Search results for "mathematics"

showing 10 items of 22031 documents

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
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SAR Image Classification Combining Structural and Statistical Methods

2011

The main objective of this paper is to develop a new technique of SAR image classification. This technique combines structural parameters, including the Sill, the slope, the fractal dimension and the range, with statistical methods in a supervised image classification. Thanks to the range parameter, we define the suitable size of the image window used in the proposed approach of supervised image classification. This approach is based on a new way of characterising different classes identified on the image. The first step consists in determining relevant area of interest. The second step consists in characterising each area identified, by a matrix. The last step consists in automating the pr…

010504 meteorology & atmospheric sciencesContextual image classificationbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONProcess (computing)Pattern recognition02 engineering and technology01 natural sciencesFractal dimensionImage (mathematics)Range (mathematics)Matrix (mathematics)Fractal[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceVariogrambusinessComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesMathematics
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Comparison of gap-filling techniques applied to the CCI soil moisture database in Southern Europe

2021

Abstract Soil moisture (SM) is a key variable that plays an important role in land-atmosphere interactions. Monitoring SM is crucial for many applications and can help to determine the impact of climate change. Therefore, it is essential to have continuous and long-term databases for this variable. Satellite missions have contributed to this; however, the continuity of the series is compromised due to the data gaps derived by different factors, including revisit time, presence of seasonal ice or Radio Frequency Interference (RFI) contamination. In this work, the applicability of different gap-filling techniques is evaluated on the ESA Climate Change Initiative (CCI) SM combined product, whi…

010504 meteorology & atmospheric sciencesDatabaseCorrelation coefficient0208 environmental biotechnologySoil ScienceGeology02 engineering and technologycomputer.software_genre01 natural sciencesNormalized Difference Vegetation Index020801 environmental engineeringRandom forestSupport vector machineAutoregressive modelPrincipal component analysisPotential evaporationComputers in Earth Sciencescomputer0105 earth and related environmental sciencesMathematicsInterpolationRemote sensingRemote Sensing of Environment
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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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Ground deformation reveals the scale-invariant conduit dynamics driving explosive basaltic eruptions

2021

The mild activity of basaltic volcanoes is punctuated by violent explosive eruptions that occur without obvious precursors. Modelling the source processes of these sudden blasts is challenging. Here, we use two decades of ground deformation (tilt) records from Stromboli volcano to shed light, with unprecedented detail, on the short-term (minute-scale) conduit processes that drive such violent volcanic eruptions. We find that explosive eruptions, with source parameters spanning seven orders of magnitude, all share a common pre-blast ground inflation trend. We explain this exponential inflation using a model in which pressure build-up is caused by the rapid expansion of volatile-rich magma ri…

010504 meteorology & atmospheric sciencesExplosive materialScienceGeneral Physics and AstronomyMagnitude (mathematics)VolcanologyDeformation (meteorology)010502 geochemistry & geophysics01 natural sciencestiltGeneral Biochemistry Genetics and Molecular BiologyArticlePhysics::Geophysicsground deformationElectrical conduitOrders of magnitude (specific energy)ground deformation conduit dynamics early warningAstrophysics::Solar and Stellar AstrophysicsStromboli0105 earth and related environmental sciencesgeographyMultidisciplinarygeography.geographical_feature_categoryExplosive eruptionQGeneral ChemistryGeophysicsVolcanoMagmaSeismologyGeologyNature Communications
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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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Dissipative analogies of step-pool features: From rills to mountain streams

2019

Abstract In this paper the dissipative similarity of step-pool units at different spatial scales ranging from rills to streams is analyzed. This investigation benefits from the latest theoretical advances in open channel flow resistance, high-resolution topography from close-range photogrammetry applied to rill erosion and the availability of published data from literature on step-pool streams. At first, the integration of a power velocity distribution allowed to obtain a theoretically-based expression of Darcy-Weisbach friction factor, in which Γ function and δ exponent of the velocity profile are included. Then this theoretically-deduced flow resistance relationship is calibrated and test…

010504 meteorology & atmospheric sciencesFlow (psychology)GeometrySTREAMSPlot measurement01 natural sciencesFlow velocityCalibrationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0105 earth and related environmental sciencesEarth-Surface Processesgeographygeography.geographical_feature_category04 agricultural and veterinary sciencesFunction (mathematics)Open-channel flowRillFlow velocityFlow resistance040103 agronomy & agricultureDissipative systemRill flowSoil erosion0401 agriculture forestry and fisheriesStep-poolGeology
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Estudio de bofedales en los Andes ecuatorianos a través de la comparación de imágenes Landsat-8 y Sentinel-2

2019

[EN] The objective of the present study was to compare the Landsat-8 and Sentinel-2 images to calculate the wetland´s extension, distribution and degree of conservation, in Reserva de Producción de Fauna Chinborazo (RPFCH) protected area located in the Andean region of Ecuador. This process was developed with in situ work in 16 wetlands, distributed in different conservation levels. The Landsat-8 and Sentinel-2 images were processed through a radiometric calibration (restoration of lost lines or píxels and correction of the stripe of the image) and an atmospheric correction (conversion of the digital levels to radiance values), to later calculate the Vegetation spectral indexes: NDVI, SAVI …

010504 meteorology & atmospheric sciencesGeography Planning and Development0211 other engineering and technologiesRed edgeWetland02 engineering and technology01 natural sciencesNormalized Difference Vegetation IndexLandsat-8Earth and Planetary Sciences (miscellaneous)Red EdgeImage resolutionBofedal021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsgeographyRandom Forestgeography.geographical_feature_categoryPixelAtmospheric correctionForestryVegetationRadianceSentinel-2Revista de Teledetección
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2021

Intracratonic basins tend to subside much longer than the timescale predicted by thermal relaxation of the lithosphere. Many hypotheses have been suggested to explain their longevity, yet few have been tested using quantitative thermo-mechanical numerical models, which capture the dynamic of the lithosphere. Lithospheric-scale geodynamic modelling preserving the tectono-stratigraphic architecture of these basins is challenging because they display only few kilometres of subsidence over 1000 of km during time periods exceeding 250 Myr. Here we present simulations that are designed to examine the relative role of thermal anomaly, tectonics and heterogeneity of the lithosphere on the dynamics …

010504 meteorology & atmospheric sciencesGeologySubsidenceForcing (mathematics)010502 geochemistry & geophysics01 natural sciencesUnconformityTectonics13. Climate actionLithosphereErosionCompression (geology)Accretion (geology)SeismologyGeology0105 earth and related environmental sciencesBulletin de la Société géologique de France
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