Articles | Volume 11, issue 9
https://doi.org/10.5194/gmd-11-3807-2018
© Author(s) 2018. 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-11-3807-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
25 Sep 2018
Model evaluation paper |
| 25 Sep 2018
| 25 Sep 2018
Evaluation of ECMWF-IFS (version 41R1) operational model forecasts of aerosol transport by using ceilometer network measurements
Ka Lok Chan
CORRESPONDING AUTHOR
Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Matthias Wiegner
Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
Harald Flentje
Department of Research and Development, Meteorological Observatory Hohenpeißenberg, German Weather Service (DWD), Hohenpeißenberg, Germany
Ina Mattis
Department of Research and Development, Meteorological Observatory Hohenpeißenberg, German Weather Service (DWD), Hohenpeißenberg, Germany
Frank Wagner
Department of Research and Development, Meteorological Observatory Hohenpeißenberg, German Weather Service (DWD), Hohenpeißenberg, Germany
now at: Institute for Meteorology and Climate Research, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany
Josef Gasteiger
Aerosol Physics and Environmental Physics, University of Vienna, Vienna, Austria
Alexander Geiß
Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
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- Evaluation of ECMWF IFS-AER (CAMS) operational forecasts during cycle 41r1–46r1 with calibrated ceilometer profiles over Germany H. Flentje et al. 10.5194/gmd-14-1721-2021
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- Satellite Retrieval of Downwelling Shortwave Surface Flux and Diffuse Fraction under All Sky Conditions in the Framework of the LSA SAF Program (Part 1: Methodology) D. Carrer et al. 10.3390/rs11212532
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- Cloud height measurement by a network of all-sky imagers N. Blum et al. 10.5194/amt-14-5199-2021
- Spectral Energy Model-Driven Inversion of XCO2 in IPDA Lidar Remote Sensing H. Zhang et al. 10.1109/TGRS.2023.3238117
- How Can Existing Ground-Based Profiling Instruments Improve European Weather Forecasts? A. Illingworth et al. 10.1175/BAMS-D-17-0231.1
- The δ-six-stream spherical harmonic expansion adding method for solar radiative transfer D. Xue et al. 10.1016/j.jqsrt.2019.106818
- The Use of Gridded Model Output Statistics (GMOS) in Energy Forecasting of a Solar Car C. Oosthuizen et al. 10.3390/en13081984
- Detection of Precipitation and Fog Using Machine Learning on Backscatter Data from Lidar Ceilometer Y. Kim et al. 10.3390/app10186452
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Latest update: 29 Jun 2024
Short summary
The paper presents the comparison of ECMWF-IFS model simulation of aerosol backscatter profiles to long-term measurements of an extended ceilometer network. A significant influence of the numerical description of the hygroscopic growth of sea salt aerosols on the agreement between model and observations was found. Consideration of the nonsphericity of dust particles in the model reduced the attenuated backscatter of dust by ~&thinp;30 % and improved the agreement between model and observations.
The paper presents the comparison of ECMWF-IFS model simulation of aerosol backscatter profiles...
