4.6 Article

Geostrophic drag law for conventionally neutral atmospheric boundary layers revisited

Journal

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
Volume 147, Issue 735, Pages 847-857

Publisher

WILEY
DOI: 10.1002/qj.3949

Keywords

conventionally neutral atmospheric boundary layer; friction velocity; geostrophic drag law; lapse rate; large‐ eddy simulation; latitude

Funding

  1. STWVIDI grant [14868]
  2. Shell-NWO/FOM-initiative Computational Sciences for Energy Research

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The study shows the applicability of the geostrophic drag law to conventionally neutral atmospheric boundary layers over a wider range of N/|f|. Results from large-eddy simulations reveal that coefficients A and B collapse to a single curve when plotted against N/|f|, but predictions for the cross-isobaric angle are less accurate due to strong dependence of B on N/|f|.
The geostrophic drag law (GDL), which predicts the geostrophic drag coefficient and the cross-isobaric angle, is relevant for meteorological applications such as wind energy. For conventionally neutral atmospheric boundary layers (CNBLs) capped by an inversion, the GDL coefficients A and B are affected by the inversion strength and latitude, expressible via the ratio of the Brunt-Vaisala frequency (N) to the Coriolis parameter (f). We present large-eddy simulations (LES) covering a wider range of N/|f| than considered previously, and show that A and B obtained from carefully performed LES collapse to a single curve when plotted against N/|f|. This verifies the GDL for CNBLs over an extended range of N/|f| within LES. Additionally, in agreement with atmospheric observations, we show that using A = 1.9 and B = 4.4 accurately predicts the geostrophic drag coefficient in the limit of weak inversion strength or high latitude (N/|f|less than or similar to 300). However, due to the strong dependence of B on N/|f|, corresponding predictions for the cross-isobaric angle are less accurate. As we find significant deviations between the LES results and the original parameterization of the GDL for CNBLs, we update the corresponding model coefficients.

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