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    Evaluation of the Daylight Cycle of Model-Predicted Cloud Amount and Condensed Water Path over Europe with Observations from MSG SEVIRI 

    Source: Journal of Climate:;2009:;volume( 022 ):;issue: 007:;page 1749
    Author(s): Roebeling, R. A.; van Meijgaard, E.
    Publisher: American Meteorological Society
    Abstract: The evaluation of the diurnal cycle of cloud amount (CA) and cloud condensed water path (CWP) as predicted by climate models receives relatively little attention, mostly because of the lack of observational data capturing ...
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    Momentum Budget of the East Antarctic Atmospheric Boundary Layer: Results of a Regional Climate Model 

    Source: Journal of the Atmospheric Sciences:;2002:;Volume( 059 ):;issue: 021:;page 3117
    Author(s): van den Broeke, M. R.; van Lipzig, N. P. M.; van Meijgaard, E.
    Publisher: American Meteorological Society
    Abstract: Output of a regional atmospheric climate model is used to quantify the average January and July momentum budget of the atmospheric boundary layer (ABL) over the East Antarctic ice sheet and the surrounding oceans. Results ...
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    Modeling a Stratocumulus-Topped PBL: Intercomparison among Different One-Dimensional Codes and with Large Eddy Simulation 

    Source: Bulletin of the American Meteorological Society:;1996:;volume( 077 ):;issue: 009:;page 2033
    Author(s): Bechtold, P.; Krueger, S. K.; Lewellen, W. S.; van Meijgaard, E.; Moeng, C. H.; Randall, D. A.; van Ulden, A.; Wang, S.
    Publisher: American Meteorological Society
    Abstract: Several one-dimensional (1D) cloud/turbulence ensemble modeling results of an idealized nighttime marine stratocumulus case are compared to large eddy simulation (LES). This type of model intercomparison was one of the ...
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    THE BALTEX BRIDGE CAMPAIGN: An Integrated Approach for a Better Understanding of Clouds 

    Source: Bulletin of the American Meteorological Society:;2004:;volume( 085 ):;issue: 010:;page 1565
    Author(s): Crewell, S.; Bloemink, H.; Feijt, A.; García, S. G.; Jolivet, D.; Krasnov, O. A.; Van Lammeren, A.; Löhnert, U.; Van Meijgaard, E.; Meywerk, J.; Quante, M.; Pfeilsticker, K.; Schmidt, S.; Scholl, T.; Simmer, C.; Schröder, M.; Trautmann, T.; Venema, V.; Wendisch, M.; Willén, U.
    Publisher: American Meteorological Society
    Abstract: Clouds cause uncertainties in the determination of climate sensitivity to either natural or anthropogenic changes. Furthermore, clouds dominate our perception of the weather, and the relatively poor forecast of cloud and ...
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