Articles | Volume 11, issue 1
https://doi.org/10.5194/amt-11-611-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-11-611-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Feb 2018
Research article |
| 01 Feb 2018
Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures
Manfred Brath
CORRESPONDING AUTHOR
Meteorologisches Institut, Fachbereich Geowissenschaften, Centrum für Erdsystem- und Nachhaltigkeitsforschung (CEN),
Universität Hamburg, Bundesstraße 55, 20146 Hamburg, Germany
Stuart Fox
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Patrick Eriksson
Department of Space, Earth and Environment, Chalmers University of Technology, 41296 Gothenburg, Sweden
R. Chawn Harlow
Met Office, FitzRoy Road, Exeter, EX1 3PB, UK
Martin Burgdorf
Meteorologisches Institut, Fachbereich Geowissenschaften, Centrum für Erdsystem- und Nachhaltigkeitsforschung (CEN),
Universität Hamburg, Bundesstraße 55, 20146 Hamburg, Germany
Stefan A. Buehler
Meteorologisches Institut, Fachbereich Geowissenschaften, Centrum für Erdsystem- und Nachhaltigkeitsforschung (CEN),
Universität Hamburg, Bundesstraße 55, 20146 Hamburg, Germany
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Cited
34 citations as recorded by crossref.
- Low noise 874 GHz receivers for the International Submillimetre Airborne Radiometer (ISMAR) A. Hammar et al. 10.1063/1.5017583
- Three Dimensional Radiative Effects in Passive Millimeter/Sub-Millimeter All-sky Observations V. Barlakas & P. Eriksson 10.3390/rs12030531
- A channel selection method for hyperspectral atmospheric infrared sounders based on layering S. Chang et al. 10.5194/amt-13-629-2020
- An update on global atmospheric ice estimates from satellite observations and reanalyses D. Duncan & P. Eriksson 10.5194/acp-18-11205-2018
- Synthesizing the Vertical Structure of Tropical Cirrus by Combining CloudSat Radar Reflectivity With In Situ Microphysical Measurements Using Bayesian Monte Carlo Integration Y. Liu & G. Mace 10.1029/2019JD031882
- 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
- Sensitivity of 89–190-GHz Microwave Observations to Ice Particle Scattering R. Chen & R. Bennartz 10.1175/JAMC-D-19-0293.1
- All-sky information content analysis for novel passive microwave instruments in the range from 23.8 to 874.4 GHz V. Grützun et al. 10.5194/amt-11-4217-2018
- Multi-Channel Regression Inversion Method for Passive Remote Sensing of Ice Water Path in the Terahertz Band C. Weng et al. 10.3390/atmos10080437
- Aerosol Parameters Retrieval From TROPOMI/S5P Using Physics-Based Neural Networks L. Rao et al. 10.1109/JSTARS.2022.3196843
- Instrument Design and In-Flight Performance of an Airborne Terahertz Ice Cloud Imager R. Lv et al. 10.3390/rs16142602
- Evaluation of synthetic satellite images computed from radiative transfer models over a region of South America using WRF and GOES‐13/16 observations F. Cutraro et al. 10.1002/qj.4111
- Assessing Synergistic Radar and Radiometer Retrievals of Ice Cloud Microphysics for the Atmosphere Observing System (AOS) Architecture Y. Liu et al. 10.1109/TGRS.2022.3165578
- A Novel Ice Cloud Retrieval Algorithm for Submillimeter Wave Radiometers: Simulations and Application to an Airborne Experiment P. Dong et al. 10.1109/TGRS.2023.3274633
- An Evaluation of Radiative Transfer Simulations of Cloudy Scenes from a Numerical Weather Prediction Model at Sub-Millimetre Frequencies Using Airborne Observations S. Fox 10.3390/rs12172758
- 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. 10.5194/amt-15-6489-2022
- A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems S. Pfreundschuh et al. 10.5194/amt-11-4627-2018
- Airborne validation of radiative transfer modelling of ice clouds at millimetre and sub-millimetre wavelengths S. Fox et al. 10.5194/amt-12-1599-2019
- On the accuracy of RTTOV-SCATT for radiative transfer at all-sky microwave and submillimeter frequencies V. Barlakas et al. 10.1016/j.jqsrt.2022.108137
