Journal list menu

Volume 147, Issue 734 p. 94-105
RESEARCH ARTICLE

Effects of terrain-following vertical coordinates on simulation of stratus clouds in numerical weather prediction models

Stephanie Westerhuis

Corresponding Author

Stephanie Westerhuis

ETH Zurich, Switzerland

Federal Institute of Meteorology and Climatology (MeteoSwiss), Zürich, Switzerland

Correspondence

S. Westerhuis, MeteoSwiss, Zürich CH-8058, Switzerland.

Email: [email protected]

Search for more papers by this author
Oliver Fuhrer

Oliver Fuhrer

Federal Institute of Meteorology and Climatology (MeteoSwiss), Zürich, Switzerland

Vulcan Inc., Seattle, Washington, USA

Search for more papers by this author
Ritthik Bhattacharya

Ritthik Bhattacharya

Goethe University of Frankfurt, Frankfurt am Main, Germany

Search for more papers by this author
Jürg Schmidli

Jürg Schmidli

Goethe University of Frankfurt, Frankfurt am Main, Germany

Search for more papers by this author
Christopher Bretherton

Christopher Bretherton

Vulcan Inc., Seattle, Washington, USA

Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA

Search for more papers by this author
First published: 13 September 2020
Citations: 6

Funding information: ETH research grant MeteoSwiss the Hans Ertel Centre of DWD, Grant/Award Numbers: ETH-17 16-2;123001738;4818DWDP4

Abstract

Many numerical weather prediction models employ terrain-following vertical coordinates. As a consequence, over orography, flat tops of stratus clouds are intersected by the vertical coordinate surfaces. We conduct idealised two-dimensional simulations of a stratus cloud with the COSMO model to study the effect of such sloping vertical coordinate surfaces. The evolution of the stratus cloud above a flat surface within a horizontally homogeneous atmosphere serves as a reference. During night-time, the cloud thickens, driven by radiative cooling at the cloud top. Adding a sinusoidal perturbation to the vertical coordinate surfaces reduces the growth of the stratus cloud. With strong perturbations, the cloud starts to dissipate. The physical processes in the two simulations are identical, hence this behaviour is purely driven by numerical diffusion. The cloud is similarly thinned when sinusoidal orographic features are introduced. The reduction depends on the amplitude and wavelength of the perturbations and hills. Increasing the horizontal resolution partly mitigates the numerical diffusion. However, this is a very costly measure for an operational weather model. We suggest conducting further research on a new vertical coordinate with additional local smoothing of the orographic signal.