How to cite this Dataset
Prata, Andrew, Dacre, Helen, Klingaman, Emma and Shine, Keith (2018): Ash dosage and concentration risk dataset. University of Reading. Dataset. https://doi.org/10.17864/1947.148
Description
This dataset was generated at the University of Reading (UK) and was funded by NERC under the Environmental Risks to Infrastructure Innovation Programme. The dataset provides data sufficient to plot Figures 2, 3, 4, 5, 7 and 8 presented in Prata et al. (2018). The dataset includes NAME dispersion model output for a control run of a hypothetical Katla eruption, processed data that represent model agreement and risk maps, waypoints produced using flightCode for an air-route from New York (JFK) to London (LHR) return and processed data that represent ash dosage, concentration, model agreement and risk calculated along an air-route from New York (JFK) to London (LHR) return.
Reference:
Prata A. T., H. F. Dacre, E. A. Irvine, E. Mathieu, K. P. Shine and R. J. Clarkson (2018), Calculating and communicating ensemble-based volcanic ash dosage and concentration risk for aviation, Under Review, Meteorol. Apps.
| Resource Type: | Dataset |
|---|---|
| Creators: | Prata, Andrew  ORCID: https://orcid.org/0000-0001-9115-1143, Dacre, Helen ORCID: https://orcid.org/0000-0003-4328-9126, Klingaman, Emma and Shine, Keith ORCID: https://orcid.org/0000-0003-2672-9978 |
| Rights-holders: | University of Reading |
| Data Publisher: | University of Reading |
| Publication Year: | 2018 |
| Data last accessed: | 21 December 2024 |
| DOI: | https://doi.org/10.17864/1947.148 |
| Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/148 |
| Organisational units: | Science > School of Mathematical, Computational and Physical Sciences > Department of Meteorology |
| Participating Organisations: | University of Reading |
| Keywords: | ash dosage, flight-planning, uncertainty and risk |
| Rights: | |
| Data Availability: | OPEN |
Available Versions of this Item
- Ash dosage and concentration risk dataset. (deposited 23 Apr 2018 08:23) [Currently Displayed]