- Towards an operational Ice Cloud Imager (ICI) retrieval product P. Eriksson et al. 10.5194/amt-13-53-2020
- Analysis of the internal electric fields of pristine ice crystals and aggregate snowflakes, and their effect on scattering K. McCusker et al. 10.1016/j.jqsrt.2019.04.019
- A mixing scheme of ice particle models for global ice cloud measurements B. Wu et al. 10.1016/j.rse.2024.114356
- Using passive and active observations at microwave and sub-millimetre wavelengths to constrain ice particle models R. Ekelund et al. 10.5194/amt-13-501-2020
- An Overview of Neural Network Methods for Predicting Uncertainty in Atmospheric Remote Sensing A. Doicu et al. 10.3390/rs13245061
- The Ice Cloud Imager: retrieval of frozen water column properties E. May et al. 10.5194/amt-17-5957-2024
- A general database of hydrometeor single scattering properties at microwave and sub-millimetre wavelengths P. Eriksson et al. 10.5194/essd-10-1301-2018
- Cloud Phase Classification Based on the Submillimeter and Microwave Radiometer Synergistic Observations P. Dong et al. 10.1109/LGRS.2024.3450872
- Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter‐Wave Radiometer Y. Liu et al. 10.1002/2017JD027892
- Assessing synergistic radar and radiometer capability in retrieving ice cloud microphysics based on hybrid Bayesian algorithms Y. Liu & G. Mace 10.5194/amt-15-927-2022
- Synergistic radar and radiometer retrievals of ice hydrometeors S. Pfreundschuh et al. 10.5194/amt-13-4219-2020
- Retrieval of terahertz ice cloud properties from airborne measurements based on the irregularly shaped Voronoi ice scattering models M. Li et al. 10.5194/amt-16-331-2023
- Passive Remote Sensing of Ice Cloud Properties at Terahertz Wavelengths Based on Genetic Algorithm L. Liu et al. 10.3390/rs13040735
- Water Recognition on the Moon by Using THz Heterodyne-Spectrometer for Identifying the Appropriate Locations to Extract Water for Providing Oxygen for Breathing and Fuel for Spaceships’ Propulsion on the Moon with CubeSat V. Rastinasab et al. 10.3390/aerospace8070186
- Ice water path retrievals from Meteosat-9 using quantile regression neural networks A. Amell et al. 10.5194/amt-15-5701-2022
34 citations as recorded by crossref.
- Low noise 874 GHz receivers for the International Submillimetre Airborne Radiometer (ISMAR) A. Hammar et al. 10.1063/1.5017583
- Three Dimensional Radiative Effects in Passive Millimeter/Sub-Millimeter All-sky Observations V. Barlakas & P. Eriksson 10.3390/rs12030531
- A channel selection method for hyperspectral atmospheric infrared sounders based on layering S. Chang et al. 10.5194/amt-13-629-2020
- An update on global atmospheric ice estimates from satellite observations and reanalyses D. Duncan & P. Eriksson 10.5194/acp-18-11205-2018
- Synthesizing the Vertical Structure of Tropical Cirrus by Combining CloudSat Radar Reflectivity With In Situ Microphysical Measurements Using Bayesian Monte Carlo Integration Y. Liu & G. Mace 10.1029/2019JD031882
- 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
- Sensitivity of 89–190-GHz Microwave Observations to Ice Particle Scattering R. Chen & R. Bennartz 10.1175/JAMC-D-19-0293.1
- All-sky information content analysis for novel passive microwave instruments in the range from 23.8 to 874.4 GHz V. Grützun et al. 10.5194/amt-11-4217-2018
- Multi-Channel Regression Inversion Method for Passive Remote Sensing of Ice Water Path in the Terahertz Band C. Weng et al. 10.3390/atmos10080437
- Aerosol Parameters Retrieval From TROPOMI/S5P Using Physics-Based Neural Networks L. Rao et al. 10.1109/JSTARS.2022.3196843
- Instrument Design and In-Flight Performance of an Airborne Terahertz Ice Cloud Imager R. Lv et al. 10.3390/rs16142602
- Evaluation of synthetic satellite images computed from radiative transfer models over a region of South America using WRF and GOES‐13/16 observations F. Cutraro et al. 10.1002/qj.4111
