Search results for "orologi"

showing 10 items of 140 documents

Pneumothorax and the environment: A systematic review of the impact of air pollution and meteorology, and a meta-analysis on meteorology factors.

2021

Abstract A relationship between the occurrence of spontaneous pneumothorax (SP) and meteorological factors has been observed but with contradictory results. The objectives of this systematic review was to synthesis the current body of evidence to the relationships between the occurrence of SP and environmental determinants such as meteorological factors and air pollutants. We conducted a systematic search of MEDLINE, Scopus, Cochrane Library and gray literature from inception up to 31st December 2020, to find published scientific research articles based on the following eligibility criteria: original studies and population-based articles describing the relationship between meteorological fa…

010504 meteorology & atmospheric sciencesMeteorological ConceptsHealth Toxicology and MutagenesisPopulationMEDLINEAir pollution010501 environmental sciencesCochrane LibraryToxicologymedicine.disease_cause01 natural sciencesMeteorologyAir pollutantsEnvironmental healthAir PollutionmedicineHumanseducation0105 earth and related environmental sciencesPotential impacteducation.field_of_studyAir PollutantsPneumothoraxGeneral MedicinePollutionMeta-analysisEnvironmental scienceSystematic searchEnvironmental pollution (Barking, Essex : 1987)
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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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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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Annually resolved δ<sup>2</sup>H tree-ring chronology of the lignin methoxyl groups from Germany reflects averaged Wester…

2019

Abstract. Stable hydrogen isotopes ratios of lignin methoxyl groups (expressed as δ2HLM) of wood have been shown to reflect the climate-sensitive δ2H values of precipitation (expressed as δ2Hprecip) modulated by a large uniform negative isotope fractionation. However, a detailed calibration study among temporal variabilities of δ2HLM in tree-ring series, site-specific δ2Hprecip and climate parameters has not been performed yet. Here, we present annually resolved δ2HLM values from nine tree-ring series (derived from four Fagus sylvatica L. trees) collected near stations of the Global Isotope Network of Isotopes in Precipitation (GNIP) and the Deutsche Wetterdienst (DWD) meteorological observ…

010506 paleontologyIsotopebiologybiology.organism_classificationAtmospheric sciences01 natural scienceschemistry.chemical_compoundSurface air temperatureIsotope fractionationFagus sylvaticachemistryMeteorological observatoryEnvironmental scienceLigninPrecipitation0105 earth and related environmental sciencesChronology
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Tree-ring δ2H values from lignin methoxyl groups indicate sensitivity to European-scale temperature changes

2020

Abstract Stable hydrogen isotope ratios of lignin methoxyl groups (δ2HLM) of wood have been shown to reflect climate-sensitive δ2H values of precipitation (δ2Hprecip). However, a detailed calibration study between high-resolution δ2HLM and δ2Hprecip data has not been performed yet. Here, we present annually resolved δ2HLM values from nine tree-ring series (derived from four Fagus sylvatica L. trees) collected near a station of the Global Isotope Network of Isotopes in Precipitation (GNIP) and the meteorological observatory at Hohenpeisenberg (Germany; ~48°N, 11°E). The nine δ2HLM tree-ring series show highly significant inter-series correlations (Rbar = 0.52) over the common period of overl…

010506 paleontologybiologyIsotopePaleontologyScale (descriptive set theory)010502 geochemistry & geophysicsOceanographybiology.organism_classificationAtmospheric sciences01 natural scienceschemistry.chemical_compoundchemistryFagus sylvaticaMeteorological observatoryDendrochronologyLigninPrecipitationEcology Evolution Behavior and SystematicsGeology0105 earth and related environmental sciencesEarth-Surface ProcessesChronologyPalaeogeography, Palaeoclimatology, Palaeoecology
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A genomic map of climate adaptation in Mediterranean cattle breeds

