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  • Atmospheric circulation  (1)
  • Earth Resources and Remote Sensing; Meteorology and Climatology; Environment Pollution  (1)
  • Surface layer  (1)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Boundary layer meteorology 93 (1999), S. 269-286 
    ISSN: 1573-1472
    Keywords: Surface layer ; Roughness length ; Sonic anemometer ; Column modelling ; Urban area
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Physics
    Notes: Abstract Atmospheric boundary layer (ABL) turbulent processes in the Paris area have been documented in the framework of the étude de la Couche Limite en Agglomération Parisienne (ECLAP). Under anticyclonic conditions, simulations are made with a ‘column’ modelling approach, based on the three-dimensional version of the non-hydrostatic mesoscale model MERCURE restricted to a small domain. This ‘column’ model uses existing state-of-the-art surface-layer parameterizations (the addition of the convective velocity scale to the mean wind speed in near free convection periods, the prescription of the effective dynamical roughness length as well as a differentiation between dynamical and thermal roughness lengths). To ensure the representativeness of the comparison between measurements and simulations, the dynamical and thermal effective roughness lengths characterizing the experimental site are prescribed explicitly in the model, using sonic anemometer measurements. We show that the parameterizations implemented in MERCURE for this study enable a good description, by the three-dimensional model, of the observed complex ABL dynamics. We also show that in the region of Paris, the synoptic scale and mesoscale dynamics can have a dramatic impact on the ABL dynamics and turbulent processes at the local scale. This study is a first attempt at improving our ability to predict meteorological factors affecting urban air quality.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2022-05-26
    Description: © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Surveys in Geophysics 38 (2017): 1529–1568, doi:10.1007/s10712-017-9428-0.
    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.
    Description: The EUREC4A project is supported by the European Research Council (ERC), under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 694768), by the Max Planck Society and by DFG (Deutsche Forschungsgemeinschaft, German Research Foundation) Priority Program SPP 1294.
    Keywords: Trade-wind cumulus ; Shallow convection ; Cloud feedback ; Atmospheric circulation ; Field campaign
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 3
    Publication Date: 2019-07-13
    Description: We describe the daily evolution of the three-dimensional (3D) structure of a major dust outbreak initiated by an extratropical cyclone over East Asia in early March 2008, using new aerosol retrievals derived from satellite observations of IASI (Infrared Atmospheric Sounding Interferometer). A novel auto-adaptive Tikhonov-Phillips-type approach called AEROIASI is used to retrieve vertical profiles of dust extinction coefficient at 10 microns for most cloud-free IASI pixels, both over land and ocean. The dust vertical distribution derived from AEROIASI is shown to agree remarkably well with along-track transects of Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) spaceborne lidar vertical profiles (mean biases less than 110 meters, correlation of 0.95, and precision of 260 meters for mean altitudes of the dust layers). AEROIASI allows the daily characterization of the 3D transport pathways across East Asia of two dust plumes originating from the Gobi and North Chinese deserts. From AEROIASI retrievals, we provide evidence that (i) both dust plumes are transported over the Beijing region and the Yellow Sea as elevated layers above a shallow boundary layer, (ii) as they progress eastward, the dust layers are lifted up by the ascending motions near the core of the extratropical cyclone, and (iii) when being transported over the warm waters of the Japan Sea, turbulent mixing in the deep marine boundary layer leads to high dust concentrations down to the surface. AEROIASI observations and model simulations also show that the progression of the dust plumes across East Asia is tightly related to the advancing cold front of the extratropical cyclone.
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology; Environment Pollution
    Type: NF1676L-20203 , NF1676L-22143 , Journal of Geophysical Research: Atmospheres (ISSN 2169-897X); 120; 14; 7099-7127
    Format: text
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