000907863 001__ 907863
000907863 005__ 20230815122845.0
000907863 0247_ $$2doi$$a10.5194/acp-22-6787-2022
000907863 0247_ $$2ISSN$$a1680-7316
000907863 0247_ $$2ISSN$$a1680-7324
000907863 0247_ $$2Handle$$a2128/31232
000907863 0247_ $$2altmetric$$aaltmetric:128842181
000907863 0247_ $$2WOS$$aWOS:000799874000001
000907863 037__ $$aFZJ-2022-02254
000907863 041__ $$aEnglish
000907863 082__ $$a550
000907863 1001_ $$0P:(DE-Juel1)180878$$aCai, Zhongyin$$b0$$eCorresponding author
000907863 245__ $$aImproved estimation of volcanic SO2 injections from satellite retrievals and Lagrangian transport simulations: the 2019 Raikoke eruption
000907863 260__ $$aKatlenburg-Lindau$$bEGU$$c2022
000907863 3367_ $$2DRIVER$$aarticle
000907863 3367_ $$2DataCite$$aOutput Types/Journal article
000907863 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1654057626_10956
000907863 3367_ $$2BibTeX$$aARTICLE
000907863 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000907863 3367_ $$00$$2EndNote$$aJournal Article
000907863 520__ $$aMonitoring and modeling of volcanic plumes are important for understanding the impact of volcanic activity on climate and for practical concerns, such as aviation safety or public health. Here, we apply the Lagrangian transport model Massive-Parallel Trajectory Calculations (MPTRAC) to estimate the SO2 injections into the upper troposphere and lower stratosphere by the eruption of the Raikoke volcano (48.29∘ N, 153.25∘ E) in June 2019 and its subsequent long-range transport and dispersion. First, we used SO2 retrievals from the AIRS (Atmospheric Infrared Sounder) and TROPOMI (TROPOspheric Monitoring Instrument) satellite instruments together with a backward trajectory approach to estimate the altitude-resolved SO2 injection time series. Second, we applied a scaling factor to the initial estimate of the SO2 mass and added an exponential decay to simulate the time evolution of the total SO2 mass. By comparing the estimated SO2 mass and the mass from TROPOMI retrievals, we show that the volcano injected 2.1 ± 0.2 Tg SO2, and the e-folding lifetime of the SO2 was about 13 to 17 d. The reconstructed SO2 injection time series are consistent between using the AIRS nighttime and the TROPOMI daytime products. Further, we compared forward transport simulations that were initialized by AIRS and TROPOMI SO2 products with a constant SO2 injection rate. The results show that the modeled SO2 change, driven by chemical reactions, captures the SO2 mass variations from TROPOMI retrievals. In addition, the forward simulations reproduce the SO2 distributions in the first ∼10 d after the eruption. However, diffusion in the forward simulations is too strong to capture the internal structure of the SO2 clouds, which is further quantified in the simulation of the compact SO2 cloud from late July to early August. Our study demonstrates the potential of using combined nadir satellite retrievals and Lagrangian transport simulations to further improve SO2 time- and height-resolved injection estimates of volcanic eruptions.
000907863 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
000907863 536__ $$0G:(GEPRIS)410579391$$aDFG project 410579391 - Transportwege für Aerosol und Spurengase im Asiatischen Monsun in der oberen Troposphäre und unteren Stratosphäre $$c410579391$$x1
000907863 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000907863 7001_ $$0P:(DE-Juel1)129121$$aGriessbach, Sabine$$b1
000907863 7001_ $$0P:(DE-Juel1)129125$$aHoffmann, Lars$$b2
000907863 773__ $$0PERI:(DE-600)2069847-1$$a10.5194/acp-22-6787-2022$$gVol. 22, no. 10, p. 6787 - 6809$$n10$$p6787 - 6809$$tAtmospheric chemistry and physics$$v22$$x1680-7316$$y2022
000907863 8564_ $$uhttps://juser.fz-juelich.de/record/907863/files/acp-22-6787-2022.pdf$$yOpenAccess
000907863 8767_ $$8102160$$d2022-09-21$$eAPC$$jZahlung erfolgt$$zOABLE
000907863 909CO $$ooai:juser.fz-juelich.de:907863$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire
000907863 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180878$$aForschungszentrum Jülich$$b0$$kFZJ
000907863 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129121$$aForschungszentrum Jülich$$b1$$kFZJ
000907863 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129125$$aForschungszentrum Jülich$$b2$$kFZJ
000907863 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$$x0
000907863 9141_ $$y2022
000907863 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-02-02
000907863 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000907863 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-02-02
000907863 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2021-02-02
000907863 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000907863 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2021-02-02
000907863 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-19
000907863 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-19
000907863 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2019-12-18T05:37:09Z
000907863 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2019-12-18T05:37:09Z
000907863 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Peer review$$d2019-12-18T05:37:09Z
000907863 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-19
000907863 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-19
000907863 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2022-11-19
000907863 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
000907863 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
000907863 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
000907863 915pc $$0PC:(DE-HGF)0003$$2APC$$aDOAJ Journal
000907863 920__ $$lyes
000907863 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000907863 9801_ $$aFullTexts
000907863 980__ $$ajournal
000907863 980__ $$aVDB
000907863 980__ $$aUNRESTRICTED
000907863 980__ $$aI:(DE-Juel1)JSC-20090406
000907863 980__ $$aAPC