2019

International audience; Domestic species such as cattle (Bos taurus taurus and B. t. indicus) represent attractive biological models to characterize the genetic basis of short term evolutionary response to climate pressure induced by their post-domestication history. Here, using newly generated dense SNP genotyping data, we assessed the structuring of genetic diversity of 21 autochtonous cattle breeds from the whole Mediterranean basin and performed genome-wide association analyses with covariables discriminating the different Mediterranean climate sub-types. This provided insights into both the demographic and adaptive histories of Mediterranean cattle. In particular, a detailed functional…

0106 biological sciences0301 basic medicineMediterranean climateCandidate genehttp://aims.fao.org/aos/agrovoc/c_24002Polymorphisme génétiqueAcclimatizationBreedingMediterraneanFacteur climatiquehttp://aims.fao.org/aos/agrovoc/c_11701 natural sciencesMediterranean Basinhttp://aims.fao.org/aos/agrovoc/c_4397http://aims.fao.org/aos/agrovoc/c_1081http://aims.fao.org/aos/agrovoc/c_3225Phylogeny2. Zero hungerGenomeEcology[SDV.BA]Life Sciences [q-bio]/Animal biologyhttp://aims.fao.org/aos/agrovoc/c_24031Chromosome MappingGenomicsSNP genotypingRace (animal)http://aims.fao.org/aos/agrovoc/c_3373http://aims.fao.org/aos/agrovoc/c_2080http://aims.fao.org/aos/agrovoc/c_4940http://aims.fao.org/aos/agrovoc/c_4026Génotypelocal adaptationBétailThermotoleranceBehavior and SystematicGenotypeP40 - Météorologie et climatologiehttp://aims.fao.org/aos/agrovoc/c_29554EvolutionIntrogressionSNPBiologyhttp://aims.fao.org/aos/agrovoc/c_259010603 evolutionary biology03 medical and health sciencescattle climate genetics local adaptation Mediterranean SNPhttp://aims.fao.org/aos/agrovoc/c_3081GeneticsAnimalsAdaptationhttp://aims.fao.org/aos/agrovoc/c_4697http://aims.fao.org/aos/agrovoc/c_8013climateEcology Evolution Behavior and SystematicsLocal adaptationGenetic diversityhttp://aims.fao.org/aos/agrovoc/c_2503Genetic Variation15. Life on landL10 - Génétique et amélioration des animauxClimat méditerranéen030104 developmental biologyGenetics PopulationEvolutionary biologycattleCarte génétiquehttp://aims.fao.org/aos/agrovoc/c_7273Adaptationgenetic
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Species Richness, rRNA Gene Abundance, and Seasonal Dynamics of Airborne Plant-Pathogenic Oomycetes

2018

Oomycetes, also named Peronosporomycetes, are one of the most important and widespread groups of plant pathogens, leading to significant losses in the global agricultural productivity. They have been studied extensively in ground water, soil, and host plants, but their atmospheric transport vector is not well characterized. In this study, the occurrence of airborne Oomycetes was investigated by Sanger sequencing and quantitative PCR of coarse and fine aerosol particle samples (57 filter pairs) collected over a 1-year period (2006–2007) and full seasonal cycle in Mainz, Germany. In coarse particulate matter, we found 55 different hypothetical species (OTUs), of which 54 were plant pathogens …

0106 biological sciences0301 basic medicineMicrobiology (medical)Sanger sequencingSecondary infectionlcsh:QR1-50201 natural sciencesMicrobiologylcsh:Microbiology03 medical and health sciencesseasonal distributionqPCR analysisBotanyOriginal ResearchPeronosporomycetesbiologyCorrectionairborne OomycetesRibosomal RNAParticulatesbiology.organism_classificationplant pathogenmeteorological parameter030104 developmental biologyHyaloperonosporaPeronosporaPhytophthoraSpecies richnessHypothetical species010606 plant biology & botanyFrontiers in Microbiology
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Interspecific comparison of the performance of soaring migrants in relation to morphology, meteorological conditions and migration strategies.

2012

This is an open-access article distributed under the terms of the Creative Commons Attribution License.-- et al.

