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showing 10 items of 23513 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
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Quantifying and easing conflicting goals between interest groups in natural resource planning

2019

Management of natural resources at the regional level is a compromise between a variety of objectives and interests. At the local level, management of the forests depends upon the ownership structure, with forest owners using their forests as they see fit. A potential conflict occurs if the forest owners’ management decisions are counter to the interests of society in general or the industry that relies on the forest resource as their raw material. We explore the intensity of this conflict at the regional level in several large boreal forest production landscapes. To explore the conflict, we investigate three main interest groups: (i) economically oriented forest owners; (ii) industry grou…

010504 meteorology & atmospheric sciencesCompromisemedia_common.quotation_subjecttehokkuusconflict management010501 environmental sciences01 natural sciencesmultifunctionalityoptimointiboreal forestEnvironmental planningFinlandbiodiversity0105 earth and related environmental sciencesmedia_commonGlobal and Planetary ChangeEcologyforest planningforestryForestrykonfliktit15. Life on landluonnon monimuotoisuusmetsätNatural resourcebiodiversiteettiVariety (cybernetics)boreaalinen vyöhykeekosysteemipalvelutefficiencyBusinessmetsänhoitoecosystem servicesoptimizationCanadian Journal of Forest Research
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Automatic emulator and optimized look-up table generation for radiative transfer models

2017

This paper introduces an automatic methodology to construct emulators for costly radiative transfer models (RTMs). The proposed method is sequential and adaptive, and it is based on the notion of the acquisition function by which instead of optimizing the unknown RTM underlying function we propose to achieve accurate approximations. The Automatic Gaussian Process Emulator (AGAPE) methodology combines the interpolation capabilities of Gaussian processes (GPs) with the accurate design of an acquisition function that favors sampling in low density regions and flatness of the interpolation function. We illustrate the good capabilities of the method in toy examples and for the construction of an…

010504 meteorology & atmospheric sciencesComputer scienceFlatness (systems theory)0211 other engineering and technologiesAtmospheric correctionSampling (statistics)02 engineering and technologyFunction (mathematics)Atmospheric model01 natural sciencessymbols.namesakeKernel (statistics)Lookup tableRadiative transfersymbolsGaussian process emulatorGaussian processAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciencesInterpolation2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Multioutput Automatic Emulator for Radiative Transfer Models

2018

This paper introduces a methodology to construct emulators of costly radiative transfer models (RTMs). The proposed methodology is sequential and adaptive, and it is based on the notion of acquisition functions in Bayesian optimization. Here, instead of optimizing the unknown underlying RTM function, one aims to achieve accurate approximations. The Automatic Multi-Output Gaussian Process Emulator (AMO-GAPE) methodology combines the interpolation capabilities of Gaussian processes (GPs) with the accurate design of an acquisition function that favors sampling in low density regions and flatness of the interpolation function. We illustrate the promising capabilities of the method for the const…

010504 meteorology & atmospheric sciencesComputer scienceFlatness (systems theory)Bayesian optimizationSampling (statistics)02 engineering and technologyFunction (mathematics)Atmospheric model01 natural sciencessymbols.namesakeSampling (signal processing)0202 electrical engineering electronic engineering information engineeringsymbolsRadiative transfer020201 artificial intelligence & image processingGaussian process emulatorGaussian processAlgorithm0105 earth and related environmental sciencesInterpolationIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: Evaluation over an agricultural area with …

2011

International audience; Neural networks trained over radiative transfer simulations constitute the basis of several operational algorithms to estimate canopy biophysical variables from satellite reflectance measurements. However, only little attention was paid to the training process which has a major impact on retrieval performances. This study focused on the several modalities of the training process within neural network estimation of LAI, FCOVER and FAPAR biophysical variables. Performances were evaluated over both actual experimental observations and model simulations. The SAIL and PROSPECT radiative transfer models were used here to simulate the training and the synthetic test dataset…

010504 meteorology & atmospheric sciencesComputer scienceGaussian0211 other engineering and technologiesSoil ScienceCANOPY BIOPHYSICAL CHARACTERISTICS02 engineering and technologyNEURAL NETWORK01 natural sciencesTransfer functionsymbols.namesakeAtmospheric radiative transfer codesRadiative transferRange (statistics)Sensitivity (control systems)Computers in Earth Sciences021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingArtificial neural networkGeologySigmoid functionRELATION SOL-PLANTE-ATMOSPHEREMODEL INVERSION[SDE]Environmental SciencessymbolsINDICE FOLIAIRE
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Temperature Covariance in Tree Ring Reconstructions and Model Simulations Over the Past Millennium

2017

Spatial covariance in the simulated temperature evolution over the past millennium has been reported to exceed that of multiproxy-based reconstructions. Here we use tree ring-based temperature reco ...