- Assessing Synergistic Radar and Radiometer Retrievals of Ice Cloud Microphysics for the Atmosphere Observing System (AOS) Architecture Y. Liu et al. 10.1109/TGRS.2022.3165578
- A Novel Ice Cloud Retrieval Algorithm for Submillimeter Wave Radiometers: Simulations and Application to an Airborne Experiment P. Dong et al. 10.1109/TGRS.2023.3274633
- An Evaluation of Radiative Transfer Simulations of Cloudy Scenes from a Numerical Weather Prediction Model at Sub-Millimetre Frequencies Using Airborne Observations S. Fox 10.3390/rs12172758
- 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. 10.5194/amt-15-6489-2022
- A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems S. Pfreundschuh et al. 10.5194/amt-11-4627-2018
- Airborne validation of radiative transfer modelling of ice clouds at millimetre and sub-millimetre wavelengths S. Fox et al. 10.5194/amt-12-1599-2019
- On the accuracy of RTTOV-SCATT for radiative transfer at all-sky microwave and submillimeter frequencies V. Barlakas et al. 10.1016/j.jqsrt.2022.108137
- Towards an operational Ice Cloud Imager (ICI) retrieval product P. Eriksson et al. 10.5194/amt-13-53-2020
- Analysis of the internal electric fields of pristine ice crystals and aggregate snowflakes, and their effect on scattering K. McCusker et al. 10.1016/j.jqsrt.2019.04.019
- A mixing scheme of ice particle models for global ice cloud measurements B. Wu et al. 10.1016/j.rse.2024.114356
- Using passive and active observations at microwave and sub-millimetre wavelengths to constrain ice particle models R. Ekelund et al. 10.5194/amt-13-501-2020
- An Overview of Neural Network Methods for Predicting Uncertainty in Atmospheric Remote Sensing A. Doicu et al. 10.3390/rs13245061
- The Ice Cloud Imager: retrieval of frozen water column properties E. May et al. 10.5194/amt-17-5957-2024
- A general database of hydrometeor single scattering properties at microwave and sub-millimetre wavelengths P. Eriksson et al. 10.5194/essd-10-1301-2018
- Cloud Phase Classification Based on the Submillimeter and Microwave Radiometer Synergistic Observations P. Dong et al. 10.1109/LGRS.2024.3450872
- Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter‐Wave Radiometer Y. Liu et al. 10.1002/2017JD027892
- Assessing synergistic radar and radiometer capability in retrieving ice cloud microphysics based on hybrid Bayesian algorithms Y. Liu & G. Mace 10.5194/amt-15-927-2022
- Synergistic radar and radiometer retrievals of ice hydrometeors S. Pfreundschuh et al. 10.5194/amt-13-4219-2020
- Retrieval of terahertz ice cloud properties from airborne measurements based on the irregularly shaped Voronoi ice scattering models M. Li et al. 10.5194/amt-16-331-2023
- Passive Remote Sensing of Ice Cloud Properties at Terahertz Wavelengths Based on Genetic Algorithm L. Liu et al. 10.3390/rs13040735
- Water Recognition on the Moon by Using THz Heterodyne-Spectrometer for Identifying the Appropriate Locations to Extract Water for Providing Oxygen for Breathing and Fuel for Spaceships’ Propulsion on the Moon with CubeSat V. Rastinasab et al. 10.3390/aerospace8070186
- Ice water path retrievals from Meteosat-9 using quantile regression neural networks A. Amell et al. 10.5194/amt-15-5701-2022
Latest update: 16 Nov 2024
Short summary
A method to estimate the amounts of ice, liquid water, and water vapor from aircraft radiation measurements at wavelengths just over and under 1 mm is presented and its performance is estimated. The method uses an ensemble of artificial neural networks. It strongly benefits from the submillimeter frequencies reducing the error for the estimated amount of ice by a factor of 2 compared to a traditional microwave method. The method was applied to measurement of a precipitating frontal system.
A method to estimate the amounts of ice, liquid water, and water vapor from aircraft radiation...
