Search results for " Models"

showing 10 items of 4240 documents

Comparative assessment of RAMS and WRF short-term forecasts over Eastern Iberian Peninsula using various in-situ observations, remote sensing product…

2018

The Regional Atmospheric Modeling System (RAMS) and the Weather Research and Forecasting (WRF) mesoscale models are being used for weather and air quality studies as well as forecasting tools in Numerical Weather Prediction (NWP) systems. In the current study, we perform a comparative assessment of these models under distinct typical atmospheric conditions, classified according to the dominant wind flow and cloudiness, over Eastern Iberian Peninsula. This study is focused on the model representation of key physical processes in terms of meteorology and surface variables during a 7-days period in summer 2011. The hourly outputs produced by these two models are compared not only with observed…

Atmospheric Science010504 meteorology & atmospheric sciencesNumerical weather prediction/forecastingCloud cover0208 environmental biotechnologyWRFMesoscale meteorology02 engineering and technology01 natural sciencesMesoscale modellingSea breezePeninsulaMeteorologiaLand surface modelsAir quality index0105 earth and related environmental sciencesRemote sensinggeographygeography.geographical_feature_categoryRAMSFísica de la TierraRemote sensingNumerical weather prediction020801 environmental engineeringWeather Research and Forecasting ModelRegional Atmospheric Modeling SystemEnvironmental science
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Regionalizing Rainfall at Very High Resolution over La Réunion Island: A Case Study for Tropical Cyclone Ando

2016

AbstractEnsemble simulations of Tropical Cyclone (TC) Ando (31 December 2000–9 January 2001) are performed over the southwest Indian Ocean using the nonhydrostatic WRF Model. Nested domains centered over the island of La Réunion allow for the simulation of local rainfall amounts associated with TC Ando at very high resolution (680-m grid spacing). The model is forced by and nudged toward ERA-Interim during the first (1–6) day(s) of the TC’s life cycle. The nudging ends at various dates to constrain either the whole life cycle or only parts of it.As expected, results show weakened member dispersion, as the relaxation lasts longer, with more members producing similar cyclone tracks and intens…

Atmospheric Science010504 meteorology & atmospheric sciences[ SDU.STU.ME ] Sciences of the Universe [physics]/Earth Sciences/MeteorologyRegional modelsTerrain[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology010502 geochemistry & geophysics01 natural sciencesWind speed[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology13. Climate actionTropical cyclonesClimatologyWeather Research and Forecasting ModelCyclonePrecipitation[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyTropical cycloneDispersion (water waves)Tropical cyclone rainfall forecastingIndian OceanGeology0105 earth and related environmental sciencesMonthly Weather Review
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Improvements of organic aerosol representations and their effects in large-scale atmospheric models

2012

Organics dominate the composition of the atmospheric aerosol, especially in the fine mode, influencing some of its characteristics such as the hygroscopicity, which is of climatic relevance for the Earth system. This study targets an improvement in the description of organic aerosols suitable for large-scale modelling, making use of recent developments based on laboratory and field measurements. In addition to the organic mass and particle number distribution, the proposed method keeps track of the oxidation state of the aerosol based on the OH exposure time, describing some of its chemical characteristics. This study presents the application of the method in a global chemistry climate mode…

Atmospheric ScienceAtmospheric modelsMass distributionParticle numberChemistryMode (statistics)Atmospheric sciencesResidence time (fluid dynamics)Chemical reactionlcsh:QC1-999Aerosollcsh:Chemistrylcsh:QD1-999Oxidation stateEnvironmental chemistrylcsh:Physics
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Improving RAMS and WRF mesoscale forecasts over two distinct vegetation covers using an appropriate thermal roughness length parameterization

2019

Land Surface Models (LSM) have shown some difficulties to properly simulate day-time 2-m air and surface skin temperatures. This kind of models are coupled to atmospheric models in mesoscale modelling, such as the Regional Atmospheric Modeling System (RAMS) and the Weather Research and Forecasting (WRF) Model. This model coupling is used within Numerical Weather Prediction Systems (NWP) in order to forecast key physical processes for agricultural meteorology and forestry as well as in ecological modelling. The current study first evaluates the surface energy fluxes and temperatures simulated by these two state-of-the-art NWP models over two distinct vegetated covers, one corresponding to a …

Atmospheric ScienceGlobal and Planetary ChangeMeteorologyNumerical weather prediction/forecastingFísica de la TierraMesoscale meteorologyEuropean Regional Development FundSurface-layer parameterizationForestryVegetationMesoscale modellingBoscos i silviculturaSurface energy fluxRoughness lengthThermal roughness lengthWeather Research and Forecasting ModelEnvironmental scienceLand surface modelsSurface energy fluxesAgronomy and Crop SciencePhysics::Atmospheric and Oceanic Physics
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Bayesian dynamic modeling of time series of dengue disease case counts

2017

The aim of this study is to model the association between weekly time series of dengue case counts and meteorological variables, in a high-incidence city of Colombia, applying Bayesian hierarchical dynamic generalized linear models over the period January 2008 to August 2015. Additionally, we evaluate the model’s short-term performance for predicting dengue cases. The methodology shows dynamic Poisson log link models including constant or time-varying coefficients for the meteorological variables. Calendar effects were modeled using constant or first- or second-order random walk time-varying coefficients. The meteorological variables were modeled using constant coefficients and first-order …

