Articles | Volume 16, issue 7
https://doi.org/10.5194/amt-16-1803-2023
© Author(s) 2023. 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-16-1803-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 1: Model description and Jacobian calculation
Department of Atmospheric Sciences, University of Illinois, Urbana, IL 61801, USA
Aviad Levis
Computer and Mathematical Sciences Department, California Institute of Technology, Pasadena, CA 91125, USA
Larry Di Girolamo
Department of Atmospheric Sciences, University of Illinois, Urbana, IL 61801, USA
Vadim Holodovsky
Viterbi Faculty of Electrical and Computer Engineering, Technion –
Israel Institute of Technology, Haifa 3200003, Israel
Linda Forster
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Anthony B. Davis
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Yoav Y. Schechner
Viterbi Faculty of Electrical and Computer Engineering, Technion –
Israel Institute of Technology, Haifa 3200003, Israel
Viewed
Total article views: 3,113 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Sep 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,201 | 805 | 107 | 3,113 | 127 | 151 |
- HTML: 2,201
- PDF: 805
- XML: 107
- Total: 3,113
- BibTeX: 127
- EndNote: 151
Total article views: 2,274 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Apr 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,701 | 484 | 89 | 2,274 | 112 | 140 |
- HTML: 1,701
- PDF: 484
- XML: 89
- Total: 2,274
- BibTeX: 112
- EndNote: 140
Total article views: 839 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Sep 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 500 | 321 | 18 | 839 | 15 | 11 |
- HTML: 500
- PDF: 321
- XML: 18
- Total: 839
- BibTeX: 15
- EndNote: 11
Viewed (geographical distribution)
Total article views: 3,113 (including HTML, PDF, and XML)
Thereof 3,061 with geography defined
and 52 with unknown origin.
Total article views: 2,274 (including HTML, PDF, and XML)
Thereof 2,210 with geography defined
and 64 with unknown origin.
Total article views: 839 (including HTML, PDF, and XML)
Thereof 839 with geography defined
and 0 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
12 citations as recorded by crossref.
- NeMF: Neural Microphysics Fields I. Kom-Betzer et al. 10.1109/TPAMI.2024.3467913
- Influence of cloud retrieval errors due to three-dimensional radiative effects on calculations of broadband shortwave cloud radiative effect A. Ademakinwa et al. 10.5194/acp-24-3093-2024
- Application of radon transform to multi-angle measurements made by the research scanning polarimeter: a new approach to cloud tomography. Part II: examples of retrievals from CAMP2Ex dataset M. Alexandrov et al. 10.3389/frsen.2025.1689824
- DNN-Based 3-D Cloud Retrieval for Variable Solar Illumination and Multiview Spaceborne Imaging T. Klein et al. 10.1109/LGRS.2025.3550408
- Imagers for Spaceborne Cloud Tomography V. Holodovsky et al. 10.1109/TGRS.2025.3600736
- Errors in stereoscopic retrievals of cloud top height for single-layer clouds J. Loveridge & L. Di Girolamo 10.5194/amt-18-3009-2025
- Considering the Effects of Horizontal Heterogeneities in Satellite-Based Large-Scale Statistics of Cloud Optical Properties T. Várnai & A. Marshak 10.3390/rs16183388
- Cloud characterization by computed tomography methods using a satellite formation of 10 small satellites for improved climate prediction L. Elsner et al. 10.1016/j.actaastro.2025.06.053
- Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar R. Lung & N. Polydorides 10.1137/23M1598404
- Tomographic reconstruction algorithms for retrieving two-dimensional ice cloud microphysical parameters using along-track (sub)millimeter-wave radiometer observations Y. Liu & I. Adams 10.5194/amt-18-1659-2025
- Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 2: Local optimization J. Loveridge et al. 10.5194/amt-16-3931-2023
- The Education and Research 3D Radiative Transfer Toolbox (EaR3T) – towards the mitigation of 3D bias in airborne and spaceborne passive imagery cloud retrievals H. Chen et al. 10.5194/amt-16-1971-2023
11 citations as recorded by crossref.
- NeMF: Neural Microphysics Fields I. Kom-Betzer et al. 10.1109/TPAMI.2024.3467913
- Influence of cloud retrieval errors due to three-dimensional radiative effects on calculations of broadband shortwave cloud radiative effect A. Ademakinwa et al. 10.5194/acp-24-3093-2024
- Application of radon transform to multi-angle measurements made by the research scanning polarimeter: a new approach to cloud tomography. Part II: examples of retrievals from CAMP2Ex dataset M. Alexandrov et al. 10.3389/frsen.2025.1689824
- DNN-Based 3-D Cloud Retrieval for Variable Solar Illumination and Multiview Spaceborne Imaging T. Klein et al. 10.1109/LGRS.2025.3550408
- Imagers for Spaceborne Cloud Tomography V. Holodovsky et al. 10.1109/TGRS.2025.3600736
- Errors in stereoscopic retrievals of cloud top height for single-layer clouds J. Loveridge & L. Di Girolamo 10.5194/amt-18-3009-2025
- Considering the Effects of Horizontal Heterogeneities in Satellite-Based Large-Scale Statistics of Cloud Optical Properties T. Várnai & A. Marshak 10.3390/rs16183388
- Cloud characterization by computed tomography methods using a satellite formation of 10 small satellites for improved climate prediction L. Elsner et al. 10.1016/j.actaastro.2025.06.053
- Imaging of Atmospheric Dispersion Processes with Differential Absorption Lidar R. Lung & N. Polydorides 10.1137/23M1598404
- Tomographic reconstruction algorithms for retrieving two-dimensional ice cloud microphysical parameters using along-track (sub)millimeter-wave radiometer observations Y. Liu & I. Adams 10.5194/amt-18-1659-2025
- Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 2: Local optimization J. Loveridge et al. 10.5194/amt-16-3931-2023
Latest update: 01 Nov 2025
Short summary
We describe a new method for measuring the 3D spatial variations in water within clouds using the reflected light of the Sun viewed at multiple different angles by satellites. This is a great improvement over older methods, which typically assume that clouds occur in a slab shape. Our study used computer modeling to show that our 3D method will work well in cumulus clouds, where older slab methods do not. Our method will inform us about these clouds and their role in our climate.
We describe a new method for measuring the 3D spatial variations in water within clouds using...