, Pei Wang, Tse‐Chun ChenList of authors in order
- Landing page
-
https://doi.org/10.1175/bams-d-14-00188.1Publisher landing page
- PDF URL
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https://journals.ametsoc.org/downloadpdf/journals/bams/97/12/bams-d-14-00188.1.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
- OA URL
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https://journals.ametsoc.org/downloadpdf/journals/bams/97/12/bams-d-14-00188.1.pdfDirect OA link when available
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Bridging (networking), Data assimilation, Computer science, Scripting language, Supercomputer, Operations research, Meteorology, Engineering, Computer security, Operating system, PhysicsTop concepts (fields/topics) attached by OpenAlex
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29Total citation count in OpenAlex
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2024: 3, 2023: 1, 2022: 5, 2021: 8, 2020: 3Per-year citation counts (last 5 years)
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46Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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