Search results for "mixing [neutrino]"

showing 10 items of 50 documents

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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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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Potential of airborne lidar measurements for cirrus cloud studies

2014

Abstract. Aerosol and water vapour measurements were performed with the lidar system WALES of Deutsches Zentrum für Luft- und Raumfahrt (DLR) in October and November 2010 during the first mission with the new German research aircraft G55-HALO. Curtains composed of lidar profiles beneath the aircraft show the vertical and horizontal distribution and variability of water vapour mixing ratio and backscatter ratio above Germany. Two missions on 3 and 4 November 2010 were selected to derive the water vapour mixing ratio inside cirrus clouds from the lidar instrument. A good agreement was found with in situ observations performed on a second research aircraft flying below HALO. ECMWF analysis tem…

Atmospheric ScienceLidarMeteorologyBackscatterlcsh:TA715-787lcsh:Earthwork. FoundationsHumiditycirrusAtmospheric sciencesrelative humidityAerosollcsh:Environmental engineeringLidarMixing ratioEnvironmental sciencedialRelative humidityCirruslcsh:TA170-171Water vapor
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2017

Abstract. Eleven particle samples collected in the polar stratosphere during SOLVE (SAGE III Ozone loss and validation experiment) from January until March 2000 were characterized in detail by high-resolution transmission and scanning electron microscopy (TEM/SEM) combined with energy-dispersive X-ray microanalysis. A total of 4202 particles (TEM  =  3872; SEM  =  330) were analyzed from these samples, which were collected mostly inside the polar vortex in the altitude range between 17.3 and 19.9 km. Particles that were volatile in the microscope beams contained ammonium sulfates and hydrogen sulfates and dominated the samples. Some particles with diameters ranging from 20 to 830 nm were re…

Atmospheric ScienceNanostructure010504 meteorology & atmospheric sciencesScanning electron microscopeChemistryAnalytical chemistryMineralogyElectron010501 environmental sciences01 natural sciencesMicroanalysisAmorphous solid13. Climate actionPolar vortexMixing ratioStratosphere0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
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Sampling of an STT event over the Eastern Mediterranean region by lidar and electrochemical sonde

2005

A two-wavelength ultraviolet (289–316nm) ozone Differential Absorption Lidar (DIAL) system is used to perform ozone measurements in the free troposphere in the Eastern Mediterranean (Northern Greece). The ozone DIAL profiles obtained during a Stratosphere-to-Troposphere Transport (STT) event are compared to that acquired by an electrochemical ozonesonde, in the altitude range between 2 and 10 km. The measurement accuracy of these two instruments is also discussed. The mean difference between the ozone profiles obtained by the two techniques is of the order of 1.11 ppbv (1.86%), while the corresponding standard deviation is 4.69 ppbv (8.16%). A case study of an STT event which occurred on 29…

Atmospheric ScienceOzone010504 meteorology & atmospheric sciencesMeteorology[SDU.STU]Sciences of the Universe [physics]/Earth Sciences010501 environmental sciencesAtmospheric sciences01 natural sciencesTroposphereAtmospherechemistry.chemical_compoundPotential vorticityEarth and Planetary Sciences (miscellaneous)Mixing ratiolcsh:ScienceStratosphereAir mass0105 earth and related environmental sciences[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere[SDU.OCEAN] Sciences of the Universe [physics]/Ocean Atmospherelcsh:QC801-809GeologyAstronomy and Astrophysicslcsh:QC1-999lcsh:Geophysics. Cosmic physicsLidarchemistry13. Climate actionSpace and Planetary Science[SDU.STU] Sciences of the Universe [physics]/Earth SciencesEnvironmental sciencelcsh:Qlcsh:Physics
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2017

Abstract. The STRAP (Synergie Transdisciplinaire pour Répondre aux Aléas liés aux Panaches volcaniques) campaign was conducted over the entire year of 2015 to investigate the volcanic plumes of Piton de La Fournaise (La Réunion, France). For the first time, measurements at the local (near the vent) and at the regional scales were conducted around the island. The STRAP 2015 campaign has become possible thanks to strong cross-disciplinary collaboration between volcanologists and meteorologists. The main observations during four eruptive periods (85 days) are summarised. They include the estimates of SO2, CO2 and H2O emissions, the altitude of the plume at the vent and over different areas of …

Atmospheric Sciencegeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesMeteorology010502 geochemistry & geophysicsAtmospheric sciencesTracking (particle physics)01 natural sciencesAerosolPlumeAltitudeVolcanic plumeVolcano13. Climate actionObservatoryMixing ratioGeology0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
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Modelling of thermo-chemical properties over the sub-solidus MgO–FeO binary, as a function of iron spin configuration, composition and temperature

2014

Thermo-chemical properties and T–X phase relations diagram of the (Mg,Fe)O solid solution are modelled using mixing Helmholtz energy, ΔF(T,x)mixing, calculated by quantum mechanical and semi-empirical techniques. The sub-solidus MgO–FeO binary has been explored as a function of composition, with iron either in high-spin (HS) or low-spin (LS) configuration. Only the HS model provides physically sound results at room pressure, yielding a correct trend of cell edge versus composition, whereas LS’s issues are at variance with observations. Mixing Helmholtz energy has been parametrized by the following relationship: ΔF(T,x)mixing = x × y × [U0(T) + U1(T) × (x – y) + U2(T) × (x − y)2]−T × S(x,y)c…

ChemistryDegrees of freedom (physics and chemistry)(MgFe)OThermodynamicsSolidusMixing energyGibbs free energyMixing energy; Ab initio and semi-empirical modelling; (Mg; Fe)Osymbols.namesakeCrystallography(MgFe)O; Ab initio and semi-empirical modelling; Mixing energy; Geochemistry and Petrology; Materials Science (all)Geochemistry and PetrologyPhase (matter)Helmholtz free energysymbolsRelaxation (physics)General Materials ScienceMaterials Science (all)(MgFe)OAb initio and semi-empirical modellingMixing (physics)Solid solutionPhysics and Chemistry of Minerals
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Convergence of Markov Chains

2020

We consider a Markov chain X with invariant distribution π and investigate conditions under which the distribution of X n converges to π as n→∞. Essentially it is necessary and sufficient that the state space of the chain cannot be decomposed into subspaces that the chain does not leave, or that are visited by the chain periodically; e.g., only for odd n or only for even n.

CombinatoricsMarkov chain mixing timeMarkov chainChain (algebraic topology)Markov renewal processBalance equationAdditive Markov chainMarkov propertyExamples of Markov chainsMathematics
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