Search results for "Atmospheric Physics"

showing 6 items of 6 documents

A Precise Photometric Ratio via Laser Excitation of the Sodium Layer II: Two-photon Excitation Using Lasers Detuned from 589.16 nm and 819.71 nm Reso…

2020

This article is the second in a pair of articles on the topic of the generation of a two-color artificial star (which we term a "laser photometric ratio star," or LPRS) of de-excitation light from neutral sodium atoms in the mesosphere, for use in precision telescopic measurements in astronomy and atmospheric physics, and more specifically for the calibration of measurements of dark energy using type Ia supernovae. The two techniques respectively described in both this and the previous article would each generate an LPRS with a precisely 1:1 ratio of yellow (589/590 nm) photons to near-infrared (819/820 nm) photons produced in the mesosphere. Both techniques would provide novel mechanisms f…

Atmospheric physicsPhotonCosmology and Nongalactic Astrophysics (astro-ph.CO)FOS: Physical sciencesAstrophysics::Cosmology and Extragalactic Astrophysicslaw.inventionTelescopetechniques: photometricsymbols.namesakeOpticslawAstrophysics::Solar and Stellar AstrophysicsRayleigh scatteringdark energyInstrumentation and Methods for Astrophysics (astro-ph.IM)Astrophysics::Galaxy AstrophysicsPhysicsbusiness.industryAstrophysics::Instrumentation and Methods for AstrophysicsSodium layerAstronomy and AstrophysicstelescopesPolarization (waves)Laser[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]instrumentation: miscellaneousWavelengthphotometric methods[SDU]Sciences of the Universe [physics]Space and Planetary SciencesymbolsAstrophysics::Earth and Planetary Astrophysicsmethods: observationalbusinesstechniquesAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - Cosmology and Nongalactic Astrophysics
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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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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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A more cost-effective geomatic approach to modelling PM10 dispersion across Europe

2014

International audience; PM10 concentrations in most major European cities exceed the limits set by the European Directive and are expected to continue to do so in the coming years. Moreover, PM10s can be transported over long distances impacting air quality, public health and ecosystem functionality far from their sources of emission. Modelling remains one of the only options for tracking PM10 deposition in remote areas with no monitoring stations. Even so, air pollution models based on atmospheric physics usually imply substantial economic, logistical and computational investment. In this work, we present a new geomatic approach to modelling mean annual PM10 concentrations across Europe. O…

PollutionAtmospheric physicsMeteorologyMean squared errormedia_common.quotation_subjectGeography Planning and DevelopmentGeomaticsair pollutionAir pollutionLand covermedicine.disease_cause7. Clean energy[ SHS.GEO ] Humanities and Social Sciences/Geography11. SustainabilitymedicineAir quality indexEuropean scaleGeneral Environmental Sciencemedia_commonRemote sensingPixelbusiness.industrygeomatic modellingForestry[SHS.GEO]Humanities and Social Sciences/GeographyGeography13. Climate actionTourism Leisure and Hospitality ManagementPM10 dispersionbusiness
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Okeāniskās un kontinentālās gaisa masas Latvijā

2006

Promocijas darba mērķis ir noteikt un raksturot okeāniskās un kontinentālās gaisa masas Latvijā, raksturot gaisa masu dinamikas saistību ar dabas gada ritmiem, un izvērtēt okeānisko un kontinentālo gaisa masu īpatsvara ietekmi uz klimatisko un ainavekoloģisko atšķirību veidošanos Latvijā, kas atrodas pārejas posmā jeb ekotonā (boreonemorālā starpzona) starp abām galvenajām - boreālo un nemorālo - Eiropas mežu zonām; te okeāniskā tips klimats pāriet kontinentālajā.

MeteoroloģijaDinamic meteorology:NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences [Research Subject Categories]Gaisa masas LatvijāDinamiskā meteoroloģijaAtmospheric physicsOkeāniskās gaisa masasAtmosfēras fizikaAir massesKontinentālās gaisa masas
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Aircraft measurements of aerosol particles and trace gases over the Southern Baltic Sea during the BALTIC'15 campaign in 2015

2019

During the BALTIC'15 campaign, conducted in August 2015 over the Southern Baltic Sea, trace gasses (CO2/O3/NOy/SO2) and aerosol particles (number concentration of total/non-volatile/Aitken mode/ Accumulation mode/Coarse mode/refractory black carbon, aerosol extinction coefficient, mass concentration of refractory black carbon were measured). Observations were performed on board of the Alfred Wegener Institute research aircraft Polar 5 during 4 flights: - Scientific flight 1 (SF1) 26 August 2015 - Scientific flight 2 (SF2) 28 August 2015 - Scientific flight 3 (SF3) 28 August 2015 - Scientific flight 4 (SF4) 30 August 2015

particleBaltic Seaextinctionair pollutionO3SO2NOyblack carbonmarine trafficAtmospheric Physics @ AWI (AWI_AtmoPhy)marine boundary layerShip emissionBALTIC'15CO2
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