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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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 |
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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 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 |
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 info:eu-repo/semantics/openAccess |
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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1766405376916324352 |