Articles | Volume 16, issue 2
https://doi.org/10.5194/acp-16-861-2016
© 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/acp-16-861-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Spatial evaluation of volcanic ash forecasts using satellite observations
Department of Meteorology, University of Reading, Earley Gate, P.O. Box 243, Reading, RG6 6BB, UK
H. F. Dacre
Department of Meteorology, University of Reading, Earley Gate, P.O. Box 243, Reading, RG6 6BB, UK
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Cited
17 citations as recorded by crossref.
- Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. 10.5194/acp-22-6115-2022
- Sensitivity of Volcanic Ash Dispersion Modelling to Input Grain Size Distribution Based on Hydromagmatic and Magmatic Deposits S. Osman et al. 10.3390/atmos11060567
- Modelling the volcanic ash plume from Eyjafjallajökull eruption (May 2010) over Europe: evaluation of the benefit of source term improvements and of the assimilation of aerosol measurements M. Plu et al. 10.5194/nhess-21-3731-2021
- Assessment of the volcanic hazard of Mt. Paektu explosion to international air traffic using South Korean airspace S. Kim et al. 10.1007/s11069-018-3562-y
- Anthropogenic heat flux: advisable spatial resolutions when input data are scarce A. Gabey et al. 10.1007/s00704-018-2367-y
- Evaluation and bias correction of probabilistic volcanic ash forecasts A. Crawford et al. 10.5194/acp-22-13967-2022
- Inverse transport modeling of volcanic sulfur dioxide emissions using large-scale simulations Y. Heng et al. 10.5194/gmd-9-1627-2016
- Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers D. Piontek et al. 10.3390/rs15051247
- Use of radar rainfall to model deposition of radionuclides S. Leadbetter 10.1016/j.atmosenv.2019.04.056
- The 2019 Raikoke volcanic eruption – Part 1: Dispersion model simulations and satellite retrievals of volcanic sulfur dioxide J. de Leeuw et al. 10.5194/acp-21-10851-2021
- Characterizing the Atmospheric Conditions Leading to Large Error Growth in Volcanic Ash Cloud Forecasts H. Dacre & N. Harvey 10.1175/JAMC-D-17-0298.1
- Evaluating the assimilation of S5P/TROPOMI near real-time SO<sub>2</sub> columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption A. Inness et al. 10.5194/gmd-15-971-2022
- The Use of Gaussian Mixture Models with Atmospheric Lagrangian Particle Dispersion Models for Density Estimation and Feature Identification A. Crawford 10.3390/atmos11121369
- An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions M. Plu et al. 10.5194/nhess-21-2973-2021
- Initializing HYSPLIT with satellite observations of volcanic ash: A case study of the 2008 Kasatochi eruption A. Crawford et al. 10.1002/2016JD024779
- How accurate are volcanic ash simulations of the 2010 Eyjafjallajökull eruption? H. Dacre et al. 10.1002/2015JD024265
- Lagrangian transport simulations of volcanic sulfur dioxide emissions: Impact of meteorological data products L. Hoffmann et al. 10.1002/2015JD023749
14 citations as recorded by crossref.
- Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. 10.5194/acp-22-6115-2022
- Sensitivity of Volcanic Ash Dispersion Modelling to Input Grain Size Distribution Based on Hydromagmatic and Magmatic Deposits S. Osman et al. 10.3390/atmos11060567
- Modelling the volcanic ash plume from Eyjafjallajökull eruption (May 2010) over Europe: evaluation of the benefit of source term improvements and of the assimilation of aerosol measurements M. Plu et al. 10.5194/nhess-21-3731-2021
- Assessment of the volcanic hazard of Mt. Paektu explosion to international air traffic using South Korean airspace S. Kim et al. 10.1007/s11069-018-3562-y
- Anthropogenic heat flux: advisable spatial resolutions when input data are scarce A. Gabey et al. 10.1007/s00704-018-2367-y
- Evaluation and bias correction of probabilistic volcanic ash forecasts A. Crawford et al. 10.5194/acp-22-13967-2022
- Inverse transport modeling of volcanic sulfur dioxide emissions using large-scale simulations Y. Heng et al. 10.5194/gmd-9-1627-2016
- Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers D. Piontek et al. 10.3390/rs15051247
- Use of radar rainfall to model deposition of radionuclides S. Leadbetter 10.1016/j.atmosenv.2019.04.056
- The 2019 Raikoke volcanic eruption – Part 1: Dispersion model simulations and satellite retrievals of volcanic sulfur dioxide J. de Leeuw et al. 10.5194/acp-21-10851-2021
- Characterizing the Atmospheric Conditions Leading to Large Error Growth in Volcanic Ash Cloud Forecasts H. Dacre & N. Harvey 10.1175/JAMC-D-17-0298.1
- Evaluating the assimilation of S5P/TROPOMI near real-time SO<sub>2</sub> columns and layer height data into the CAMS integrated forecasting system (CY47R1), based on a case study of the 2019 Raikoke eruption A. Inness et al. 10.5194/gmd-15-971-2022
- The Use of Gaussian Mixture Models with Atmospheric Lagrangian Particle Dispersion Models for Density Estimation and Feature Identification A. Crawford 10.3390/atmos11121369
- An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions M. Plu et al. 10.5194/nhess-21-2973-2021
3 citations as recorded by crossref.
- Initializing HYSPLIT with satellite observations of volcanic ash: A case study of the 2008 Kasatochi eruption A. Crawford et al. 10.1002/2016JD024779
- How accurate are volcanic ash simulations of the 2010 Eyjafjallajökull eruption? H. Dacre et al. 10.1002/2015JD024265
- Lagrangian transport simulations of volcanic sulfur dioxide emissions: Impact of meteorological data products L. Hoffmann et al. 10.1002/2015JD023749
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