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  • PANGAEA  (342)
  • Springer Nature  (3)
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  • 1
    Call number: AWI A7-20-93463
    Description / Table of Contents: Die Arktis erwärmt sich schneller als der Rest der Erde. Die Auswirkungen manifestieren sich unter Anderem in einer verstärkten Erwärmung der arktischen Grenzschicht. Diese Arbeit befasst sich mit Wechselwirkungen zwischen synoptischen Zyklonen und der arktischen Atmosphäre auf lokalen bis überregionalen Skalen. Ausgangspunkt dafür sind Messdaten und Modellsimulationen für den Zeitraum der N-ICE2015 Expedition, die von Anfang Januar bis Ende Juni 2015 im arktischen Nordatlantiksektor stattgefunden hat. Anhand von Radiosondenmessungen lassen sich Auswirkungen von synoptischen Zyklonen am deutlichsten im Winter erkennen, da sie durch die Advektion warmer und feuchter Luftmassen in die Arktis den Zustand der Atmosphäre von einem strahlungs-klaren in einen strahlungs-opaken ändern. Obwohl dieser scharfe Kontrast nur im Winter existiert, zeigt die Analyse, dass der integrierte Wasserdampf als Indikator für die Advektion von Luftmassen aus niedrigen Breiten in die Arktis auch im Frühjahr geeignet ist. Neben der Advektion von…
    Type of Medium: Dissertations
    Pages: xiv, 147 Seiten , Illustrationen, Diagramme
    Language: German
    Note: Inhaltsverzeichnis 1 Einleitung 1.1Wissenschaftliche Zielsetzung 2 Grundlagen 2.1 Grundgleichungen 2.2 Potentielle Vorticity 2.3 Planetare Wellen 2.4 Atmosphärische Instabilität 2.5 Grenzschicht 2.6 Kopplung von Tropo- und Stratosphäre 3 Daten und Methoden 3.1 N-ICE2015 3.1.1 Expeditionsbeschreibung 3.1.2 Ziele der Expedition 3.2 Daten 3.2.1 Beobachtungsdaten 3.2.2 ERA-Interim Reanalyse 3.2.3 Das HIRHAM5 Modell 3.3 Analysemethoden 3.3.1 Temperaturinversionen 3.3.2 Vertikale Stabilität 3.3.3 Grenzschichthöhe 3.3.4 Eady Growth Rate 3.3.5 2d-Skalenfilterung und -Pattern-Korrelation 3.3.6 Nudging Experiment 4 Analyse der N-ICE2015 Radiosonden 4.1 Blick auf die Troposphäre 4.2 Fallstudie zum M2-Sturm: A 4.3 Zyklonencharakteristika 4.4 Temperaturinversionen und Stabilität 4.5 Vergleich mit ERA-Interim, SHEBA und Ny-Ålesund 4.6 Résumé der Expeditionsdaten 5 Nudging Studien mit HIRHAM5 5.1 Vergleich mit ERA-Interim 5.2 Vergleich der Simulationen 5.3 Fallstudie zum M2-Sturm: B 5.3.1 Synoptische Aktivität 5.4 Statistischer Vergleich 6 Einfluss der Stratosphäre 6.1 Stratosphäre im Winter 2014/2015 6.2 Fallstudie zum M2-Sturm: C 6.3 PV als Ladung 6.4 Résumé der Beobachtungen 7 Zusammenfassung und Ausblick A Zusätztliche Abbildungen B Literaturverzeichnis
    Location: AWI Reading room
    Branch Library: AWI Library
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  • 2
    Publication Date: 2018-10-29
    Description: Pulses of warm and moist air from lower latitudes provide energy to the Arctic and form its main energy source outside of the summer months. These pulses can cause substantial surface warming and trigger ice melt. Air-mass transport in the opposite direction, away from the Arctic, leads to cold-air outbreaks. The outbreaks are often associated with cold extremes over continents, and extreme surface heat fluxes and occasional polar lows over oceans. Air masses advected across the strong Arctic-to-mid-latitude temperature gradient are rapidly transformed into colder and dryer or warmer and moister air masses by clouds, radiative and turbulent processes, particularly in the boundary layer. Phase changes from liquid to ice within boundary-layer clouds are critical in these air-mass transformations. The presence of liquid water determines the radiative effects of these clouds, whereas the presence of ice is crucial for subsequent cloud decay or dissipation, processes that are poorly represented in weather and climate models. We argue that a better understanding of how air masses are transformed on their way into and out of the Arctic is essential for improved prediction of weather and climate in the Arctic and mid-latitudes. Observational and modelling exercises should take an air-mass-following Lagrangian approach to attain these goals. © 2018, The Author(s), under exclusive licence to Springer Nature Limited.
