Search results for "QC"

showing 10 items of 3477 documents

Single particle characterization of black carbon aerosols at a tropospheric alpine site in Switzerland

2010

The refractory black carbon (rBC) mass, size distribution (190–720 nm) and mixing state in sub-micron aerosols were characterized from late February to March 2007 using a single particle incandescence method at the high alpine research station Jungfraujoch (JFJ), Switzerland (46.33° N, 7.59° E, 3580 m a.s.l.). JFJ is a ground based location, which is at times exposed to continental free tropospheric air. A median mass absorption coefficient (MAC) of 10.2±3.2 m<sup>2</sup> g<sup>−1</sup> at λ=630 nm was derived by comparing single particle incandescence measurements of black carbon mass with continuous measurements of absorption coefficient. This…

Atmospheric Science010504 meteorology & atmospheric sciencesChemistryblack carbon MAAP SP2Atmosphärische Spurenstoffe010501 environmental sciences01 natural scienceslcsh:QC1-999Trace gasAerosollcsh:ChemistryTroposphereAtmospherelcsh:QD1-99913. Climate actionEnvironmental chemistryIncandescencePrecipitationMass attenuation coefficient/dk/atira/pure/subjectarea/asjc/1900/1902lcsh:PhysicsAir mass0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
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Observations of atmospheric chemical deposition to high Arctic snow

2017

Abstract. Rapidly rising temperatures and loss of snow and ice cover have demonstrated the unique vulnerability of the high Arctic to climate change. There are major uncertainties in modelling the chemical depositional and scavenging processes of Arctic snow. To that end, fresh snow samples collected on average every 4 days at Alert, Nunavut, from September 2014 to June 2015 were analyzed for black carbon, major ions, and metals, and their concentrations and fluxes were reported. Comparison with simultaneous measurements of atmospheric aerosol mass loadings yields effective deposition velocities that encompass all processes by which the atmospheric species are transferred to the snow. It is…

Atmospheric Science010504 meteorology & atmospheric sciencesClimate changeCarbon black010501 environmental sciencesAtmospheric sciencesSnow01 natural scienceslcsh:QC1-999AerosolSedimentary depositional environmentlcsh:ChemistryDeposition (aerosol physics)Arcticlcsh:QD1-99913. Climate actionClimatologyEnvironmental scienceScavenginghuman activitieslcsh:Physics0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
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Aerosol influences on low-level clouds in the West African monsoon

2019

Abstract. Low-level clouds (LLC) cover a wide area of southern West Africa (SWA) during the summer monsoon months, and have an important cooling effect on the regional climate. Previous studies of these clouds have focused on modelling and remote sensing via satellite. We present the first comprehensive set of regional, in situ measurements of cloud microphysics, taken during June – July 2016, as part of the DACCIWA (Dynamics-Aerosol-Chemistry-Clouds Interactions in West Africa) campaign, assessing spatial and temporal variation in the properties of these clouds. LLC developed overnight and mean cloud cover peaked a few hundred kilometres inland around 10:00 local solar time (LST), before c…

Atmospheric Science010504 meteorology & atmospheric sciencesCloud coverPopulationclouds[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology010502 geochemistry & geophysicsMonsoonAtmospheric sciences01 natural sciencescomplex mixtureslcsh:Chemistrylow level cloudsddc:550Cloud condensation nuclei1902WolkenphysikeducationSouthern Hemisphere0105 earth and related environmental sciencesOrographic lifteducation.field_of_studyaerosol effectmicropyhsicslcsh:QC1-999AerosolEarth scienceslcsh:QD1-99913. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologySolar timeEnvironmental sciencesense organs/dk/atira/pure/subjectarea/asjc/1900/1902lcsh:Physics
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Multi-point galactic cosmic ray measurements between 1 and 4.5 AU over a full solar cycle

2019

The radiation data collected by the Standard Radiation Environment Monitor (SREM) aboard ESA missions INTEGRAL (INTErnational Gamma-Ray Astrophysics Laboratory), Rosetta, Herschel, Planck and Proba-1, and by the high-energy neutron detector (HEND) instrument aboard Mars Odyssey, are analysed with an emphasis on characterising galactic cosmic rays (GCRs) in the inner heliosphere. A cross calibration between all sensors was performed for this study, which can also be used in subsequent works. We investigate the stability of the SREM detectors over long-term periods. The radiation data are compared qualitatively and quantitatively with the corresponding solar activity. Based on INTEGRAL and Ro…

