Search results for "Atmosphere"

showing 10 items of 673 documents

A Pluto-like radius and a high albedo for the dwarf planet Eris from an occultation

2011

The dwarf planet Eris is a trans-Neptunian object with an orbital eccentricity of 0.44, an inclination of 44 degrees and a surface composition very similar to that of Pluto. It resides at present at 95.7 astronomical units (1ĝ€‰au is the Earth-Sun distance) from Earth, near its aphelion and more than three times farther than Pluto. Owing to this great distance, measuring its size or detecting a putative atmosphere is difficult. Here we report the observation of a multi-chord stellar occultation by Eris on 6 November 2010 ut. The event is consistent with a spherical shape for Eris, with radius 1,163±6 kilometres, density 2.52±0.05 grams per cm 3 and a high visible geometric albedo,. No nitro…

010504 meteorology & atmospheric sciences[PHYS.ASTR.EP]Physics [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP]Ciencias FísicasAstronomical unitDwarf planet[SDU.ASTR.EP]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP]Orbital eccentricityAstrophysicsno utilizado01 natural sciences7. Clean energyOccultationdwarf planetAtmosphere0103 physical sciencesTrans-Neptunian object010303 astronomy & astrophysicsEris0105 earth and related environmental sciencesPhysicsMultidisciplinarybiologyPlutoAstronomybiology.organism_classificationPlutoAstronomíaEris13. Climate actionCIENCIAS NATURALES Y EXACTASalbedo
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Atmosphere-Space Interactions Monitor, Instrument and First Results

2019

The Atmosphere-Space Interaction Monitor (ASIM) is an observatory mounted outside the Columbus module on the International Space Station. It has been operational since April 13th, 2018. It contains two instruments: The Modular X- and Gamma-ray Sensor (MXGS) and The Modular Multispectral Imaging Array (MMIA). The objective of ASIM is to monitor thunderstorms and auroras, including lightning discharges, especially discharges upwards above thunderstorms. This paper presents the instrument package and some first results.

010504 meteorology & atmospheric sciencesbusiness.industryMultispectral imageModular designSpace (mathematics)01 natural sciencesLightningAtmosphereObservatory0103 physical sciencesInternational Space StationThunderstormEnvironmental sciencebusiness010303 astronomy & astrophysics0105 earth and related environmental sciencesRemote sensingIGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
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Volatile Profiles of Emissions from Different Activities Analyzed Using Canister Samplers and Gas Chromatography-Mass Spectrometry (GC/MS) Analysis: …

2017

The objective of present study was to identify volatile organic compounds (VOCs) emitted from several sources (fuels, traffic, landfills, coffee roasting, a street-food laboratory, building work, indoor use of incense and candles, a dental laboratory, etc.) located in Palermo (Italy) by using canister autosamplers and gas chromatography-mass spectrometry (GC-MS) technique. In this study, 181 VOCs were monitored. In the atmosphere of Palermo city, propane, butane, isopentane, methyl pentane, hexane, benzene, toluene, meta- and para-xylene, 1,2,4 trimethyl benzene, 1,3,5 trimethyl benzene, ethylbenzene, 4 ethyl toluene and heptane were identified and quantified in all sampling sites.

010504 meteorology & atmospheric sciencescanisterHealth Toxicology and Mutagenesislcsh:Medicine010501 environmental sciences01 natural sciencesEthylbenzenePalermoArticleGas Chromatography-Mass Spectrometrychemistry.chemical_compoundPropaneCitiesBenzeneindoor0105 earth and related environmental sciencesvolatile organic compounds (VOCs)Air PollutantsVolatile Organic Compoundscanister; indoor; volatile organic compounds (VOCs); PalermoAtmospherelcsh:RPublic Health Environmental and Occupational HealthButaneToluenePentaneIsopentanechemistryItalyEnvironmental chemistryEnvironmental scienceGas chromatography–mass spectrometryEnvironmental MonitoringInternational Journal of Environmental Research and Public Health
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Models and data analysis tools for the Solar Orbiter mission

2020

All authors: Rouillard, A. P.; Pinto, R. F.; Vourlidas, A.; De Groof, A.; Thompson, W. T.; Bemporad, A.; Dolei, S.; Indurain, M.; Buchlin, E.; Sasso, C.; Spadaro, D.; Dalmasse, K.; Hirzberger, J.; Zouganelis, I.; Strugarek, A.; Brun, A. S.; Alexandre, M.; Berghmans, D.; Raouafi, N. E.; Wiegelmann, T.; Pagano, P.; Arge, C. N.; Nieves-Chinchilla, T.; Lavarra, M.; Poirier, N.; Amari, T.; Aran, A.; Andretta, V.; Antonucci, E.; Anastasiadis, A.; Auchère, F.; Bellot Rubio, L.; Nicula, B.; Bonnin, X.; Bouchemit, M.; Budnik, E.; Caminade, S.; Cecconi, B.; Carlyle, J.; Cernuda, I.; Davila, J. M.; Etesi, L.; Espinosa Lara, F.; Fedorov, A.; Fineschi, S.; Fludra, A.; Génot, V.; Georgoulis, M. K.; Gilbe…

