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  • MDPI Publishing  (1)
  • PANGAEA  (1)
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  • 1
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    Larcform 1 - single column model intercomparison of Arctic air formation, link to model results in NetCDF format (2016)
    PANGAEA
    In:  Supplement to: Pithan, Felix; Ackerman, Andrew; Angevine, Wayne; Hartung, Kerstin; Ickes, Luisa; Kelley, Maxwell; Medeiros, Brian P; Sandu, Irina; Steeneveld, Gert-Jan; Sterk, HAM; Svensson, Gunilla; Vaillancourt, Paul A; Zadra, Ayrton (2016): Strengths and biases of models in representing the Arctic winter boundary layer - the Larcform 1 single column model intercomparison. Journal of Advances in Modeling Earth Systems, 8(3), 1345-1357, https://doi.org/10.1002/2016MS000630
    Details
    Publication Date: 2023-01-13
    Description: Weather and climate models struggle to represent lower tropospheric temperature and moisture profiles and surface fluxes in Arctic winter, not least because they lack or misrepresent physical processes that are specific to high latitudes. The Arctic boundary layer in winter has been observed to be in either a radiatively clear or cloudy state: The radiatively clear state is characterized by strong surface radiative cooling leading to the build-up of surface-based temperature inversions, whereas the cloudy state occurs when cloud liquid water is present in the atmospheric column, allowing little or no surface radiative cooling and leading to weaker and typically elevated temperature inversions. Many large-scale models have been shown to lack the cloudy state, and some do substantially underestimate stability in the clear state. We here present results from the first Lagrangian ARCtic air FORMation experiment (Larcform 1), a GASS (Global atmospheric system studies) single-column model intercomparison which reproduces these biases of large-scale models in an idealised setup.
    Type: Dataset
    Format: application/zip, 8.9 MBytes
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    DATA PANGAEA
  • 2
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    Remote Sensing, Vol. 5, Pages 6223-6240: Satellite Regional Cloud Climatology over the Great Lakes (2013)
    MDPI Publishing
    Details
    Publication Date: 2013-11-26
    Description: Thirty-one years of imager data from polar orbiting satellites are composited to produce a satellite climate data set of cloud amount for the Great Lakes region. A trend analysis indicates a slight decreasing trend in cloud cover over the region during this time period. The trend is significant and largest (~2% per decade) over the water bodies. A strong seasonal cycle of cloud cover is observed over both land and water surfaces. Winter cloud amounts are greater over the water bodies than land due to heat and moisture flux into the atmosphere. Late spring through early autumn cloud amounts are lower over the water bodies than land due to stabilization of the boundary layer by relatively cooler lake waters. The influence of the lakes on cloud cover also extends beyond their shores, affecting cloud cover and properties far down wind. Cloud amount composited by wind direction demonstrate that the increasing cloud amounts downwind of the lakes is greatest during autumn and winter. Cold air flows over relatively warm lakes in autumn and winter generate wind parallel convective cloud bands. The cloud properties of these wind parallel cloud bands over the lakes during winter are presented.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI Publishing
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