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.
Research article
| 
26 Jan 2016
Research article |
| 26 Jan 2016
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
Viewed
Total article views: 3,529 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Sep 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,235 | 1,096 | 198 | 3,529 | 187 | 210 |
- HTML: 2,235
- PDF: 1,096
- XML: 198
- Total: 3,529
- BibTeX: 187
- EndNote: 210
Total article views: 2,891 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Jan 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,935 | 796 | 160 | 2,891 | 154 | 181 |
- HTML: 1,935
- PDF: 796
- XML: 160
- Total: 2,891
- BibTeX: 154
- EndNote: 181
Total article views: 638 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Sep 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 300 | 300 | 38 | 638 | 33 | 29 |
- HTML: 300
- PDF: 300
- XML: 38
- Total: 638
- BibTeX: 33
- EndNote: 29
Cited
14 citations as recorded by crossref.
- Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1007/s11069-018-3562-y
- Anthropogenic heat flux: advisable spatial resolutions when input data are scarce A. Gabey et al. https://doi.org/10.1007/s00704-018-2367-y
- Evaluation and bias correction of probabilistic volcanic ash forecasts A. Crawford et al. https://doi.org/10.5194/acp-22-13967-2022
- Inverse transport modeling of volcanic sulfur dioxide emissions using large-scale simulations Y. Heng et al. https://doi.org/10.5194/gmd-9-1627-2016
- Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers D. Piontek et al. https://doi.org/10.3390/rs15051247
- Use of radar rainfall to model deposition of radionuclides S. Leadbetter https://doi.org/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. https://doi.org/10.5194/acp-21-10851-2021
- Characterizing the Atmospheric Conditions Leading to Large Error Growth in Volcanic Ash Cloud Forecasts H. Dacre & N. Harvey https://doi.org/10.1175/JAMC-D-17-0298.1
- Evaluating the assimilation of S5P/TROPOMI near real-time SO2 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. https://doi.org/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 https://doi.org/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. https://doi.org/10.5194/nhess-21-2973-2021
14 citations as recorded by crossref.
- Refining an ensemble of volcanic ash forecasts using satellite retrievals: Raikoke 2019 A. Capponi et al. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1007/s11069-018-3562-y
- Anthropogenic heat flux: advisable spatial resolutions when input data are scarce A. Gabey et al. https://doi.org/10.1007/s00704-018-2367-y
- Evaluation and bias correction of probabilistic volcanic ash forecasts A. Crawford et al. https://doi.org/10.5194/acp-22-13967-2022
- Inverse transport modeling of volcanic sulfur dioxide emissions using large-scale simulations Y. Heng et al. https://doi.org/10.5194/gmd-9-1627-2016
- Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers D. Piontek et al. https://doi.org/10.3390/rs15051247
- Use of radar rainfall to model deposition of radionuclides S. Leadbetter https://doi.org/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. https://doi.org/10.5194/acp-21-10851-2021
- Characterizing the Atmospheric Conditions Leading to Large Error Growth in Volcanic Ash Cloud Forecasts H. Dacre & N. Harvey https://doi.org/10.1175/JAMC-D-17-0298.1
- Evaluating the assimilation of S5P/TROPOMI near real-time SO2 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. https://doi.org/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 https://doi.org/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. https://doi.org/10.5194/nhess-21-2973-2021
Saved (final revised paper)
Latest update: 12 Aug 2026
Altmetrics
Final-revised paper
Preprint