Search results for "Wolkenphysik und Verkehrsmeteorologie"

showing 6 items of 6 documents

Microphysical and radiative characterization of a subvisible midlevel Arctic ice cluod by airborne observations - a case study

2009

During the Arctic Study of Tropospheric Aerosol, Clouds and Radiation (ASTAR) campaign, which was conducted in March and April 2007, an optically thin ice cloud was observed south of Svalbard at around 3 km altitude. The microphysical and radiative properties of this particular subvisible midlevel cloud were investigated with complementary remote sensing and in situ instruments. Collocated airborne lidar remote sensing and spectral solar radiation measurements were performed at a flight altitude of 2300 m below the cloud base. Under almost stationary atmospheric conditions, the same subvisible midlevel cloud was probed with various in situ sensors roughly 30 min later. <br><br> …

Atmospheric Science010504 meteorology & atmospheric sciencesASTARArktische GrenzschichtMischphasenwolken[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/MeteorologyAtmospheric sciences01 natural sciences010309 opticslcsh:Chemistry0103 physical sciencesRadiative transferPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesRemote sensing[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]geographyIce cloudLidargeography.geographical_feature_categoryIce crystalsNephelometerCloud topArctic ice packlcsh:QC1-999Lidarlcsh:QD1-99913. Climate actionCloud albedoEnvironmental scienceAstrophysics::Earth and Planetary Astrophysicslcsh:PhysicsWolkenphysik und Verkehrsmeteorologie
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Utility of Hovmöller diagrams to diagnose Rossby wave trains

2011

The study investigates and compares various methods that aim to diagnose Rossby wave trains with the help of Hovm¨ oller diagrams. Three groups of methods are distinguished: The first group contains trough-and-ridge Hovm¨ oller diagrams of the meridional wind; they provide full phase information, but differ in the method for latitudinal averaging or weighting. The second group aims to identify Rossby wave trains as a whole, discounting individual troughs and ridges. The third group contains diagnostics which focus on physical mechanisms during the different phases of a Rossby wave train life cycle; they include the analysis of eddy kinetic energy and methods for quantifying Rossby wave brea…

Atmospheric Science010504 meteorology & atmospheric sciencesMeteorology010505 oceanographyMeridional windRossby wavePhase (waves)Eddy kinetic energy910 Geography & travelOceanographysinoptic meteorology01 natural sciencesWeightingRossby waveEarth sciencesHovmöller diagramspredictabilityddc:550TrainStatistical physics910 Geography & travelFocus (optics)0105 earth and related environmental sciencesMathematicsWolkenphysik und Verkehrsmeteorologie
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Microphysical and optical properties of Arctic mixed-phase clouds. The 9 April 2007 case study.

2009

Abstract. Airborne measurements in Arctic boundary-layer stratocumulus were carried out near Spitsbergen on 9 April 2007 during the Arctic Study of Tropospheric Aerosol, Clouds and Radiation (ASTAR) campaign. A unique set of co-located observations is used to describe the cloud properties, including detailed in situ cloud microphysical and radiation measurements along with airborne and co-located spaceborne remote sensing data (Lidar on Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations [CALIPSO] and radar on CloudSat satellites). The CALIPSO profiles evidence a cloud top temperature which varies between −24°C and −21°C. The in situ cloud observations reveal that the attenua…

Atmospheric ScienceASTARArktische Grenzschicht010504 meteorology & atmospheric sciencesBackscatterCloud coverCALIPSOMischphasenwolken010502 geochemistry & geophysicsAtmospheric sciences01 natural sciences010309 opticslcsh:Chemistry0103 physical sciencesPrecipitation0105 earth and related environmental sciencesLidarIce crystalsCloud toplcsh:QC1-999Lidarlcsh:QD1-999Arctic13. Climate actionExtinction (optical mineralogy)Environmental sciencelcsh:PhysicsWolkenphysik und VerkehrsmeteorologieAtmospheric Chemistry and Physics
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Lidar characterization of the Arctic atmosphere during ASTAR 2007: Four cases studies of boundary layer, mixed-phase and multi-layer clouds

2010

During the Arctic Study of Tropospheric Aerosol, Clouds and Radiation (ASTAR), which was conducted in Svalbard in March and April 2007, tropospheric Arctic clouds were observed with two ground-based backscatter lidar systems (micro pulse lidar and Raman lidar) and with an airborne elastic lidar. In the time period of the ASTAR 2007 campaign, an increase in low-level cloud cover (cloud tops below 2.5 km) from 51% to 65% was observed above Ny-Ålesund. Four different case studies of lidar cloud observations are analyzed: With the ground-based Raman lidar, a layer of spherical particles was observed at an altitude of 2 km after the dissolution of a cloud. The layer probably consisted of small h…

Atmospheric ScienceASTARArktische Grenzschicht010504 meteorology & atmospheric sciencesCloud coverMischphasenwolkenAtmospheric sciences01 natural scienceslcsh:Chemistry010309 opticsAtmosphereTroposphere0103 physical sciences0105 earth and related environmental sciencesRemote sensingLidarCloud topOrographylcsh:QC1-999Boundary layerLidarlcsh:QD1-999Arctic13. Climate actionEnvironmental sciencelcsh:PhysicsWolkenphysik und Verkehrsmeteorologie
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SAL—A Novel Quality Measure for the Verification of Quantitative Precipitation Forecasts

2008

Abstract A novel object-based quality measure, which contains three distinct components that consider aspects of the structure (S), amplitude (A), and location (L) of the precipitation field in a prespecified domain (e.g., a river catchment) is introduced for the verification of quantitative precipitation forecasts (QPF). This quality measure is referred to as SAL. The amplitude component A measures the relative deviation of the domain-averaged QPF from observations. Positive values of A indicate an overestimation of total precipitation; negative values indicate an underestimation. For the components S and L, coherent precipitation objects are separately identified in the forecast and obser…

Atmospheric ScienceMatching (statistics)MeteorologyforecastDiagramprecipitationForecast verificationMeasure (mathematics)Displacement (vector)AmplitudeQuantitative precipitation forecastPrecipitationverificationWolkenphysik und VerkehrsmeteorologieradarMathematicsMonthly Weather Review
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Aircraft type influence on contrail properties

2013

The investigation of the impact of aircraft parameters on contrail properties helps to better understand the climate impact from aviation. Yet, in observations, it is a challenge to separate aircraft and meteorological influences on contrail formation. During the CONCERT campaign in November 2008, contrails from 3 Airbus passenger aircraft of types A319-111, A340-311 and A380-841 were probed at cruise under similar meteorological conditions with in situ instruments on board DLR research aircraft Falcon. Within the 2 min-old contrails detected near ice saturation, we find similar effective diameters Deff (5.2–5.9 μm), but differences in particle number densities nice (162–235 cm−3) and…

Atmospheric ScienceMeteorologyParticle numberMicrophysicsAviationbusiness.industryAtmosphärische SpurenstoffeInitializationaircraft typecontrailAtmospheric scienceslcsh:QC1-999aircraft effectlcsh:ChemistryOn boardlcsh:QD1-999Fuel flowddc:550Environmental scienceCirrusRelative humiditybusinessclimatelcsh:PhysicsWolkenphysik und Verkehrsmeteorologie
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