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Titel |
Case studies on aerosol feedback effects in online coupled chemistry-meteorology models during the 2010 Russian fire event |
VerfasserIn |
Renate Forkel, Dominik Brunner, Alessandra Balzarini, Rocío Baró, Marcus Hirtl, Pedro Jiménez-Guerrero, Oriol Jorba, Juan L. Perez, Guido Pirovano, Roberto San José, Wolfram Schröder, Johannes Werhahn, Ralf Wolke, Rahela Zabkar |
Konferenz |
EGU General Assembly 2015
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 17 (2015) |
Datensatznummer |
250102592
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Publikation (Nr.) |
EGU/EGU2015-1921.pdf |
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Zusammenfassung |
Aerosol particles are known to have an impact on weather and climate directly via radiation
and via their impact on cloud formation and subsequent modified optical properties of clouds.
Integrated or "online" coupled regional meteorology-chemistry models like WRF-Chem,
COSMO-ART, COSMO-Muscat, EnviroHIRLAM, NMMB/BSC-CTM, RAMS/ICLAMS or
WRF-CMAQ are able to account for this impact of aerosol on simulated meteorological
variables. However, besides of the meteorological situation simulated effects may also
depend on model configuration.
In order to analyse these effects and to compare their representation in different models
currently used in Europe, multi model simulations were performed for two episodes with
high aerosol loads as a coordinated exercise of the COST Action ES1004 (EuMetChem).
Here we analyze the first of these two case studies, the severe Russian forest fires in summer
2010. Emission data, boundary conditions, simulation strategy and data output format were
harmonized as much as possible to maximize the comparability of the results from the
different models.
The high aerosol emissions during the summer 2010 Russian wildfire episode led to
pronounced feedback effects. For example, the direct aerosol effect lowered the summer
mean solar radiation by 20 W m-3 and seasonal mean temperature by 0.25 degrees. This
might be considered as a lower limit as it must be taken into account that aerosol
concentrations were generally underestimated by the WRF-Chem simulations by up to
50%. The high aerosol concentrations emitted from the wildfires over Russia were
found to decrease the small amount of precipitation over Russia during this episode
by another 10% to 30% when aerosol cloud interactions were taken into account.
The focus of the discussion will be on case study results from WRF-Chem and a
comparison with results from COSMO-ART, COSMO-Muscat, and NMMB/BSC-CTM. |
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