2023
DOI: 10.5194/amt-16-1609-2023
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Investigation of three-dimensional radiative transfer effects for UV–Vis satellite and ground-based observations of volcanic plumes

Abstract: Abstract. We investigate effects of the three-dimensional (3D) structure of volcanic plumes on the retrieval results of satellite and ground-based UV–Vis observations. For the analysis of such measurements, 1D scenarios are usually assumed (the atmospheric properties only depend on altitude). While 1D assumptions are well suited for the analysis of many atmospheric phenomena, they are usually less appropriate for narrow trace gas plumes. For UV–Vis satellite instruments with large ground pixel sizes like the G… Show more

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Cited by 8 publications
(2 citation statements)
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“…x 5.5 km 2 spatial resolution which is unable to capture the peaks of the NO2 pollution, especially the NO2 in narrow point source plume 42 . Previous work shows that the air mass factor is a small contributor to this low satellite bias in this area 30 , but this can vary by region 43 .…”
Section: Resultsmentioning
confidence: 99%
“…x 5.5 km 2 spatial resolution which is unable to capture the peaks of the NO2 pollution, especially the NO2 in narrow point source plume 42 . Previous work shows that the air mass factor is a small contributor to this low satellite bias in this area 30 , but this can vary by region 43 .…”
Section: Resultsmentioning
confidence: 99%
“…The quality of the retrieval mainly depends on variations in surface reflectivity, solar zenith angle, atmospheric conditions, proximity to swath edge, 3D effects, while also depending on the retrieval algorithm itself (Fioletov et al, 2020;McCormick et al, 2013;Wagner et al, 2023). In the literature, the "uncertainty of the retrieval" is generally reported in the form of a single aggregated standard deviation "σ" (after appropriate unit conversion, σ = κ • σ CA , where pixel mass standard deviation σ is expressed in kton and pixel column amount standard deviation σ CA is expressed in Dobson Units).…”
Section: Spatially-averaged Background Noisementioning
confidence: 99%