Search results for " Modelling"

showing 10 items of 1055 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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Including an environmental quality index in a demographic model

2016

This paper presents a new well-being index which allows environmental quality to be measured through CO2 emissions, renewable energies and nuclear power. Its formula derives from a geometric mean used to calculate which things in the human production system warm the planet and which do not. This index has been introduced into a gender-defined stochastic population dynamic mathematical model which measures well-being in a country. The main variables in this model are rates of death, birth, emigration and immigration, as well as three UN indices: Human Development Index, Gender Development Index and Gender Empowerment Index. This model has been extended with variables that allow an environmen…

Atmospheric Science050402 sociologyIndex (economics)Stochastic modellingWell-beingPopulationSustainable development.02 engineering and technologyManagement Monitoring Policy and Law0504 sociology0202 electrical engineering electronic engineering information engineeringEconomicsEconometricsGender Development IndexHuman Development IndexeducationEnvironmental qualityEnvironmental qualitySustainable developmentGlobal and Planetary Changeeducation.field_of_studybusiness.industry05 social sciencesEnvironmental resource managementDemographic modelSustainability020201 artificial intelligence & image processingMATEMATICA APLICADAbusinessInternational Journal of Global Warming
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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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Improved meteorology and surface fluxes in mesoscale modelling using adjusted initial vertical soil moisture profiles

2018

The Regional Atmospheric Modeling System (RAMS) is being used for different and diverse purposes, ranging from atmospheric and dispersion of pollutants forecasting to agricultural meteorology and ecological modelling as well as for hydrological purposes, among others. The current paper presents a comprehensive assessment of the RAMS forecasts, comparing the results not only with observed standard surface meteorological variables, measured at FLUXNET stations and other portable and permanent weather stations located over the region of study, but also with non-standard observed variables, such as the surface energy fluxes, with the aim of evaluating the surface energy budget and its relation …

Atmospheric ScienceGround truth010504 meteorology & atmospheric sciencesMoistureMeteorologySurface fluxes0208 environmental biotechnologyRAMSFísica de la TierraMesoscale meteorology02 engineering and technology01 natural sciences020801 environmental engineeringMesoscale modellingData assimilationFluxNetRegional Atmospheric Modeling SystemSoil horizonEnvironmental scienceMeteorologiaSoil moistureModel initializationWater content0105 earth and related environmental sciences
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Estimation of the spatially distributed surface energy budget for AgriSAR 2006, part II : Integration of remote sensing and hydrologic modeling

2011

In most hydrologic modeling studies, the hypothesis is made that an improvement in the modeled soil moisture leads to an improvement in the modeled surface energy balance. The objective of this paper is to assess whether this hypothesis is true. The study was performed over the winter wheat fields in the AgriSAR 2006 domain. Remotely sensed soil moisture values and latent heat fluxes were used, in combination with in situ observations. First, the land cover and saturated subsurface flow parameters were estimated using the in situ observations. A spatially distributed model simulation was then performed, for which the Brooks-Corey parameters were derived from a soil texture map, and of which…

Atmospheric ScienceMoistureSoil textureHydrological modellingMETIS-303906Soil scienceLand coverLatent heatEvapotranspirationSoil horizonEnvironmental scienceComputers in Earth SciencesWater contentRemote sensing
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A study on the sensitivities of simulated aerosol optical properties to composition and size distribution using airborne measurements

2014

We present a flexible framework to calculate the optical properties of atmospheric aerosols at a given relative humidity based on their composition and size distribution. The similarity of this framework to climate model parameterisations allows rapid and extensive sensitivity tests of the impact of uncertainties in data or of new measurements on climate relevant aerosol properties. The data collected by the FAAM BAe-146 aircraft during the EUCAARI-LONGREX and VOCALS-REx campaigns have been used in a closure study to analyse the agreement between calculated and measured aerosol optical properties for two very different aerosol types. The agreement achieved for the EUCAARI-LONGREX flights is…

Atmospheric ScienceOptical propertiesScatteringChemistryAnthropogenic aerosolsCarbon blackAtmospheric sciencesAerosolEnvironmental Science(all)13. Climate actionAerosol modellingClimate modelRelative humidityAerosol compositionAbsorption (electromagnetic radiation)HygroscopicityRefractive indexAircraft measurementsGeneral Environmental ScienceVisible spectrumAtmospheric Environment
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Two-days ahead prediction of daily maximum concentrations of SO2, O3, PM10, NO2, CO in the urban area of Palermo, Italy

