Community Global Observing System Simulation Experiment (OSSE) Package (CGOP): Perfect Observations Simulation Validation Article Swipe
Sid‐Ahmed Boukabara
,
Kayo Ide
,
Narges Shahroudi
,
Yan Zhou
,
Tong Zhu
,
Ruifang Li
,
Lídia Cucurull
,
Robert Atlas
,
Sean Casey
,
Ross N. Hoffman
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1175/jtech-d-17-0077.1
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1175/jtech-d-17-0077.1
The simulation of observations—a critical Community Global Observing System Simulation Experiment (OSSE) Package (CGOP) component—is validated first by a comparison of error-free simulated observations for the first 24 h at the start of the nature run (NR) to the real observations for those sensors that operated during that period. Sample results of this validation are presented here for existing low-Earth-orbiting (LEO) infrared (IR) and microwave (MW) brightness temperature (BT) observations, for radio occultation (RO) bending angle observations, and for various types of conventional observations. For sensors not operating at the start of the NR, a qualitative validation is obtained by comparing geographic and statistical characteristics of observations over the initial day for such a sensor and an existing similar sensor. The comparisons agree, with no significant unexplained bias, and to within the uncertainties caused by real observation errors, time and space collocation differences, radiative transfer uncertainties, and differences between the NR and reality. To validate channels of a proposed future MW sensor with no equivalent existing spaceborne sensor channel, multiple linear regression is used to relate these channels to existing similar channels. The validation then compares observations simulated from the NR to observations predicted by the regression relationship applied to actual real observations of the existing channels. Overall, the CGOP simulations of error-free observations from conventional and satellite platforms that make up the global observing system are found to be reasonably accurate and suitable as a starting point for creating realistic simulated observations for OSSEs. These findings complete a critical step in the CGOP validation, thereby reducing the caveats required when interpreting the OSSE results.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1175/jtech-d-17-0077.1
- https://journals.ametsoc.org/downloadpdf/journals/atot/35/1/jtech-d-17-0077.1.pdf
- OA Status
- bronze
- Cited By
- 14
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2763721847
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2763721847Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1175/jtech-d-17-0077.1Digital Object Identifier
- Title
-
Community Global Observing System Simulation Experiment (OSSE) Package (CGOP): Perfect Observations Simulation ValidationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-10-02Full publication date if available
- Authors
-
Sid‐Ahmed Boukabara, Kayo Ide, Narges Shahroudi, Yan Zhou, Tong Zhu, Ruifang Li, Lídia Cucurull, Robert Atlas, Sean Casey, Ross N. HoffmanList of authors in order
- Landing page
-
https://doi.org/10.1175/jtech-d-17-0077.1Publisher landing page
- PDF URL
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https://journals.ametsoc.org/downloadpdf/journals/atot/35/1/jtech-d-17-0077.1.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/35/1/jtech-d-17-0077.1.pdfDirect OA link when available
- Concepts
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Computer science, Environmental science, Remote sensing, Radiance, Satellite, Collocation (remote sensing), Brightness temperature, Meteorology, Simulation, Microwave, Aerospace engineering, Physics, Geology, Telecommunications, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 1, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
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23Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.unexplained | 127 |
| abstract_inverted_index.validation, | 255 |
| abstract_inverted_index.conventional | 83, 216 |
| abstract_inverted_index.differences, | 143 |
| abstract_inverted_index.interpreting | 262 |
| abstract_inverted_index.observations | 24, 41, 107, 187, 193, 203, 214, 243 |
| abstract_inverted_index.relationship | 198 |
| abstract_inverted_index.observations, | 70, 77 |
| abstract_inverted_index.observations. | 84 |
| abstract_inverted_index.uncertainties | 133 |
| abstract_inverted_index.component—is | 15 |
| abstract_inverted_index.uncertainties, | 146 |
| abstract_inverted_index.characteristics | 105 |
| abstract_inverted_index.observations—a | 4 |
| abstract_inverted_index.low-Earth-orbiting | 60 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5011921647 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I4210089050, https://openalex.org/I4210133019 |
| citation_normalized_percentile.value | 0.85410651 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |