radiative heating, cloud processes, and soil transfer and the numerical errors arising
from steep terrain slopes.
From ALPEX (Kuettner, 1981) to CASES (LeMone et al., 2000) and MAP
(Bougeault et al., 2001), field programs have been critical to improve the numerical
simulation and prediction of mesoscale circulations forced by variations in the
underlying surface. Comprehensive datasets are required to provide validation of
the model simulations and lead to improved treatment of relevant physical processes
in high-resolution numerical weather prediction models.
Considerable debate remains in the mesoscale modeling community regarding the
inherent predictability of terrain-induced circulations. As noted by Mass and Kuo
(1998), mesoscale predictability in regions of complex terrain may be enhanced due
to the relatively deterministic interactions between the synoptic-scale flow and the
underlying terrain. Nonetheless, while models are increasingly capable of simulating
physically realistic responses to flow over terrain, a corresponding increase in
forecast skill has not always been evident (e.g., Colle et al., 2000).
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