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Evaluation of a forest parameterization to improve boundary layer flow simulations over complex terrain

  • 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:30:3-752156
DOI:https://doi.org/10.5194/gmd-2021-274
ISSN:1991-962X
Parent Title (English):Geoscientific model development discussions
Publisher:Copernicus
Place of publication:Katlenburg-Lindau
Document Type:Article
Language:English
Date of Publication (online):2021/11/22
Date of first Publication:2021/11/22
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2024/08/19
Volume:[14.]2021
Issue:274
Page Number:22
First Page:1
Last Page:22
Note:
Begutachteter Artikel erschienen in: Geoscientific model development discussions, 15.2022, Nr. 13, S. 5195–5209, doi: 10.5194/gmd-15-5195-2022
Note:
Gefördert durch den Open-Access-Publikationsfonds der Goethe-Universität
Note:
Code and data availability. The WRF source code is available at: http://www2.mmm.ucar.edu/wrf/users/. The model output to produce the
figures displayed in the present work, along with the WRF namelist to perform the numerical simulations are openly available in Zenodo at
Quimbayo-Duarte et al. (2021). The observational data used in this work can be openly found in Zenodo at Quimbayo-Duarte et al. (2021).
The full field experiment dataset can be found in the official Perdigão 2017 field campaign repository at (re3data.org, 2019)
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

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