Articles | Volume 13, issue 8
https://doi.org/10.5194/amt-13-4277-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-4277-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Aug 2020
Research article |
| 14 Aug 2020
| 14 Aug 2020
Three-dimensional radiative transfer effects on airborne and ground-based trace gas remote sensing
Marc Schwaerzel
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Claudia Emde
Meteorological Institute, Ludwig Maximillian University,
Munich, Germany
Dominik Brunner
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Randulph Morales
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Thomas Wagner
Satellite Remote Sensing Group, Max Planck Institute for Chemistry, Mainz, Germany
Alexis Berne
Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Brigitte Buchmann
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
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Cited
13 citations as recorded by crossref.
- A Proof-of-Concept Algorithm for the Retrieval of Total Column Amount of Trace Gases in a Multi-Dimensional Atmosphere A. Doicu et al. 10.3390/rs13020270
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 3: Bias estimate using synthetic and observational data A. Kylling et al. 10.5194/amt-15-3481-2022
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 2: Impact on NO2 retrieval and mitigation strategies H. Yu et al. 10.5194/amt-15-5743-2022
- Impact of 3D radiative transfer on airborne NO2 imaging remote sensing over cities with buildings M. Schwaerzel et al. 10.5194/amt-14-6469-2021
- Characterization of errors in satellite-based HCHO ∕ NO2 tropospheric column ratios with respect to chemistry, column-to-PBL translation, spatial representation, and retrieval uncertainties A. Souri et al. 10.5194/acp-23-1963-2023
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms C. Emde et al. 10.5194/amt-15-1587-2022
- Investigation of three-dimensional radiative transfer effects for UV–Vis satellite and ground-based observations of volcanic plumes T. Wagner et al. 10.5194/amt-16-1609-2023
- Weak degassing from remote Alaska volcanoes characterized with a new airborne imaging DOAS instrument and a suite of in situ sensors C. Kern & P. Kelly 10.3389/feart.2023.1088056
- Spherical air mass factors in one and two dimensions with SASKTRAN 1.6.0 L. Fehr et al. 10.5194/gmd-16-7491-2023
- Analyzing nitrogen dioxide to nitrogen oxide scaling factors for data-driven satellite-based emission estimation methods: A case study of Matimba/Medupi power stations in South Africa J. Hakkarainen et al. 10.1016/j.apr.2024.102171
- Sensitivity Analysis of Gas Retrieval from FS MAX-DOAS Measurements J. Xu et al. 10.3390/rs17010004
- Mapping the spatial distribution of NO2 with in situ and remote sensing instruments during the Munich NO2 imaging campaign G. Kuhlmann et al. 10.5194/amt-15-1609-2022
- Three-dimensional radiative transfer effects on airborne and ground-based trace gas remote sensing M. Schwaerzel et al. 10.5194/amt-13-4277-2020
12 citations as recorded by crossref.
- A Proof-of-Concept Algorithm for the Retrieval of Total Column Amount of Trace Gases in a Multi-Dimensional Atmosphere A. Doicu et al. 10.3390/rs13020270
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 3: Bias estimate using synthetic and observational data A. Kylling et al. 10.5194/amt-15-3481-2022
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 2: Impact on NO2 retrieval and mitigation strategies H. Yu et al. 10.5194/amt-15-5743-2022
- Impact of 3D radiative transfer on airborne NO2 imaging remote sensing over cities with buildings M. Schwaerzel et al. 10.5194/amt-14-6469-2021
- Characterization of errors in satellite-based HCHO ∕ NO2 tropospheric column ratios with respect to chemistry, column-to-PBL translation, spatial representation, and retrieval uncertainties A. Souri et al. 10.5194/acp-23-1963-2023
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms C. Emde et al. 10.5194/amt-15-1587-2022
- Investigation of three-dimensional radiative transfer effects for UV–Vis satellite and ground-based observations of volcanic plumes T. Wagner et al. 10.5194/amt-16-1609-2023
- Weak degassing from remote Alaska volcanoes characterized with a new airborne imaging DOAS instrument and a suite of in situ sensors C. Kern & P. Kelly 10.3389/feart.2023.1088056
- Spherical air mass factors in one and two dimensions with SASKTRAN 1.6.0 L. Fehr et al. 10.5194/gmd-16-7491-2023
- Analyzing nitrogen dioxide to nitrogen oxide scaling factors for data-driven satellite-based emission estimation methods: A case study of Matimba/Medupi power stations in South Africa J. Hakkarainen et al. 10.1016/j.apr.2024.102171
- Sensitivity Analysis of Gas Retrieval from FS MAX-DOAS Measurements J. Xu et al. 10.3390/rs17010004
- Mapping the spatial distribution of NO2 with in situ and remote sensing instruments during the Munich NO2 imaging campaign G. Kuhlmann et al. 10.5194/amt-15-1609-2022
1 citations as recorded by crossref.
Latest update: 29 May 2025
Short summary
Horizontal homogeneity is often assumed for trace gases remote sensing, although it is not valid where trace gas concentrations have high spatial variability, e.g., in cities. We show the importance of 3D effects for MAX-DOAS and airborne imaging spectrometers using 3D-box air mass factors implemented in the MYSTIC radiative transfer solver. In both cases, 3D information is invaluable for interpreting the measurements, as not considering 3D effects can lead to misinterpretation of measurements.
Horizontal homogeneity is often assumed for trace gases remote sensing, although it is not valid...
