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dc.contributor.authorKOFFI N'DRIen_GB
dc.contributor.authorBERGAMASCHI Peteren_GB
dc.contributor.authorKARSTENS U.en_GB
dc.contributor.authorKROL M.en_GB
dc.contributor.authorSEGERS Arjoen_GB
dc.contributor.authorSCHMIDT Martinaen_GB
dc.contributor.authorLEVIN Ingeborgen_GB
dc.contributor.authorVERMEULEN A.t.en_GB
dc.contributor.authorFISHER Rebeccaen_GB
dc.contributor.authorKAZAN Ven_GB
dc.contributor.authorKLEIN BALTINK H.en_GB
dc.contributor.authorLOWRY Daveen_GB
dc.contributor.authorMANCA Giovannien_GB
dc.contributor.authorMEIJER H. A. J.en_GB
dc.contributor.authorMONCRIEFF Johnen_GB
dc.contributor.authorPAL S.en_GB
dc.contributor.authorRAMONET Michelen_GB
dc.contributor.authorSCHEEREN Hubertusen_GB
dc.contributor.authorWILLIAMS A. G.en_GB
dc.date.accessioned2016-10-14T00:07:22Z-
dc.date.available2016-10-12en_GB
dc.date.available2016-10-14T00:07:22Z-
dc.date.created2016-09-22en_GB
dc.date.issued2016en_GB
dc.date.submitted2016-02-05en_GB
dc.identifier.citationGEOSCIENTIFIC MODEL DEVELOPMENT vol. 9 no. 9 p. 3137–3160en_GB
dc.identifier.issn1991-959Xen_GB
dc.identifier.urihttp://www.geosci-model-dev.net/9/3137/2016/en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC100435-
dc.description.abstractWe evaluate the capability of the global atmospheric transport model TM5 to simulate the boundary layer dynamics and associated variability of trace gases close to the surface, using radon (222Rn). Focusing on the European scale, we compare the boundary layer height (BLH) in the TM5 model with observations from the National Oceanic and Atmospheric Admnistration (NOAA) Integrated Global Radiosonde Archive (IGRA) and also with ceilometer and lidar (light detection and ranging) BLH retrievals at two stations. Furthermore, we compare TM5 simulations of 222Rn activity concentrations, using a novel, process-based 222Rn flux map over Europe (Karstens et al., 2015), with harmonised 222Rn measurements at 10 stations. The TM5 model reproduces relatively well the daytime BLH (within 10–20 % for most of the stations), except for coastal sites, for which differences are usually larger due to model representation errors. During night, however, TM5 overestimates the shallow nocturnal BLHs, especially for the very low observed BLHs (< 100 m) during summer. The 222Rn activity concentration simulations based on the new 222Rn flux map show significant improvements especially regarding the average seasonal variability, compared to simulations using constant 222Rn fluxes. Nevertheless, the (relative) differences between simulated and observed daytime minimum 222Rn activity concentrations are larger for several stations (on the order of 50 %) than the (relative) differences between simulated and observed BLH at noon. Although the nocturnal BLH is often higher in the model than observed, simulated 222Rn nighttime maxima are actually larger at several continental stations. This counterintuitive behaviour points to potential deficiencies of TM5 to correctly simulate the vertical gradients within the nocturnal boundary layer, limitations of the 222Rn flux map, or issues related to the definition of the nocturnal BLH. At several stations the simulated decrease of 222Rn activity concentrations in the morning is faster than observed. In addition, simulated vertical 222Rn activity concentration gradients at Cabauw decrease faster than observations during the morning transition period, and are in general lower than observed gradients during daytime. Although these effects may be partially due to the slow response time of the radon detectors, they clearly point to too fast vertical mixing in the TM5 boundary layer during daytime. Furthermore, the capability of the TM5 model to simulate the diurnal BLH cycle is limited by the current coarse temporal resolution (3 h/6 h) of the TM5 input meteorology.en_GB
dc.description.sponsorshipJRC.C.5-Air and Climateen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherCOPERNICUS GESELLSCHAFT MBHen_GB
dc.relation.ispartofseriesJRC100435en_GB
dc.titleEvaluation of the boundary layer dynamics of the TM5 model over Europeen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.5194/gmd-9-3137-2016en_GB
JRC Directorate:Energy, Transport and Climate

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