This title appears in the Scientific Report :
2016
Please use the identifier:
http://dx.doi.org/10.1002/2015JD023749 in citations.
Please use the identifier: http://hdl.handle.net/2128/16079 in citations.
Lagrangian transport simulations of volcanic sulfur dioxide emissions: impact of meteorological data products
Lagrangian transport simulations of volcanic sulfur dioxide emissions: impact of meteorological data products
Sulfur dioxide (SO2) emissions from strong volcanic eruptions are an important natural cause for climate variations. We applied our new Lagrangian transport model Massive-Parallel Trajectory Calculations (MPTRAC) to perform simulations for three case studies of volcanic eruption events. The case stu...
Saved in:
Personal Name(s): | Hoffmann, L. (Corresponding author) |
---|---|
Rößler, T. / Griessbach, S. / Heng, Yi / Stein, O. | |
Contributing Institute: |
Troposphäre; IEK-8 Jülich Supercomputing Center; JSC |
Published in: | Journal of geophysical research / Atmospheres, 121 (2016) 9, S. 4651–4673 |
Imprint: |
Hoboken, NJ
Wiley
2016
|
DOI: |
10.1002/2015JD023749 |
Document Type: |
Journal Article |
Research Program: |
Computational Science and Mathematical Methods |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/16079 in citations.
LEADER | 06599nam a2200877 a 4500 | ||
---|---|---|---|
001 | 808772 | ||
005 | 20220930130059.0 | ||
980 | 1 | |a FullTexts | |
980 | |a journal | ||
980 | |a VDB | ||
980 | |a UNRESTRICTED | ||
980 | |a I:(DE-Juel1)JSC-20090406 | ||
980 | |a I:(DE-Juel1)IEK-8-20101013 | ||
980 | |a APC | ||
700 | 1 | |0 P:(DE-Juel1)151377 |a Rößler, T. |b 1 | |
700 | 1 | |0 P:(DE-Juel1)129121 |a Griessbach, S. |b 2 | |
700 | 1 | |0 P:(DE-Juel1)165650 |a Heng, Yi |b 3 | |
700 | 1 | |0 P:(DE-Juel1)3709 |a Stein, O. |b 4 | |
037 | |a FZJ-2016-02389 | ||
856 | 4 | |u http://juser.fz-juelich.de/record/808772/files/Hoffmann_et_al-2016-Journal_of_Geophysical_Research__Atmospheres.pdf |y OpenAccess | |
856 | 4 | |u http://juser.fz-juelich.de/record/808772/files/Hoffmann_et_al-2016-Journal_of_Geophysical_Research__Atmospheres.gif?subformat=icon |x icon |y OpenAccess | |
856 | 4 | |u http://juser.fz-juelich.de/record/808772/files/Hoffmann_et_al-2016-Journal_of_Geophysical_Research__Atmospheres.jpg?subformat=icon-1440 |x icon-1440 |y OpenAccess | |
856 | 4 | |u http://juser.fz-juelich.de/record/808772/files/Hoffmann_et_al-2016-Journal_of_Geophysical_Research__Atmospheres.jpg?subformat=icon-180 |x icon-180 |y OpenAccess | |
856 | 4 | |u http://juser.fz-juelich.de/record/808772/files/Hoffmann_et_al-2016-Journal_of_Geophysical_Research__Atmospheres.jpg?subformat=icon-640 |x icon-640 |y OpenAccess | |
856 | 4 | |u http://juser.fz-juelich.de/record/808772/files/Hoffmann_et_al-2016-Journal_of_Geophysical_Research__Atmospheres.pdf?subformat=pdfa |x pdfa |y OpenAccess | |
909 | C | O | |o oai:juser.fz-juelich.de:808772 |p openaire |p open_access |p OpenAPC |p driver |p VDB |p openCost |p dnbdelivery |
520 | |a Sulfur dioxide (SO2) emissions from strong volcanic eruptions are an important natural cause for climate variations. We applied our new Lagrangian transport model Massive-Parallel Trajectory Calculations (MPTRAC) to perform simulations for three case studies of volcanic eruption events. The case studies cover the eruptions of Grímsvötn, Iceland, Puyehue-Cordón Caulle, Chile, and Nabro, Eritrea, in May and June 2011. We used SO2 observations of the Atmospheric Infrared Sounder (AIRS/Aqua) and a backward trajectory approach to initialize the simulations. Besides validation of the new model, the main goal of our study was a comparison of simulations with different meteorological data products. We considered three reanalyses (ERA-Interim, MERRA, and NCAR/NCEP) and the European Centre for Medium-Range Weather Forecasts (ECMWF) operational analysis. Qualitatively, the SO2 distributions from the simulations compare well with the AIRS data, but also with Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) and Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) aerosol observations. Transport deviations and the critical success index (CSI) are analyzed to evaluate the simulations quantitatively. During the first 5 or 10 days after the eruptions we found the best performance for the ECMWF analysis (CSI range of 0.25–0.31), followed by ERA-Interim (0.25–0.29), MERRA (0.23–0.27), and NCAR/NCEP (0.21–0.23). High temporal and spatial resolution of the meteorological data does lead to improved performance of Lagrangian transport simulations of volcanic emissions in the upper troposphere and lower stratosphere. | ||
