Search results for "ERT"

showing 10 items of 21537 documents

Study of a sample of faint Be stars in the exofield of CoRoT

2013

International audience; Context. Be stars are probably the most rapid rotators among stars in the main sequence (MS) and, as such, are excellent candidates to study the incidence of the rotation on the characteristics of their non-radial pulsations, as well as on their internal structure. Pulsations are also thought to be possible mechanisms that help the mass ejection needed to build up the circumstellar disks of Be stars.Aims. The purpose of this paper is to identify a number of faint Be stars observed with the CoRoT satellite and to determine their fundamental parameters, which will enable us to study their pulsation properties as a function of the location in the HR diagram and to searc…

010504 meteorology & atmospheric sciencesBe starHertzsprung–Russell diagramK-type main-sequence starstars: emission-lineAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics01 natural sciencesSpectral lineBlue stragglersymbols.namesakestars: rotation0103 physical sciencesAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesPhysics[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]AstronomyBeAstronomy and Astrophysicsstars: early-typeHerbig Ae/Be starT Tauri starStars[SDU]Sciences of the Universe [physics]Space and Planetary Sciencesymbolsstars: fundamental parametersstars: oscillationsAstrophysics::Earth and Planetary Astrophysicsbinaries: spectroscopicAstronomy & Astrophysics
researchProduct

Environmental and biological factors are joint drivers of mercury biomagnification in subarctic lake food webs along a climate and productivity gradi…

2021

Subarctic lakes are getting warmer and more productive due to the joint effects of climate change and intensive land-use practices (e.g. forest clear-cutting and peatland ditching), processes that potentially increase leaching of peat- and soil-stored mercury into lake ecosystems. We sampled biotic communities from primary producers (algae) to top consumers (piscivorous fish), in 19 subarctic lakes situated on a latitudinal (69.0-66.5 degrees N), climatic (+3.2 degrees C temperature and +30% precipitation from north to south) and catchment land-use (pristine to intensive forestry areas) gradient. We first tested how the joint effects of climate and productivity influence mercury biomagnific…

010504 meteorology & atmospheric sciencesBiomagnificationTROPHIC POSITIONmaankäyttö010501 environmental sciencesMETHYLMERCURY01 natural sciencesFood chainBiological FactorsONTARIO LAKESCHAIN STRUCTUREClimate changeympäristömyrkytWaste Management and DisposalLand-useApex predatorTrophic levelkalatStable isotopes2. Zero hungerFRESH-WATEREcologyFishesvesiekosysteemitBIOACCUMULATIONselkärangattomatPollutionSubarctic climateclimate changeProductivity (ecology)Environmental MonitoringFood chain lengthEnvironmental EngineeringFood Chainelohopeachemistry.chemical_elementstable isotopeskasautuminenWHITEFISHland-useEnvironmental ChemistryAnimalsravintoketjutEcosystem1172 Environmental sciences0105 earth and related environmental sciencesfishfood chain lengthLake ecosystemMercury15. Life on landilmastonmuutoksetCHARR SALVELINUS-ALPINUSinvertebratesInvertebratesMercury (element)LakesFishchemistryisotooppianalyysi13. Climate actionEnvironmental scienceMARINEWater Pollutants Chemical
researchProduct

Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

2020

Remote sensing optical sensors onboard operational satellites cannot have high spectral, spatial and temporal resolutions simultaneously. In addition, clouds and aerosols can adversely affect the signal contaminating the land surface observations. We present a HIghly Scalable Temporal Adaptive Reflectance Fusion Model (HISTARFM) algorithm to combine multispectral images of different sensors to reduce noise and produce monthly gap free high resolution (30 m) observations over land. Our approach uses images from the Landsat (30 m spatial resolution and 16 day revisit cycle) and the MODIS missions, both from Terra and Aqua platforms (500 m spatial resolution and daily revisit cycle). We implem…

010504 meteorology & atmospheric sciencesComputer science0208 environmental biotechnologyMultispectral imageSoil Science02 engineering and technology01 natural sciencesArticleComputers in Earth SciencesImage resolution0105 earth and related environmental sciencesRemote sensingPropagation of uncertaintyNoise (signal processing)GeologyKalman filterData fusionSensor fusion020801 environmental engineeringMODIS13. Climate actionScalabilityGap fillingKalman filterLandsatSmoothingSmoothingRemote Sensing of Environment
researchProduct

