Search results for "Weather"

showing 10 items of 360 documents

Proposal and Validation of an Emissivity-Dependent Algorithm to Retrieve Sea-Surface Temperature From MSG-SEVIRI Data

2010

A frequent and accurate determination of sea-surface temperature (SST) would permit an improvement in both the forecasting of natural hazards and the monitoring of the effects of climate change. The Meteosat Second Generation (MSG) spinning enhanced visible and infrared imager (SEVIRI) (MSG-SEVIRI) offers this possibility, since it has a temporal resolution of 15 min. Current algorithms for SST retrieval from MSG-SEVIRI data use angular-dependent coefficients, but they do not use sea-surface emissivity (SSE) as an explicit input. This letter proposes a both angular- and emissivity-dependent split-window equation, together with simple equations to estimate SSE and atmospheric water-vapor con…

MeteorologyInfraredWeather forecastingAtmospheric modelGeotechnical Engineering and Engineering Geologycomputer.software_genreSea surface temperatureTemporal resolutionEmissivityEnvironmental scienceAlgorithm designElectrical and Electronic EngineeringSpinningcomputerAlgorithmPhysics::Atmospheric and Oceanic PhysicsRemote sensingIEEE Geoscience and Remote Sensing Letters
researchProduct

The Satellite Application Facility for Land Surface Analysis

2011

Information on land surface properties finds applications in a range of areas related to weather forecasting, environmental research, hazard management and climate monitoring. Remotely sensed observations yield the only means of supplying land surface information with adequate time sampling and a wide spatial coverage. The aim of the Satellite Application Facility for Land Surface Analysis (Land-SAF) is to take full advantage of remotely sensed data to support land, land-atmosphere and biosphere applications, with emphasis on the development and implementation of algorithms that allow operational use of data from European Organization for the Exploitation of Meteorological Satellites (EUMET…

MeteorologyLongwaveWeather forecastingBiosphereVegetationAlbedocomputer.software_genreEvapotranspirationGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteSurface watercomputerRemote sensingInternational Journal of Remote Sensing
researchProduct

Automatic classification-based generation of thermal infrared land surface emissivity maps using AATSR data over Europe

2012

The remote sensing measurement of land surface temperature from satellites provides a monitoring of this magnitude on a continuous and regular basis, which is a critical factor in many research fields such as weather forecasting, detection of forest fires or climate change studies, for instance. The main problem of measuring temperature from space is the need to correct for the effects of the atmosphere and the surface emissivity. In this work an automatic procedure based on the Vegetation Cover Method, combined with the GLOBCOVER land surface type classification, is proposed. The algorithm combines this land cover classification with remote sensing information on the vegetation cover fract…

MeteorologyWeather forecastingSoil ScienceClimate changeMagnitude (mathematics)Land surface emissivityVegetation coverGeologyAATSRAATSRLand covercomputer.software_genreTemperature measurementAtmosphereGlobcoverEmissivityEnvironmental scienceComputers in Earth SciencesLENGUAJES Y SISTEMAS INFORMATICOScomputerLand surface temperatureRemote sensingRemote Sensing of Environment
researchProduct

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
researchProduct

Rare-earth elements and yttrium distributions in mangrove coastal water systems: The western Gulf of Thailand

2005

The concentration of rare-earth elements and yttrium (REY) was investigated in dissolved phase, suspended particulate matter, and seafloor sediments of the western coastal area of the Gulf of Thailand. The samples show Eu and Gd positive anomalies in the shale-normalized REY patterns, especially in the suspended particulate matter. On the other hand, a very high REE content was detected in the coastal waters, probably due to the weathering produced by the Mae Klong river waters on rare-earth element (REE)-rich accessory minerals coming from terrains and mineral deposits cropping out in the studied area. The shale-normalized patterns of yttrium and REE estimated for the dissolved phase show …

MineralEcologySettore BIO/02 - Botanica SistematicaRare earthGeochemistrychemistry.chemical_elementSedimentWeatheringYttriumParticulatesRare-earth elements Gulf of Thailand Eu and Gd anomaliesSeafloor spreadingOceanographychemistryGeneral Earth and Planetary SciencesMangroveEcology Evolution Behavior and SystematicsGeologyGeneral Environmental ScienceChemistry and Ecology
researchProduct

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
researchProduct

Weather impacts on interactions between nesting birds, nest-dwelling ectoparasites and ants.

2022

AbstractWeather has a dominant impact on organisms, including their life histories and interspecific interactions. Yet, for nesting birds, and the arthropods inhabiting bird nests, the direct and cascading effects of weather are poorly known. We explored the influence of ambient temperatures and rainfall on the cohabitation of dome-shaped bird nests by Wood Warblers Phylloscopus sibilatrix, their blowfly Protocalliphora azurea ectoparasites, and predatory Myrmica and Lasius ants that may provide nest sanitation. We sampled blowflies and ants in 129 nests, and measured warbler nestlings during 2018–2020 in the primeval Białowieża Forest, eastern Poland. The probability of ectoparasites occur…

MultidisciplinaryAntsPredatory BehaviorAnimalsPasseriformesForestsWeatherArthropodsEcology and EnvironmentNesting BehaviorScientific reports
researchProduct

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
researchProduct

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
researchProduct

Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study

2021

Background: Exposure to cold or hot temperatures is associated with premature deaths. We aimed to evaluate the global, regional, and national mortality burden associated with non-optimal ambient temperatures. Methods: In this modelling study, we collected time-series data on mortality and ambient temperatures from 750 locations in 43 countries and five meta-predictors at a grid size of 0·5° × 0·5° across the globe. A three-stage analysis strategy was used. First, the temperature–mortality association was fitted for each location by use of a time-series regression. Second, a multivariate meta-regression model was built between location-specific estimates and meta-predictors. Finally, the gri…

Multivariate statisticsHot TemperatureHealth (social science)Grid sizeMedicine (miscellaneous)mortality ratemedical researchtemperature mortalityBackground exposureGE1-350residentBurden of MortalityAmbient temperature610 Medicine & healthThree stageHealth PolicyMortality rateadultpublic healthTemperaturearticlePublic Health Global Health Social Medicine and EpidemiologyCold TemperatureGeographyfemaleModelling Studyweatherenvironmental temperatureAvaliação do Risco360 Social problems & social servicesNon-optimal Ambient TemperaturesAsiaClimate Change610 Medicine & healthEastern Europemale360 Social problems & social servicescontrolled studyhumanMortalityNational healthAustraliaPublic Health Environmental and Occupational Healthmajor clinical studyEnvironmental sciencesPremature deathFolkhälsovetenskap global hälsa socialmedicin och epidemiologiAfrica south of the SaharaResearch counciltime series analysiscold stressheatDeterminantes da Saúde e da DoençaDemography
researchProduct