In this paper a summary is given of the basic approaches for the modeling and parameterization of turbulence in the atmospheric boundary layer. The treated approaches
are in current use in regional and global-scale models for the forecasting and study of weather, climate and air quality. Here we have shown the results of such approaches by using single column models in comparison with field data and fine-scale model results.We have also studied the impact of the surface temperature condition on the variability of results by an atmospheric boundary-layer model. From the coupled model results we achieve that surface feedback can compensate for some of the variety introduced by changing model parameters. Generally much work needs still to be done before we have a full understanding of the complexity of atmospheric turbulence and the interactions with the land surface. A better understanding of atmospheric turbulence hopefully also contributes to our capability in refining and unifying the turbulence arameterizations for modeling of the atmospheric boundary layer in response to the different type of surfaces which are found in reality.
|Title of host publication||Encyclopedia of Complexity and Systems Science|
|Editors||/ Robert A Meyers|
|Place of Publication||New York|
|Number of pages||1318|
|Publication status||Published - 2009|
|Name||Physics and Astronomy|