Articles | Volume 10, issue 4
https://doi.org/10.5194/amt-10-1359-2017
© Author(s) 2017. 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-10-1359-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Apr 2017
Research article |
| 10 Apr 2017
Analysis of geostationary satellite-derived cloud parameters associated with environments with high ice water content
KNMI, de Bilt, the Netherlands
Eric Defer
Laboratoire d'Aérology, CNRS/OMP Toulouse, France
Julien Delanoë
Laboratoire Atmosphère, Milieux et Observations Spatiales, UVSQ,
Guyancourt, France
Fabien Dezitter
AIRBUS, Toulouse, France
Amanda Gounou
Météo France, Toulouse, France
Alice Grandin
AIRBUS, Toulouse, France
Anthony Guignard
Laboratoire Atmosphère, Milieux et Observations Spatiales, UVSQ,
Guyancourt, France
Jan Fokke Meirink
KNMI, de Bilt, the Netherlands
Jean-Marc Moisselin
Météo France, Toulouse, France
Frédéric Parol
Laboratoire d'Optique Atmosphérique, Université de Lille,
Sciences et Technologies, Villeneuve d'Ascq, France
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Cited
13 citations as recorded by crossref.
- High concentrations of ice crystals in upper-tropospheric tropical clouds: is there a link to biomass and fossil fuel combustion? G. Raga et al. 10.5194/acp-22-2269-2022
- Detecting Clouds Associated with Jet Engine Ice Crystal Icing J. Haggerty et al. 10.1175/BAMS-D-17-0252.1
- Enhancing consistency of microphysical properties of precipitation across the melting layer in dual-frequency precipitation radar data K. Mroz et al. 10.5194/amt-17-1577-2024
- Analysis and Automated Detection of Ice Crystal Icing Conditions Using Geostationary Satellite Datasets and In Situ Ice Water Content Measurements K. Bedka et al. 10.4271/2019-01-1953
- Demonstration of a Nowcasting Service for High Ice Water Content (HIWC) Conditions R. Potts et al. 10.3390/atmos14050786
- High Ice Water Content Conditions Associated with Wintertime Elevated Convection in the Midwest A. Rugg et al. 10.1175/JAMC-D-21-0189.1
- Cloud icing by mineral dust and impacts to aviation safety S. Nickovic et al. 10.1038/s41598-021-85566-y
- A prototype method for diagnosing high ice water content probability using satellite imager data C. Yost et al. 10.5194/amt-11-1615-2018
- A Long-Term Overshooting Convective Cloud-Top Detection Database over Australia Derived from MTSAT Japanese Advanced Meteorological Imager Observations K. Bedka et al. 10.1175/JAMC-D-17-0056.1
- Remote Sensing Observations of Thunderstorm Features in Latvia Z. Avotniece et al. 10.1515/rtuect-2017-0014
- Evaluation of a high‐resolution numerical weather prediction model's simulated clouds using observations from CloudSat, GOES‐13 and in situ aircraft Z. Qu et al. 10.1002/qj.3318
- Development of a Method to Detect High Ice Water Content Environments Using Machine Learning J. Haggerty et al. 10.1175/JTECH-D-19-0179.1
- Evaluation of the AROME model's ability to represent ice crystal icing using in situ observations from the HAIC 2015 field campaign J. Wurtz et al. 10.1002/qj.4100
13 citations as recorded by crossref.
- High concentrations of ice crystals in upper-tropospheric tropical clouds: is there a link to biomass and fossil fuel combustion? G. Raga et al. 10.5194/acp-22-2269-2022
- Detecting Clouds Associated with Jet Engine Ice Crystal Icing J. Haggerty et al. 10.1175/BAMS-D-17-0252.1
- Enhancing consistency of microphysical properties of precipitation across the melting layer in dual-frequency precipitation radar data K. Mroz et al. 10.5194/amt-17-1577-2024
- Analysis and Automated Detection of Ice Crystal Icing Conditions Using Geostationary Satellite Datasets and In Situ Ice Water Content Measurements K. Bedka et al. 10.4271/2019-01-1953
- Demonstration of a Nowcasting Service for High Ice Water Content (HIWC) Conditions R. Potts et al. 10.3390/atmos14050786
- High Ice Water Content Conditions Associated with Wintertime Elevated Convection in the Midwest A. Rugg et al. 10.1175/JAMC-D-21-0189.1
- Cloud icing by mineral dust and impacts to aviation safety S. Nickovic et al. 10.1038/s41598-021-85566-y
- A prototype method for diagnosing high ice water content probability using satellite imager data C. Yost et al. 10.5194/amt-11-1615-2018
- A Long-Term Overshooting Convective Cloud-Top Detection Database over Australia Derived from MTSAT Japanese Advanced Meteorological Imager Observations K. Bedka et al. 10.1175/JAMC-D-17-0056.1
- Remote Sensing Observations of Thunderstorm Features in Latvia Z. Avotniece et al. 10.1515/rtuect-2017-0014
- Evaluation of a high‐resolution numerical weather prediction model's simulated clouds using observations from CloudSat, GOES‐13 and in situ aircraft Z. Qu et al. 10.1002/qj.3318
- Development of a Method to Detect High Ice Water Content Environments Using Machine Learning J. Haggerty et al. 10.1175/JTECH-D-19-0179.1
- Evaluation of the AROME model's ability to represent ice crystal icing using in situ observations from the HAIC 2015 field campaign J. Wurtz et al. 10.1002/qj.4100
Latest update: 16 Nov 2024
Short summary
In-flight icing is an important aviation hazard which is still poorly understood, but consensus is that the presence of high ice water content is a necessary condition. For the European High Altitude Ice Crystals project a geostationary satellite remote-sensing mask has been developed for detection of atmospheric cloud environments where high ice water content is likely to occur. The mask performs satisfactory when compared against independent satellite ice water content measurements.
In-flight icing is an important aviation hazard which is still poorly understood, but consensus...