915 | |0 StatID:(DE-HGF)0150 |2 StatID |a DBCoverage |b Web of Science Core Collection | ||
915 | |0 StatID:(DE-HGF)1150 |2 StatID |a DBCoverage |b Current Contents - Physical, Chemical and Earth Sciences | ||
915 | |0 StatID:(DE-HGF)0200 |2 StatID |a DBCoverage |b SCOPUS | ||
915 | |0 StatID:(DE-HGF)0110 |2 StatID |a WoS |b Science Citation Index | ||
915 | |0 StatID:(DE-HGF)0111 |2 StatID |a WoS |b Science Citation Index Expanded | ||
915 | |0 StatID:(DE-HGF)9900 |2 StatID |a IF < 5 | ||
915 | |0 StatID:(DE-HGF)0510 |2 StatID |a OpenAccess | ||
915 | |0 StatID:(DE-HGF)0100 |2 StatID |a JCR |b J GEOPHYS RES : 2014 | ||
915 | |0 StatID:(DE-HGF)0310 |2 StatID |a DBCoverage |b NCBI Molecular Biology Database | ||
915 | |0 StatID:(DE-HGF)0300 |2 StatID |a DBCoverage |b Medline | ||
915 | |0 StatID:(DE-HGF)0199 |2 StatID |a DBCoverage |b Thomson Reuters Master Journal List | ||
914 | 1 | |y 2016 | |
910 | 1 | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)129125 |a Forschungszentrum Jülich GmbH |b 0 |k FZJ | |
910 | 1 | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)151377 |a Forschungszentrum Jülich GmbH |b 1 |k FZJ | |
910 | 1 | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)129121 |a Forschungszentrum Jülich GmbH |b 2 |k FZJ | |
910 | 1 | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)165650 |a Forschungszentrum Jülich GmbH |b 3 |k FZJ | |
910 | 1 | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)3709 |a Forschungszentrum Jülich GmbH |b 4 |k FZJ | |
913 | 1 | |0 G:(DE-HGF)POF3-511 |1 G:(DE-HGF)POF3-510 |2 G:(DE-HGF)POF3-500 |a DE-HGF |b Key Technologies |v Computational Science and Mathematical Methods |x 0 |l Supercomputing & Big Data |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 | |
773 | |0 PERI:(DE-600)2016800-7 |a 10.1002/2015JD023749 |n 9 |p 4651–4673 |t Journal of geophysical research / Atmospheres |v 121 |x 2169-897X |y 2016 | ||
082 | |a 550 | ||
588 | |a Dataset connected to CrossRef | ||
245 | |a Lagrangian transport simulations of volcanic sulfur dioxide emissions: impact of meteorological data products | ||
024 | 7 | |2 doi |a 10.1002/2015JD023749 | |
024 | 7 | |2 ISSN |a 0148-0227 | |
024 | 7 | |2 ISSN |a 2156-2202 | |
024 | 7 | |2 ISSN |a 2169-897X | |
024 | 7 | |2 ISSN |a 2169-8996 | |
024 | 7 | |2 WOS |a WOS:000379715800016 | |
024 | 7 | |2 Handle |a 2128/16079 | |
024 | 7 | |a altmetric:6926215 |2 altmetric | |
260 | |a Hoboken, NJ |b Wiley |c 2016 | ||
100 | 1 | |0 P:(DE-Juel1)129125 |a Hoffmann, L. |b 0 |e Corresponding author | |
041 | |a English | ||
536 | |a Computational Science and Mathematical Methods |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 | ||
336 | |2 BibTeX |a ARTICLE | ||
336 | |a Journal Article |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |b journal |m journal |s 1512379495_12592 | ||
336 | |2 DataCite |a Output Types/Journal article | ||
336 | |2 DRIVER |a article | ||
336 | |a Nanopartikel unedler Metalle (Mg0, Al0, Gd0, Sm0) |0 0 |2 EndNote | ||
336 | |2 ORCID |a JOURNAL_ARTICLE | ||
981 | |a I:(DE-Juel1)IEK-8-20101013 | ||
920 | |l yes | ||
920 | |k Troposphäre; IEK-8 |0 I:(DE-Juel1)IEK-8-20101013 |l Troposphäre |x 1 | ||
920 | |k Jülich Supercomputing Center; JSC |0 I:(DE-Juel1)JSC-20090406 |l Jülich Supercomputing Center |x 0 | ||
990 | |a Hoffmann, Lars |0 P:(DE-Juel1)129125 |b 0 |e Corresponding author | ||
991 | |a Stein, Olaf |0 P:(DE-Juel1)3709 |b 4 | ||
991 | |a Heng, Yi |0 P:(DE-Juel1)165650 |b 3 | ||
991 | |a Griessbach, Sabine |0 P:(DE-Juel1)129121 |b 2 | ||
991 | |a Rössler, Thomas |0 P:(DE-Juel1)151377 |b 1 |