    Print ISSN: 1752-0894
    Electronic ISSN: 1752-0908
    Topics: Geosciences
    Published by Springer Nature
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  • 3
    Publication Date: 2023-01-25
    Description: Two airborne field campaigns focusing on observations of Arctic mixed-phase clouds and boundary layer processes and their role with respect to Arctic amplification have been carried out in spring 2019 and late summer 2020 over the Fram Strait northwest of Svalbard. The latter campaign was closely connected to the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. Comprehensive datasets of the cloudy Arctic atmosphere have been collected by operating remote sensing instruments, in-situ probes, instruments for the measurement of turbulent fluxes of energy and momentum, and dropsondes on board the AWI research aircraft Polar 5. In total, 24 flights with 111 flight hours have been performed over open ocean, the marginal sea ice zone, and sea ice. The datasets follow documented methods and quality assurance and are suited for studies on Arctic mixedphase clouds and their transformation processes, for studies with a focus on Arctic boundary layer processes, and for satellite validation applications. All datasets are freely available via the world data center PANGAEA.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 4
    Publication Date: 2024-02-07
    Description: A key driving factor behind rapid Arctic climate change is black carbon, the atmospheric aerosol that most efficiently absorbs sunlight. Our knowledge about black carbon in the Arctic is scarce, mainly limited to long-term measurements of a few ground stations and snap-shots by aircraft observations. Here, we combine observations from aircraft campaigns performed over nine years, and present vertically resolved average black carbon properties. A factor of four higher black carbon mass concentration (21.6 ng m−3 average, 14.3 ng m−3 median) was found in spring, compared to summer (4.7 ng m−3 average, 3.9 ng m−3 median). In spring, much higher inter-annual and geographic variability prevailed compared to the stable situation in summer. The shape of the black carbon size distributions remained constant between seasons with an average mass mean diameter of 202 nm in spring and 210 nm in summer. Comparison between observations and concentrations simulated by a global model shows notable discrepancies, highlighting the need for further model developments and intensified measurements.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 5
    Publication Date: 2023-10-28
    Description: The hemispherical-directional reflectance factor (HDRF) of snow surfaces was measured in Antarctica during austral summer in 2013/14. The HDRF was retrieved from airborne measurements using a digital 180° fish-eye camera onboard the research aircraft Polar 6 operated by the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI), Bremerhaven, Germany. -- The dataset contains the weighting functions for isotropic (f_iso), volumetric (f_vol), and geometric (f_geo) scattering obtained by inverting the kernel-driven, semi-empirical Ross-Thick-Li-Sparse-Reciprocal model for the bidirectional reflectance distribution function (BRDF). Along with the weighting functions f_iso, f_vol, and f_geo, the weights of determination (WoD) and root-mean-square errors (RMSE) are given as a criterion for the quality of the inversion for all 3 camera channels (Red: 602 nm central wavelength, Green: 538 nm, Blue: 470 nm). In addition, the footprint size of the camera observations is stated. -- The snow HDRF was measured over a variety of different solar zenith angles, optical-equivalent snow grain sizes, and surface roughness, which are given as parameters within the dataset. The optical-equivalent snow grain size was retrieved from spectral surface albedo measurements with the Spectral Modular Airborne Radiation measurement sysTem (SMART) mounted on Polar 6 using observations at 1280 and 1100 nm wavelength. The surface roughness was measured using the airborne laser scanner RIEGL VQ580 on Polar 6. -- Averaging was performed over time intervals of 30 s. The number of camera pictures, SSA measurements and laser scanner observations used for averaging over each 30s-interval are given. -- The dataset further includes basic flight parameters such as the second of day, longitude, latitude, flight altitude, surface elevation, aircraft velocity, and an attitude flag (0 = okay, 1 = do not use) corresponding to the times of measurement. -- Use of these data requires prior OK from the PIs.
