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  • Hydrology.  (1)
  • Meteorology and Climatology  (1)
  • Physics.  (1)
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  • 1
    Online-Ressource
    Online-Ressource
    Singapore :Springer Nature Singapore :
    Schlagwort(e): Physical geography. ; Physics. ; Mathematical physics. ; Water. ; Hydrology. ; Earth System Sciences. ; Classical and Continuum Physics. ; Theoretical, Mathematical and Computational Physics. ; Water.
    Beschreibung / Inhaltsverzeichnis: Introduction -- Ice Hydrometeors in Atmospheric Clouds -- Observed fall attitudes of ice hydrometeors -- Physics and mathematics of the theoretical problems -- Flow fields and fall attitudes of ice hydrometeors -- Ventilation effects of falling ice hydrometeors and their impacts -- Summary and outlook.
    Kurzfassung: This book summarizes unique research findings on the hydrodynamic behavior of ice particles (ice crystals, snow, graupel and hailstones) in the atmosphere. The fall behavior of ice hydrometeors determines how and how fast a mixed-phase cloud can grow or dissipate. The book discusses how the authors used computational fluid dynamics (CFD) methods and numerical simulations to determine these behaviors, and presents these computations along with numerous detailed tables and illustrations of turbulent flow fields. It also examines the implications of the results for the general atmospheric sciences as well as for climate science (since the cloud problem is the source of the greatest uncertainty in model-based climate predictions). As such it allows readers to gain a clear and comprehensive understanding of how particles fall in clouds and offers insights into cloud physics and dynamics and their impact on the climate.
    Materialart: Online-Ressource
    Seiten: VIII, 176 p. 142 illus., 40 illus. in color. , online resource.
    Ausgabe: 1st ed. 2021.
    ISBN: 9789813344310
    Serie: Atmosphere, Earth, Ocean & Space,
    DDC: 550
    Sprache: Englisch
    Standort Signatur Erwartet Verfügbarkeit
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  • 2
    Publikationsdatum: 2019-07-13
    Beschreibung: The paper highlights simultaneous observations of tops of deep convective clouds from several space-borne instruments including the Moderate Resolution Imaging Spectroradiometer (MODIS) of the Aqua satellite, Cloud Profiling Radar (CPR) of the CloudSat satellite, and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) flown on the CALIPSO satellite. These satellites share very close orbits, thus together with several other satellites they are referred to as the "A-Train" constellation. Though the primary responsibility of these satellites and their instrumentation is much broader than observations of fine-scale processes atop convective storms, in this study we document how data from the A-Train can contribute to a better understanding and interpretation of various storm-top features, such as overshooting tops, cold-U/V and cold ring features with their coupled embedded warm areas, above anvil ice plumes and jumping cirrus. The relationships between MODIS multi-spectral brightness temperature difference (BTD) fields and cloud top signatures observed by the CPR and CALIOP are also examined in detail to highlight the variability in BTD signals across convective storm events.
    Schlagwort(e): Meteorology and Climatology
    Materialart: NF1676L-15625 , Atmospheric Research; 123; 229-248
    Format: text
    Standort Signatur Erwartet Verfügbarkeit
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