000828163 001__ 828163
000828163 005__ 20240712101001.0
000828163 0247_ $$2doi$$a10.5194/acp-2016-1189
000828163 0247_ $$2ISSN$$a1680-7367
000828163 0247_ $$2ISSN$$a1680-7375
000828163 0247_ $$2Handle$$a2128/13933
000828163 0247_ $$2altmetric$$aaltmetric:16053717
000828163 037__ $$aFZJ-2017-02131
000828163 082__ $$a550
000828163 1001_ $$0P:(DE-HGF)0$$aSofiev, Mikhail$$b0$$eCorresponding author
000828163 245__ $$aMulti-model ensemble simulations of olive pollen distribution in Europe in 2014
000828163 260__ $$aKatlenburg-Lindau$$bEGU$$c2017
000828163 3367_ $$2DRIVER$$aarticle
000828163 3367_ $$2DataCite$$aOutput Types/Journal article
000828163 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1568969608_27324
000828163 3367_ $$2BibTeX$$aARTICLE
000828163 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000828163 3367_ $$00$$2EndNote$$aJournal Article
000828163 520__ $$aA 6-models strong European ensemble of Copernicus Atmospheric Monitoring Service (CAMS) was run through the season of 2014 computing the olive pollen dispersion in Europe. The simulations have been compared with observations in 6 countries, members of the European Aeroallergen Network. Analysis was performed for individual models, the ensemble mean and median, and for a dynamically optimized combination of the ensemble members obtained via fusion of the model predictions with observations. The models, generally reproducing the olive season of 2014, showed noticeable deviations from both observations and each other. In particular, the season start was reported too early, by 8 days but for some models the error mounted to almost two weeks. For the season end, the disagreement between the models and the observations varied from a nearly perfect match up to two weeks too late. A series of sensitivity studies performed to understand the origin of the disagreements revealed crucial role of ambient temperature, especially systematic biases in its representation by meteorological models. A simple correction to the heat sum threshold eliminated the season shift but its validity in other years remains to be checked. The short-term features of the concentration time series were reproduced better suggesting that the precipitation events and cold/warm spells, as well as the large-scale transport were represented rather well. Ensemble averaging led to more robust results. The best skill scores were obtained with data fusion, which used the previous-days observations to identify the optimal weighting coefficients of the individual model forecasts. Such combinations were tested for the forecasting period up to 4 days and shown to remain nearly optimal throughout the whole period.
000828163 536__ $$0G:(DE-HGF)POF3-243$$a243 - Tropospheric trace substances and their transformation processes (POF3-243)$$cPOF3-243$$fPOF III$$x0
000828163 588__ $$aDataset connected to CrossRef
000828163 7001_ $$0P:(DE-HGF)0$$aRitenberga, Olga$$b1
000828163 7001_ $$0P:(DE-HGF)0$$aAlbertini, Roberto$$b2
000828163 7001_ $$0P:(DE-HGF)0$$aArteta, Joaquim$$b3
000828163 7001_ $$00000-0002-6419-9595$$aBelmonte, Jordina$$b4
000828163 7001_ $$0P:(DE-HGF)0$$aBonini, Maira$$b5
000828163 7001_ $$0P:(DE-HGF)0$$aCelenk, Sevcan$$b6
000828163 7001_ $$0P:(DE-HGF)0$$aDamialis, Athanasios$$b7
000828163 7001_ $$0P:(DE-HGF)0$$aDouros, John$$b8
000828163 7001_ $$0P:(DE-Juel1)129194$$aElbern, Hendrik$$b9$$ufzj
000828163 7001_ $$0P:(DE-HGF)0$$aFriese, Elmar$$b10
000828163 7001_ $$0P:(DE-HGF)0$$aGalan, Carmen$$b11
000828163 7001_ $$0P:(DE-HGF)0$$aGilles, Oliver$$b12
000828163 7001_ $$0P:(DE-HGF)0$$aHrga, Ivana$$b13
000828163 7001_ $$0P:(DE-HGF)0$$aKouznetsov, Rostislav$$b14
000828163 7001_ $$0P:(DE-Juel1)129347$$aKrajsek, Kai$$b15$$ufzj
000828163 7001_ $$0P:(DE-HGF)0$$aParmentier, Jonathan$$b16
000828163 7001_ $$00000-0002-5374-1895$$aPlu, Matthieu$$b17
000828163 7001_ $$0P:(DE-HGF)0$$aPrank, Marje$$b18
000828163 7001_ $$0P:(DE-HGF)0$$aRobertson, Lennart$$b19
000828163 7001_ $$0P:(DE-HGF)0$$aSteensen, Birthe Marie$$b20
000828163 7001_ $$0P:(DE-HGF)0$$aThibaudon, Michel$$b21
000828163 7001_ $$0P:(DE-HGF)0$$aSegers, Arjo$$b22
000828163 7001_ $$0P:(DE-HGF)0$$aStepanovich, Barbara$$b23
000828163 7001_ $$0P:(DE-HGF)0$$aValdebenito, Alvaro M.$$b24
000828163 7001_ $$0P:(DE-HGF)0$$aVira, Julius$$b25
000828163 7001_ $$0P:(DE-HGF)0$$aVokou, Despoina$$b26
000828163 773__ $$0PERI:(DE-600)2069857-4$$a10.5194/acp-2016-1189$$gp. 1 - 32$$p1 - 32$$tAtmospheric chemistry and physics / Discussions$$v $$x1680-7375$$y2017
000828163 8564_ $$uhttps://juser.fz-juelich.de/record/828163/files/acp-2016-1189.pdf$$yOpenAccess
000828163 8564_ $$uhttps://juser.fz-juelich.de/record/828163/files/acp-2016-1189.gif?subformat=icon$$xicon$$yOpenAccess
000828163 8564_ $$uhttps://juser.fz-juelich.de/record/828163/files/acp-2016-1189.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
000828163 8564_ $$uhttps://juser.fz-juelich.de/record/828163/files/acp-2016-1189.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000828163 8564_ $$uhttps://juser.fz-juelich.de/record/828163/files/acp-2016-1189.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000828163 8564_ $$uhttps://juser.fz-juelich.de/record/828163/files/acp-2016-1189.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000828163 909CO $$ooai:juser.fz-juelich.de:828163$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000828163 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129194$$aForschungszentrum Jülich$$b9$$kFZJ
000828163 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129347$$aForschungszentrum Jülich$$b15$$kFZJ
000828163 9131_ $$0G:(DE-HGF)POF3-243$$1G:(DE-HGF)POF3-240$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lAtmosphäre und Klima$$vTropospheric trace substances and their transformation processes$$x0
000828163 9141_ $$y2017
000828163 915__ $$0LIC:(DE-HGF)CCBY3$$2HGFVOC$$aCreative Commons Attribution CC BY 3.0
000828163 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000828163 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000828163 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000828163 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000828163 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000828163 920__ $$lyes
000828163 9201_ $$0I:(DE-Juel1)IEK-8-20101013$$kIEK-8$$lTroposphäre$$x0
000828163 9801_ $$aFullTexts
000828163 980__ $$ajournal
000828163 980__ $$aVDB
000828163 980__ $$aI:(DE-Juel1)IEK-8-20101013
000828163 980__ $$aUNRESTRICTED
000828163 981__ $$aI:(DE-Juel1)ICE-3-20101013