Search results for "Atmosphere"

showing 10 items of 673 documents

Abundance of cellular material and proteins in the atmosphere.

2005

Suspended atmospheric particles play a crucial role in any global climate scenario: They can both enforce and suppress radiative forcing. In developing climate modeling further, a deeper understanding of atmospheric aerosol is needed. Because of extreme local and temporal variations, proper incorporation of aerosols into models requires modeling of the aerosol itself. It turns out that cellular material and proteins compose up to 25% of the atmospheric aerosol. Consequently, the source strength of the biogenic aerosol in general must be corrected and should be estimated on the order of other major aerosol sources.

SporesMeteorologyCellsAir MicrobiologyEnvironmentAtmospheric sciencesTroposphereAtmosphereAnimalsHumansParticle SizeAerosolsMultidisciplinaryBacteriaAtmosphereFungiBiogeochemistryEukaryotaProteinsRadiative forcingAerosolAtmospheric chemistryVirusesEnvironmental sciencePollenClimate modelSeasonsBioaerosolScience (New York, N.Y.)
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Correcting the effect of stellar spots on ARIEL transmission spectra – II. The limb-darkening effect

2021

This paper is part of an effort to correct the transmission spectra of a transiting planet orbiting an active star. In Paper I (Cracchiolo et al. 2020) we have demonstrated a methodology to minimize the potential bias induced by unocculted star spots on the transmission spectrum, assuming a spot model parameterized by filling factor and temperature. In this work we introduce the limb darkening effect, therefore the position of the spot in the stellar disk and the impact parameter of the transiting planet now play a key role. The method is tested on simulations of planetary transits of three representative kinds of planetary systems, at ARIEL resolution. We find that a realistic treatment of…

Stars: activityFOS: Physical sciencesTechniques: spectroscopicAstrophysicsF.2.2; I.2.701 natural sciencesSpectral lineSettore FIS/05 - Astronomia E AstrofisicaPlanet0103 physical sciencesAstrophysics::Solar and Stellar AstrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)Earth and Planetary Astrophysics (astro-ph.EP)PhysicsPlanets and satellites: atmosphere010308 nuclear & particles physicsFilling factorI.2.7StarspotAstronomy and AstrophysicsPlanetary systemStarspotsAstrophysics - Solar and Stellar AstrophysicsTransmission (telecommunications)Space and Planetary ScienceLimb darkeningAstrophysics::Earth and Planetary AstrophysicsF.2.2Impact parameterAstrophysics - Instrumentation and Methods for AstrophysicsTechniques: photometricAstrophysics - Earth and Planetary AstrophysicsMonthly Notices of the Royal Astronomical Society
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The GAPS programme at TNG

2020

Understanding stellar activity in M dwarfs is fundamental to improving our knowledge of the physics of stellar atmospheres and for planet search programmes. High levels of stellar activity (also with flare events) can cause additional variations in the stellar emission that contaminate the signal induced by a planet and that need to be corrected. The study of activity indicators in active stars can improve our capability of modelling this signal. Our aim is to understand the behaviour of stellar chromospheres of M stars, studying the more sensitive chromospheric activity indicators, characterising their variability and on finding the correlations among these indicators to obtain information…

Stars: activityPhysicsStars: flareStellar atmosphereFOS: Physical sciencesBalmer seriesAstronomy and AstrophysicsContext (language use)AstrophysicsStars: chromospheresSpectral linelaw.inventionStarssymbols.namesakeSettore FIS/05 - Astronomia E AstrofisicaAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary SciencePlanetlawsymbolsSolar and Stellar Astrophysics (astro-ph.SR)FlareLine (formation)Astronomy & Astrophysics
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Recent X-ray studies of stellar cycles and long-term variability

2006

AbstractWe discuss recent X-ray studies of stellar cycles and long-term variability.

Stars: activityPhysicsStars: magnetic fieldK-type main-sequence starStellar collisionFlare starAstronomyAstronomy and AstrophysicsStars: late-typeAstrophysicsTerm (time)T Tauri starSettore FIS/05 - Astronomia E AstrofisicaSpace and Planetary ScienceStars: atmosphereStellar mass lossStars: coronaeProceedings of the International Astronomical Union
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Statistical downscaling method of regional climate model results for hydrological modelling

2009

Statistical downscaling:NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences [Research Subject Categories]Bias correctionHistogram equalizationRegional climate model
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Multivariate nonparametric estimation of the Pickands dependence function using Bernstein polynomials

2017

Abstract Many applications in risk analysis require the estimation of the dependence among multivariate maxima, especially in environmental sciences. Such dependence can be described by the Pickands dependence function of the underlying extreme-value copula. Here, a nonparametric estimator is constructed as the sample equivalent of a multivariate extension of the madogram. Shape constraints on the family of Pickands dependence functions are taken into account by means of a representation in terms of Bernstein polynomials. The large-sample theory of the estimator is developed and its finite-sample performance is evaluated with a simulation study. The approach is illustrated with a dataset of…

