Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 2: Local optimization
Abstract (σ 3 D) at 40 m resolution from synthetic multi-angle, mono-spectral imagery at 35 m resolution derived from stochastically generated cumuliform-type clouds in (1 km) 3 domains. The retrievals are idealized in that we neglect forward-modelling and instrumental errors, with the exception of radiometric noise; thus, reported retrieval errors are the lower bounds. σ 3 D is retrieved with, on average, a relative root mean square error (RRMSE) < < < < σ 3 D worsen to 60 % and - σ 3 D to - ∼ σ 3 D. This illustrates a significant sensitivity of the retrieval to the numerical configuration of the RT model which, at least in our circumstances, improves the retrieval accuracy. All of these ensemble-averaged results are robust in response to the inclusion of radiometric noise during the retrieval. However, individual realizations can have large deviations of up to 18 % in the mean extinction in clouds with MOD ∼ < - - - σ 3 D in the optically thick limit, where the RRMSE is shown to have a strong spatial structure that varies with the solar and viewing geometry.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 2: Local optimization ; volume:16 ; number:16 ; year:2023 ; pages:3931-3957 ; extent:27
Atmospheric measurement techniques ; 16, Heft 16 (2023), 3931-3957 (gesamt 27)
- Creator
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Loveridge, Jesse
Levis, Aviad
Di Girolamo, Larry
Holodovsky, Vadim
Forster, Linda
Davis, Anthony B.
Schechner, Yoav Y.
- DOI
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10.5194/amt-16-3931-2023
- URN
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urn:nbn:de:101:1-2023083104222323324497
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:52 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Loveridge, Jesse
- Levis, Aviad
- Di Girolamo, Larry
- Holodovsky, Vadim
- Forster, Linda
- Davis, Anthony B.
- Schechner, Yoav Y.
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