Articles | Volume 13, issue 8
https://doi.org/10.5194/amt-13-4219-2020
© 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-13-4219-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Aug 2020
Research article |
| 12 Aug 2020
| 12 Aug 2020
Synergistic radar and radiometer retrievals of ice hydrometeors
Simon Pfreundschuh
CORRESPONDING AUTHOR
Department of Space, Earth and Environment, Chalmers University of Technology, 41296 Gothenburg, Sweden
Patrick Eriksson
Department of Space, Earth and Environment, Chalmers University of Technology, 41296 Gothenburg, Sweden
Stefan A. Buehler
Meteorologisches Institut, Fachbereich Geowissenschaften, Centrum für Erdsystem und Nachhaltigkeitsforschung (CEN), Universität Hamburg, Bundesstraße 55, 20146 Hamburg, Germany
Manfred Brath
Meteorologisches Institut, Fachbereich Geowissenschaften, Centrum für Erdsystem und Nachhaltigkeitsforschung (CEN), Universität Hamburg, Bundesstraße 55, 20146 Hamburg, Germany
David Duncan
Department of Space, Earth and Environment, Chalmers University of Technology, 41296 Gothenburg, Sweden
now at: European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, UK
Richard Larsson
Max Planck Institute for Solar System Research, Justus-von-Liebig-Weg 3, 37077 Göttingen, Germany
Robin Ekelund
Department of Space, Earth and Environment, Chalmers University of Technology, 41296 Gothenburg, Sweden
Viewed
Total article views: 4,786 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Oct 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,620 | 1,052 | 114 | 4,786 | 636 | 175 | 181 |
- HTML: 3,620
- PDF: 1,052
- XML: 114
- Total: 4,786
- Supplement: 636
- BibTeX: 175
- EndNote: 181
Total article views: 3,978 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Aug 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,245 | 644 | 89 | 3,978 | 240 | 140 | 148 |
- HTML: 3,245
- PDF: 644
- XML: 89
- Total: 3,978
- Supplement: 240
- BibTeX: 140
- EndNote: 148
Total article views: 808 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Oct 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 375 | 408 | 25 | 808 | 396 | 35 | 33 |
- HTML: 375
- PDF: 408
- XML: 25
- Total: 808
- Supplement: 396
- BibTeX: 35
- EndNote: 33
Viewed (geographical distribution)
Total article views: 4,786 (including HTML, PDF, and XML)
Thereof 4,537 with geography defined
and 249 with unknown origin.
Total article views: 3,978 (including HTML, PDF, and XML)
Thereof 3,865 with geography defined
and 113 with unknown origin.
Total article views: 808 (including HTML, PDF, and XML)
Thereof 672 with geography defined
and 136 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
15 citations as recorded by crossref.
- Bulk hydrometeor optical properties for microwave and sub-millimetre radiative transfer in RTTOV-SCATT v13.0 A. Geer et al.
- Assessing synergistic radar and radiometer capability in retrieving ice cloud microphysics based on hybrid Bayesian algorithms Y. Liu & G. Mace
- A New Deep-Learning-Based Framework for Ice Water Path Retrieval From Microwave Humidity Sounder-II Aboard FengYun-3D Satellite W. Wang et al.
- Synergistic approach of frozen hydrometeor retrievals: considerations on radiative transfer and model uncertainties in a simulated framework E. Villeneuve et al.
- Tomographic reconstruction algorithms for retrieving two-dimensional ice cloud microphysical parameters using along-track (sub)millimeter-wave radiometer observations Y. Liu & I. Adams
- The Ice Cloud Imager: retrieval of frozen water column properties E. May et al.
- The Ice Cloud Imager: retrieval of frozen water mass profiles E. May & P. Eriksson
- Assessing Synergistic Radar and Radiometer Retrievals of Ice Cloud Microphysics for the Atmosphere Observing System (AOS) Architecture Y. Liu et al.
- Relation Models of Surface Parameters and Backscattering (or Radiation) Fields as a Tool for Solving Remote Sensing Problems K. Nezhalska et al.
- Synergy of millimeter-wave radar and radiometer measurements for retrieving frozen hydrometeors in deep convective systems K. Ohara & H. Masunaga
- A Novel Ice Cloud Retrieval Algorithm for Submillimeter Wave Radiometers: Simulations and Application to an Airborne Experiment P. Dong et al.
- Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems S. Pfreundschuh et al.
- The atmospheric radiative transfer simulator ARTS, version 2.6 — Deep python integration S. Buehler et al.
- Ice water path retrievals from Meteosat-9 using quantile regression neural networks A. Amell et al.
- Retrieval of ice water path from the Microwave Humidity Sounder (MWHS) aboard FengYun-3B (FY-3B) satellite polarimetric measurements based on a deep neural network W. Wang et al.
15 citations as recorded by crossref.
- Bulk hydrometeor optical properties for microwave and sub-millimetre radiative transfer in RTTOV-SCATT v13.0 A. Geer et al.
- Assessing synergistic radar and radiometer capability in retrieving ice cloud microphysics based on hybrid Bayesian algorithms Y. Liu & G. Mace
- A New Deep-Learning-Based Framework for Ice Water Path Retrieval From Microwave Humidity Sounder-II Aboard FengYun-3D Satellite W. Wang et al.
- Synergistic approach of frozen hydrometeor retrievals: considerations on radiative transfer and model uncertainties in a simulated framework E. Villeneuve et al.
- Tomographic reconstruction algorithms for retrieving two-dimensional ice cloud microphysical parameters using along-track (sub)millimeter-wave radiometer observations Y. Liu & I. Adams
- The Ice Cloud Imager: retrieval of frozen water column properties E. May et al.
- The Ice Cloud Imager: retrieval of frozen water mass profiles E. May & P. Eriksson
- Assessing Synergistic Radar and Radiometer Retrievals of Ice Cloud Microphysics for the Atmosphere Observing System (AOS) Architecture Y. Liu et al.
- Relation Models of Surface Parameters and Backscattering (or Radiation) Fields as a Tool for Solving Remote Sensing Problems K. Nezhalska et al.
- Synergy of millimeter-wave radar and radiometer measurements for retrieving frozen hydrometeors in deep convective systems K. Ohara & H. Masunaga
- A Novel Ice Cloud Retrieval Algorithm for Submillimeter Wave Radiometers: Simulations and Application to an Airborne Experiment P. Dong et al.
- Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems S. Pfreundschuh et al.
- The atmospheric radiative transfer simulator ARTS, version 2.6 — Deep python integration S. Buehler et al.
- Ice water path retrievals from Meteosat-9 using quantile regression neural networks A. Amell et al.
- Retrieval of ice water path from the Microwave Humidity Sounder (MWHS) aboard FengYun-3B (FY-3B) satellite polarimetric measurements based on a deep neural network W. Wang et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
The next generation of European operational weather satellites will carry a novel microwave sensor, the Ice Cloud Imager (ICI), which will provide observations of clouds at microwave frequencies that were not available before. We investigate the potential benefits of combining observations from ICI with that of a radar. We find that such combined observations provide additional information on the properties of the cloud and help to reduce uncertainties in retrieved mass and number densities.
The next generation of European operational weather satellites will carry a novel microwave...
