Search results for "Mixing"

showing 10 items of 795 documents

Measuring the deviation of the 2–3 lepton mixing from maximal with atmospheric neutrinos

2004

The measurement of the deviation of the 2-3 leptonic mixing from maximal, D_23 = 1/2 - sin^2(theta_23), is one of the key issues for understanding the origin of the neutrino masses and mixing. In the three-neutrino context we study the dependence of various observables in the atmospheric neutrinos on D_23. We perform a global three-neutrino analysis of the atmospheric and reactor neutrino data taking into account the effects of both the oscillations driven by the "solar" parameters (Delta_m_21^2 and theta_12) and the 1-3 mixing. The departure from the one-dominant mass scale approximation results into the shift of the 2-3 mixing from maximal by Delta_sin^2(theta_23) ~ 0.04, so that D_23 ~ 0…

Astrofísica nuclearNuclear and High Energy PhysicsParticle physicsSolar neutrinoFOS: Physical sciencesContext (language use)01 natural sciencesPartícules (Física nuclear)High Energy Physics - Phenomenology (hep-ph)0103 physical sciencesInvariant massSensitivity (control systems)010306 general physicsNeutrino oscillationMixing (physics)Particle Physics - PhenomenologyParticles (Nuclear physics)Physics010308 nuclear & particles physicsHigh Energy Physics - Phenomenology13. Climate actionAstronomiaHigh Energy Physics::ExperimentNuclear astrophysicsNeutrinoLeptonPhysical Review D
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The scavenging of two different types of marine aerosol particles calculated using a two-dimensional detailed cloud model

2011

Our 2-D dynamic model including spectral microphysics and scavenging has been evaluated for a warm precipitating convective cloud at Day 261 (18 September 1974) of the GATE campaign. Two different chemical species ((NH 4 ) 2 SO 4 and NaCl) of aerosol particles were followed in the air, inside the drops in the cloud, and inside the drops reaching the ground. Concerning the dynamics and microphysics, as well as the scavenging and wet deposition, the model results agree quite well with available observations. The cloud rained after 19 min of cloud life time. For the considered aerosol loading of the atmosphere, rough estimates are derived for the total material processed by such a warm convect…

Atmospheric Science010504 meteorology & atmospheric sciencesMicrophysicsChemistryDrop (liquid)Analytical chemistryMineralogy01 natural sciencesAerosol13. Climate actionLiquid water contentCloud baseMixing ratioRelative humidityScavenging0105 earth and related environmental sciencesTellus B
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2020

Abstract. This study presents airborne in situ and satellite remote sensing climatologies of cirrus clouds and humidity. The climatologies serve as a guide to the properties of cirrus clouds, with the new in situ database providing detailed insights into boreal midlatitudes and the tropics, while the satellite-borne data set offers a global overview. To this end, an extensive, quality-checked data archive, the Cirrus Guide II in situ database, is created from airborne in situ measurements during 150 flights in 24 campaigns. The archive contains meteorological parameters, ice water content (IWC), ice crystal number concentration (Nice), ice crystal mean mass radius (Rice), relative humidity …

Atmospheric Science010504 meteorology & atmospheric sciencesMicrophysicsIce crystals010502 geochemistry & geophysics01 natural sciences13. Climate actionAnticycloneClimatologyMixing ratioEnvironmental scienceEast Asian MonsoonCirrusTropopauseStratosphere0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
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2018

Abstract. The impact of air masses originating in Asia and influenced by the Asian monsoon anticyclone on the Northern Hemisphere stratosphere is investigated based on in situ measurements. A statistically significant increase in water vapor (H2O) of about 0.5 ppmv (11 %) and methane (CH4) of up to 20 ppbv (1.2 %) in the extratropical stratosphere above a potential temperature of 380 K was detected between August and September 2012 during the HALO aircraft missions Transport and Composition in the UT/LMS (TACTS) and Earth System Model Validation (ESMVal). We investigate the origin of the increased water vapor and methane using the three-dimensional Chemical Lagrangian Model of the Stratosph…

Atmospheric Science010504 meteorology & atmospheric sciencesNorthern Hemisphere010502 geochemistry & geophysicsAtmospheric sciences01 natural sciences13. Climate actionAnticycloneExtratropical cycloneMixing ratioEnvironmental scienceEast Asian MonsoonStratosphereAir massWater vapor0105 earth and related environmental sciencesAtmospheric 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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Seasonality and extent of extratropical TST derived from in-situ CO measurements during SPURT

2004

Abstract. We present airborne in-situ trace gas measurements which were performed on eight campaigns between November 2001 and July 2003 during the SPURT-project (SPURenstofftransport in der Tropopausenregion, trace gas transport in the tropopause region). The measurements on a quasi regular basis allowed an overview of the seasonal variations of the trace gas distribution in the tropopause region over Europe from 35°-75°N to investigate the influence of transport and mixing across the extratropical tropopause on the lowermost stratosphere. From the correlation of CO and O3 irreversible mixing of tropospheric air into the lowermost stratosphere is identified. The CO distribution indicates t…

