EGU21-14552
https://doi.org/10.5194/egusphere-egu21-14552
EGU General Assembly 2021
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

EO4D_ash – Earth observation data for detection, discrimination & distribution (4D) of volcanic ash

Nikolaos Papagiannopoulos1, Lucia Mona1, Claudio Dema1, Vassilis Amiridis2, Anna Gialitaki2, Anna Kampouri2, Andreas Uppstu3, Simona Scollo4, Luca Merucci5, Marie Boichu6, Philippe Goloub6, Sara Barsotti7, and Michelle Parks7
Nikolaos Papagiannopoulos et al.
  • 1Consiglio Nazionale delle Ricerche - Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Potenza, Italy (nikolaos.papagiannopoulos@imaa.cnr.it)
  • 2IAASARS, National Observatory of Athens, Athens, Greece
  • 3Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
  • 4Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, Catania, Italy
  • 5Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy
  • 6CNRS, Univ. Lille, UMR 8518 – LOA – Laboratoire d’Optique Atmosphérique, Lille, France
  • 7Icelandic Met Office, Reykjavik, Iceland

Volcanic eruptions are a natural disaster with significant impact on human activities. The unprecedented European Volcanic Ash Crisis in 2010 demonstrated the vulnerability of the infrastructure and the need for new approaches to enable stakeholders in the aviation sector to obtain fast and accurate information. Currently, there are many data sources available and cutting-edge technology to provide the means to detect and monitor high impact eruptions. However, the information from multiple data sources is not yet efficiently integrated and aviation-specific products incorporating multi-platform datasets is not in place. To this end, the integration of tailored ground-based, satellite, and model data as well as information from volcanic observatories in Europe is essential. The Pilot EO4D_ash – Earth observation data for detection, discrimination & distribution (4D) of volcanic ash – of the e-shape project aims to strengthen the Earth Observation and in-situ data exploitation and multi-source (satellite, remotely sensed, and ground-based network) data integration  to derive innovation for ash discrimination and monitoring; to enhance the capability of 4D forecasting volcanic ash dispersal and to foster innovation in the decision making processes and mitigate ash related impact and hazard resilience. The overall pilot structure, tailored products, aerosol lidar profile assimilation and study cases will be presented at the conference.

Acknowledgements: This work has been conducted within the framework of the H2020 e-shape (Grant Agreement n. 820852) project.

How to cite: Papagiannopoulos, N., Mona, L., Dema, C., Amiridis, V., Gialitaki, A., Kampouri, A., Uppstu, A., Scollo, S., Merucci, L., Boichu, M., Goloub, P., Barsotti, S., and Parks, M.: EO4D_ash – Earth observation data for detection, discrimination & distribution (4D) of volcanic ash, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-14552, https://doi.org/10.5194/egusphere-egu21-14552, 2021.

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