Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7497-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-7497-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
08 Dec 2021
Model description paper |
| 08 Dec 2021
| 08 Dec 2021
Bulk hydrometeor optical properties for microwave and sub-millimetre radiative transfer in RTTOV-SCATT v13.0
ECMWF, Research Department, Shinfield Park, Reading, RG2 9AX, UK
Peter Bauer
ECMWF, Research Department, Shinfield Park, Reading, RG2 9AX, UK
Katrin Lonitz
ECMWF, Research Department, Shinfield Park, Reading, RG2 9AX, UK
Vasileios Barlakas
Chalmers University of Technology, Department of Space, Earth and Environment, Gothenburg, Sweden
Patrick Eriksson
Chalmers University of Technology, Department of Space, Earth and Environment, Gothenburg, Sweden
Jana Mendrok
Chalmers University of Technology, Department of Space, Earth and Environment, Gothenburg, Sweden
now at: Deutscher Wetterdienst, Offenbach, Germany
Amy Doherty
Met Office, Exeter, UK
James Hocking
Met Office, Exeter, UK
Philippe Chambon
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Viewed
Total article views: 3,214 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Jun 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,149 | 970 | 95 | 3,214 | 77 | 39 |
- HTML: 2,149
- PDF: 970
- XML: 95
- Total: 3,214
- BibTeX: 77
- EndNote: 39
Total article views: 2,071 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Dec 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,402 | 593 | 76 | 2,071 | 62 | 34 |
- HTML: 1,402
- PDF: 593
- XML: 76
- Total: 2,071
- BibTeX: 62
- EndNote: 34
Total article views: 1,143 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Jun 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 747 | 377 | 19 | 1,143 | 15 | 5 |
- HTML: 747
- PDF: 377
- XML: 19
- Total: 1,143
- BibTeX: 15
- EndNote: 5
Viewed (geographical distribution)
Total article views: 3,214 (including HTML, PDF, and XML)
Thereof 3,054 with geography defined
and 160 with unknown origin.
Total article views: 2,071 (including HTML, PDF, and XML)
Thereof 1,979 with geography defined
and 92 with unknown origin.
Total article views: 1,143 (including HTML, PDF, and XML)
Thereof 1,075 with geography defined
and 68 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
17 citations as recorded by crossref.
- The Ice Cloud Imager: retrieval of frozen water column properties E. May et al. 10.5194/amt-17-5957-2024
- Assimilating FY3D‐MWRI 23.8 GHz observations in the CMA‐GFS 4DVAR system based on a pseudo All‐Sky data assimilation method H. Xie et al. 10.1002/qj.4544
- PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al. 10.5194/gmd-17-2053-2024
- Deep Convection as Inferred From the C2OMODO Concept of a Tandem of Microwave Radiometers F. Auguste & J. Chaboureau 10.3389/frsen.2022.852610
- ZJU-AERO V0.5: an Accurate and Efficient Radar Operator designed for CMA-GFS/MESO with the capability to simulate non-spherical hydrometeors H. Xie et al. 10.5194/gmd-17-5657-2024
- The first microwave and submillimetre closure study using particle models of oriented ice hydrometeors to simulate polarimetric measurements of ice clouds K. McCusker et al. 10.5194/amt-17-3533-2024
- Evaluation of RTTOV-SCATT Performance With a Vector Discrete Ordinate Method for an Atmosphere Including Nonspherical Raindrops S. Wang et al. 10.1109/TGRS.2024.3470963
- Cloud Phase Classification Based on the Submillimeter and Microwave Radiometer Synergistic Observations P. Dong et al. 10.1109/LGRS.2024.3450872
- The Predictability of a Heavy Rainfall Event during the Summer of 2022 Using an All-sky Radiance Assimilation Experiment H. Song & S. Lee 10.1007/s13143-024-00365-5
- A global observing‐system simulation experiment for the EPS–Sterna microwave constellation L. Rivoire et al. 10.1002/qj.4747
- Effects of Inhomogeneous Ice Particle Habit Distribution on Passive Microwave Radiative Transfer Simulations J. Kim et al. 10.1109/TGRS.2024.3349484
- Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals I. Kaur et al. 10.3390/rs14071594
- Performances between the FY‐4A/GIIRS and FY‐4B/GIIRS Long‐Wave InfraRed (LWIR) channels under clear‐sky and all‐sky conditions Z. Niu et al. 10.1002/qj.4473
- Synergistic approach of frozen hydrometeor retrievals: considerations on radiative transfer and model uncertainties in a simulated framework E. Villeneuve et al. 10.5194/amt-17-3567-2024
- A Cloud Detection Neural Network Approach for the Next Generation Microwave Sounder Aboard EPS MetOp-SG A1 S. Larosa et al. 10.3390/rs15071798
- Physical characteristics of frozen hydrometeors inferred with parameter estimation A. Geer 10.5194/amt-14-5369-2021
- Implementation of a Discrete Dipole Approximation Scattering Database Into Community Radiative Transfer Model I. Moradi et al. 10.1029/2022JD036957
14 citations as recorded by crossref.