010504 meteorology & atmospheric sciencesCovariance functionDendroclimatologyRadiative forcingCovariance010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesGeophysicsClimatologyPaleoclimatologyDendrochronologyGeneral Earth and Planetary SciencesSpatial variabilityGeology0105 earth and related environmental sciencesGeophysical Research Letters
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An autonomous petrological database for geodynamic simulations of magmatic systems

2022

SUMMARY Self-consistent modelling of magmatic systems is challenging as the melt continuously changes its chemical composition upon crystallization, which may affect the mechanical behaviour of the system. Melt extraction and subsequent crystallization create new rocks while depleting the source region. As the chemistry of the source rocks changes locally due to melt extraction, new calculations of the stable phase assemblages are required to track the rock evolution and the accompanied change in density. As a consequence, a large number of isochemical sections of stable phase assemblages are required to study the evolution of magmatic systems in detail. As the state-of-the-art melting diag…

010504 meteorology & atmospheric sciencesDatabaseFunction (mathematics)Parameter space010502 geochemistry & geophysicscomputer.software_genre01 natural sciencesGeophysicsGeochemistry and Petrology13. Climate actionPhase (matter)Principal component analysisProbability distributionComputational problemCluster analysiscomputerMassively parallel0105 earth and related environmental sciencesGeophysical Journal International
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On numerical broadening of particle size spectra: a condensational growth study using PyMPDATA 1.0

2021

Abstract. The work discusses the diffusional growth in particulate systems such as atmospheric clouds. It focuses on the Eulerian modeling approach in which the evolution of the probability density function describing the particle size spectrum is carried out using a fixed-bin discretization. The numerical diffusion problem inherent to the employment of the fixed-bin discretization is scrutinized. The work focuses on the applications of MPDATA family of numerical schemes. Several MPDATA variants are explored including: infinite-gauge, non-oscillatory, third-order-terms and recursive antidiffusive correction (double pass donor cell, DPDC) options. Methodology for handling coordinate transfor…

010504 meteorology & atmospheric sciencesDiscretizationComputer scienceEulerian pathProbability density functionNumerical diffusion01 natural sciences010305 fluids & plasmassymbols.namesakeTemporal resolution0103 physical sciencesConvergence (routing)symbolsApplied mathematicsSpurious relationship0105 earth and related environmental sciencesDoppler broadening
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Ocean Acidification and the End-Permian Mass Extinction: To What Extent does Evidence Support Hypothesis?

2012

International audience; Ocean acidification in modern oceans is linked to rapid increase in atmospheric CO 2 , raising concern about marine diversity, food security and ecosystem services. Proxy evidence for acidification during past crises may help predict future change, but three issues limit confidence of comparisons between modern and ancient ocean acidification, illustrated from the end-Permian extinction, 252 million years ago: (1) problems with evidence for ocean acidification preserved in sedimentary rocks, where proposed marine dissolution surfaces may be subaerial. Sedimentary evidence that the extinction was partly due to ocean acidification is therefore inconclusive; (2) Fossils…

010504 meteorology & atmospheric sciencesEffects of global warming on oceansocean acidification010502 geochemistry & geophysics01 natural sciencesEcosystem services14. Life underwaterPermian–Triassic extinction event0105 earth and related environmental sciences[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/PaleontologyHigh rateend-Permian extinctionocean acidification; end-Permian extinction; microbialite; ocean buffer; stylolitestylolitelcsh:QE1-996.5fungiBiotaOcean acidificationlcsh:GeologyOceanographymicrobialite13. Climate actionSubaerialGeneral Earth and Planetary SciencesSedimentary rock[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/Paleontologyocean bufferGeologygeographic locations
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Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis

2015

In this paper we present an approach to perform relative spectral alignment between optical cross-sensor acquisitions. The proposed method aims at projecting the images from two different and possibly disjoint input spaces into a common latent space, in which standard change detection algorithms can be applied. The system relies on the regularized kernel canonical correlation analysis transformation (kCCA), which can accommodate nonlinear dependencies between pixels by means of kernel functions. To learn the projections, the method employs a subset of samples belonging to the unchanged areas or to uninteresting radiometric differences. Since the availability of ground truth information to p…

010504 meteorology & atmospheric sciencesFeature extraction0211 other engineering and technologiesRelative spectral alignment02 engineering and technology3107 Atomic and Molecular Physics and Optics01 natural sciencesCross-sensorCanonical correlation analysis1706 Computer Science Applications910 Geography & travelComputers in Earth SciencesEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsGround truthbusiness.industry1903 Computers in Earth SciencesKernel methodsPattern recognitionReal imageAtomic and Molecular Physics and OpticsComputer Science Applications10122 Institute of GeographyTransformation (function)Kernel methodChange detectionFeature extraction2201 Engineering (miscellaneous)Artificial intelligencebusinessCanonical correlationChange detectionCurse of dimensionalityISPRS Journal of Photogrammetry and Remote Sensing
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