Search results for " weather"

showing 10 items of 148 documents

Impact of Initial Soil Temperature Derived from Remote Sensing and Numerical Weather Prediction Datasets on the Simulation of Extreme Heat Events

2016

Extreme heat weather events have received increasing attention and has become of special importance as they can remarkably affect sectors as diverse as public health, energy consumption, water resources, natural biodiversity and agricultural production. In this regard, summer temperatures have become a parameter of essential interest under a framework of a hypothetical increase in the number of intense-heat conditions. Thus, their forecast is a crucial aspect bearing in mind a mitigation of the effects and impacts that these intense-heat situations could produce. The current work tries to reach a better understanding of these sorts of situations that are really common over the Western Medit…

Mediterranean climatesummer temperaturessoil temperature010504 meteorology & atmospheric sciencesMeteorologyNumerical weather prediction/forecasting0208 environmental biotechnology02 engineering and technology01 natural sciencesMesoscale modellingSea breezeSoil temperaturelcsh:ScienceSummer temperaturesExtreme heat0105 earth and related environmental sciencesRemote sensingLSTnumerical weather prediction/forecastingAdvectionextreme heatFísica de la TierraOrographyNumerical weather prediction020801 environmental engineeringWater resourcesCurrent (stream)ClimatologyRegional Atmospheric Modeling SystemRAMS model; extreme heat; LST; soil temperature; summer temperatures; mesoscale modelling; numerical weather prediction/forecastingRAMS modelGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:Qmesoscale modelling
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Implementation of non-local boundary layer schemes in the Regional Atmospheric Modeling System and its impact on simulated mesoscale circulations

2016

This paper proposes the implementation of different non-local Planetary Boundary Layer schemes within the Regional Atmospheric Modeling System (RAMS) model. The two selected PBL parameterizations are the Medium-Range Forecast (MRF) PBL and its updated version, known as the Yonsei University (YSU) PBL. YSU is a first-order scheme that uses non-local eddy diffusivity coefficients to compute turbulent fluxes. It is based on the MRF, and improves it with an explicit treatment of the entrainment. With the aim of evaluating the RAMS results for these PBL parameterizations, a series of numerical simulations have been performed and contrasted with the results obtained using the Mellor and Yamada (M…

Meteorologie en LuchtkwaliteitAtmospheric ScienceMeteorology and Air Quality010504 meteorology & atmospheric sciencesMeteorologyNumerical weather prediction/forecastingPlanetary boundary layer0208 environmental biotechnologyMesoscale meteorologyTerrain02 engineering and technology01 natural sciencesWind speedEddy diffusionMesoscale modelling0105 earth and related environmental sciencesNon-local schemesWIMEKFísica de la TierraEntrainment (meteorology)020801 environmental engineeringPBL parameterizationBoundary layerBoundary layerRegional Atmospheric Modeling SystemRAMS modelEnvironmental science
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Could the recent zika epidemic have been predicted?

2017

AbstractGiven knowledge at the time, the recent 2015-2016 zika virus (ZIKV) epidemic probably could not have been predicted. Without the prior knowledge of ZIKV being already present in South America, and given the lack of understanding of key epidemiologic processes and long-term records of ZIKV cases in the continent, the best related prediction was for potential risk of an Aedes-borne disease epidemic. Here we use a recently published two-vector capacity model to assess the predictability of the conditions conducive to epidemics of diseases like zika, chikungunya or dengue, transmitted by the independent or concurrent presence of Aedes aegypti and Aedes albopictus. We compare the potenti…

Microbiology (medical)Aedes-borne diseasesLatin AmericanschikungunyaAedes albopictus010504 meteorology & atmospheric sciencesEpidemiologyzika030231 tropical medicinelcsh:QR1-502Aedes aegyptimedicine.disease_cause01 natural sciencesMicrobiologylcsh:MicrobiologyZika viruslaw.inventionZika virusDengue feverLong-range weather forecasting03 medical and health sciences0302 clinical medicinelawpredictabilitymedicineChikungunyaPredictabilityclimateEpidemics--ForecastingOriginal Research0105 earth and related environmental sciencesbiologyMosquitoes as carriers of diseasebiology.organism_classificationmedicine.diseaseVirologydengueGeographyTransmission (mechanics)R0 modelBasic reproduction numberDemography
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Elemental geochemistry of soils from the volcanic island of Pantelleria, Sicily: implications for Moscato wine production.

