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  • 1
    Book
    Book
    Leipzig : Inst. für Meteorologie, Univ. Leipzig
    Keywords: Hochschulschrift ; Atmosphäre ; Wolke ; Sonnenstrahlung
    Type of Medium: Book
    Pages: IV, 174 S , Ill., graph. Darst
    ISBN: 3980882217
    Series Statement: Wissenschaftliche Mitteilungen aus dem Institut für Meteorologie der Universität Leipzig 31
    RVK:
    RVK:
    Language: English
    Note: Zugl.: Leipzig, Univ., Habil.-Schr., 2002
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  • 2
    Online Resource
    Online Resource
    Newark :John Wiley & Sons, Incorporated,
    Keywords: Atmosphere -- Measurement. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (689 pages)
    Edition: 1st ed.
    ISBN: 9783527653249
    Series Statement: Wiley Series in Atmospheric Physics and Remote Sensing Series
    DDC: 551.511028
    Language: English
    Note: Intro -- Airborne Measurements for Environmental Research -- 1 Introduction to Airborne Measurements of the Earth Atmosphere and Surface -- 2 Measurement of Aircraft State and Thermodynamic and Dynamic Variables -- 2.1 Introduction -- 2.2 Historical -- 2.3 Aircraft State Variables -- 2.3.1 Barometric Measurement of Aircraft Height -- 2.3.2 Inertial Attitude, Velocity, and Position -- 2.3.2.1 System Concepts -- 2.3.2.2 Attitude Angle Definitions -- 2.3.2.3 Gyroscopes and Accelerometers -- 2.3.2.4 Inertial-Barometric Corrections -- 2.3.3 Satellite Navigation by Global Navigation Satellite Systems -- 2.3.3.1 GNSS Signals -- 2.3.3.2 Differential GNSS -- 2.3.3.3 Position Errors and Accuracy of Satellite Navigation -- 2.3.4 Integrated IMU/GNSS Systems for Position and Attitude Determination -- 2.3.5 Summary, Gaps, Emerging Technologies -- 2.4 Static Air Pressure -- 2.4.1 Position Error -- 2.4.1.1 Tower Flyby -- 2.4.1.2 Trailing Sonde -- 2.4.2 Summary -- 2.5 Static Air Temperature -- 2.5.1 Aeronautic Definitions of Temperatures -- 2.5.2 Challenges of Airborne Temperature Measurements -- 2.5.3 Immersion Probe -- 2.5.4 Reverse-Flow Sensor -- 2.5.5 Radiative Probe -- 2.5.6 Ultrasonic Probe -- 2.5.7 Error Sources -- 2.5.7.1 Sensor -- 2.5.7.2 Dynamic Error Sources -- 2.5.7.3 In-Cloud Measurements -- 2.5.8 Calibration of Temperature Sensors -- 2.5.9 Summary, Gaps, Emerging Technologies -- 2.6 Water Vapor Measurements -- 2.6.1 Importance of Atmospheric Water Vapor -- 2.6.2 Humidity Variables -- 2.6.3 Dew or Frost Point Hygrometer -- 2.6.4 Lyman-& -- alpha -- Absorption Hygrometer -- 2.6.5 Lyman-& -- alpha -- Fluorescence Hygrometer -- 2.6.6 Infrared Absorption Hygrometer -- 2.6.7 Tunable Laser Absorption Spectroscopy Hygrometer -- 2.6.8 Thin Film Capacitance Hygrometer -- 2.6.9 Total Water Vapor and Isotopic Abundances of 18O and 2H. , 2.6.10 Factors Influencing In-Flight Performance -- 2.6.10.1 Sticking of Water Vapor at Surfaces -- 2.6.10.2 Sampling Systems -- 2.6.11 Humidity Measurements with Dropsondes -- 2.6.12 Calibration and In-Flight Validation -- 2.6.13 Summary and Emerging Technologies -- 2.7 Three-Dimensional Wind Vector -- 2.7.1 Airborne Wind Measurement Using Gust Probes -- 2.7.1.1 True Airspeed (TAS) and Aircraft Attitude -- 2.7.1.2 Wind Vector Determination -- 2.7.1.3 Baseline Instrumentation -- 2.7.1.4 Angles of Attack and Sideslip -- 2.7.2 Errors and Flow Distortion -- 2.7.2.1 Parameterization Errors -- 2.7.2.2 Measurement Errors -- 2.7.2.3 