The identification and tracking of volcanic ash using the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI)

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: The identification and tracking of volcanic ash using the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI) ; volume:7 ; number:2 ; year:2014 ; pages:581-597
Atmospheric measurement techniques ; 7, Heft 2 (2014), 581-597

Creator: Naeger, A. R.
Christopher, S. A.

DOI: 10.5194/amt-7-581-2014

URN: urn:nbn:de:101:1-2017102512806

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:20 AM CEST

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Naeger, A. R.
Christopher, S. A.

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The identification and tracking of volcanic ash using the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI)

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Other Objects (12)

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Forecasting volcanic ash deposition using HYSPLIT

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Volcanic Ash Retrieval Using a New Geostationary Satellite

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Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modeling using VolcanicAshInversion v1.2.1, within the operational eEMEP (emergency European Monitoring and Evaluation Programme) volcanic plume forecasting system (version rv4_17)

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Modulation of Ash Iron Solubility in Volcanic Eruption Plumes

Phases in fine volcanic ash

Combining radiative transfer calculations and a neural network for the remote sensing of volcanic ash using MSG/SEVIRI

Forecasting volcanic ash deposition using HYSPLIT

Volcanic ash infrared signature: porous non-spherical ash particle shapes compared to homogeneous spherical ash particles

Ice nucleation properties of volcanic ash from Eyjafjallajökull

Volcanic Ash Retrieval Using a New Geostationary Satellite

SPATIAL ANALYSIS OF VOLCANIC ASH DISTRIBUTION DUE TO VOLCANIC ERUPTION IN JAVA ISLAND

Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modeling using VolcanicAshInversion v1.2.1, within the operational eEMEP (emergency European Monitoring and Evaluation Programme) volcanic plume forecasting system (version rv4_17)

VolcAshDB: a Volcanic Ash DataBase of classified particle images and features

Volcanic ash modeling with the NMMB-MONARCH-ASH model: quantification of offline modeling errors

Nanoscale silicate melt textures determine volcanic ash surface chemistry

Modulation of Ash Iron Solubility in Volcanic Eruption Plumes

Phases in fine volcanic ash

Combining radiative transfer calculations and a neural network for the remote sensing of volcanic ash using MSG/SEVIRI

Forecasting volcanic ash deposition using HYSPLIT

Volcanic ash infrared signature: porous non-spherical ash particle shapes compared to homogeneous spherical ash particles

Ice nucleation properties of volcanic ash from Eyjafjallajökull

Volcanic Ash Retrieval Using a New Geostationary Satellite

SPATIAL ANALYSIS OF VOLCANIC ASH DISTRIBUTION DUE TO VOLCANIC ERUPTION IN JAVA ISLAND

Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modeling using VolcanicAshInversion v1.2.1, within the operational eEMEP (emergency European Monitoring and Evaluation Programme) volcanic plume forecasting system (version rv4_17)

VolcAshDB: a Volcanic Ash DataBase of classified particle images and features

Volcanic ash modeling with the NMMB-MONARCH-ASH model: quantification of offline modeling errors

Nanoscale silicate melt textures determine volcanic ash surface chemistry

Modulation of Ash Iron Solubility in Volcanic Eruption Plumes

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