Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption

Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrie...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Fu, Guangliang, Prata, Fred, Lin, Hai Xiang, Heemink, Arnold, Segers, Arjo, Lu, Sha
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2017
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Online Access:https://doi.org/10.5194/acp-17-1187-2017
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00042748 2023-05-15T16:09:30+02:00 Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption Fu, Guangliang Prata, Fred Lin, Hai Xiang Heemink, Arnold Segers, Arjo Lu, Sha 2017-01 electronic https://doi.org/10.5194/acp-17-1187-2017 https://noa.gwlb.de/receive/cop_mods_00042748 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00042368/acp-17-1187-2017.pdf https://acp.copernicus.org/articles/17/1187/2017/acp-17-1187-2017.pdf eng eng Copernicus Publications Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324 https://doi.org/10.5194/acp-17-1187-2017 https://noa.gwlb.de/receive/cop_mods_00042748 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00042368/acp-17-1187-2017.pdf https://acp.copernicus.org/articles/17/1187/2017/acp-17-1187-2017.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2017 ftnonlinearchiv https://doi.org/10.5194/acp-17-1187-2017 2022-02-08T22:40:55Z Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrieved data are often two-dimensional (2-D) and the ash plume is usually vertically located in a narrow band, directly assimilating the 2-D ash mass loadings in a three-dimensional (3-D) volcanic ash model (with an integral observational operator) can usually introduce large artificial/spurious vertical correlations. In this study, we look at an approach to avoid the artificial vertical correlations by not involving the integral operator. By integrating available data of ash mass loadings and cloud top heights, as well as data-based assumptions on thickness, we propose a satellite observational operator (SOO) that translates satellite-retrieved 2-D volcanic ash mass loadings to 3-D concentrations. The 3-D SOO makes the analysis step of assimilation comparable in the 3-D model space. Ensemble-based DA is used to assimilate the extracted measurements of ash concentrations. The results show that satellite DA with SOO can improve the estimate of volcanic ash state and the forecast. Comparison with both satellite-retrieved data and aircraft in situ measurements shows that the effective duration of the improved volcanic ash forecasts for the distal part of the Eyjafjallajökull volcano is about 6 h. Article in Journal/Newspaper Eyjafjallajökull Niedersächsisches Online-Archiv NOA Atmospheric Chemistry and Physics 17 2 1187 1205
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Fu, Guangliang
Prata, Fred
Lin, Hai Xiang
Heemink, Arnold
Segers, Arjo
Lu, Sha
Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption
topic_facet article
Verlagsveröffentlichung
description Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrieved data are often two-dimensional (2-D) and the ash plume is usually vertically located in a narrow band, directly assimilating the 2-D ash mass loadings in a three-dimensional (3-D) volcanic ash model (with an integral observational operator) can usually introduce large artificial/spurious vertical correlations. In this study, we look at an approach to avoid the artificial vertical correlations by not involving the integral operator. By integrating available data of ash mass loadings and cloud top heights, as well as data-based assumptions on thickness, we propose a satellite observational operator (SOO) that translates satellite-retrieved 2-D volcanic ash mass loadings to 3-D concentrations. The 3-D SOO makes the analysis step of assimilation comparable in the 3-D model space. Ensemble-based DA is used to assimilate the extracted measurements of ash concentrations. The results show that satellite DA with SOO can improve the estimate of volcanic ash state and the forecast. Comparison with both satellite-retrieved data and aircraft in situ measurements shows that the effective duration of the improved volcanic ash forecasts for the distal part of the Eyjafjallajökull volcano is about 6 h.
format Article in Journal/Newspaper
author Fu, Guangliang
Prata, Fred
Lin, Hai Xiang
Heemink, Arnold
Segers, Arjo
Lu, Sha
author_facet Fu, Guangliang
Prata, Fred
Lin, Hai Xiang
Heemink, Arnold
Segers, Arjo
Lu, Sha
author_sort Fu, Guangliang
title Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption
title_short Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption
title_full Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption
title_fullStr Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption
title_full_unstemmed Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajökull volcanic eruption
title_sort data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 eyjafjallajökull volcanic eruption
publisher Copernicus Publications
publishDate 2017
url https://doi.org/10.5194/acp-17-1187-2017
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https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00042368/acp-17-1187-2017.pdf
https://acp.copernicus.org/articles/17/1187/2017/acp-17-1187-2017.pdf
genre Eyjafjallajökull
genre_facet Eyjafjallajökull
op_relation Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324
https://doi.org/10.5194/acp-17-1187-2017
https://noa.gwlb.de/receive/cop_mods_00042748
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00042368/acp-17-1187-2017.pdf
https://acp.copernicus.org/articles/17/1187/2017/acp-17-1187-2017.pdf
op_rights uneingeschränkt
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op_doi https://doi.org/10.5194/acp-17-1187-2017
container_title Atmospheric Chemistry and Physics
container_volume 17
container_issue 2
container_start_page 1187
op_container_end_page 1205
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