Stochastic Galerkin method for cloud simulation

2018

AbstractWe develop a stochastic Galerkin method for a coupled Navier-Stokes-cloud system that models dynamics of warm clouds. Our goal is to explicitly describe the evolution of uncertainties that arise due to unknown input data, such as model parameters and initial or boundary conditions. The developed stochastic Galerkin method combines the space-time approximation obtained by a suitable finite volume method with a spectral-type approximation based on the generalized polynomial chaos expansion in the stochastic space. The resulting numerical scheme yields a second-order accurate approximation in both space and time and exponential convergence in the stochastic space. Our numerical results…

010504 meteorology & atmospheric sciencesComputer scienceuncertainty quantificationQC1-999cloud dynamicsFOS: Physical sciencesCloud simulation65m15010103 numerical & computational mathematics01 natural sciencespattern formationMeteorology. ClimatologyFOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematicsStochastic galerkin0105 earth and related environmental sciencesnavier-stokes equationsPhysics65m2565l05Numerical Analysis (math.NA)65m06Computational Physics (physics.comp-ph)stochastic galerkin method35l4535l65finite volume schemesQC851-999Physics - Computational Physicsimex time discretization
researchProduct

Geochemical insights into the relationship of rock varnish and adjacent mineral dust fractions

2020

Abstract Rock varnishes are μm-thin, dark, manganese(Mn)-rich crusts that accrete in the order of few μm/ka on weathering-resistant lithologies. Although these crusts can form in all climates, they are best known in arid to semi-arid settings. Aeolian dust is understood as a major contributor to the distinct trace metal and REE enrichments in rock varnish. However, the exact proportions of abiotic and biotic formation mechanisms that may explain the oxidation-reactions of Mn2+ to Mn4+, present as Mn oxyhydroxides in the varnish, are still a matter of ongoing debate. We present here the first systematic study of trace element enrichment processes between the uppermost layer of the varnish se…

010504 meteorology & atmospheric sciencesDesert varnishVarnishTrace elementGeochemistryGeologyMineral dust010502 geochemistry & geophysics01 natural sciencesGeochemistry and Petrologyvisual_artvisual_art.visual_art_mediumAeolian processesTrace metalClay mineralsQuartzGeology0105 earth and related environmental sciencesChemical Geology
researchProduct

Land Use Affects Carbon Sources to the Pelagic Food Web in a Small Boreal Lake

2016

Small humic forest lakes often have high contributions of methane-derived carbon in their food webs but little is known about the temporal stability of this carbon pathway and how it responds to environmental changes on longer time scales. We reconstructed past variations in the contribution of methanogenic carbon in the pelagic food web of a small boreal lake in Finland by analyzing the stable carbon isotopic composition (δ13C values) of chitinous fossils of planktivorous invertebrates in sediments from the lake. The δ13C values of zooplankton remains show several marked shifts (approx. 10 ‰), consistent with changes in the proportional contribution of carbon from methane-oxidizing bacteri…

010504 meteorology & atmospheric sciencesDrainage basinMarine and Aquatic SciencesSocial Scienceslcsh:MedicinePlant SciencemaankäyttöForests580 Plants (Botany)01 natural sciences540 Chemistrylcsh:ScienceFinlandSedimentary GeologyMultidisciplinarygeography.geographical_feature_categoryGeographyEcologyδ13CEcologyPlant AnatomyGeologyAgricultureGeneral MedicinePlantsPlanktonTerrestrial EnvironmentsFood webpelagic food webPollenGeneral Agricultural and Biological SciencesResearch ArticleFreshwater Environments010506 paleontologyFood ChainAlgaeta1172chemistry.chemical_elementcarbon sourcesHuman GeographyZooplanktonZooplanktonEcosystemsGeneral Biochemistry Genetics and Molecular BiologyCarbon cycleAnimalsHumansPetrology0105 earth and related environmental sciencesgeographyEcology and Environmental Scienceslcsh:ROrganismsAquatic EnvironmentsBiology and Life Sciencesland usePelagic zoneBodies of Water15. Life on landInvertebratesCarbonLakesDaphniachemistryBoreal13. Climate actionPhytoplanktonEarth Sciences570 Life sciences; biologyta1181Sedimentlcsh:Qsmall boreal lakesCarbonPLoS ONE
researchProduct

Using Optical and Thermal Data for Tracking Snowmelt Processes in Alpine Area

2019

Alpine catchments represent a fundamental reservoir of fresh water at midlatitude. Remote sensing offers the opportunity to estimate snow properties in the optical, thermal and microwave domains. In particular, the possibility to estimate snow density from remote sensing is relevant and still represents a great challenge for the remote sensing scientific community. Since changes of snow density and liquid water content occur continuously in the snowpack, spatial and temporal patterns of optical and thermal data can give information about snowmelt processes. The main goal of this study is to evaluate if snow thermal inertia can be an indicator of snowmelt processes and to evaluate its relati…

