Eyjafjallajökull satellite observations

Satellite observations based on "Hourly non-gridded volcanic ash properties retrieved from SEVIRI measurements for the Eyjafjallajökull 2010 eruption" (Kylling and Sollum 2020, CC BY-SA 4.0, 10.5281/zenodo.3830363). The data has been regridded using fimex 1.4.2 to match the simulation doma...

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Main Author: Brodtkorb, André Rigland
Format: Dataset
Language:unknown
Published: Zenodo 2020
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.3855525
https://zenodo.org/record/3855525
id ftdatacite:10.5281/zenodo.3855525
record_format openpolar
spelling ftdatacite:10.5281/zenodo.3855525 2023-05-15T16:09:19+02:00 Eyjafjallajökull satellite observations Brodtkorb, André Rigland 2020 https://dx.doi.org/10.5281/zenodo.3855525 https://zenodo.org/record/3855525 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3855526 Open Access Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 info:eu-repo/semantics/openAccess CC-BY-SA Volcanic ash, remote sensing, SEVIRI, Eyjafjallajökull 2010 dataset Dataset 2020 ftdatacite https://doi.org/10.5281/zenodo.3855525 https://doi.org/10.5281/zenodo.3855526 2021-11-05T12:55:41Z Satellite observations based on "Hourly non-gridded volcanic ash properties retrieved from SEVIRI measurements for the Eyjafjallajökull 2010 eruption" (Kylling and Sollum 2020, CC BY-SA 4.0, 10.5281/zenodo.3830363). The data has been regridded using fimex 1.4.2 to match the simulation domain MACC14 and thus be colocated with "Three-hourly gridded volcanic ash emissions for the Eyjafjallajökull 2010 eruption" (Brodtkorb et al., 2020, 10.5281/zenodo.3818196). These two datasets are used as input for the volcanic ash inversion routines in "metno/VolcanicAshInversion" (Brodtkorb, 2020, 10.5281/zenodo.3818001) Dataset Eyjafjallajökull DataCite Metadata Store (German National Library of Science and Technology) Kylling ENVELOPE(13.505,13.505,68.094,68.094)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Volcanic ash, remote sensing, SEVIRI, Eyjafjallajökull 2010
spellingShingle Volcanic ash, remote sensing, SEVIRI, Eyjafjallajökull 2010
Brodtkorb, André Rigland
Eyjafjallajökull satellite observations
topic_facet Volcanic ash, remote sensing, SEVIRI, Eyjafjallajökull 2010
description Satellite observations based on "Hourly non-gridded volcanic ash properties retrieved from SEVIRI measurements for the Eyjafjallajökull 2010 eruption" (Kylling and Sollum 2020, CC BY-SA 4.0, 10.5281/zenodo.3830363). The data has been regridded using fimex 1.4.2 to match the simulation domain MACC14 and thus be colocated with "Three-hourly gridded volcanic ash emissions for the Eyjafjallajökull 2010 eruption" (Brodtkorb et al., 2020, 10.5281/zenodo.3818196). These two datasets are used as input for the volcanic ash inversion routines in "metno/VolcanicAshInversion" (Brodtkorb, 2020, 10.5281/zenodo.3818001)
format Dataset
author Brodtkorb, André Rigland
author_facet Brodtkorb, André Rigland
author_sort Brodtkorb, André Rigland
title Eyjafjallajökull satellite observations
title_short Eyjafjallajökull satellite observations
title_full Eyjafjallajökull satellite observations
title_fullStr Eyjafjallajökull satellite observations
title_full_unstemmed Eyjafjallajökull satellite observations
title_sort eyjafjallajökull satellite observations
publisher Zenodo
publishDate 2020
url https://dx.doi.org/10.5281/zenodo.3855525
https://zenodo.org/record/3855525
long_lat ENVELOPE(13.505,13.505,68.094,68.094)
geographic Kylling
geographic_facet Kylling
genre Eyjafjallajökull
genre_facet Eyjafjallajökull
op_relation https://dx.doi.org/10.5281/zenodo.3855526
op_rights Open Access
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
cc-by-sa-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY-SA
op_doi https://doi.org/10.5281/zenodo.3855525
https://doi.org/10.5281/zenodo.3855526
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