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Air quality modelling in the Berlin-Brandenburg region using WRF-Chem v3.7.1: sensitivity to resolution of model grid and input data

Kuik, Friderike und Lauer, Axel und Churkina, Galina und Denier van der Gon, Hugo und Fenner, Daniel und Mar, Kathleen und Butler, Tim (2016) Air quality modelling in the Berlin-Brandenburg region using WRF-Chem v3.7.1: sensitivity to resolution of model grid and input data. Geoscientific Model Development (9), Seiten 4339-4363. Copernicus Publications. doi: 10.5194/gmd-9-4339-2016. ISSN 1991-959X.

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Offizielle URL: http://www.geosci-model-dev.net/9/4339/2016/

Kurzfassung

Air pollution is the number one environmental cause of premature deaths in Europe. Despite extensive regulations, air pollution remains a challenge, especially in urban areas. For studying summertime air quality in the Berlin–Brandenburg region of Germany, the Weather Research and Forecasting Model with Chemistry (WRF-Chem) is set up and evaluated against meteorological and air quality observations from monitoring stations as well as from a field campaign conducted in 2014. The objective is to assess which resolution and level of detail in the input data is needed for simulating urban background air pollutant concentrations and their spatial distribution in the Berlin–Brandenburg area. The model setup includes three nested domains with horizontal resolutions of 15, 3 and 1 km and anthropogenic emissions from the TNO-MACC III inventory. We use RADM2 chemistry and the MADE/SORGAM aerosol scheme. Three sensitivity simulations are conducted updating input parameters to the single-layer urban canopy model based on structural data for Berlin, specifying land use classes on a sub-grid scale (mosaic option) and downscaling the original emissions to a resolution of ca. 1 km × 1 km for Berlin based on proxy data including traffic density and population density. The results show that the model simulates meteorology well, though urban 2 m temperature and urban wind speeds are biased high and nighttime mixing layer height is biased low in the base run with the settings described above. We show that the simulation of urban meteorology can be improved when specifying the input parameters to the urban model, and to a lesser extent when using the mosaic option. On average, ozone is simulated reasonably well, but maximum daily 8 h mean concentrations are underestimated, which is consistent with the results from previous modelling studies using the RADM2 chemical mechanism. Particulate matter is underestimated, which is partly due to an underestimation of secondary organic aerosols. NOx (NO + NO2) concentrations are simulated reasonably well on average, but nighttime concentrations are overestimated due to the model's underestimation of the mixing layer height, and urban daytime concentrations are underestimated. The daytime underestimation is improved when using downscaled, and thus locally higher emissions, suggesting that part of this bias is due to deficiencies in the emission input data and their resolution. The results further demonstrate that a horizontal resolution of 3 km improves the results and spatial representativeness of the model compared to a horizontal resolution of 15 km. With the input data (land use classes, emissions) at the level of detail of the base run of this study, we find that a horizontal resolution of 1 km does not improve the results compared to a resolution of 3 km. However, our results suggest that a 1 km horizontal model resolution could enable a detailed simulation of local pollution patterns in the Berlin–Brandenburg region if the urban land use classes, together with the respective input parameters to the urban canopy model, are specified with a higher level of detail and if urban emissions of higher spatial resolution are used.

elib-URL des Eintrags:https://elib.dlr.de/108361/
Dokumentart:Zeitschriftenbeitrag
Titel:Air quality modelling in the Berlin-Brandenburg region using WRF-Chem v3.7.1: sensitivity to resolution of model grid and input data
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Kuik, FriderikeIASS PotsdamNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Lauer, AxelDLR, IPAhttps://orcid.org/0000-0002-9270-1044NICHT SPEZIFIZIERT
Churkina, GalinaIASS PotsdamNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Denier van der Gon, HugoTNO, Utrecht, NiederlandeNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Fenner, DanielTechnische Universität BerlinNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Mar, KathleenIASS PotsdamNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Butler, TimIASS PotsdamNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:5 Dezember 2016
Erschienen in:Geoscientific Model Development
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI:10.5194/gmd-9-4339-2016
Seitenbereich:Seiten 4339-4363
Verlag:Copernicus Publications
ISSN:1991-959X
Status:veröffentlicht
Stichwörter:Regional modeling, WRF, air quality, Berlin, Germany, NOx, emissions, high-resolution
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrssystem
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VS - Verkehrssystem
DLR - Teilgebiet (Projekt, Vorhaben):V - Verkehrsentwicklung und Umwelt II (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Physik der Atmosphäre > Erdsystem-Modellierung
Hinterlegt von: Lauer, Axel
Hinterlegt am:05 Dez 2016 11:43
Letzte Änderung:02 Mai 2019 14:14

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