Articles | Volume 9, issue 11
https://doi.org/10.5194/gmd-9-3919-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-3919-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
02 Nov 2016
Development and technical paper |
| 02 Nov 2016
A method for retrieving clouds with satellite infrared radiances using the particle filter
Dongmei Xu
CORRESPONDING AUTHOR
Key Laboratory of Meteorological Disaster, Ministry of
Education (KLME)/Joint International Research Laboratory of Climate and
Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and
Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of
Information Science & Technology, Nanjing 210044, China
National Center for Atmospheric Research, Boulder, Colorado
80301, USA
Thomas Auligné
National Center for Atmospheric Research, Boulder, Colorado
80301, USA
Gaël Descombes
National Center for Atmospheric Research, Boulder, Colorado
80301, USA
Chris Snyder
National Center for Atmospheric Research, Boulder, Colorado
80301, USA
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Cited
13 citations as recorded by crossref.
- Effect of background error tuning on assimilating radar radial velocity observations for the forecast of hurricane tracks and intensities D. Xu et al. 10.1002/met.1820
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. 10.3390/rs16142578
- Assimilating FY-4A AGRI Radiances with a Channel-Sensitive Cloud Detection Scheme for the Analysis and Forecasting of Multiple Typhoons F. Shen et al. 10.1007/s00376-023-3072-z
- Impacts of FY-4A AGRI Radiance Data Assimilation on the Forecast of the Super Typhoon “In-Fa” (2021) X. Zhang et al. 10.3390/rs14194718
- Application of radar data assimilation on convective precipitation forecasts based on water vapor retrieval Z. He et al. 10.1007/s00703-020-00766-x
- The Assimilation Effect of Multi-New Types Observation Data in the Forecasts of Meiyu-Front Rainstorm H. Zhao et al. 10.3390/atmos14040693
- Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-Hom D. Xu et al. 10.3390/atmos11090957
- Nonlinear Bias Correction of the FY-4A AGRI Infrared Radiance Data Based on the Random Forest X. Zhang et al. 10.3390/rs15071809
- Assimilating INSAT‐3D Thermal Infrared Window Imager Observation With the Particle Filter: A Case Study for Vardah Cyclone P. Kumar & M. Shukla 10.1029/2018JD028827
- Improving the cloud initialization in WRF-Solar with enhanced short-range forecasting functionality: The MAD-WRF model P. Jiménez et al. 10.1016/j.solener.2022.04.055
- Impact of all‐sky water vapour channel radiance from INSAT‐3D/3DR satellite over South Asia region using WRF model P. Kumar et al. 10.1002/qj.4323
- A comparison between EDA-EnVar and ETKF-EnVar data assimilation techniques using radar observations at convective scales through a case study of Hurricane Ike (2008) F. Shen et al. 10.1007/s00703-017-0544-7
- Effects of Assimilating Clear-Sky FY-3D MWHS2 Radiance on the Numerical Simulation of Tropical Storm Ampil D. Xu et al. 10.3390/rs13152873
13 citations as recorded by crossref.
- Effect of background error tuning on assimilating radar radial velocity observations for the forecast of hurricane tracks and intensities D. Xu et al. 10.1002/met.1820
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. 10.3390/rs16142578
- Assimilating FY-4A AGRI Radiances with a Channel-Sensitive Cloud Detection Scheme for the Analysis and Forecasting of Multiple Typhoons F. Shen et al. 10.1007/s00376-023-3072-z
- Impacts of FY-4A AGRI Radiance Data Assimilation on the Forecast of the Super Typhoon “In-Fa” (2021) X. Zhang et al. 10.3390/rs14194718
- Application of radar data assimilation on convective precipitation forecasts based on water vapor retrieval Z. He et al. 10.1007/s00703-020-00766-x
- The Assimilation Effect of Multi-New Types Observation Data in the Forecasts of Meiyu-Front Rainstorm H. Zhao et al. 10.3390/atmos14040693
- Impacts of Multiple Radiance Data Assimilation on the Simulation of Typhoon Chan-Hom D. Xu et al. 10.3390/atmos11090957
- Nonlinear Bias Correction of the FY-4A AGRI Infrared Radiance Data Based on the Random Forest X. Zhang et al. 10.3390/rs15071809
- Assimilating INSAT‐3D Thermal Infrared Window Imager Observation With the Particle Filter: A Case Study for Vardah Cyclone P. Kumar & M. Shukla 10.1029/2018JD028827
- Improving the cloud initialization in WRF-Solar with enhanced short-range forecasting functionality: The MAD-WRF model P. Jiménez et al. 10.1016/j.solener.2022.04.055
- Impact of all‐sky water vapour channel radiance from INSAT‐3D/3DR satellite over South Asia region using WRF model P. Kumar et al. 10.1002/qj.4323
- A comparison between EDA-EnVar and ETKF-EnVar data assimilation techniques using radar observations at convective scales through a case study of Hurricane Ike (2008) F. Shen et al. 10.1007/s00703-017-0544-7
- Effects of Assimilating Clear-Sky FY-3D MWHS2 Radiance on the Numerical Simulation of Tropical Storm Ampil D. Xu et al. 10.3390/rs13152873
Latest update: 23 Nov 2024
Short summary
This study proposed a new cloud retrieval method based on the particle filter (PF). The PF cloud retrieval method is compared with the Multivariate and Minimum Residual (MMR) method that was previously established and verified. Cloud retrieval experiments involving a variety of cloudy types are conducted with the PF and MMR methods with measurements of Infrared radiances on multi-sensors onboard both GOES and MODIS, respectively.
This study proposed a new cloud retrieval method based on the particle filter (PF). The PF cloud...
