Articles | Volume 17, issue 4
https://doi.org/10.5194/acp-17-2865-2017
© Author(s) 2017. 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-17-2865-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Feb 2017
Research article |
| 24 Feb 2017
Improving volcanic ash predictions with the HYSPLIT dispersion model by assimilating MODIS satellite retrievals
NOAA Air Resources Laboratory (ARL), NOAA Center for Weather and Climate Prediction, 5830 University Research Court, College Park, MD 20740, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD 20740, USA
Alice Crawford
NOAA Air Resources Laboratory (ARL), NOAA Center for Weather and Climate Prediction, 5830 University Research Court, College Park, MD 20740, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD 20740, USA
Barbara Stunder
NOAA Air Resources Laboratory (ARL), NOAA Center for Weather and Climate Prediction, 5830 University Research Court, College Park, MD 20740, USA
Michael J. Pavolonis
NOAA Center for Satellite Applications and Research, Madison, WI, USA
Roland Draxler
NOAA Air Resources Laboratory (ARL), NOAA Center for Weather and Climate Prediction, 5830 University Research Court, College Park, MD 20740, USA
retired
Ariel Stein
NOAA Air Resources Laboratory (ARL), NOAA Center for Weather and Climate Prediction, 5830 University Research Court, College Park, MD 20740, USA
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- Using Satellite Data to Determine Empirical Relationships between Volcanic Ash Source Parameters M. Zidikheri & C. Lucas 10.3390/atmos11040342
- Quantitative Verification and Calibration of Volcanic Ash Ensemble Forecasts Using Satellite Data M. Zidikheri et al. 10.1002/2017JD027740
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- Spatio-temporal assessment of aerosol and cloud properties using MODIS satellite data and a HYSPLIT model: Implications for climate and agricultural systems M. Haseeb et al. 10.1016/j.aeaoa.2024.100242
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- Estimation of optimal dispersion model source parameters using satellite detections of volcanic ash M. Zidikheri et al. 10.1002/2017JD026676
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- Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modeling using VolcanicAshInversion v1.2.1, within the operational eEMEP (emergency European Monitoring and Evaluation Programme) volcanic plume forecasting system (version rv4_17) A. Brodtkorb et al. 10.5194/gmd-17-1957-2024
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Latest update: 19 Apr 2024
Short summary
An inverse system based on the HYSPLIT dispersion model has been built to estimate volcanic ash source strengths, vertical distribution, and temporal variations. Using MODIS retrievals from the 2008 Kasatochi volcanic ash clouds, three options for matching model results to satellite mass loadings are tested. They all show decent skill. It is also found that simultaneously assimilating observations at different times produces better hindcasts than only assimilating the most recent observations.
An inverse system based on the HYSPLIT dispersion model has been built to estimate volcanic ash...
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