Ash dispersion modelling from successive paroxysms of Etna using WRF-Chem and near-source VOLDORAD radar measurements - Dataset
Description
This dataset contains 4 animated gif files showing WRF-chem atmospheric dispersion modelling of sub-10 micron volcanic ash particles (PM10) emitted by Etna during sequences of explosive paroxysms (from Rizza et al., Remote Sensing 2023). The atmospheric dispersal of sub-10 μm (PM10) ash is modelled using the WRF-Chem model coupled online with meteorology and aerosols and offline with Mass Eruption Rates (MER) and plume heights infered from near-source measurements by the OPGC Doppler radar VOLDORAD-2B (Donnadieu et al., 2015, 2016).
How to cite:
Rizza, U., & Donnadieu, F. (2023). Ash dispersion modelling from successive paroxysms of Etna using WRF-Chem and near-source VOLDORAD radar measurements [Data set]. CNR-ISAC, OPGC-LMV. https://doi.org/10.25519/GG1K-2H34
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Latest update
December 20, 2024
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Metadata quality
Files documentation missing
Update frequency not set
Temporal coverage not set
Spatial coverage not set
Some files are unavailable
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ID
675a2912962fa6fc3eb02f49
Temporality
Creation
October 25, 2013
Latest update
December 20, 2024
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dcat
{'license': ['http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations', 'Creative Commons BY Attribution 4.0 https://creativecommons.org/licenses/by/4.0/\n\nFunding References: European programs EPOS, EUROVOLC (#731070) and MED-SUV (#308665, F.D.); Service National d’Observation en Volcanologie of the French CNRS-INSU;\n\ndata.gouv.fr']}
Harvest
modified_at
None
archived_at
None
archived
None
backend
DCAT
created_at
2013-10-25 00:00:00
source_id
66f3d1036810f9de13ae8e5d
remote_id
b5d87937-d151-4014-98b9-85a065555bf9
domain
catalog.opgc.uca.fr
last_update
2024-12-27 00:09:36.214000
remote_url
https://catalog.opgc.uca.fr/geonetwork2/srv/fre/catalog.search#/metadata/b5d87937-d151-4014-98b9-85a065555bf9
uri
https://catalog.opgc.uca.fr/geonetwork2/srv/fre/catalog.search#/metadata/b5d87937-d151-4014-98b9-85a065555bf9
dct_identifier
b5d87937-d151-4014-98b9-85a065555bf9
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