Timing Errors -- 2.7.2.4 Errors due to Incorrect Sensor Configuration -- 2.7.3 In-Flight Calibration -- 2.8 Small-Scale Turbulence -- 2.8.1 Hot-Wire/Hot-Film Probes for High-Resolution Flow Measurements -- 2.8.2 Laser Doppler Anemometers -- 2.8.3 Ultrasonic Anemometers/Thermometers -- 2.8.4 Measurements of Atmospheric Temperature Fluctuations with Resistance Wires -- 2.8.5 Calibration of Fast-Response Sensors -- 2.8.6 Summary, Gaps, and Emerging Technologies -- 2.9 Flux Measurements -- 2.9.1 Basics -- 2.9.2 Measurement Errors -- 2.9.3 Flux Sampling Errors -- 2.9.3.1 Systematic Flux Error -- 2.9.3.2 Random Flux Error -- 2.9.4 Area-Averaged Turbulent Flux -- 2.9.5 Preparation for Airborne Flux Measurement -- 3 In Situ Trace Gas Measurements -- 3.1 Introduction -- 3.2 Historical and Rationale -- 3.3 Aircraft Inlets for Trace Gases -- 3.4 Examples of Recent Airborne Missions -- 3.5 Optical In Situ Techniques -- 3.5.1 UV Photometry -- 3.5.2 Differential Optical Absorption Spectroscopy -- 3.5.2.1 Measurement Principle -- 3.5.2.2 Examples of Measurement -- 3.5.3 Cavity Ring-Down Spectroscopy -- 3.5.3.1 Measurement Principle -- 3.5.3.2 Aircraft Implementation -- 3.5.3.3 Calibration and Uncertainty. , 3.5.3.4 Broadband Cavity Spectroscopic Methods -- 3.5.4 Gas Filter Correlation Spectroscopy -- 3.5.5 Tunable Laser Absorption Spectroscopy -- 3.5.5.1 Tunable Diode Versus QCLs -- 3.5.5.2 Further Progress -- 3.5.6 Fluorescence Techniques -- 3.5.6.1 Resonance Fluorescence -- 3.5.6.2 LIF Techniques -- 3.5.6.3 Chemical Conversion Resonance Fluorescence Technique -- 3.6 Chemical Ionization Mass Spectrometry -- 3.6.1 Negative-Ion CIMS -- 3.6.1.1 Measurement Principle and Aircraft Implementation -- 3.6.1.2 Calibration and Uncertainties -- 3.6.1.3 Measurement Example -- 3.6.2 The Proton Transfer Reaction Mass Spectrometer -- 3.6.3 Summary and Future Perspectives -- 3.7 Chemical Conversion Techniques -- 3.7.1 Peroxy Radical Chemical Amplification -- 3.7.1.1 Measurement Principles -- 3.7.1.2 Airborne Measurements -- 3.7.1.3 Calibration and Uncertainties -- 3.7.2 Chemiluminescence Techniques -- 3.7.2.1 Measurement Principle -- 3.7.2.2 Measurement of Ozone Using Chemiluminescence -- 3.7.2.3 NOy and NO2 Conversion -- 3.7.2.4 Calibration and Uncertainties -- 3.7.2.5 Measurement Examples -- 3.7.2.6 Summary -- 3.7.3 Liquid Conversion Techniques -- 3.7.3.1 Measurement Principles -- 3.7.3.2 Aircraft Implementation -- 3.7.3.3 Data Processing -- 3.7.3.4 Limitations, Uncertainties, and Error Propagation -- 3.7.3.5 Calibration and Maintenance -- 3.7.3.6 Measurement Examples -- 3.7.3.7 Summary and Emerging Technologies -- 3.8 Whole Air Sampler and Chromatographic Techniques -- 3.8.1 Rationale -- 3.8.2 Whole Air Sampling Systems -- 3.8.2.1 Design of Air Samplers -- 3.8.2.2 The M55-Geophysica Whole Air Sampler -- 3.8.3 Water Vapor Sampling for Isotope Analysis -- 3.8.4 Measurement Examples -- 3.8.5 Off-Line Analysis of VOCs -- 3.8.5.1 Air Mass Ageing -- 3.8.5.2 Using VOC Observations to Probe Radical Chemistry -- 4 In Situ Measurements of Aerosol Particles. , 4.1 Introduction -- 4.1.1 Historical Overview -- 4.1.2 Typical Mode Structure of Aerosol Particle Size Distribution -- 4.1.3 Quantitative Description of Aerosol Particles -- 4.1.4 Chapter Structure -- 4.2 Aerosol Particle Number Concentration -- 4.2.1 Condensation Particle Counters -- 4.2.2 Calibration of Cut-Off and Low-Pressure