Developing Resilience to Icelandic Volcanic Eruptions
Lead Research Organisation:
UNIVERSITY OF EXETER
Department Name: Mathematical Sciences
Abstract
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Organisations
People |
ORCID iD |
James Haywood (Primary Supervisor) | |
Martin Osborne (Student) |
Publications

Osborne M
(2018)
Dust mass concentrations from the UK volcanic ash lidar network compared with in-situ aircraft measurements
in EPJ Web of Conferences
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
NE/M009416/1 | 30/09/2015 | 30/10/2021 | |||
1636742 | Studentship | NE/M009416/1 | 30/09/2015 | 30/10/2021 | Martin Osborne |
Description | The DRIVE project has created processing code that will be used operationally to provide mass concentration estimates and aerosol identification to the London Volcanic Ash Advisory Centre (VAAC) during a future volcanic event. Additionally, the hardware in the Met Office volcanic ash LIDAR network has been found to have some systematic issues with calibration. An additional, low cost, calibration device has been designed, built and tested. The results have been used to correct much the calibration issues, leading to more accurate mass concentration estimates. |
First Year Of Impact | 2019 |
Sector | Transport,Other |
Impact Types | Societal Economic Policy & public services |
Title | DRIVE web app |
Description | The web app makes use of the Python Bokeh Server library to allow scientists and meteorologists to interrogate data from the Met Office operational, volcanic ash lidar network. The web app allows the real time retrieval of aerosol mass estimates and aerosol typing. |
Type Of Technology | Webtool/Application |
Year Produced | 2018 |
Impact | Volcanic Ash Advisory Centre meteorologists will be able to get real time mass concentration estimates from the lidar network during a volcanic event, a vital parameter for aviation safety |