0106 biological sciencesAtmospheric PhenomenaAtmospheric ScienceBiologialcsh:MedicineComputingMilieux_LEGALASPECTSOFCOMPUTING01 natural sciences010605 ornithologyBehavioral EcologyOrnithologyAfrica NorthernZoologiaMeteorological conditionsMigration strategiesSpatial and Landscape EcologyZoologíaBiomechanicsAtmospheric Dynamicslcsh:ScienceMultidisciplinarybiologyEcologyAnimal BehaviorEcologyPhysicsFlight speedBird flightSeasonsResearch ArticleEagleMorphologyeducationBiophysics010603 evolutionary biologyAltitudeMeteorologybiology.animalAtmospheric StructuresAnimalsBiologyVultureMigratory performance of birdsGlobal wind patternsRaptorslcsh:RInterspecific competitionEarth Sciences1182 Biochemistry cell and molecular biologyAnimal Migrationlcsh:QPhysical geographyScale (map)Zoology
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Social process of adaptation to environmental changes: How eastern african societies intervene between crops and climate

2014

Abstract Studies on climate change can only be conducted on a long time scale, and observing how societies adapt their sowing practices to climate variability is challenging and costly. As an alternative, a space and time substitution design was used, changes in space corresponding to that induced in time by environmental change. On the eastern slope of Mount Kenya, the Tharaka community, originating from the lowlands (750 m), moved up to the midlands (950 m) with their lowland-adapted resources, whereas the Mwimbi, originating from wetter upland (1100 m), moved down to the midlands with their highland-adapted genetic resources. A weather station was installed at 950 and 1100 m, and a logis…

0106 biological sciencesAtmospheric ScienceEnsemencement010504 meteorology & atmospheric sciencesEnvironmental changeF08 - Systèmes et modes de cultureadaptation aux changements climatiqueshttp://aims.fao.org/aos/agrovoc/c_11701 natural scienceshttp://aims.fao.org/aos/agrovoc/c_2018http://aims.fao.org/aos/agrovoc/c_7142http://aims.fao.org/aos/agrovoc/c_72682. Zero hungerGlobal and Planetary ChangeAgroforestryEcologyAgriculturehttp://aims.fao.org/aos/agrovoc/c_203[ SDE.MCG ] Environmental Sciences/Global ChangesPratique culturaleGeography[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyCrop growth[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyP40 - Météorologie et climatologie[SDE.MCG]Environmental Sciences/Global ChangesClimate changeGrowing seasonSocietal impactsWeather stationAltitudehttp://aims.fao.org/aos/agrovoc/c_1374567058134E50 - Sociologie ruralehttp://aims.fao.org/aos/agrovoc/c_1666AdaptationClimate variability0105 earth and related environmental sciencesChangement climatiquebusiness.industrySowing15. Life on landhttp://aims.fao.org/aos/agrovoc/c_408613. Climate actionAgricultureSociologieAfricaAdaptationbusinessSocial Sciences (miscellaneous)010606 plant biology & botany
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A simple modelling of crop water balance for agrometeorological applications

1991

Abstract A simple agrometeorological model of crop water balance is presented. It aims at the best estimate possible of the water balance components with the simplest formulation and the minimum set of input data. The model works with a time step of one day and uses rainfall and the calculated evapotranspiration as the climatic inputs. Some soil and crop characteristics, such as the maximum available moisture and crop coefficients are required as input parameters. The model is tested using experimental data obtained on wheat and lucerne crops in the Paris region. The sensitivity of the model is discussed and some possible applications to rainfed crop management are presented.

0106 biological sciencesBILAN HYDRIQUEAgricultural engineeringTime step01 natural sciencesCropWater balanceSimple (abstract algebra)EvapotranspirationAGROMETEOROLOGIESensitivity (control systems)ComputingMilieux_MISCELLANEOUS2. Zero hungerMoistureEVAPOTRANSPIRATIONEcological Modeling04 agricultural and veterinary sciencesMODELISATIONCrop coefficient[SDE.BE] Environmental Sciences/Biodiversity and Ecology040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceRELATION SOL PLANTE[SDE.BE]Environmental Sciences/Biodiversity and Ecology010606 plant biology & botany
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