010504 meteorology & atmospheric sciencescorona [Sun]Solar windAstrophysics[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]7. Clean energy01 natural scienceslaw.inventionData acquisitionlawCoronal mass ejectiongeneral [Sun]QB AstronomyAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsSun: magnetic fieldsQCComputingMilieux_MISCELLANEOUSQBPhysics[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]3rd-DASenergetic particlesSolar windCORONAL MASS EJECTIONSnumerical modelingmagnetic fields [Sun]solar windPhysics::Space PhysicsSystems engineeringAstrophysics::Earth and Planetary Astrophysicsatmosphere [Sun]fundamental parameters [Sun]Sun: generalFORCE-FREE FIELDSun: fundamental parametersSolar radiusContext (language use)STREAMER STRUCTUREOrbiter0103 physical sciencesOPTIMIZATION APPROACH[SDU.ASTR.SR] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]POLARIZATION MEASUREMENTSSun: Solar wind3-DIMENSIONAL STRUCTURE0105 earth and related environmental sciencesSpacecraftbusiness.industrySun: corona[SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]solar coronaMAGNETIC-FLUX ROPESAstronomy and AstrophysicsSHOCKS DRIVEN115 Astronomy Space scienceSPECTRAL-LINESQC Physics13. Climate actionSpace and Planetary SciencebusinessHeliosphereSun: atmosphereELECTRON-DENSITY
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Evaluation of different methods to retrieve the hemispherical downwelling irradiance in the thermal infrared region for field measurements

2013

International audience; The thermal infrared hemispherical downwelling irradiance (HDI) emitted by the atmosphere and surrounding elements contributes through reflection to the signal measured over an observed surface by remote sensing. This irradiance must be estimated in order to obtain accurate values of land-surface temperature (LST). There are some fast methods to measure the HDI with a single measurement pointing to the sky at a specified viewing direction, but these methods require completely cloud-free or cloudy skies, and they do not account for the radiative contribution of surrounding elements. Another method is the use of a diffuse reflectance panel (usually, a rough gold-coated…

010504 meteorology & atmospheric sciencesmedia_common.quotation_subject[SDV]Life Sciences [q-bio]0211 other engineering and technologiesIrradiance02 engineering and technologyAtmospheric sciences01 natural sciencesBANDAtmosphereRadiative transferEmissivityElectrical and Electronic EngineeringTEMPERATURE021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingmedia_commonRadiometerMODTRANdiffuse reflectance panelAngular measurementsthermal infrared (TIR)EMISSIVITYSOILShemispherical downwelling radiance13. Climate actionSkyfield measurements[SDE]Environmental SciencesReflection (physics)General Earth and Planetary SciencesEnvironmental science
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Evidence for marine biogenic influence on summertime Arctic aerosol

2017

International audience; We present vertically-resolved observations of aerosol composition during pristine summertime Arctic background conditions. The methansulfonic acid (MSA)-to-sulfate ratio peaked near the surface (mean 0.10), indicating a contribution from ocean-derived biogenic sulfur. Similarly, the organic aerosol (OA)-to-sulfate ratio increased towards the surface (mean 2.0). Both MSA-to-sulfate and OA-to-sulfate ratios were significantly correlated with FLEXPART-WRF-predicted airmass residence time over open water, indicating marine influenced OA. External mixing of sea salt aerosol from a larger number fraction of organic, sulfate and amine-containing particles, together with lo…

010504 meteorology & atmospheric sciencesmethanesulfonic acidchemistry.chemical_element010501 environmental sciencesAtmospheric sciences01 natural sciencesMethanesulfonic acidArctic aerosolchemistry.chemical_compoundmarine organic aerosolCloud condensation nucleiSulfateSea salt aerosol0105 earth and related environmental sciences[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphereaerosol mass spectrometrySulfurArctic summerAerosolGeophysicsArcticchemistry13. Climate actionGeneral Earth and Planetary SciencesAerosol mass spectrometryEnvironmental sciencesecondary organic aerosol
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Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.

