Search results for "Pollen forecasting"

showing 2 items of 2 documents

Multi-model ensemble simulations of olive pollen distribution in Europe in 2014: current status and outlook

2017

"Çalışmada 29 yazar bulunmaktadır. Bu yazarlardan sadece Bursa Uludağ Üniversitesi mensuplarının girişleri yapılmıştır” The paper presents the first modelling experiment of the European-scale olive pollen dispersion, analyses the quality of the predictions, and outlines the research needs. A 6-model strong ensemble of Copernicus Atmospheric Monitoring Service (CAMS) was run throughout the olive season of 2014, computing the olive pollen distribution. The simulations have been compared with observations in eight countries, which are members of the European Aeroallergen Network (EAN). Analysis was performed for individual models, the ensemble mean and median, and for a dynamically optimised c…

Allergenic pollenAtmospheric Science010504 meteorology & atmospheric sciencesAirborne pollenEnsemble averagingDistribution (economics)olive pollen airborne pollen modeling pollen forecasting multi-ensemble data fusion aerobiologyAtmospheric model010501 environmental sciences01 natural scienceslcsh:Chemistryddc:550Ragweed; Ambrosia Artemisiifolia; PollenMathematicsDry deposition schemeLand-surface parametersBerian peninsulaEnsemble forecastingDispersionAdvection algorithmiMiljövetenskaplcsh:QC1-999EuropeAtmospheric modelingClimatologyPollenEnvironment & SustainabilityBirch pollenGlobal databaseUrbanisationEnvironmentConsistency (statistics)Environmental sciences & ecologyStatistical dispersionddc:610PrecipitationOlea-europaea0105 earth and related environmental sciencesEnsemble forecastingbusiness.industryResearchCAS - Climate Air and SustainabilityWeightingEnvironmental sciences2015 Urban Mobility & Environmentlcsh:QD1-999Meteorology & atmospheric sciencesEuropean-scale olive pollen dispersion ; European Aeroallergen Network (EAN)Long-range transportELSS - Earth Life and Social SciencesPredictionbusinessEnvironmental Scienceslcsh:PhysicsAtmospheric Chemistry and Physics
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A statistical model for predicting the inter-annual variability of birch pollen abundance in Northern and North-Eastern Europe

2018

The paper suggests a methodology for predicting next-year seasonal pollen index (SPI, a sum of daily-mean pollen concentrations) over large regions and demonstrates its performance for birch in Northern and North-Eastern Europe. A statistical model is constructed using meteorological, geophysical and biological characteristics of the previous year). A cluster analysis of multi-annual data of European Aeroallergen Network (EAN) revealed several large regions in Europe, where the observed SPI exhibits similar patterns of the multi-annual variability. We built the model for the northern cluster of stations, which covers Finland, Sweden, Baltic States, part of Belarus, and, probably, Russia and…

Baltic StatesEnvironmental EngineeringRepublic of Belarus010504 meteorology & atmospheric sciencesMeteorologyCorrelation coefficientta1172Birch pollen010501 environmental sciencesSeasonal pollen indexmedicine.disease_causeDisease cluster01 natural sciencesPollen forecastingAnnan biologiRussiaAbundance (ecology)PollenmedicineOther Biological TopicsEnvironmental ChemistryWaste Management and DisposalBetulaFinland0105 earth and related environmental sciencesSwedenModels Statisticalta114NorwayStatistical modelAllergensPollutionBirch pollenGeographyta1181PollenSeasonsPhysical geographyInter-annual variabilityScience of The Total Environment
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