Detection Efficiency -- 4.3 Aerosol Particle Size Distribution -- 4.3.1 Single-Particle Optical Spectrometers -- 4.3.1.1 Measurement Principles and Implementation -- 4.3.1.2 Measurement Issues -- 4.3.2 Aerodynamic Separators -- 4.3.3 Electrical Mobility Measurements of Particle Size Distributions -- 4.3.4 Inversion Methods -- 4.4 Chemical Composition of Aerosol Particles -- 4.4.1 Direct Offline Methods -- 4.4.2 Direct Online Methods (Aerosol Mass Spectrometer, Single Particle Mass Spectrometer, and Particle-Into-Liquid Sampler) -- 4.4.2.1 Bulk Aerosol Collection and Analysis -- 4.4.2.2 Mass Spectrometric Methods -- 4.4.2.3 Incandescence Methods -- 4.4.3 Indirect Methods -- 4.5 Aerosol Optical Properties -- 4.5.1 Scattering Due to Aerosol Particles -- 4.5.2 Absorption of Solar Radiation Due to Aerosol Particles -- 4.5.2.1 Filter-Based Methods -- 4.5.2.2 In Situ Methods -- 4.5.2.3 Airborne Application -- 4.5.3 Extinction Due to Aerosol Particles -- 4.5.4 Inversion Methods -- 4.6 CCN and IN -- 4.6.1 CCN Measurements Methods -- 4.6.2 IN Measurement Methods -- 4.6.3 Calibration -- 4.6.3.1 CCN Instrument Calibration -- 4.6.3.2 IN Instrument Calibration -- 4.7 Challenges and Emerging Techniques -- 4.7.1 Particle Number -- 4.7.2 Particle Size -- 4.7.3 Aerosol Optical Properties -- 4.7.4 Chemical Composition of Aerosol Particles -- 4.7.5 CCN Measurements -- 4.7.6 IN Measurements -- 5 In Situ Measurements of Cloud and Precipitation Particles -- 5.1 Introduction -- 5.1.1 Rationale. , 5.1.2 Characterization of Cloud Microphysical Properties -- 5.1.3 Chapter Outline -- 5.1.4 Statistical Limitations of Airborne Cloud Microphysical Measurements -- 5.2 Impaction and Replication -- 5.2.1 Historical -- 5.2.2 Measurement Principles and Implementation -- 5.2.3 Measurement Issues -- 5.3 Single-Particle Size and Morphology Measurements -- 5.3.1 Retrieval of the PSD -- 5.3.1.1 Correction of Coincidence Effects -- 5.3.1.2 Optimal Estimation of the Particle Concentration -- 5.3.2 Single-Particle Light Scattering -- 5.3.2.1 Measurement Principles and Implementation -- 5.3.2.2 Measurement Issues -- 5.3.2.3 Summary -- 5.3.3 Single-Particle Imaging -- 5.3.3.1 Measurement Principles and Implementation -- 5.3.3.2 Measurement Issues -- 5.3.3.3 Summary -- 5.3.4 Imaging of Particle Ensembles - Holography -- 5.4 Integral Properties of an Ensemble of Particles -- 5.4.1 Thermal Techniques for Cloud LWC and IWC -- 5.4.1.1 Hot-Wire Techniques -- 5.4.1.2 Mass-Sensitive Devices -- 5.4.1.3 Measurement Issues -- 5.4.2 Optical Techniques for the Measurement of Cloud Water -- 5.4.2.1 The PVM -- 5.4.2.2 Angular Optical Cloud Properties -- 5.4.2.3 The PN -- 5.4.2.4 The CIN -- 5.4.2.5 The CEP -- 5.4.2.6 Measurement Issues -- 5.5 Data Analysis -- 5.5.1.1 Adjustment to Adiabaticity -- 5.5.1.2 Instrument Intercalibration -- 5.5.1.3 Instrument Spatial Resolution -- 5.5.1.4 Integrating Measurements from Scattering and Imaging Probes -- 5.5.1.5 Integrating Cloud Microphysical and Optical Properties -- 5.5.1.6 Evaluation of OAP Images -- 5.6 Emerging Technologies -- 5.6.1 Interferometric Laser Imaging for Droplet Sizing -- 5.6.2 The Backscatter Cloud Probe -- 5.6.3 The Cloud Particle Spectrometer with Depolarization -- 5.6.4 Hawkeye Composite Cloud Particle Probe -- Acknowledgments -- 6 Aerosol and Cloud Particle Sampling -- 6.1 Introduction -- 6.2 Aircraft Influence. , 6.2.1 Flow Perturbation.
