Search results for "method"

showing 10 items of 13253 documents

On the timing between terrestrial gamma ray flashes, radio atmospherics, and optical lightning emission

2017

On 25 October 2012 the Reuven Ramaty High Energy Solar Spectroscope Imager (RHESSI) and the Tropical Rainfall Measuring Mission (TRMM) satellites passed over a thunderstorm on the coast of Sri Lanka. RHESSI observed a terrestrial gamma ray flash (TGF) originating from this thunderstorm. Optical measurements of the causative lightning stroke were made by the lightning imaging sensor (LIS) on board TRMM. The World Wide Lightning Location Network (WWLLN) detected the very low frequency (VLF) radio emissions from the lightning stroke. The geolocation from WWLLN, which we also assume is the TGF source location, was in the convective core of the cloud. By using new information about both RHESSI a…

010504 meteorology & atmospheric sciencesGamma rayFOS: Physical sciencesRadio atmosphericLight curve01 natural sciencesLightningSpace Physics (physics.space-ph)GeophysicsPhysics - Space PhysicsSpace and Planetary Science0103 physical sciencesThunderstormEnvironmental scienceAtmosphericsVery low frequencyAstrophysics - Instrumentation and Methods for AstrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysics0105 earth and related environmental sciencesTerrestrial gamma-ray flashRemote sensingJournal of Geophysical Research: Space Physics
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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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Quantifying geological uncertainty in metamorphic phase equilibria modelling; a Monte Carlo assessment and implications for tectonic interpretations

2016

AbstractPseudosection modelling is rapidly becoming an essential part of a petrologist's toolkit and often forms the basis of interpreting the tectonothermal evolution of a rock sample, outcrop, or geological region. Of the several factors that can affect the accuracy and precision of such calculated phase diagrams, “geological” uncertainty related to natural petrographic variation at the hand sample- and/or thin section-scale is rarely considered. Such uncertainty influences the sample's bulk composition, which is the primary control on its equilibrium phase relationships and thus the interpreted pressure–temperature (P–T) conditions of formation. Two case study examples—a garnet–cordierit…

010504 meteorology & atmospheric sciencesMetamorphic rockMonte Carlo methodMineralogyPseudosectionEarth and Planetary Sciences(all)3705 Geologysub-05010502 geochemistry & geophysics01 natural sciencesKyaniteGeological uncertaintyMatrix (geology)ErrorPetrographyMonte Carlo0105 earth and related environmental sciencesMnNCKFMASHTOlcsh:QE1-996.5Schist37 Earth Scienceslcsh:GeologyTectonicsvisual_artStaurolitevisual_art.visual_art_mediumGeneral Earth and Planetary Sciences3706 GeophysicsGeologyGeoscience Frontiers
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The Making of the New European Wind Atlas - Part 2: production and evaluation

2020

This is the second of two papers that document the creation of the New European Wind Atlas (NEWA). In Part 1, we described the sensitivity experiments and accompanying evaluation done to arrive at the final mesoscale model setup used to produce the mesoscale wind atlas. In this paper, Part 2, we document how we made the final wind atlas product, covering both the production of the mesoscale climatology generated with the Weather Research and Forecasting (WRF) model and the microscale climatology generated with the Wind Atlas Analysis and Applications Program (WAsP). The paper includes a detailed description of the technical and practical aspects that went into running the mesoscale simulati…

010504 meteorology & atmospheric sciencesMeteorology020209 energyMesoscale meteorologyTerrainParameterization02 engineering and technology01 natural sciencesWind speedWind speed0202 electrical engineering electronic engineering information engineeringWind atlasData flow modelSurface wind0105 earth and related environmental sciences:Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia [Àrees temàtiques de la UPC]lcsh:QE1-996.5Física atmosféricalcsh:GeologyWeather Research and Forecasting ModelEnvironmental scienceNew European Wind AtlasSimulacio per ordinadorComputational methods in engineeringDownscalingModel
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A space-time rainfall generator for highly convective Mediterranean rainstorms

