Articles | Volume 14, issue 15
https://doi.org/10.5194/acp-14-7837-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-7837-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Time-lagged ensemble simulations of the dispersion of the Eyjafjallajökull plume over Europe with COSMO-ART
H. Vogel
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Herrmann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
J. Förstner
Deutscher Wetterdienst (DWD), Frankfurter Straße 135, 63067 Offenbach, Germany
B. Vogel
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Herrmann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
T. Hanisch
Deutscher Wetterdienst (DWD), Frankfurter Straße 135, 63067 Offenbach, Germany
B. Mühr
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Herrmann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
U. Schättler
Deutscher Wetterdienst (DWD), Frankfurter Straße 135, 63067 Offenbach, Germany
T. Schad
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Herrmann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
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Cited
15 citations as recorded by crossref.
- The importance of plume rise on the concentrations and atmospheric impacts of biomass burning aerosol C. Walter et al.
- Impact of Cartosat-1 orography on weather prediction in a high-resolution NCMRWF unified model J. Sethunadh et al.
- The operational eEMEP model version 10.4 for volcanic SO2 and ash forecasting B. Steensen et al.
- Changes in domestic heating fuel use in Greece: effects on atmospheric chemistry and radiation E. Athanasopoulou et al.
- Characterizing the Atmospheric Conditions Leading to Large Error Growth in Volcanic Ash Cloud Forecasts H. Dacre & N. Harvey
- Reconstructing tephra fall deposits via ensemble-based data assimilation techniques L. Mingari et al.
- How Does a Pinatubo‐Size Volcanic Cloud Reach the Middle Stratosphere? G. Stenchikov et al.
- ICON–ART 1.0 – a new online-coupled model system from the global to regional scale D. Rieger et al.
- Improving precipitation forecast with hybrid 3DVar and time-lagged ensembles in a heavy rainfall event Y. Wang et al.
- Using synthetic case studies to explore the spread and calibration of ensemble atmospheric dispersion forecasts A. Jones et al.
- Potential Links Between Tropospheric and Stratospheric Circulation Extremes During Early 2020 P. Rupp et al.
- Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation A. Geisinger et al.
- Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case H. Zhang et al.
- Ensemble-Based Forecast of Volcanic Clouds Using FALL3D-8.1 A. Folch et al.
- Optimize Short-Term Rainfall Forecast with Combination of Ensemble Precipitation Nowcasts by Lagrangian Extrapolation W. Na & C. Yoo
15 citations as recorded by crossref.
- The importance of plume rise on the concentrations and atmospheric impacts of biomass burning aerosol C. Walter et al.
- Impact of Cartosat-1 orography on weather prediction in a high-resolution NCMRWF unified model J. Sethunadh et al.
- The operational eEMEP model version 10.4 for volcanic SO2 and ash forecasting B. Steensen et al.
- Changes in domestic heating fuel use in Greece: effects on atmospheric chemistry and radiation E. Athanasopoulou et al.
- Characterizing the Atmospheric Conditions Leading to Large Error Growth in Volcanic Ash Cloud Forecasts H. Dacre & N. Harvey
- Reconstructing tephra fall deposits via ensemble-based data assimilation techniques L. Mingari et al.
- How Does a Pinatubo‐Size Volcanic Cloud Reach the Middle Stratosphere? G. Stenchikov et al.
- ICON–ART 1.0 – a new online-coupled model system from the global to regional scale D. Rieger et al.
- Improving precipitation forecast with hybrid 3DVar and time-lagged ensembles in a heavy rainfall event Y. Wang et al.
- Using synthetic case studies to explore the spread and calibration of ensemble atmospheric dispersion forecasts A. Jones et al.
- Potential Links Between Tropospheric and Stratospheric Circulation Extremes During Early 2020 P. Rupp et al.
- Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation A. Geisinger et al.
- Comparison of Scanning LiDAR with Other Remote Sensing Measurements and Transport Model Predictions for a Saharan Dust Case H. Zhang et al.
- Ensemble-Based Forecast of Volcanic Clouds Using FALL3D-8.1 A. Folch et al.
- Optimize Short-Term Rainfall Forecast with Combination of Ensemble Precipitation Nowcasts by Lagrangian Extrapolation W. Na & C. Yoo
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