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Journal of atmospheric chemistry 32 (1999), S. 420-422 
    ISSN: 1573-0662
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Geosciences
    Type of Medium: Electronic Resource
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  • 4
    Publication Date: 2020-02-06
    Description: Trade-wind cumuli constitute the cloud type with the highest frequency of occurrence on Earth, and it has been shown that their sensitivity to changing environmental conditions will critically influence the magnitude and pace of future global warming. Research over the last decade has pointed out the importance of the interplay between clouds, convection and circulation in controling this sensitivity. Numerical models represent this interplay in diverse ways, which translates into different responses of trade-cumuli to climate perturbations. Climate models predict that the area covered by shallow cumuli at cloud base is very sensitive to changes in environmental conditions, while process models suggest the opposite. To understand and resolve this contradiction, we propose to organize a field campaign aimed at quantifying the physical properties of trade-cumuli (e.g., cloud fraction and water content) as a function of the large-scale environment. Beyond a better understanding of clouds-circulation coupling processes, the campaign will provide a reference data set that may be used as a benchmark for advancing the modelling and the satellite remote sensing of clouds and circulation. It will also be an opportunity for complementary investigations such as evaluating model convective parameterizations or studying the role of ocean mesoscale eddies in air–sea interactions and convective organization
    Type: Article , PeerReviewed
    Format: text
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  • 5
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    In:  EPIC3AWI-IASS Workshop, AWI, Bremerhaven, 2014-10-28-2014-10-29
    Publication Date: 2017-10-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 6
    Publication Date: 2018-08-13
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 7
    Publication Date: 2018-11-26
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 8
    Publication Date: 2019-06-17
    Description: Clouds play an important role in Arctic amplification. This term represents the recently observed enhanced warming of the Arctic relative to the global increase of near-surface air temperature. However, there are still important knowledge gaps regarding the interplay between Arctic clouds and aerosol particles, and surface properties, as well as turbulent and radiative fluxes that inhibit accurate model simulations of clouds in the Arctic climate system. In an attempt to resolve this so-called Arctic cloud puzzle, two comprehensive and closely coordinated field studies were conducted: the Arctic Cloud Observations Using Airborne Measurements during Polar Day (ACLOUD) aircraft campaign and the Physical Feedbacks of Arctic Boundary Layer, Sea Ice, Cloud and Aerosol (PASCAL) ice breaker expedition. Both observational studies were performed in the framework of the German Arctic Amplification: Climate Relevant Atmospheric and Surface Processes, and Feedback Mechanisms (AC)3 project. They took place in the vicinity of Svalbard, Norway, in May and June 2017. ACLOUD and PASCAL explored four pieces of the Arctic cloud puzzle: cloud properties, aerosol impact on clouds, atmospheric radiation, and turbulent dynamical processes. The two instrumented Polar 5 and Polar 6 aircraft; the icebreaker Research Vessel (R/V) Polarstern; an ice floe camp including an instrumented tethered balloon; and the permanent ground-based measurement station at Ny-Ålesund, Svalbard, were employed to observe Arctic low- and mid-level mixed-phase clouds and to investigate related atmospheric and surface processes. The Polar 5 aircraft served as a remote sensing observatory examining the clouds from above by downward-looking sensors; the Polar 6 aircraft operated as a flying in situ measurement laboratory sampling inside and below the clouds. Most of the collocated Polar 5/6 flights were conducted either above the R/V Polarstern or over the Ny-Ålesund station, both of which monitored the clouds from below using similar but upward-looking remote sensing techniques as the Polar 5 aircraft. Several of the flights were carried out underneath collocated satellite tracks. The paper motivates the scientific objectives of the ACLOUD/PASCAL observations and describes the measured quantities, retrieved parameters, and the applied complementary instrumentation. Furthermore, it discusses selected measurement results and poses critical research questions to be answered in future papers analyzing the data from the two field campaigns.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 9
    Publication Date: 2020-11-16
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 10
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    Alfred Wegener Institute for Polar and Marine Research
    In:  EPIC3Berichte zur Polar- und Meeresforschung = Reports on polar and marine research, Bremerhaven, Alfred Wegener Institute for Polar and Marine Research, 754, 99 p., ISSN: 1866-3192
    Publication Date: 2021-07-05
    Repository Name: EPIC Alfred Wegener Institut
    Type: "Berichte zur Polar- und Meeresforschung" , notRev
    Format: application/pdf
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