    Keywords: anisotropy; BRDF; camera observations; HDRF; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; reflectance; remote sensing; snow; snow grain size; snow surface roughness; SPP1158
    Type: Dataset
    Format: application/zip, 13 datasets
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  • 6
    Publication Date: 2023-10-28
    Keywords: AC3; Airship; ALTITUDE; Arctic Amplification; Balloon_Sonic_20170609_0932_1008; BELUGA; Calculated from GPS; Calculated from pressure; DATE/TIME; High precision humidity and temperature probe, E+E Elektronik, EE08; Humidity, relative; LATITUDE; LONGITUDE; PASCAL; Pressure, at given altitude; PT100, slow response; Sonic anemometer (corrected with IMU measurements); Sonic temperature; Temperature, air; Tethered balloon system BELUGA; Thermocouple, fast response; Wind direction; Wind velocity, south-north; Wind velocity, vertical; Wind velocity, west-east
    Type: Dataset
    Format: text/tab-separated-values, 973345 data points
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  • 7
    Publication Date: 2023-10-28
    Keywords: AC3; Airship; ALTITUDE; Arctic Amplification; Balloon_Sonic_20170609_0847_0927; BELUGA; Calculated from GPS; Calculated from pressure; DATE/TIME; High precision humidity and temperature probe, E+E Elektronik, EE08; Humidity, relative; LATITUDE; LONGITUDE; PASCAL; Pressure, at given altitude; PT100, slow response; Sonic anemometer (corrected with IMU measurements); Sonic temperature; Temperature, air; Tethered balloon system BELUGA; Thermocouple, fast response; Wind direction; Wind velocity, south-north; Wind velocity, vertical; Wind velocity, west-east
    Type: Dataset
    Format: text/tab-separated-values, 1097980 data points
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  • 8
    Publication Date: 2023-10-28
    Keywords: AC3; Airship; ALTITUDE; Arctic Amplification; Balloon_Sonic_20170608_1308_1343; BELUGA; Calculated from GPS; Calculated from pressure; DATE/TIME; High precision humidity and temperature probe, E+E Elektronik, EE08; Humidity, relative; LATITUDE; LONGITUDE; PASCAL; Pressure, at given altitude; PT100, slow response; Sonic anemometer (corrected with IMU measurements); Sonic temperature; Temperature, air; Tethered balloon system BELUGA; Thermocouple, fast response; Wind direction; Wind velocity, south-north; Wind velocity, vertical; Wind velocity, west-east
    Type: Dataset
    Format: text/tab-separated-values, 954361 data points
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  • 9
    Publication Date: 2023-10-28
    Keywords: AC3; Airship; Arctic Amplification; Balloon_Sonic_20170605_1112_1445; BELUGA; PASCAL; Tethered balloon system BELUGA
    Type: Dataset
    Format: application/octet-stream, 155.2 MBytes
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  • 10
    Publication Date: 2023-10-28
    Keywords: AC3; Airship; ALTITUDE; Arctic Amplification; Balloon_Sonic_20170607_0928_1059; BELUGA; Calculated from GPS; Calculated from pressure; DATE/TIME; High precision humidity and temperature probe, E+E Elektronik, EE08; Humidity, relative; LATITUDE; LONGITUDE; PASCAL; Pressure, at given altitude; PT100, slow response; Sonic anemometer (corrected with IMU measurements); Sonic temperature; Temperature, air; Tethered balloon system BELUGA; Thermocouple, fast response; Wind direction; Wind velocity, south-north; Wind velocity, vertical; Wind velocity, west-east
    Type: Dataset
    Format: text/tab-separated-values, 2460425 data points
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