6533b830fe1ef96bd1296701
RESEARCH PRODUCT
MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe
Julius ViraPilvi SiljamoDmitry KhvorostyanovAnna-mari PessiOlga RitenbergaLennart RobertsonMichel ThibaudonKarl-christian BergmannAnnika SaartoElena SeverovaVictoria RodinkovaLaurent MenutE. FrieseMarje PrankRichard KranenburgVincent-henri PeuchE. TeinemaaCarmen GalánRobert GehrigUwe BergerU. KumarJoaquim ArtetaF. CherouxHendrik ElbernJordina BelmonteMikhail SofievVirginie MarécalBirthe Marie SteensenFrédérik MeleuxArjo SegersI. Saulienesubject
Atmospheric Sciencemedicine.medical_specialty010504 meteorology & atmospheric sciencesUrban Mobility & EnvironmentClimateAerobiologyUrbanisation010501 environmental sciencesmedicine.disease_cause01 natural sciencesAerobiologyFloweringlcsh:ChemistryPollenddc:550medicineStatistical dispersionAerosol0105 earth and related environmental sciencesEnsemble forecastingEnsemble averageModelingEnsemble forecastingCAS - Climate Air and SustainabilityMiljövetenskaplcsh:QC1-999EuropeBirch pollenlcsh:QD1-999HabitatClimatology[SDE]Environmental SciencesPollenLate seasonEnvironmental scienceELSS - Earth Life and Social SciencesEnvironment & Sustainabilitylcsh:PhysicsEnvironmental Sciencesdescription
Abstract. This paper presents the first ensemble modelling experiment in relation to birch pollen in Europe. The seven-model European ensemble of MACC-ENS, tested in trial simulations over the flowering season of 2010, was run through the flowering season of 2013. The simulations have been compared with observations in 11 countries, all members of the European Aeroallergen Network, for both individual models and the ensemble mean and median. It is shown that the models successfully reproduced the timing of the very late season of 2013, generally within a couple of days from the observed start of the season. The end of the season was generally predicted later than observed, by 5 days or more, which is a known feature of the source term used in the study. Absolute pollen concentrations during the season were somewhat underestimated in the southern part of the birch habitat. In the northern part of Europe, a record-low pollen season was strongly overestimated by all models. The median of the multi-model ensemble demonstrated robust performance, successfully eliminating the impact of outliers, which was particularly useful since for most models this was the first experience of pollen forecasting.
year | journal | country | edition | language |
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2015-01-01 |