2006

The volcanic island of Pantelleria produces a naturally sweet wine Moscato di Pantelleria DOC obtained from the «Moscato d'Alessandria» (or «Zibibbo»), a grape favoured by hot climate. Geochemical and mineralogical investigations performed on soil profiles devoloped on rocks representative of the major outcropping lithologies (pantellerite, trachyte and alkalic basalt) show that the soils have preserved the parent material imprint. Consistently, values of the chemical index of alteration (CIA) indicate a low to moderate weathering degree for the rocks exposed in the Pantelleria area and consequently a low to moderate soil evolution. Soil-solution chemical analyses highlight that macro- and …

Moscato di Pantelleroa DOC wine Grape ripening Volcanic soils Chemical weathering Sicily
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Lithium isotope evidence for enhanced weathering and erosion during the Paleocene-Eocene Thermal Maximum.

2021

Description

MultidisciplinaryEarth Environmental Ecological and Space Sciences010504 meteorology & atmospheric sciencesIsotopes of lithiumGeochemistrychemistry.chemical_elementSciAdv r-articlesGeology15. Life on land010502 geochemistry & geophysics01 natural sciencesGeochemistrychemistry13. Climate actionCarbon isotope excursionErosionEnhanced weatheringPeriod (geology)Environmental scienceWater cycleCarbon0105 earth and related environmental sciencesResearch ArticleScience advances
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Association between climate and new daily diagnoses of COVID-19

2020

AbstractBackgroundAlthough evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks, uncertainty remains concerning the real impact of climate factors on viral transmission. Methods. The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto Region, while information on daily weather parameters in the same area was downloaded from IlMeteo website, a renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 to November 11, 2020. The number of new daily COVID-19 cases and meteorological da…

Multivariate analysisCoronavirus disease 2019 (COVID-19)Leadership and ManagementStrategy and Management2020. The number of new daily COVID-19 cases and meteorological data in Verona were correlated using both univariate and multivariate analysis. Results: The number of daily COVID-19 diagnoses in Verona was positively associated with the number of days in lockdown and humidity1% decrease in humidityWind speedmin and max temperatureand influence the likelihood or course of local COVID-19 outbreaks. Preventive measuresHealth Information Managementa renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 and November 11mean air temperature1.2% and 5.4% reduction in new COVID-19 daily diagnoses. A significant difference was observed in values of all-weather parameters recorded in Verona between days with &ltHealth Policy1 km/h increase in wind speed and day with rainfall were independently associated with 1.0%Significant differencehumidityUnivariateOutbreakHumidityand inversely correlated with meanmean wind speed and number of days with rainfall. Days of lockdownwhile information on daily weather parameters in the same area was downloaded from IlMeteo websitetesting policies and hospital preparedness should be reinforced during periods of higher meteorological risk and in local environments with adverse climate conditions.Background: Although evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks0.3%uncertainty remains concerning the real impact of climate factors on viral transmission. Methods: The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto RegionGeography100 or ≥100 new daily COVID-19 diagnoses. Conclusions: Climate conditions may play an essential role in conditions of viral transmissionAir temperaturemean wind speed and number of days with rainfall remained significantly associated in multivariate analysis. The four weather parameters contributed to explaining 61% of variance in new daily COVID-19 diagnoses. Each 1% increase in air temperatureBackground: Although evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks uncertainty remains concerning the real impact of climate factors on viral transmission. Methods: The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto Region while information on daily weather parameters in the same area was downloaded from IlMeteo website a renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 and November 11 2020. The number of new daily COVID-19 cases and meteorological data in Verona were correlated using both univariate and multivariate analysis. Results: The number of daily COVID-19 diagnoses in Verona was positively associated with the number of days in lockdown and humidity and inversely correlated with mean min and max temperature mean wind speed and number of days with rainfall. Days of lockdown mean air temperature humidity mean wind speed and number of days with rainfall remained significantly associated in multivariate analysis. The four weather parameters contributed to explaining 61% of variance in new daily COVID-19 diagnoses. Each 1% increase in air temperature 1% decrease in humidity 1 km/h increase in wind speed and day with rainfall were independently associated with 1.0% 0.3% 1.2% and 5.4% reduction in new COVID-19 daily diagnoses. A significant difference was observed in values of all-weather parameters recorded in Verona between days with <100 or ≥100 new daily COVID-19 diagnoses. Conclusions: Climate conditions may play an essential role in conditions of viral transmission and influence the likelihood or course of local COVID-19 outbreaks. Preventive measures testing policies and hospital preparedness should be reinforced during periods of higher meteorological risk and in local environments with adverse climate conditions.DemographyJournal of Hospital Management and Health Policy
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Life Cycle Study of a Diabatic Rossby Wave as a Precursor to Rapid Cyclogenesis in the North Atlantic—Dynamics and Forecast Performance