010504 meteorology & atmospheric sciencesFIS/06 - FISICA PER IL SISTEMA TERRA E PER IL MEZZO CIRCUMTERRESTREGEO/04 - GEOGRAFIA FISICA E GEOMORFOLOGIA0207 environmental engineeringGEO/12 - OCEANOGRAFIA E FISICA DELL'ATMOSFERA02 engineering and technologySnowpackTracking (particle physics)Snow01 natural sciencesGEO/11 - GEOFISICA APPLICATAGEO/10 - GEOFISICA DELLA TERRA SOLIDARemote sensing (archaeology)Liquid water contentMiddle latitudesSnowmeltThermalEnvironmental science020701 environmental engineeringRemote Sensing Snow Thermal Inertia Snowmelt Snow densitySettore ICAR/06 - Topografia E Cartografia0105 earth and related environmental sciencesRemote sensing
researchProduct

GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment

2019

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. …

010504 meteorology & atmospheric sciencesGeoneutrinogeophysical uncertaintieInverse transform samplingFOS: Physical sciences01 natural sciencesBayesian methodUpper middle and lower crustStandard deviationNOSouth China BlockmiddlePhysics - GeophysicsMonte Carlo stochastic optimizationGOCE data gravimetric inversionGeophysical uncertaintiesGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Bayesian method; geophysical uncertainties; GOCE data gravimetric inversion; Monte Carlo stochastic optimization; South China Block; upper middle and lower crustImage resolution0105 earth and related environmental sciencesSubdivisionJiangmen Underground Neutrino Observatoryupper and middle and lower crustbusiness.industrySettore FIS/01 - Fisica SperimentaleCrustupperGeodesy[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]Geophysics (physics.geo-ph)and lower crustDepth soundingGeophysics13. Climate actionSpace and Planetary SciencebusinessGeologyBayesian method geophysical uncertainties GOCE data gravimetric inversion Monte Carlo stochastic optimization South China Blockupper and middle and lower crust
researchProduct

Global modeling of the lower three polyads of PH_{3} Preliminary results

2009

International audience; In order to model the high-resolution infrared spectrum of the phosphine molecule in the 3 mu m region, a global approach involving the lower three polyads of the molecule (Dyad, Pentad and Octad) as been applied using an effective hamiltonian in the form of irreducible tensors. This model allowed to describe all the 15 vibrational states involved and to consider explicitly all relevant ro-vibrational interactions that cannot be accounted for by conventional perturbation approaches. 2245 levels (up to J=14) observed through transitions arising from 34 cold and hot bands including all available existing data as well as new experimental data have been fitted simultaneo…

010504 meteorology & atmospheric sciencesInfraredNear infraredPositionsHigh resolutionPerturbation (astronomy)01 natural sciencessymbols.namesakeGlobal modeling0103 physical sciencesMoleculePH_{3}Physical and Theoretical Chemistry33.20.Ea 33.20.VqSpectroscopy0105 earth and related environmental sciences[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Physics010304 chemical physicsNear-infrared spectroscopyAtomic and Molecular Physics and OpticsDipole[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]IntensitiessymbolsVibrational polyadsAtomic physicsHigh-resolutionHamiltonian (quantum mechanics)Global modelingPhosphine
researchProduct

Toward a Comprehensive Dam Monitoring: On-Site and Remote-Retrieved Forcing Factors and Resulting Displacements (GNSS and PS–InSAR)

2021

Many factors can influence the displacements of a dam, including water level variability and environmental temperatures, in addition to the dam composition. In this work, optical-based classification, thermal diachronic analysis, and a quasi-PS (Persistent Scatter) Interferometric SAR technique have been applied to determine both forcing factors and resulting displacements of the crest of the Castello dam (South Italy) over a one-year time period. The dataset includes Sentinel-1A images acquired in Interferometric Wide swath mode using the Terrain Observation with Progressive Scans SAR (TOPSAR); Landsat 8 Thermal Infrared Sensor (TIRS) thermal images, and Global Navigation Satellite System …

010504 meteorology & atmospheric sciencesLandsat TIRSScience0211 other engineering and technologiesTerrainSatellite system02 engineering and technologyForcing (mathematics)01 natural sciencesPS–InSARInterferometric synthetic aperture radarDam displacements Full graph GNSS Landsat TIRS PS–InSAR Sentinel-1A TOPSARSentinel-1A TOPSAR021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingdam displacementsGNSSQfull graphdam displacements; GNSS; Sentinel-1A TOPSAR; Landsat TIRS; PS–InSAR; full graphWater levelInterferometryGNSS applicationsGeneral Earth and Planetary SciencesSatelliteGeologySettore ICAR/06 - Topografia E CartografiaRemote Sensing
researchProduct