Statistics and ProbabilityFOS: Computer and information sciencesMultivariate statisticsNONPARAMETRIC ESTIMATIONMULTIVARIATE MAX-STABLE DISTRIBUTION01 natural sciencesCopula (probability theory)Methodology (stat.ME)010104 statistics & probabilityStatisticsStatistics::Methodology0101 mathematicsExtreme-value copulaEXTREMAL DEPENDENCEEXTREMEVALUE COPULA[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentStatistics - MethodologyComputingMilieux_MISCELLANEOUSMathematics[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereApplied Mathematics010102 general mathematicsNonparametric statisticsEstimatorExtremal dependenceHEAVY RAINFALLBernstein polynomialBERNSTEIN POLYNOMIALS EXTREMAL DEPENDENCE EXTREMEVALUE COPULA HEAVY RAINFALL NONPARAMETRIC ESTIMATION MULTIVARIATE MAX-STABLE DISTRIBUTION PICKANDS DEPENDENCE FUNCTION13. Climate actionDependence functionStatistics Probability and UncertaintyMaximaSettore SECS-S/01 - StatisticaBERNSTEIN POLYNOMIALSPICKANDS DEPENDENCE FUNCTION
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EV-Scale Sterile Neutrino Search Using Eight Years of Atmospheric Muon Neutrino Data from the IceCube Neutrino Observatory

2020

Physical review letters 125(14), 141801 (1-11) (2020). doi:10.1103/PhysRevLett.125.141801

Sterile neutrinoPhysics::Instrumentation and DetectorsGeneral Physics and Astronomysterile [neutrino]01 natural sciencesCosmologyIceCubeHigh Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)Astronomi astrofysik och kosmologiSubatomic PhysicsTOOLAstronomy Astrophysics and Cosmologyatmosphere [muon]Muon neutrinoPhysicsPhysicsoscillation [neutrino]Astrophysics::Instrumentation and Methods for Astrophysicshep-phneutrino: sterilemass difference [neutrino]ddc:muon: atmosphereobservatoryHigh Energy Physics - PhenomenologyPhysique des particules élémentairessignatureParticle physicsdata analysis methodScale (ratio)Astrophysics::High Energy Astrophysical Phenomenaneutrino: mass differenceFOS: Physical sciences530IceCube Neutrino Observatorystatistical analysis0103 physical sciencesOSCILLATIONSddc:530010306 general physicshep-exICEHigh Energy Physics::Phenomenologyneutrino: mixing angleCONVERSIONPhysics and AstronomyCOSMOLOGYHigh Energy Physics::Experimentneutrino: oscillationBAYESIAN-INFERENCEmixing angle [neutrino]experimental results
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Chromospheric evaporation and phase mixing of Alfvén waves in coronal loops

2020

Phase mixing of Alfv\'en waves has been studied extensively as a possible coronal heating mechanism but without the full thermodynamic consequences considered self-consistently. It has been argued that in some cases, the thermodynamic feedback of the heating could substantially affect the transverse density gradient and even inhibit the phase mixing process. In this paper, we use MHD simulations with the appropriate thermodynamical terms included to quantify the evaporation following heating by phase mixing of Alfv\'en waves in a coronal loop and the effect of this evaporation on the transverse density profile. The numerical simulations were performed using the Lare2D code. We set up a 2D l…

Sun: generalatmosphere [Sun]Magnetohydrodynamics (MHD)corona [Sun]010504 meteorology & atmospheric sciencesDensity gradientThermodynamic equilibriumT-NDASEvaporationAstrophysics01 natural sciencesAlfvén wave0103 physical sciencesgeneral [Sun]QB AstronomyAstrophysics::Solar and Stellar AstrophysicsSun: oscillations010303 astronomy & astrophysicsQCQB0105 earth and related environmental sciencesPhysicsSun: coronaoscillations [Sun]Astronomy and AstrophysicsMechanicsCoronal loopDissipationTransverse planeQC PhysicsAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary SciencePhysics::Space PhysicsWavesMagnetohydrodynamicsBDCSun: atmosphere
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Land surface processes: description, theoretical approaches, and physical laws underlying their measurements

1991

For more than a decade, evidence has accumulated from climate model experiments that the exchanges of momentum, heat, and moisture at the surface are phenomena that strongly influence the dynamics and thermodynamics of the atmosphere.

Surface (mathematics)010504 meteorology & atmospheric sciencesMoisture[SDV]Life Sciences [q-bio]0207 environmental engineering02 engineering and technology01 natural sciencesPhysics::GeophysicsAtmosphereMomentum[SDV] Life Sciences [q-bio]GeographyHeat flux13. Climate actionLatent heatClimate modelStatistical physics020701 environmental engineeringPhysics::Atmospheric and Oceanic PhysicsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesPhysical law
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Climate variability and change : hydrological impacts

2006

TEMPERATURE DE SURFACE[SDE.MCG]Environmental Sciences/Global ChangesANALYSE EN COMPOSANTES PRINCIPALESVARIATION INTERANNUELLE[SDE.MCG] Environmental Sciences/Global Changes[ SDE.MCG ] Environmental Sciences/Global Changes[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyPLUIECHANGEMENT CLIMATIQUEHYDROCLIMATCORRELATIONINTERACTION OCEAN ATMOSPHEREEL NINO[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology
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