Community Global Observing System Simulation Experiment (OSSE) Package (CGOP): Assessment and Validation of the OSSE System Using an OSSE–OSE Intercomparison of Summary Assessment Metrics Article Swipe
Sid‐Ahmed Boukabara
,
Kayo Ide
,
Yan Zhou
,
Narges Shahroudi
,
Ross N. Hoffman
,
Kevin Garrett
,
V. Krishna Kumar
,
Tong Zhu
,
Robert Atlas
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1175/jtech-d-18-0061.1
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1175/jtech-d-18-0061.1
Observing system simulation experiments (OSSEs) are used to simulate and assess the impacts of new observing systems planned for the future or the impacts of adopting new techniques for exploiting data or for forecasting. This study focuses on the impacts of satellite data on global numerical weather prediction (NWP) systems. Since OSSEs are based on simulations of nature and observations, reliable results require that the OSSE system be validated. This validation involves cycles of assessment and calibration of the individual system components, as well as the complete system, with the end goal of reproducing the behavior of real-data observing system experiments (OSEs). This study investigates the accuracy of the calibration of an OSSE system—here, the Community Global OSSE Package (CGOP) system—before any explicit tuning has been performed by performing an intercomparison of the OSSE summary assessment metrics (SAMs) with those obtained from parallel real-data OSEs. The main conclusion reached in this study is that, based on the SAMs, the CGOP is able to reproduce aspects of the analysis and forecast performance of parallel OSEs despite the simplifications employed in the OSSEs. This conclusion holds even when the SAMs are stratified by various subsets (the tropics only, temperature only, etc.).
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1175/jtech-d-18-0061.1
- https://journals.ametsoc.org/downloadpdf/journals/atot/35/10/jtech-d-18-0061.1.pdf
- OA Status
- bronze
- Cited By
- 13
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2887126998
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Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2887126998Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1175/jtech-d-18-0061.1Digital Object Identifier
- Title
-
Community Global Observing System Simulation Experiment (OSSE) Package (CGOP): Assessment and Validation of the OSSE System Using an OSSE–OSE Intercomparison of Summary Assessment MetricsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-08-15Full publication date if available
- Authors
-
Sid‐Ahmed Boukabara, Kayo Ide, Yan Zhou, Narges Shahroudi, Ross N. Hoffman, Kevin Garrett, V. Krishna Kumar, Tong Zhu, Robert AtlasList of authors in order
- Landing page
-
https://doi.org/10.1175/jtech-d-18-0061.1Publisher landing page
- PDF URL
-
https://journals.ametsoc.org/downloadpdf/journals/atot/35/10/jtech-d-18-0061.1.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://journals.ametsoc.org/downloadpdf/journals/atot/35/10/jtech-d-18-0061.1.pdfDirect OA link when available
- Concepts
-
Environmental science, Calibration, Meteorology, Satellite, Computer science, Data assimilation, Remote sensing, Aerospace engineering, Mathematics, Statistics, Engineering, Physics, GeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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13Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 3, 2022: 1, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
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26Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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