2003

Distributed hydrological models require fine resolution rainfall inputs, enhancing the practical interest of space-time rainfall models, capable of generating through numerical simulation realistic space-time rainfall intensity fields. Among different mathematical approaches, those based on point processes and built upon a convenient analytical description of the raincell as the fundamental unit, have shown to be particularly suitable and well adapted when extreme rainfall events of convective nature are considered. Starting from previous formulations, some analytical refinements have been considered, allowing practical generation of space-time rainfall intensity fields for that type of rai…

010504 meteorology & atmospheric sciencesMeteorology0207 environmental engineering[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technologyMethod of moments (statistics)01 natural sciencesPoint processlcsh:TD1-1066lcsh:Environmental technology. Sanitary engineering020701 environmental engineering[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereComputer simulationRain gauge[SDU.OCEAN] Sciences of the Universe [physics]/Ocean AtmosphereSpace timelcsh:QE1-996.5lcsh:Geography. Anthropology. Recreation[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environment6. Clean waterRunoff modellcsh:Geologylcsh:G13. Climate actionClimatology[SDU.STU] Sciences of the Universe [physics]/Earth SciencesGeneral Earth and Planetary SciencesEnvironmental scienceIntensity (heat transfer)Generator (mathematics)
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2016

Gianluca Tramontana was supported by the GEOCARBON EU FP7 project (GA 283080). Dario Papale, Martin Jung and Markus Reichstein acknowledge funding from the EU FP7 project GEOCARBON (grant agreement no. 283080) and the EU H2020 BACI project (grant agreement no. 640176). Gustau Camps-Valls wants to acknowledge the support by an ERC Consolidator Grant with grant agreement 647423 (SEDAL). Kazuhito Ichii was supported by Environment Research and Technology Development Funds (2-1401) from the Ministry of the Environment of Japan and the JAXA Global Change Observation Mission (GCOM) project (no. 115). Christopher R. Schwalm was supported by National Aeronautics and Space Administration (NASA) gran…

010504 meteorology & atmospheric sciencesMeteorologyFLUXNET0208 environmental biotechnology0207 environmental engineeringlcsh:Life02 engineering and technologySensible heatAtmospheric sciences7. Clean energy01 natural sciencesFlux (metallurgy)FluxNetMachine learning; Carbon fluxes; Energy fluxes; FLUXNET; Remote sensing; FLUXCOMlcsh:QH540-549.5Latent heatMachine learningCarbon fluxes020701 environmental engineeringEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface ProcessesFLUXCOMMultivariate adaptive regression splineslcsh:QE1-996.5Empirical modellingPrimary production15. Life on landRemote sensingEnergy fluxes020801 environmental engineeringlcsh:Geologylcsh:QH501-531Kernel method13. Climate actionEnvironmental sciencelcsh:EcologyBiogeosciences
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On the Dependence of Cirrus Parametrizations on the Cloud Origin

2019

<p>Particle size distributions (PSDs) for cirrus clouds are important for both climate models as well as many remote sensing retrieval methods. Therefore, PSD parametrizations are required. This study presents parametrizations of Arctic cirrus PSDs. The dataset used for this purpose originates from balloon-borne measurements carried out during winter above Kiruna (Sweden), i.e. north of the Arctic circle. The observations are sorted into two types of cirrus cloud origin, either in-situ or liquid. The cloud origin describes the formation pathway of the ice particles. At temperatures below −38 °C, ice particles form in-situ from solution or ice nuclea…

010504 meteorology & atmospheric sciencesMeteorologyMeteorologi och atmosfärforskningAerospace EngineeringCloud computing010502 geochemistry & geophysics01 natural sciencescirrus cloudsddc:550Parametrization (atmospheric modeling)Astrophysics::Galaxy AstrophysicsPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesbusiness.industryAstrophysics::Instrumentation and Methods for AstrophysicsparametrizationData setRymd- och flygteknikGeophysicsArcticice particle size distribution (PSD)Meteorology and Atmospheric SciencesPhysics::Space PhysicsGeneral Earth and Planetary SciencesEnvironmental scienceCirrusbusinessArctic cloud origin
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Inflight Radiometric Calibration of New Horizons' Multispectral Visible Imaging Camera (MVIC)