Atmospheric Science010504 meteorology & atmospheric sciencesSeasonalitymedicine.diseaseAtmospheric sciences01 natural sciencesTrace gas010309 opticsTroposphere13. Climate actionClimatology0103 physical sciencesExtratropical cyclonemedicineEnvironmental sciencePotential temperatureTropopauseStratosphereMixing (physics)0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
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Influx of African biomass burning aerosol during the Amazonian dry season through layered transatlantic transport of black carbon-rich smoke

2020

Black carbon (BC) aerosols influence the Earth's atmosphere and climate, but their microphysical properties, spatiotemporal distribution, and long-range transport are not well constrained. This study presents airborne observations of the transatlantic transport of BC-rich African biomass burning (BB) smoke into the Amazon Basin using a Single Particle Soot Photometer (SP2) as well as several complementary techniques. We base our results on observations of aerosols and trace gases off the Brazilian coast onboard the HALO (High Altitude and LOng range) research aircraft during the ACRIDICON-CHUVA campaign in September 2014. During flight AC19 over land and ocean at the northeastern coastline …

Atmospheric Science010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global ChangesPopulation010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesAtmospherelcsh:ChemistryAltitudeConvective mixingddc:550Cloud condensation nucleiMass concentration (chemistry)educationbiomass burning aerosol transport airborne measurement Amazon basin0105 earth and related environmental sciences[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]education.field_of_studyAmazon rainforestAtmosphärische Spurenstoffe15. Life on landOberpfaffenhofenBACIA HIDROGRÁFICAlcsh:QC1-999Aerosollcsh:QD1-99913. Climate actionEnvironmental sciencelcsh:Physics
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2012

Abstract. One of the major uncertainties in the understanding of Earth's climate system is the interaction between solar radiation and aerosols in the atmosphere. Aerosols exposed to high humidity will change their chemical, physical, and optical properties due to their increased water content. To model hydrated aerosols, atmospheric chemistry and climate models often use the volume weighted mixing rule to predict the complex refractive index (RI) of aerosols when they interact with high relative humidity, and, in general, assume homogeneous mixing. This study explores the validity of these assumptions. A humidified cavity ring down aerosol spectrometer (CRD-AS) and a tandem hygroscopic DMA…

Atmospheric Science010504 meteorology & atmospheric sciencesbusiness.industryChemistryScatteringMie scatteringAnalytical chemistry010501 environmental sciencesMolar absorptivity01 natural sciencesAerosolOptics13. Climate actionExtinction (optical mineralogy)Differential mobility analyzerRelative humiditybusinessMixing (physics)0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
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State of mixing, shape factor, number size distribution, and hygroscopic growth of the Saharan anthropogenic and mineral dust aerosol at Tinfou, Moro…

2009

The Saharan Mineral Dust Experiment (SAMUM) was conducted in May and June 2006 in Tinfou, Morocco. A H-TDMA system and a H-DMA-APS system were used to obtain hygroscopic properties of mineral dust particles at 85% RH. Dynamic shape factors of 1.11, 1.19 and 1.25 were determined for the volume equivalent diameters 720, 840 and 960 nm, respectively. During a dust event, the hydrophobic number fraction of 250 and 350 nm particles increased significantly from 30 and 65% to 53 and 75%, respectively, indicating that mineral dust particles can be as small as 200 nm in diameter. Log-normal functions for mineral dust number size distributions were obtained from total particle number size distributio…

Atmospheric ScienceAmmonium sulfateMaterials science010504 meteorology & atmospheric sciencesParticle numberaerosolhygroscopicityAtmosphärische SpurenstoffeMineralogyFraction (chemistry)010501 environmental sciencesMineral dustcomplex mixtures01 natural sciencesstate of mixingAerosolSAMUMchemistry.chemical_compoundchemistryParticle-size distributionAeolian processesShape factor0105 earth and related environmental sciencesTellus B: Chemical and Physical Meteorology
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A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1

2020

The hydroxyl radical (OH) plays critical roles within the troposphere, such as determining the lifetime of methane (CH4), yet is challenging to model due to its fast cycling and dependence on a multitude of sources and sinks. As a result, the reasons for variations in OH and the resulting methane lifetime (τCH4), both between models and in time, are difficult to diagnose. We apply a neural network (NN) approach to address this issue within a group of models that participated in the Chemistry-Climate Model Initiative (CCMI). Analysis of the historical specified dynamics simulations performed for CCMI indicates that the primary drivers of τCH4 differences among 10 models are the flux of UV li…

Atmospheric ScienceAtmospheric chemistry010504 meteorology & atmospheric sciencesneural networkAnalytical chemistry010501 environmental sciences01 natural sciencesTropospherelcsh:Chemistrychemistry.chemical_compoundMESSyErdsystem-ModellierungMixing ratioTropospheric ozoneIsopreneNOx0105 earth and related environmental sciencesEMAChydroxyl radicalPhotodissociationlcsh:QC1-999Atmospheric chemistry neural networkmachine learningchemistrylcsh:QD1-99913. Climate actionCCMI[SDE]Environmental SciencesHydroxyl radicalWater vaporlcsh:Physicsmethane lifetime
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