Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Discussion papers
https://doi.org/10.5194/gmd-2019-242
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-242
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: development and technical paper 02 Oct 2019

Submitted as: development and technical paper | 02 Oct 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Implementation of a roughness sublayer parameterization in the Weather Research and Forecasting model (WRF version 3.7.1) and its validation for regional climate simulations

Junhong Lee1,2, Jinkyu Hong1, Yign Noh1, and Pedro Jiménez3 Junhong Lee et al.
  • 1Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
  • 2Max Planck Institute for Meteorology, Bundesstraße 53, 20146 Hamburg, Germany
  • 3Research Application Laboratory, National Center for Atmospheric Research, Boulder, CO, USA

Abstract. The roughness sublayer (RSL) is one compartment of the surface layer (SL) where turbulence deviates from Monin–Obukhov similarity theory. As the computing power increases, model grid sizes approach to the gray zone of turbulence in the energy containing range and the lowest model layer is located within the RLS. In this perspective, the RSL has an important implication in atmospheric modelling research. However, it has not been explicitly simulated in atmospheric mesoscale models. This study incorporates the RSL model proposed by Harman and Finnigan (2007, 2008) into the Jiménez et al. (2012) SL scheme. A high-resolution simulation performed with the Weather Research and Forecasting model (WRF) illustrates the impacts of the RSL parameterization on the wind, air temperature, and rainfall simulation in the atmospheric boundary layer. As the roughness parameters vary with the atmospheric stability and vegetative phenology in the RSL model, our RSL implementation reproduces the observed surface wind, particularly over tall canopies in the winter season by reducing the root mean square error (RMSE) from 3.1 to 1.8 m s−1. Moreover, the improvement is relevant to air temperature (from 2.74 to 2.67 K of RMSE) and precipitation (from 140 to 135 mm month−1 of RMSE), although its impact is not as substantial as that to wind speed. Our findings suggest that the RSL must be properly considered both for better weather and climate simulation and for the application of wind energy and atmospheric dispersion.

Junhong Lee et al.
Interactive discussion
Status: open (until 27 Nov 2019)
Status: open (until 27 Nov 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Junhong Lee et al.
Model code and software

Roughness sublayer model for the WRF J. Lee and J. Hong https://doi.org/10.5281/zenodo.3456293

Junhong Lee et al.
Viewed  
Total article views: 162 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
120 38 4 162 8 2 2
  • HTML: 120
  • PDF: 38
  • XML: 4
  • Total: 162
  • Supplement: 8
  • BibTeX: 2
  • EndNote: 2
Views and downloads (calculated since 02 Oct 2019)
Cumulative views and downloads (calculated since 02 Oct 2019)
Viewed (geographical distribution)  
Total article views: 107 (including HTML, PDF, and XML) Thereof 107 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 15 Oct 2019
Publications Copernicus
Download
Short summary
As the computing power increases, the grid size of atmospheric models is moving toward the gray zone of turbulence (the scales on the order of the energy-containing range). Nevertheless, the roughness sublayer, which is compartment of the inertial sublayer, has not been considered in high resolution mesoscale models. This study coupled a roughness sublayer parameterization into the Weather Research and Forecast model and evaluates its performance to simulate climate near the earth surface.
As the computing power increases, the grid size of atmospheric models is moving toward the gray...
Citation