Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain. A case study using WRF-LES V4.0.1

  • We evaluate the influence of a forest parametrization on the simulation of the boundary layer flow over moderate complex terrain in the context of the Perdigão 2017 field campaign. The numerical simulations are performed using the Weather Research and Forecasting model in large eddy simulation mode (WRF-LES). The short-term, high-resolution (40 m horizontal grid spacing) and long-term (200 m horizontal grid spacing) WRF-LES are evaluated for an integration time of 12 h and 1.5 months, respectively, with and without forest parameterization. The short-term simulations focus on low-level jet events over the valley, while the long-term simulations cover the whole intensive observation period (IOP) of the field campaign. The results are validated using lidar and meteorological tower observations. The mean diurnal cycle during the IOP shows a significant improvement of the along-valley wind speed and the wind direction when using the forest parametrization. However, the drag imposed by the parametrization results in an underestimation of the cross-valley wind speed, which can be attributed to a poor representation of the land surface characteristics. The evaluation of the high-resolution WRF-LES shows a positive influence of the forest parametrization on the simulated winds in the first 500 m above the surface.

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Author:Julian Quimbayo-DuarteORCiD, Johannes WagnerORCiD, Norman WildmannORCiDGND, Thomas GerzORCiDGND, Jürg SchmidliORCiDGND
URN:urn:nbn:de:hebis:30:3-752143
DOI:https://doi.org/10.5194/gmd-15-5195-2022
ISSN:1991-9603
Parent Title (English):Geoscientific model development
Publisher:Copernicus
Place of publication:Katlenburg-Lindau
Document Type:Article
Language:English
Date of Publication (online):2022/07/07
Date of first Publication:2022/07/07
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2024/08/19
Volume:15
Issue:13
Page Number:15
First Page:5195
Last Page:5209
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Code and data availability
WRF is an open source model which can be obtained from their developers (National Center for Atmospheric Research, NCAR US) at https://github.com/wrf-model/WRF (NCAR US, 2022). The model output to produce the figures displayed in the present work, along with the WRF name list to perform the numerical simulations are openly available in Zenodo at https://doi.org/10.5281/zenodo.5566933 Titel (Quimbayo-Duarte et al., 2021b). The observational data used in this work can be openly found in Zenodo at (Quimbayo-Duarte et al., 2021b). The full field experiment dataset can be found in the official Perdigão 2017 field campaign repository at (re3data.org, 2019).
Note:
Funding: Hans Ertel Centre for Weather Research of the DWD ; 4818DWDP4
Note:
Funding: DFG ; 428312742
Note:
Funding: DKRZ ; bb1096
Note:
Open access funding enabled and organized by Projekt DEAL.
Note:
Gefördert durch den Open-Access-Publikationsfonds der Goethe-Universität.
HeBIS-PPN:521206529
Institutes:Geowissenschaften / Geographie
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Sammlungen:Universitätspublikationen
Open-Access-Publikationsfonds:Geowissenschaften / Geographie
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International