EPIC/DSCOVR as a Pathfinder in Cloud Remote Sensing Using Differential Oxygen Absorption Spectroscopy Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/frsen.2022.796273
We argue that the Earth Polychromatic Imaging Camera (EPIC) on the Deep Space Climate ObserVatoRy (DSCOVR) platform has blazed new pathways in observational technology, starting with its ∼ 1.5 × 106 km stand-off distance, but also in remote sensing science. We focus here on EPIC’s two oxygen absorption channels that 1) are unique in their spectral sampling and 2) have stimulated deep innovation in cloud remote sensing using Differential Oxygen Absorption Spectroscopy (DO 2 AS). Although first formulated 6 decades ago, DO 2 AS-based cloud probing from overhead assets is still an emerging observational technique. It is indeed somewhat paradoxical that one should use absorption by a gas to assay scattering by particles. After surveying the history of space-based DO 2 AS, and looking into its future, we see that EPIC/DSCOVR marks an inflection point in this important development. EPIC’s unique DO 2 AS capability motivated a notable sequence of papers revisited here. This research indeed spawned a rare occurrence of information content analysis coming from radically different—yet complementary—perspectives. First, we adopted the increasingly popular machinery of optimal estimation (OE) that is grounded in Bayesian statistics and uses a somehow linearized radiative transfer (RT) model. Nonetheless, OE feels like a black-box algorithm that outputs a number of “degrees of freedom” (a.k.a. independent pieces of information about clouds under observation). However, the very same conclusions are reached using fully transparent physics-based modeling for the RT, with a few approximations that enable closed-form analytical formulation. Lastly, we preview a novel DO 2 AS technique for regaining shortwave sensitivity to cloud optical thickness past the threshold where cloud reflectivity flattens off.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/frsen.2022.796273
- https://www.frontiersin.org/articles/10.3389/frsen.2022.796273/pdf
- OA Status
- gold
- Cited By
- 5
- References
- 86
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220956587
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4220956587Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/frsen.2022.796273Digital Object Identifier
- Title
-
EPIC/DSCOVR as a Pathfinder in Cloud Remote Sensing Using Differential Oxygen Absorption SpectroscopyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-11Full publication date if available
- Authors
-
Anthony B. Davis, Yuekui Yang, Alexander MarshakList of authors in order
- Landing page
-
https://doi.org/10.3389/frsen.2022.796273Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/frsen.2022.796273/pdfDirect link to full text PDF
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-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/frsen.2022.796273/pdfDirect OA link when available
- Concepts
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Absorption (acoustics), Cloud computing, Radiative transfer, Remote sensing, Computer science, Physics, Meteorology, Geography, Optics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
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2023: 2, 2022: 3Per-year citation counts (last 5 years)
- References (count)
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86Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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