2019

Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from TOA radiance data, e.g., as observed by an optical satellite. Coupled leaf-canopy-atmosphere Radiative Transfer Models (RTMs) allow linking vegetation variables directly to the at-sensor TOA radiance measured. Global Sensitivity Analysis (GSA) of RTMs enables the computation of the total contribution of each input variable to the output variance. We determined the impacts of the leaf-canopy-atmosphere variables into TOA radiance using the GSA to gain insights into retrievable variables. The leaf and canopy RTM PROSAIL was coupled with…

010504 meteorology & atmospheric sciencesradiative transfer models0211 other engineering and technologiesemulation02 engineering and technologytop-of-atmosphere radiance data01 natural sciencesEmulation; Global sensitivity analysis; Machine learning; MODTRAN; PROSAIL; Radiative transfer models; Retrieval; Sentinel-2; Top-of-atmosphere radiance dataKrigingRange (statistics)Radiative transferLeaf area indexlcsh:Scienceretrieval021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMODTRANPROSAILMODTRANAtmospheric correctionradiative transfer models; global sensitivity analysis; emulation; machine learning; top-of-atmosphere radiance data; PROSAIL; MODTRAN; retrieval; Sentinel-2machine learningglobal sensitivity analysisLookup tableRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QSentinel-2Remote sensing
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Identification of processes that control the stable isotope composition of rainwater in the humid tropical West-Central Africa.

2020

12 pages; International audience; This study interprets 11 years (2006 to 2016) and 6 months (March to August in 2017) of respectively monthly and daily isotopic (δD and δ18O) monitoring of rain at Douala (Cameroon), a humid tropical station in Western Africa. The main scope is to analyze the climate controls on precipitation isotopes at different timescales. Firstly, we examine the annual cycles of δ18O. Over the 11 years of survey, the annual cycle exhibits a W shape that is quite reproducible from year to year, with two minima in spring and autumn periods. Based on back trajectory calculations and remote sensing observations of water vapor isotopic composition, we show that the observed …

010504 meteorology & atmospheric sciencesδ18O0207 environmental engineeringHumid subtropical climate02 engineering and technologyAtmospheric sciencesAir back trajectory01 natural sciencesGPCP precipitation[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/GeochemistrySpring (hydrology)Precipitation020701 environmental engineeringδ18OComputingMilieux_MISCELLANEOUSAir mass0105 earth and related environmental sciencesWater Science and TechnologyWater vapor[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmospheregeographygeography.geographical_feature_categoryStable isotope ratioAnnual cycleConvective activity[SDU]Sciences of the Universe [physics]13. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyEnvironmental scienceWater vapor
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Insolation cycles as a major control equatorial Indian Ocean primary production

1997

Analysis of a continuous sedimentary record taken in the Maldives indicates that strong primary production fluctuations (70 to 390 grams of carbon per square meter per year) have occurred in the equatorial Indian Ocean during the past 910,000 years. The record of primary production is coherent and in phase with the February equatorial insolation, whereas it shows diverse phase behavior with δ 18 O, depending on the orbital frequency (eccentricity, obliquity, or precession) examined. These observations imply a direct control of productivity in the equatorial oceanic system by insolation. In the equatorial Indian Ocean, productivity is driven by the wind intensity of westerlies, which is rel…

010504 meteorology & atmospheric sciencesδ18Omedia_common.quotation_subject[SDU.STU]Sciences of the Universe [physics]/Earth SciencesForcing (mathematics)010502 geochemistry & geophysics01 natural sciencesPhysics::Geophysics100000-year problem14. Life underwaterEccentricity (behavior)Physics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesmedia_common[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereMultidisciplinaryEquatorial wavesWesterliesOceanographyProductivity (ecology)13. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyPhysics::Space PhysicsPrecessionAstrophysics::Earth and Planetary Astrophysics[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/PaleontologyGeology
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Causes and consequences of past and projected Scandinavian summer temperatures, 500-2100 AD

2011

Tree rings dominate millennium-long temperature reconstructions and many records originate from Scandinavia, an area for which the relative roles of external forcing and internal variation on climatic changes are, however, not yet fully understood. Here we compile 1,179 series of maximum latewood density measurements from 25 conifer sites in northern Scandinavia, establish a suite of 36 subset chronologies, and analyse their climate signal. A new reconstruction for the 1483–2006 period correlates at 0.80 with June–August temperatures back to 1860. Summer cooling during the early 17th century and peak warming in the 1930s translate into a decadal amplitude of 2.9°C, which agrees with existin…

010506 paleontologyAtmospheric Science010504 meteorology & atmospheric sciencesAtmospheric circulationClimate ChangeClimate changelcsh:MedicineForcing (mathematics)Scandinavian and Nordic Countries01 natural sciencesAtmospheric CirculationBiospherePaleoclimatologyEnvironmental GeographyAtmospheric DynamicsPaleoclimatologylcsh:Science0105 earth and related environmental sciencesClimatologySeries (stratigraphy)MultidisciplinaryGeographyAtmospherelcsh:RTemperature/dk/atira/pure/core/subjects/geography15. Life on landSea surface temperatureGeographyPhysical Geography13. Climate actionClimate RecordClimatologyPeriod (geology)Earth SciencesClimate modellcsh:QSeasonsEnvironmental SciencesResearch ArticleClimate ModelingPLOS One
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