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Titel |
Evaluating lateral boundary conditions in MATCH using retrieved observations from satellites |
VerfasserIn |
Emma Andersson, Michael Kahnert, David Simpson, Abhay Devasthale |
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 |
250104315
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Publikation (Nr.) |
EGU/EGU2015-3737.pdf |
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Zusammenfassung |
The role of hemispheric transport has gained large attention in regional chemical
transport models due to its impact on both climate, air quality and visibility. The
hemispheric transport in regional models are represented by the lateral boundary
conditions (LBCs), where the inflow boundary specifies the domain beyond the model
region and the outflow region will impact the stability of the advective transport
solution.
This study focuses on evaluating and implement LBCs from global chemical
transport models for two important atmospheric tracers: carbon monoxide (CO)
and ozone (O3). LBCs are derived from the hemispheric European Monitoring
and Evaluation Programme (EMEP) model and the Model for Ozone and Related
chemical Tracers (MOZART-4) over the time periods 2006-2012 and 2011-2012
respectively.
Evaluation is done with observational data retrieved from the satellite sensors
Measurements Of the Pollution In The Troposphere (MOPITT) and the Ozone Monitoring
Instrument (OMI). The implementation of the LBCs is done in the regional chemical
transport model Multiple scale atmospheric transport and chemistry (MATCH),
developed by the Swedish Meteorological and Hydrological Institute (SMHI). The
MATCH model is mostly used in simulations of the air quality over Europe on
both on regional and local scales. In this study the model the domain is set over
Europe.
The LBC evaluation is done for the tropospheric column by smoothing the LBCs using
satellite averaging kernels and a priori information. By retrieving the average profile for each
month and lateral boundary, possible biases and also what global model that might be better
suited for the LBCs in MATCH. The implementation will show how these biases proliferate
through the MATCH model, and it will possibly be compared to satellite retrieved
data from the sensor Atmospheric InfraRed Sounder (AIRS) inboard the satellite
Aqua. |
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