Evaluating and improving the impact of the atmospheric stability and orography on surface winds in the WRF model

This study assesses the impact of the atmospheric stability on the turbulent orographic form drag (TOFD) generated by unresolved small-scale orography (SSO) focusing on surface winds. With this aim, several experiments are conducted with the Weather Research and Forecasting (WRF) Model and they are evaluated over a large number of stations (318 at 2-m height) in the Iberian Peninsula with a year of data. In WRF, Jiménez and Dudhia resolved the SSO by including a factor in the momentum equation, which is a function of the orographic variability inside a grid cell. It is found that this scheme can improve the simulated surface winds, especially at night, but it can underestimate the winds during daytime. This suggests that TOFD can be dependent on the PBL's stability. To inspect and overcome this limitation, the stability conditions are included in the SSO parameterization to maintain the intensity of the drag during stable conditions while attenuating it during unstable conditions. The numerical experiments demonstrate that the inclusion of stability effects on the SSO drag parameterization improves the simulated surface winds at diurnal, monthly, and annual scales by reducing the systematic daytime underestimation of the original scheme. The correction is especially beneficial when both the convective velocity and the boundary layer height are used to characterize the unstable conditions.

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Author Lorente-Plazas, Raquel
Jimenez Munoz, Pedro
Dudhia, Jimy
Montavez, Juan
Publisher UCAR/NCAR - Library
Publication Date 2016-07-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:02:41.066860
Metadata Record Identifier edu.ucar.opensky::articles:18625
Metadata Language eng; USA
Suggested Citation Lorente-Plazas, Raquel, Jimenez Munoz, Pedro, Dudhia, Jimy, Montavez, Juan. (2016). Evaluating and improving the impact of the atmospheric stability and orography on surface winds in the WRF model. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7sn0bm1. Accessed 30 April 2025.

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