Search results for " Air and Sustainability"

showing 5 items of 5 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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Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity

2014

Many of the next generation of global climate models will include aerosol schemes which explicitly simulate the microphysical processes that determine the particle size distribution. These models enable aerosol optical properties and cloud condensation nuclei (CCN) concentrations to be determined by fundamental aerosol processes, which should lead to a more physically based simulation of aerosol direct and indirect radiative forcings. This study examines the global variation in particle size distribution simulated by 12 global aerosol microphysics models to quantify model diversity and to identify any common biases against observations. Evaluation against size distribution measurements from…

Atmospheric Science010504 meteorology & atmospheric sciencesParticle numbergeneral-circulation modelmixing state010501 environmental sciencesEnvironmentclimate modelblack carbonAtmospheric sciences01 natural sciencesTropospherelcsh:ChemistryZeppelinobservatorietUrban Developmentddc:550Cloud condensation nucleiBuilt Environmentnumber size distributionsPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesMicrophysicsparticle formationEarth / EnvironmentalCloud physicsatmospheric aerosolCAS - Climate Air and SustainabilityRadiative forcinglcsh:QC1-999Aerosolcloud condensation nucleimarine boundary-layerlcsh:QD1-99913. Climate actionClimatologyEnvironmental scienceClimate modelELSS - Earth Life and Social Sciencesoff-line modellcsh:Physics
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General overview: European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI)-integrating aerosol research from nano …

2011

In this paper we describe and summarize the main achievements of the European Aerosol Cloud Climate and Air Quality Interactions project (EUCAARI). EUCAARI started on 1 January 2007 and ended on 31 December 2010 leaving a rich legacy including: (a) a comprehensive database with a year of observations of the physical, chemical and optical properties of aerosol particles over Europe, (b) comprehensive aerosol measurements in four developing countries, (c) a database of airborne measurements of aerosols and clouds over Europe during May 2008, (d) comprehensive modeling tools to study aerosol processes fron nano to global scale and their effects on climate and air quality. In addition a new Pan…

Atmospheric ScienceEuropean aerosol010504 meteorology & atmospheric sciencesaerosolAerosol radiative forcingClimateclouds010501 environmental sciencesAtmospheric sciences01 natural scienceslcsh:Chemistry/dk/atira/pure/sustainabledevelopmentgoals/climate_actionAerosol cloud11. SustainabilitySDG 13 - Climate Actionddc:550particle propertiesEnvironmental policysaturation vapor-pressureschemical-transport modelMiljövetenskapair qualitylcsh:QC1-999General Circulation Model/dk/atira/pure/subjectarea/asjc/1900/1902EUCAARIEELS - Earth Environmental and Life SciencesION-INDUCED NUCLEATIONChemical transport modelMeteorologyEarth & EnvironmentEnergy / Geological Survey NetherlandsSIMULATION CHAMBER SAPHIRnuclei number concentrationSECONDARY ORGANIC AEROSOLpure component propertiesAir quality indexEnvironmental quality0105 earth and related environmental sciencesPARTICLE FORMATION EVENTSAtmosphärische Spurenstoffe[CHIM.CATA]Chemical Sciences/CatalysisCAS - Climate Air and Sustainability[SDE.ES]Environmental Sciences/Environmental and SocietyFalconAerosollcsh:QD1-99913. Climate actionmixed-phase cloudsEnvironmental scienceatmospheric sulfuric-acidEnvironmental Scienceslcsh:Physics
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MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe

2015

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…

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 Sciences
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In situ, satellite measurement and model evidence on the dominant regional contribution to fine particulate matter levels in the Paris megacity

2015

International audience; Published by Copernicus Publications on behalf of the European Geosciences Union. 9578 M. Beekmann et al.: Evidence for a dominant regional contribution to fine particulate matter levels Abstract. A detailed characterization of air quality in the megacity of Paris (France) during two 1-month intensive campaigns and from additional 1-year observations revealed that about 70 % of the urban background fine particulate matter (PM) is transported on average into the megacity from upwind regions. This dominant influence of regional sources was confirmed by in situ measurements during short intensive and longer-term campaigns, aerosol optical depth (AOD) measurements from E…

PollutionAtmospheric ScienceMeteorologyUrban Mobility & Environmentmedia_common.quotation_subjectAir pollutionUrbanisationEnvironmentmedicine.disease_causeAtmospheric scienceslcsh:Chemistrychemistry.chemical_compoundNitrate540 Chemistry11. SustainabilitymedicineSulfateAir quality indexmedia_commonAdvectionCAS - Climate Air and Sustainabilitylcsh:QC1-999AerosolMegacitylcsh:QD1-999chemistry13. Climate action[SDE]Environmental SciencesELSS - Earth Life and Social SciencesEnvironment & Sustainabilitylcsh:Physics
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