Search results for "uncertainties"

showing 10 items of 38 documents

Impact of internal variability on projections of Sahel precipitation change.

2017

12 pages; International audience; The impact of the increase of greenhouse gases on Sahelian precipitation is very uncertain in both its spatial pattern and magnitude. In particular, the relative importance of internal variability versus external forcings depends on the time horizon considered in the climate projection. In this study we address the respective roles of the internal climate variability versus external forcings on Sahelian precipitation by using the data from the CESM Large Ensemble Project, which consists of a 40 member ensemble performed with the CESM1-CAM5 coupled model for the period 1920–2100. We show that CESM1-CAM5 is able to simulate the mean and interannual variabilit…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyClimate changeMagnitude (mathematics)Time horizon02 engineering and technologyForcing (mathematics)01 natural sciencesWest AfricaPrecipitation0105 earth and related environmental sciencesGeneral Environmental ScienceHorizon (archaeology)Renewable Energy Sustainability and the EnvironmentPublic Health Environmental and Occupational Healthuncertainties020801 environmental engineeringclimate change13. Climate action[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyGreenhouse gasinternal variabilityEnvironmental scienceCommon spatial pattern[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology
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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
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Leaf-Level Spectral Fluorescence Measurements : Comparing Methodologies for Broadleaves and Needles

2019

Successful measurements of chlorophyll fluorescence (ChlF) spectral properties (typically in the wavelength range of 650–850 nm) across plant species, environmental conditions, and stress levels are a first step towards establishing a quantitative link between solar-induced chlorophyll fluorescence (SIF), which can only be measured at discrete ChlF spectral bands, and photosynthetic functionality. Despite its importance and significance, the various methodologies for the estimation of leaf-level ChlF spectral properties have not yet been compared, especially when applied to leaves with complex morphology, such as needles. Here we present, to the best of our knowledge, a first comparison of …

0106 biological sciencesCorrection methodMaterials science010504 meteorology & atmospheric sciencesSciencesun-induced fluorescenceAnalytical chemistryleaf morphology01 natural sciencesSpectral lineFluoWatlingonberryLEAVESChlorophyll fluorescence0105 earth and related environmental sciences4112 Forestryphotosynthesischlorophyll fluorescencesilver birchQSpectral propertiesSpectral bandsOPTICAL-PROPERTIESA FLUORESCENCECANOPY-LEVELFluorescencebaseline correctionRATIO F690/F730Integrating sphereLIGHTPHOTOSYSTEM-IPlant speciesScots pineINDUCED CHLOROPHYLL FLUORESCENCEMINIMIZING MEASUREMENT UNCERTAINTIESREVISED MEASUREMENT METHODOLOGYGeneral Earth and Planetary Sciencesbaseline correction; chlorophyll fluorescence; FluoWat; leaf morphology; lingonberry; photosynthesis; Scots pine; silver birch; sun-induced fluorescence010606 plant biology & botany
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"Table 4" of "Observation of electroweak $W^{\pm}Z$ boson pair production in association with two jets in $pp$ collisions at $\sqrt{s} =$ 13 TeV with…

2019

Summary of the relative uncertainties in the measured fiducial cross section $\sigma^{\mathrm{fid}}_{W^\pm Z j j-EW}$ . The uncertainties are reported as percentages.

13000.0Astrophysics::Cosmology and Extragalactic AstrophysicsREL. UNCERTAINTIES
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Uncertainty in environmental and hydrological mathematical modelling

2012

The current state of knowledge regarding uncertainties in urban drainage models is poor. This is in part due to the lack of clarity in the way model uncertainty analyses are conducted and how the results are presented and used. There is a need for a common terminology and a conceptual framework for describing and estimating uncertainties in urban drainage models. Practical tools for the assessment of model uncertainties for a range of urban drainage models are also required to be developed. This paper, produced by the International Working Group on Data and Models, which works under the IWA/IAHR Joint Committee on Urban Drainage, is a contribution to the development of a harmonised framewor…

Calibration dataSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleUncertaintieUrban drainage models; Uncertainties; Input data; Calibration data; Sensitivity analysisInput dataSensitivity analysisUrban drainage model
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Construction sequence analysis of long-span cable-stayed bridges

2018

Abstract In cantilever construction of long-span cable-stayed bridges the stressing sequence of stays is fundamental for establishing the final configuration of the bridge. The structural behaviour of these bridges is usually evaluated through a forward staged construction analysis, in which the values of the prestressing forces to be applied to stays are the main unknowns. A unified procedure for determining the initial cable forces and for analyzing the entire sequence is presented here, considering the geometric nonlinearity of stays through the Dischinger equivalent elastic modulus. The target is the simultaneous determination of the initial cable forces with the simulation of the const…

CantileverComputer science0211 other engineering and technologiesNAPS020101 civil engineering02 engineering and technologyBridge (nautical)0201 civil engineeringDeckStress (mechanics)Effects of uncertainties021105 building & constructionPylonForward analysisCivil and Structural EngineeringSequenceConstruction sequencebusiness.industryProbabilistic logicProbabilistic approachCable-stayed structures; Construction sequence; Effects of uncertainties; Forward analysis; NAPS; Partial scheme; PES; Probabilistic approach; Civil and Structural EngineeringStructural engineeringPESSettore ICAR/09 - Tecnica Delle CostruzioniNonlinear systemPartial schemebusinessCable-stayed structures
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Uncertainty quantification analysis of the biological Gompertz model subject to random fluctuations in all its parameters