2011

Monthly Weather Review, 139 (6)

North Atlantic OceanAtmospheric ScienceCyclogenesis/cyclolysisBaroclinityRossby waveNumerical weather predictionRossby waves; Cyclogenesis/cyclolysis; North Atlantic Ocean; Numerical weather prediction; DynamicsForcing (mathematics)Rossby wavesDynamicsPotential vorticityMesoscale convective vortexClimatologyCyclogenesisExtratropical cycloneTropical cycloneGeologyMonthly Weather Review
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The lithium and magnesium isotope signature of olivine dissolution in soil experiments

2021

Abstract This study presents lithium and magnesium isotope ratios of soils and their drainage waters from a well-characterised weathering experiment with two soil cores, one with olivine added to the surface layer, and the other a control core. The experimental design mimics olivine addition to soils for CO2 sequestration and/or crop fertilisation, as well as natural surface addition of reactive minerals such as during volcanic deposition. More generally, this study presents an opportunity to better understand how isotopic fractionation records weathering processes. At the start of the experiment, waters draining both cores have similar Mg isotope composition to the soil exchangeable pool. …

OlivineStable isotope ratioGeologyWeathering010501 environmental sciencesengineering.material010502 geochemistry & geophysics01 natural sciences6. Clean waterchemistry.chemical_compoundchemistry13. Climate actionGeochemistry and PetrologyEnvironmental chemistrySoil waterEnhanced weatheringengineeringCarbonateDissolutionDeposition (chemistry)Geology0105 earth and related environmental sciencesChemical Geology
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Forecasting Adverse Weather Situations in the Road Network

2016

Weather is an important factor that affects traffic flow and road safety. Adverse weather situations affect the driving conditions directly; hence, drivers must be informed about the weather conditions downstream to adapt their driving. In the framework of intelligent transport systems, several systems have been developed to know the weather situations and inform drivers. However, these systems do not forecast weather in advance, and they need the support of road operators to inform drivers. This paper presents a new autonomous system to forecast weather conditions in a short time and to give users the information obtained. The system uses a set of algorithms and rules to determine the weat…

Operations researchComputer sciencemedia_common.quotation_subjectTransport per carreteraexpert systems02 engineering and technologyInvestigació0502 economics and business0202 electrical engineering electronic engineering information engineeringRoad Weather Information SystemQuality (business)MeteorologiaSet (psychology)Intelligent transportation systemDownstream (networking)media_commonintelligent transport systems (ITS)050210 logistics & transportationAdverse weatherSeguretat viàriaMechanical Engineeringmultiagent system05 social sciencesTraffic flowComputer Science ApplicationsAutomotive EngineeringAccidents Prevenció020201 artificial intelligence & image processingAutonomous system (mathematics)
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An informal procedure to detect outliers in multilevel models

2008

Outliers HLM PM10 weather variablesSettore SECS-S/01 - Statistica
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