Atmospheric ScienceMeteorological ConceptsUrban PopulationEpidemiologyRainPoisson distributionGeographical locationsDengueMathematical and Statistical Techniques0302 clinical medicineStatisticsMedicine and Health Sciences030212 general & internal medicineAtmospheric DynamicsMathematicsMathematical Modelslcsh:Public aspects of medicinePhysicsElectromagnetic RadiationRandom walkDeviance information criterionGeophysicsInfectious DiseasesMean absolute percentage errorPhysical SciencessymbolsSolar RadiationStatistics (Mathematics)Research ArticleGeneralized linear modelConstant coefficientslcsh:Arctic medicine. Tropical medicinelcsh:RC955-962030231 tropical medicineColombiaDisease SurveillanceResearch and Analysis Methods03 medical and health sciencessymbols.namesakeMeteorologyHumansStatistical MethodsCitiesModel selectionPublic Health Environmental and Occupational Healthlcsh:RA1-1270HumidityBayes TheoremMarkov chain Monte CarloSouth AmericaAtmospheric PhysicsRandom WalkEarth SciencesPeople and placesMathematicsForecastingPLOS Neglected Tropical Diseases
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Examining the effect of adverse weather on road transportation using weather and traffic sensors.

2018

Adverse weather related to reduced visibility caused by fog and rain can seriously affect the mobility and safety of drivers. It is meaningful to develop effective intelligent transportation system (ITS) strategies to mitigate the negative effects of these different types of adverse weather related to reduced visibility by investigating the effect of rain and fog on traffic parameters. A number of previous researches focused on analyzing the effect of adverse weather related to reduced visibility by using simulated traffic and weather data. There are few researchers that addressed the impact of adverse weather instances using real-time data. Moreover, this paper conducts comprehensive inves…

Atmospheric ScienceRainIntelligenceSocial Scienceslcsh:MedicineTransportation02 engineering and technologyPreliminary analysisFogMathematical and Statistical TechniquesRisk FactorsMedicine and Health Sciences0202 electrical engineering electronic engineering information engineeringPsychologyPublic and Occupational Healthlcsh:ScienceIntelligent transportation systemMultidisciplinaryAdverse weatherStatistics05 social sciencesAccidents TrafficRegression analysisTransportation InfrastructureAutomobile drivingPhysical SciencesEngineering and Technology020201 artificial intelligence & image processingSafetyResearch ArticleAutomobile DrivingSafety ManagementMeteorologyResearch and Analysis MethodsCivil EngineeringMeteorology0502 economics and businessHumansStatistical MethodsVisibilityWeatherAnalysis of Variance050210 logistics & transportationlcsh:RTraffic SafetyCognitive PsychologyBiology and Life SciencesRoadsLogistic ModelsWeather dataEarth SciencesCognitive ScienceEnvironmental sciencelcsh:QMathematicsNeurosciencePLoS ONE
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2021

Abstract. Lightning is the major cause of the natural ignition of wildfires worldwide and produces the largest wildfires in some regions. Lightning strokes produce about 5 % of forest fires in the Mediterranean Basin and are one of the most important precursors of the largest forest fires during the summer. Lightning-ignited wildfires produce significant emissions of aerosols, black carbon, and trace gases, such as CO, SO2, CH4, and O3, affecting air quality. Characterization of the meteorological and cloud conditions of lightning-ignited wildfires in the Mediterranean Basin can serve to improve fire forecasting models and to upgrade the implementation of fire emissions in atmospheric model…

Atmospheric Sciencegeographygeography.geographical_feature_categoryAtmospheric modelsMeteorologyPeninsulaThunderstormEnvironmental sciencePrecipitationLightningAir quality indexMediterranean BasinTrace gasAtmospheric Chemistry and Physics
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An evaluation of the estimation of road traffic emission factors from tracer studies

2010

Road traffic emission factors (EFs) are one of the main sources of uncertainties in emission inventories; it is necessary to develop methods to reduce these uncertainties to manage air quality more efficiently. Recently an alternative method has been proposed to estimate the EFs. In that work the emission factors were estimated from a long term tracer study developed in Ho Chi Minh City (HCMC) Vietnam. A passive tracer was continuously emitted from a finite line source placed in one side of an urban street canyon. Simultaneously, the resulting tracer concentrations were monitored at the other side of the street. The results of this experiment were used to calculate the dispersion factors an…

Atmospheric Sciencemodel validationPart Ii010504 meteorology & atmospheric sciencesMeteorologyStreet CanyonsField010501 environmental sciencesComputational fluid dynamics01 natural sciencesLine sourceDispersion ModelsPollutant DispersionTRACER11. SustainabilityRange (statistics)Statistical dispersionEmission inventoryAir quality index0105 earth and related environmental sciencesGeneral Environmental ScienceWind tunneltracer studiesFlowbusiness.industrystreet canyon[SHS.GEO]Humanities and Social Sciences/GeographyAir-QualityParticles13. Climate actionEnvironmental scienceWind-TunnelbusinessSimulationreal-world motor vehicle emissionsComputational Fluids Dynamics (CFD)
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Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling

2022

Atmospheric Scienceprecision farmingradiative transfer modelsApplied Mathematicsplant nitrogen uptake estimationComputers in Earth Sciencesmachine learning regression algorithmsGeneral Environmental ScienceEuropean Journal of Remote Sensing
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Multi-fidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models

2023

This repository contains several datasets of spectral atmospheric transfer functions (i.e. path radiance, transmittances, spherical albedo) simulated with MODTRAN6 atmospheric radiative transfer model. The simulations are stored in hdf5 files using the Atmospheric Look-up table Generator (ALG) toolbox (https://doi.org/10.5194/gmd-13-1945-2020). Each dataset has an associated .xml file that includes the configuration of ALG/MODTRAN6 executions. All datasets include the input atmospheric/geometric variables that are summarized in the following table. Each dataset file has a random distribution (based on latin hypercube sampling) these input variables with varying number of points (e.g. train5…

Atmospheric correctionMuti-fidelityHyperspectralGaussian processesEmulationRadiative transfer models
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