2020

[EN] In spite of its simple formulation via a nonlinear differential equation, the Gompertz model has been widely applied to describe the dynamics of biological and biophysical parts of complex systems (growth of living organisms, number of bacteria, volume of infected cells, etc.). Its parameters or coefficients and the initial condition represent biological quantities (usually, rates and number of individual/particles, respectively) whose nature is random rather than deterministic. In this paper, we present a complete uncertainty quantification analysis of the randomized Gomperz model via the computation of an explicit expression to the first probability density function of its solution s…

Continuity partial differential equationStationary distributionDynamical systems theoryStochastic processGeneral MathematicsApplied MathematicsGompertz functionProbabilistic logicGeneral Physics and AstronomyStatistical and Nonlinear PhysicsProbability density function01 natural sciences010305 fluids & plasmasComplex systems with uncertainties0103 physical sciencesLiouville-Gibbs theoremApplied mathematicsInitial value problemUncertainty quantificationRandom nonlinear differential equationMATEMATICA APLICADA010301 acousticsMathematicsRandomized Gompertz model
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A Virtual Tool for Load Flow Analysis in a Micro-Grid

2020

This paper proposes a virtual tool for load flow analysis in energy distribution systems of micro-grids. The solution is based on a low-cost measurement architecture, which entails low-voltage power measurements in each secondary substation and a voltage measurement at the beginning of the medium voltage (MV) feeder. The proposed virtual tool periodically queries these instruments to acquire the measurements. Then, it implements a backward&ndash

Control and OptimizationComputer scienceEnergy Engineering and Power Technologylcsh:TechnologyElectric power systemDistributed generatorPower-flow studyElectrical and Electronic Engineeringsmart gridEngineering (miscellaneous)Simulationdistributed generationRenewable Energy Sustainability and the Environmentbusiness.industrylcsh:TMicro gridPower (physics)Smart gridpower systemFlow (mathematics)Distributed generationload flowNode (circuits)micro-gridmeasurement uncertaintiesbusinessSettore ING-INF/07 - Misure Elettriche E ElettronicheEnergy (miscellaneous)Voltage
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Two Remarkably Luminous Galaxy Candidates at z ≈ 10-12 Revealed by JWST

2022

The first few 100 Myr at z > 10 mark the last major uncharted epoch in the history of the universe, where only a single galaxy (GN-z11 at z ≈ 11) is currently spectroscopically confirmed. Here we present a search for luminous z > 10 galaxies with JWST/NIRCam photometry spanning ≈1–5 μm and covering 49 arcmin2 from the public JWST Early Release Science programs (CEERS and GLASS). Our most secure candidates are two MUV ≈ −21 systems: GLASS-z12 and GLASS-z10. These galaxies display abrupt ≳1.8 mag breaks in their spectral energy distributions (SEDs), consistent with complete absorption of flux bluewards of Lyα that is redshifted to =+z12.40.3 0.1and=+z10.40.5 0.4. Lower redshift interlopers su…

DECOMPOSITIONII.594Early universeFOS: Physical sciences2291435PROPAGATION734595310Galaxies and CosmologyUNCERTAINTIESGalaxy evolutionGalaxy formationTO 8REIONIZATIONMASSIVE GALAXIESAstronomy and AstrophysicsBRIGHT ENDAstrophysics - Astrophysics of GalaxiesEVOLUTIONSTELLARSpace and Planetary Science5101 Astronomical SciencesAstrophysics of Galaxies (astro-ph.GA)High-redshift galaxiesJames Webb Space Telescope51 Physical Sciences
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Robust stabilisation of 2D state-delayed stochastic systems with randomly occurring uncertainties and nonlinearities

2013

This paper is concerned with the state feedback control problem for a class of two-dimensional (2D) discrete-time stochastic systems with time-delays, randomly occurring uncertainties and nonlinearities. Both the sector-like nonlinearities and the norm-bounded uncertainties enter into the system in random ways, and such randomly occurring uncertainties and nonlinearities obey certain mutually uncorrelated Bernoulli random binary distribution laws. Sufficient computationally tractable linear matrix inequality–based conditions are established for the 2D nonlinear stochastic time-delay systems to be asymptotically stable in the mean-square sense, and then the explicit expression of the desired…

Distribution (number theory)Linear matrix inequality (LMI)Linear matrix inequality2D stochastic systems; Linear matrix inequality (LMI); Randomly occurring nonlinearities; Randomly occurring uncertainties; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionBinary numberComputer Science Applications1707 Computer Vision and Pattern RecognitionExpression (computer science)Randomly occurring nonlinearitiesComputer Science ApplicationsTheoretical Computer ScienceNonlinear systemBernoulli's principleControl and Systems EngineeringControl theoryStability theory2D stochastic systemsRandomly occurring uncertaintiesMathematicsInternational Journal of Systems Science
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