2017

© 2016 Elsevier Inc. We discuss two semi-independent calibration techniques used to determine the inflight radiometric calibration for the New Horizons’ Multi-spectral Visible Imaging Camera (MVIC). The first calibration technique compares the measured number of counts (DN) observed from a number of well calibrated stars to those predicted using the component-level calibration. The ratio of these values provides a multiplicative factor that allows a conversation between the preflight calibration to the more accurate inflight one, for each detector. The second calibration technique is a channel-wise relative radiometric calibration for MVIC's blue, near-infrared and methane color channels us…

010504 meteorology & atmospheric sciencesMultispectral imageFOS: Physical sciencesField of view01 natural sciencesOptics0103 physical sciencesCalibration010303 astronomy & astrophysicsRadiometric calibrationInstrumentation and Methods for Astrophysics (astro-ph.IM)0105 earth and related environmental sciencesRemote sensingEarth and Planetary Astrophysics (astro-ph.EP)Pixelbusiness.industryDetectorAstrophysics::Instrumentation and Methods for AstrophysicsAstronomy and AstrophysicsPlanetary Data SystemPanchromatic filmSpace and Planetary ScienceEnvironmental scienceAstrophysics::Earth and Planetary AstrophysicsAstrophysics - Instrumentation and Methods for AstrophysicsbusinessAstrophysics - Earth and Planetary Astrophysics
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A Search for IceCube Events in the Direction of ANITA Neutrino Candidates

2020

During the first three flights of the Antarctic Impulsive Transient Antenna (ANITA) experiment, the collaboration detected several neutrino candidates. Two of these candidate events were consistent with an ultra-high-energy up-going air shower and compatible with a tau neutrino interpretation. A third neutrino candidate event was detected in a search for Askaryan radiation in the Antarctic ice, although it is also consistent with the background expectation. The inferred emergence angle of the first two events is in tension with IceCube and ANITA limits on isotropic cosmogenic neutrino fluxes. Here, we test the hypothesis that these events are astrophysical in origin, possibly caused by a po…

010504 meteorology & atmospheric sciencesPoint sourceAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysics01 natural sciencesStandard ModelHigh Energy Physics - Phenomenology (hep-ph)Tau neutrino0103 physical sciencesTRACK RECONSTRUCTIONSource spectrum010303 astronomy & astrophysics0105 earth and related environmental sciencesPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEIsotropyAstrophysics::Instrumentation and Methods for AstrophysicsAstronomy and Astrophysicshep-phHigh Energy Physics - PhenomenologyAir showerPhysics and Astronomy13. Climate actionSpace and Planetary ScienceNeutrinoAstrophysics - High Energy Astrophysical PhenomenaEvent (particle physics)
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Spectropolarimetric evidence for a siphon flow along an emerging magnetic flux tube

2016

©2017 The American Astronomical Society. All rights reserved.We study the dynamics and topology of an emerging magnetic flux concentration using high spatial resolution spectropolarimetric data acquired with the Imaging Magnetograph eXperiment on board the sunrise balloon-borne solar observatory. We obtain the full vector magnetic field and the line of sight (LOS) velocity through inversions of the Fe i line at 525.02 nm with the SPINOR code. The derived vector magnetic field is used to trace magnetic field lines. Two magnetic flux concentrations with different polarities and LOS velocities are found to be connected by a group of arch-shaped magnetic field lines. The positive polarity footp…

010504 meteorology & atmospheric sciencesPolarity (physics)photosphere [Sun]FOS: Physical sciencesAstrophysicspolarimetric [Techniques]01 natural sciencesMethods: observational0103 physical sciencesSunriseAstrophysics::Solar and Stellar Astrophysicsobservational [Methods]010303 astronomy & astrophysicsSun: magnetic fieldsSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesLine (formation)PhysicsSolar observatoryPolarity symbolsTechniques: polarimetricSun: photosphereAstronomy and AstrophysicsMagnetic fluxMagnetic fieldAstrophysics - Solar and Stellar AstrophysicsFlow (mathematics)magnetic fields [Sun]Space and Planetary Science
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