001014778 001__ 1014778
001014778 005__ 20240311125733.0
001014778 0247_ $$2doi$$a10.5194/gmd-16-5197-2023
001014778 0247_ $$2ISSN$$a1991-959X
001014778 0247_ $$2ISSN$$a1991-9603
001014778 0247_ $$2WOS$$aWOS:001161767700001
001014778 037__ $$aFZJ-2023-03462
001014778 041__ $$aEnglish
001014778 082__ $$a550
001014778 1001_ $$0P:(DE-Juel1)187051$$aLiu, Mingzhao$$b0$$eCorresponding author
001014778 245__ $$aImproved representation of volcanic sulfur dioxide depletion in Lagrangian transport simulations: a case study with MPTRAC v2.4
001014778 260__ $$aKatlenburg-Lindau$$bCopernicus$$c2023
001014778 3367_ $$2DRIVER$$aarticle
001014778 3367_ $$2DataCite$$aOutput Types/Journal article
001014778 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1694415511_4087
001014778 3367_ $$2BibTeX$$aARTICLE
001014778 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001014778 3367_ $$00$$2EndNote$$aJournal Article
001014778 520__ $$aThe lifetime of sulfur dioxide (SO2) in the Earth's atmosphere varies from orders of hours to weeks, mainly depending on whether cloud water is present or not. The volcanic eruption on Ambae Island, Vanuatu, in July 2018 injected a large amount of SO2 into the upper troposphere and lower stratosphere (UT/LS) region with abundant cloud cover. In-cloud removal is therefore expected to play an important role during long-range transport and dispersion of SO2. In order to better represent the rapid decay processes of SO2 observed by the Atmospheric Infrared Sounder (AIRS) and the TROPOspheric Monitoring Instrument (TROPOMI) in Lagrangian transport simulations, we simulate the SO2 decay in a more realistic manner compared to our earlier work, considering gas-phase hydroxyl (OH) chemistry, aqueous-phase hydrogen peroxide (H2O2) chemistry, wet deposition, and convection. The either newly developed or improved chemical and physical modules are implemented in the Lagrangian transport model Massive-Parallel Trajectory Calculations (MPTRAC) and tested in a case study for the July 2018 Ambae eruption. To access the dependencies of the SO2 lifetime on the complex atmospheric conditions, sensitivity tests are conducted by tuning the control parameters, e.g., by changing the release height, the predefined OH climatology data, the cloud pH value, the cloud cover, and other variables. Wet deposition and aqueous-phase H2O2 oxidation remarkably increased the decay rate of the SO2 total mass, which leads to a rapid and more realistic depletion of the Ambae plume. The improved representation of chemical and physical SO2 loss processes described here is expected to lead to more realistic Lagrangian transport simulations of volcanic eruption events with MPTRAC in future work.
001014778 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001014778 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001014778 7001_ $$0P:(DE-Juel1)129125$$aHoffmann, Lars$$b1
001014778 7001_ $$0P:(DE-Juel1)129121$$aGriessbach, Sabine$$b2
001014778 7001_ $$0P:(DE-HGF)0$$aCai, Zhongyin$$b3
001014778 7001_ $$0P:(DE-HGF)0$$aHeng, Yi$$b4
001014778 7001_ $$0P:(DE-HGF)0$$aWu, Xue$$b5
001014778 773__ $$0PERI:(DE-600)2456725-5$$a10.5194/gmd-16-5197-2023$$gVol. 16, no. 17, p. 5197 - 5217$$n17$$p5197 - 5217$$tGeoscientific model development$$v16$$x1991-959X$$y2023
001014778 8564_ $$uhttps://gmd.copernicus.org/articles/16/5197/2023/
001014778 8564_ $$uhttps://juser.fz-juelich.de/record/1014778/files/Invoice_Helmholtz-PUC-2023-80.pdf
001014778 8564_ $$uhttps://juser.fz-juelich.de/record/1014778/files/gmd-16-5197-2023.pdf$$yRestricted
001014778 8767_ $$8Helmholtz-PUC-2023-80$$92023-09-11$$a1200196434$$d2023-09-12$$eAPC$$jZahlung erfolgt$$v304.00
001014778 909CO $$ooai:juser.fz-juelich.de:1014778$$popenCost$$pOpenAPC$$pVDB
001014778 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)187051$$aForschungszentrum Jülich$$b0$$kFZJ
001014778 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129125$$aForschungszentrum Jülich$$b1$$kFZJ
001014778 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129121$$aForschungszentrum Jülich$$b2$$kFZJ
001014778 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001014778 9141_ $$y2023
001014778 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
001014778 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
001014778 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
001014778 915pc $$0PC:(DE-HGF)0003$$2APC$$aDOAJ Journal
001014778 915__ $$0LIC:(DE-HGF)CCBYNV$$2V:(DE-HGF)$$aCreative Commons Attribution CC BY (No Version)$$bDOAJ$$d2021-01-16T18:00:10Z
001014778 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2022-11-25
001014778 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2022-11-25
001014778 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2022-11-25
001014778 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2022-11-25
001014778 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2022-12-20T09:29:04Z
001014778 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2022-12-20T09:29:04Z
001014778 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Open peer review$$d2022-12-20T09:29:04Z
001014778 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-10-25
001014778 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-10-25
001014778 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-10-25
001014778 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2023-10-25
001014778 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bGEOSCI MODEL DEV : 2022$$d2023-10-25
001014778 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-10-25
001014778 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-10-25
001014778 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-10-25
001014778 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bGEOSCI MODEL DEV : 2022$$d2023-10-25
001014778 920__ $$lyes
001014778 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001014778 980__ $$ajournal
001014778 980__ $$aVDB
001014778 980__ $$aI:(DE-Juel1)JSC-20090406
001014778 980__ $$aUNRESTRICTED
001014778 980__ $$aAPC