Atmospheric Science010504 meteorology & atmospheric sciencesCometFluxCosmic rayRadiation01 natural sciencessymbols.namesake0103 physical sciencesEarth and Planetary Sciences (miscellaneous)Neutron detectionPlancklcsh:Science010303 astronomy & astrophysics0105 earth and related environmental sciencesPhysicslcsh:QC801-809AstronomyGeologyAstronomy and Astrophysicslcsh:QC1-999Solar cyclelcsh:Geophysics. Cosmic physics13. Climate actionSpace and Planetary Sciencesymbolslcsh:QHeliospherelcsh:PhysicsAnnales Geophysicae
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Traitement de données RGB et Lidar à extrêmement haute résolution: retombées de la compétition de fusion de données 2015 de l'IEEE GRSS - Partie A / …

2016

International audience; In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource studies. The 2015 edition of the contest proposed a multiresolution and multisensorial challenge involving extremely high-resolution RGB images and a three-dimensional (3-D) LiDAR point cloud. The competition was framed in two parallel tracks, considering 2-D and 3-D products, respectively. In this paper, we discuss the sci…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer scienceMULTIMODAL-DATA FUSIONGeophysics. Cosmic physics0211 other engineering and technologies02 engineering and technologyCONTESTcomputer.software_genre01 natural sciencesOutcome (game theory)LIDARTraitement des imagesIMAGE ANALYSIS AND DATA FUSION (IADF)DEEP NEURAL NETWORKSDeep neural networksTraitement du signal et de l'imageMULTIRESOLUTION910 Geography & travelMultiresolutionGround truthLANDCOVER CLASSIFICATIONIMAGE AERIENNE1903 Computers in Earth SciencesBenchmarkingVision par ordinateur et reconnaissance de formesOcean engineering10122 Institute of GeographyLidarDeep neural networksData miningExtremely high spatial resolutionMultimodal-data fusionLiDARComputers in Earth Sciences; Atmospheric ScienceImage analysis and data fusion (IADF)EXTREMELY HIGH SPATIAL RESOLUTIONCLASSIFICATIONTRAITEMENT IMAGE1902 Atmospheric ScienceAPPRENTISSAGE STATISTIQUEComputers in Earth SciencesTELEDETECTIONSynthèse d'image et réalité virtuelleTC1501-1800021101 geological & geomatics engineering0105 earth and related environmental sciencesLandcover classificationmultiresolution-[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]QC801-809Intelligence artificielleMULTISOURCESensor fusionRGB color modelcomputerMultisource
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A network of magnetometers for multi-scale urban science and informatics

2018

The magnetic signature of an urban environment is investigated using a geographically distributed network of fluxgate magnetometers deployed in and around Berkeley, California. The system hardware and software are described and initial operations of the network are reported. The sensors measure vector magnetic fields at a 3960 Hz sample rate and are sensitive to 0.1 nT/Hz. Data from individual stations are synchronized to ±120 µs using global positioning system (GPS) and computer system clocks and automatically uploaded to a central server. We present the initial observations of the network and preliminary efforts to correlate sensors. A wavelet analysis is used to stud…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer sciencebusiness.industryMagnetometerlcsh:QC801-809GeologyOceanography01 natural sciencesSignalFluxgate compasslaw.inventionlcsh:Geophysics. Cosmic physicsSoftwareWaveletlaw0103 physical sciencesRange (statistics)Global Positioning System010306 general physicsScale (map)business0105 earth and related environmental sciencesRemote sensingGeoscientific Instrumentation, Methods and Data Systems
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Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions

2021

The estimation of biophysical variables from remote sensing data raises important challenges in terms of the acquisition technology and its limitations. In this way, some vegetation parameters, such as chlorophyll fluorescence, require sensors with a high spectral resolution that constrains the spatial resolution while significantly increasing the subpixel land-cover heterogeneity. Precisely, this spatial variability often makes that rather different canopy structures are aggregated together, which eventually generates important deviations in the corresponding parameter quantification. In the context of the Copernicus program (and other related Earth Explorer missions), this article propose…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer sciencevegetation mappingGeophysics. Cosmic physics0211 other engineering and technologiesContext (language use)02 engineering and technologyLand coverearthSentinel-2 (S2)01 natural sciencessentinel-3 (S3)FLEXcharacterizationComputers in Earth SciencesImage resolutionTC1501-1800spatial resolutionBiophysical productsSentinel-3 (S3)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingQC801-809biophysical productsbiological system modelingSubpixel renderingSpatial heterogeneityOcean engineeringinstrumentsfluorescence EXplorer (FLEX)Spatial ecologyflexible printed circuitssentinel-2 (S2)Spatial variabilityspatial distributionssensor phenomena
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In situ observations of new particle formation in the tropical upper troposphere: the role of clouds and the nucleation mechanism