2007

Abstract Artificial neural networks are functional alternative techniques in modelling the intricate vehicular exhaust emission dispersion phenomenon. Pollutant predictions are notoriously complex when using either deterministic or stochastic models, which explains why this model was developed using a neural network. Neural networks have the ability to learn about non-linear relationships between the used variables. In this paper a recurrent neural network (Elman model) based forecaster for the prediction of daily maximum concentrations of SO2, O3, PM10, NO2, CO in the city of Palermo is proposed. The effectiveness of the presented forecaster was tested using a time series recorded between …

Atmospheric ScienceRecurrent neural networkArtificial neural networkCorrelation coefficientMeteorologyMean squared errorStochastic modellingForecast skillStatistical dispersionAir quality indexGeneral Environmental ScienceMathematicsAtmospheric Environment
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Pumps as turbines (PATs) in water distribution networks affected by intermittent service

2013

A hydraulic model was developed in order to evaluate the potential energy recovery from the use of centrifugal pumps as turbines (PATs) in a water distribution network characterized by the presence of private tanks. The model integrates the Global Gradient Algorithm (GGA), with a pressure-driven model that permits a more realistic representation of the influence on the network behaviour of the private tanks filling and emptying. The model was applied to a real case study: a District Metered Area in Palermo (Italy). Three different scenarios were analysed and compared with a baseline scenario (Scenario 0 – no PAT installed) to identify the system configuration with added PATs that permits th…

Atmospheric ScienceService (systems architecture)geographyEngineeringgeography.geographical_feature_categorybusiness.industryNode (networking)Monte Carlo methodGeotechnical Engineering and Engineering GeologyCentrifugal pumpInletpressure-driven demandenergy productionwater distribution networkshydraulic modellingNetwork performancepump as turbineBaseline (configuration management)businessDownstream (networking)SimulationCivil and Structural EngineeringWater Science and TechnologyMarine engineeringJournal of Hydroinformatics
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Implementation of the Community Earth System Model (CESM) version 1.2.1 as a new base model into version 2.50 of the MESSy framework

2016

Abstract. The Community Earth System Model (CESM1), maintained by the United States National Centre for Atmospheric Research (NCAR) is connected with the Modular Earth Submodel System (MESSy). For the MESSy user community, this offers many new possibilities. The option to use the Community Atmosphere Model (CAM) atmospheric dynamical cores, especially the state-of-the-art spectral element (SE) core, as an alternative to the ECHAM5 spectral transform dynamical core will provide scientific and computational advances for atmospheric chemistry and climate modelling with MESSy. The well-established finite volume core from CESM1(CAM) is also made available. This offers the possibility to compare …

Atmospheric physics010504 meteorology & atmospheric sciencesMeteorologyProcess (engineering)Computer scienceEarth System ModellingAtmospheric model01 natural sciencesModular Earth Submodel System (MESSy)Component (UML)Erdsystem-ModellierungCode (cryptography)0101 mathematics0105 earth and related environmental sciencesStructure (mathematical logic)EMACbusiness.industrylcsh:QE1-996.5Modular designlcsh:Geology010101 applied mathematicsCESM1Atmospheric chemistrySystems engineeringAir Chemistrybusiness
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Green composites based on biodegradable polymers and anchovy (Engraulis Encrasicolus) waste suitable for 3D printing applications

2022

Every day large amounts of fish waste are produced and grossly discarded in markets around the world causing environmental and hygiene issue. The use of these scraps for the production of materials with higher added value can definitely contributed to solve this problem. In this work, 10% and 20% of anchovy fishbone powder (EE), obtained by market waste, were microbiological and mechanical tested and subsequently added to polylactic acid (PLA) and to a commercial blend of biodegradable co-polyesters (Mater-Bi®). Rheological characterization suggests the potential printability of all prepared composites filaments. 10% EE filled composites showed outstanding printability. Morphological analys…

B. Mechanical propertiesE. 3D printingEngraulis encrasicolusC. Material modellingA. Bio compositesSettore ICAR/13 - Disegno IndustrialeGeneral EngineeringCeramics and CompositesD. Scanning electron microscopy (SEM)Composites Science and Technology
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