- The Ice Cloud Imager: retrieval of frozen water column properties E. May et al. 10.5194/amt-17-5957-2024
- Assimilating FY3D‐MWRI 23.8 GHz observations in the CMA‐GFS 4DVAR system based on a pseudo All‐Sky data assimilation method H. Xie et al. 10.1002/qj.4544
- PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al. 10.5194/gmd-17-2053-2024
- Deep Convection as Inferred From the C2OMODO Concept of a Tandem of Microwave Radiometers F. Auguste & J. Chaboureau 10.3389/frsen.2022.852610
- ZJU-AERO V0.5: an Accurate and Efficient Radar Operator designed for CMA-GFS/MESO with the capability to simulate non-spherical hydrometeors H. Xie et al. 10.5194/gmd-17-5657-2024
- The first microwave and submillimetre closure study using particle models of oriented ice hydrometeors to simulate polarimetric measurements of ice clouds K. McCusker et al. 10.5194/amt-17-3533-2024
- Evaluation of RTTOV-SCATT Performance With a Vector Discrete Ordinate Method for an Atmosphere Including Nonspherical Raindrops S. Wang et al. 10.1109/TGRS.2024.3470963
- Cloud Phase Classification Based on the Submillimeter and Microwave Radiometer Synergistic Observations P. Dong et al. 10.1109/LGRS.2024.3450872
- The Predictability of a Heavy Rainfall Event during the Summer of 2022 Using an All-sky Radiance Assimilation Experiment H. Song & S. Lee 10.1007/s13143-024-00365-5
- A global observing‐system simulation experiment for the EPS–Sterna microwave constellation L. Rivoire et al. 10.1002/qj.4747
- Effects of Inhomogeneous Ice Particle Habit Distribution on Passive Microwave Radiative Transfer Simulations J. Kim et al. 10.1109/TGRS.2024.3349484
- Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals I. Kaur et al. 10.3390/rs14071594
- Performances between the FY‐4A/GIIRS and FY‐4B/GIIRS Long‐Wave InfraRed (LWIR) channels under clear‐sky and all‐sky conditions Z. Niu et al. 10.1002/qj.4473
- Synergistic approach of frozen hydrometeor retrievals: considerations on radiative transfer and model uncertainties in a simulated framework E. Villeneuve et al. 10.5194/amt-17-3567-2024
3 citations as recorded by crossref.
- A Cloud Detection Neural Network Approach for the Next Generation Microwave Sounder Aboard EPS MetOp-SG A1 S. Larosa et al. 10.3390/rs15071798
- Physical characteristics of frozen hydrometeors inferred with parameter estimation A. Geer 10.5194/amt-14-5369-2021
- Implementation of a Discrete Dipole Approximation Scattering Database Into Community Radiative Transfer Model I. Moradi et al. 10.1029/2022JD036957
Latest update: 13 Dec 2024
Short summary
Satellite observations of radiation from the earth can have strong sensitivity to cloud and precipitation in the atmosphere, with applications in weather forecasting and the development of models. Computing the radiation received at the satellite sensor using radiative transfer theory requires a simulation of the optical properties of a volume containing a large number of cloud and precipitation particles. This article describes the physics used to generate these
bulkoptical properties.
Satellite observations of radiation from the earth can have strong sensitivity to cloud and...