2011

New particle formation (NPF), which generates nucleation mode aerosol, was observed in the tropical Upper Troposphere (UT) and Tropical Tropopause Layer (TTL) by in situ airborne measurements over South America (January–March 2005), Australia (November–December 2005), West Africa (August 2006) and Central America (2004–2007). Particularly intense NPF was found at the bottom of the TTL. Measurements with a set of condensation particle counters (CPCs) with different <i>d</i><sub>p50</sub> (50% lower size detection efficiency diameter or "cut-off diameter") were conducted on board the M-55 <i>Geophysica</i> in the altitude range of 12.0–20.5 km and on board …

Atmospheric Science010504 meteorology & atmospheric sciencesDISPERSION MODEL FLEXPARTaerosolnucleationNucleationclouds010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencestropicsTropospherelcsh:Chemistrynew particle formationddc:550Cloud condensation nucleiLife ScienceStratosphere0105 earth and related environmental sciencesGeophysica[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph][SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereIce cloudAtmosphärische SpurenstoffeFalconlcsh:QC1-999AerosolJAQUEOUS SULFURIC-ACIDlcsh:QD1-99913. Climate actionClimatologyupper troposphereEnvironmental scienceOutflowAEROSOL NUCLEATIONLOWER STRATOSPHERETropopauselcsh:PhysicsGALACTIC COSMIC-RAYS
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A microphysics guide to cirrus clouds - Part 1: Cirrus types

2016

Abstract. The microphysical and radiative properties of cirrus clouds continue to be beyond understanding and thus still represent one of the largest uncertainties in the prediction of the Earth's climate (IPCC, 2013). Our study aims to provide a guide to cirrus microphysics, which is compiled from an extensive set of model simulations, covering the broad range of atmospheric conditions for cirrus formation and evolution. The model results are portrayed in the same parameter space as field measurements, i.e., in the Ice Water Content-Temperature (IWC-T) parameter space. We validate this cirrus analysis approach by evaluating cirrus data sets from 17 aircraft campaigns, conducted in the last…

Atmospheric Science010504 meteorology & atmospheric sciencesIce crystalsMicrophysics010502 geochemistry & geophysicsAtmospheric sciences01 natural scienceslcsh:QC1-999Ice waterlcsh:Chemistrylcsh:QD1-999ddc:550Radiative transferEnvironmental scienceCirrusMixed phaselcsh:Physics0105 earth and related environmental sciences
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A new technique for observationally derived boundary conditions for space weather

2018

This research has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 647214). D.H.M. would like to thank STFC and the Leverhulme Trust for their financial support. ARY was supported by STFC consortium grant ST/N000781/1 to the universities of Dundee and Durham. Context.  In recent years, space weather research has focused on developing modelling techniques to predict the arrival time and properties of coronal mass ejections (CMEs) at the Earth. The aim of this paper is to propose a new modelling technique suitable for the next generation of Space Weather predictive tools that is both efficie…

Atmospheric Science010504 meteorology & atmospheric sciencesMHDNDASWeather forecastingFluxFOS: Physical sciencesContext (language use)Space weatherlcsh:QC851-999computer.software_genre01 natural sciencesSolar Corona0103 physical sciencesCMECoronal mass ejectionQB AstronomyAstrophysics::Solar and Stellar AstrophysicsQA MathematicsBoundary value problemQA010303 astronomy & astrophysicsR2CSolar and Stellar Astrophysics (astro-ph.SR)QB0105 earth and related environmental sciencesPhysicssolar CoronaMechanicsMagnetic fluxAstrophysics - Solar and Stellar Astrophysics13. Climate actionSpace and Planetary SciencePhysics::Space Physicslcsh:Meteorology. ClimatologyMagnetohydrodynamicsBDCcomputerJournal of Space Weather and Space Climate
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