On the range of boundary layer model results depending on inaccurate input data

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Gross, G.: On the range of boundary layer model results depending on inaccurate input data. In: Meteorologische Zeitschrift 28 (2019), Nr. 3, S. 225-234. DOI: https://doi.org/10.1127/metz/2019/0952

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A one-dimensional boundary layer model was used to study the effects of uncertain input data on 2-m temperature and 10-m wind. Based on a very large number of numerical results, it can be demonstrated, that even a small degree of ambiguity can have significant implications, especially for temperature. In 50 % of all 6,000 simulations for flat terrain and randomly chosen sets of input data within narrow limits, temperature uncertainty was more than 2 K, and in 14 % of all cases more than 4 K, with a maximum of 9 K. Effect on wind speed is much smaller and depends mostly on surface roughness length. For a forest scenario, the results for temperature of 18,000 simulations are in the same order, with 25 % of the ensemble show temperature uncertainties of more than 2 K, and 6 % of more than 4 K, while wind speed above a forest is much more affected than for the bare soil case. In addition, the contribution of uncertainties of individual input data was estimated.
License of this version: CC BY-NC 4.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Mathematik und Physik

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1 image of flag of Germany Germany 20 68.97%
2 image of flag of United States United States 3 10.34%
3 image of flag of No geo information available No geo information available 1 3.45%
4 image of flag of India India 1 3.45%
5 image of flag of Israel Israel 1 3.45%
6 image of flag of United Kingdom United Kingdom 1 3.45%
7 image of flag of Spain Spain 1 3.45%
8 image of flag of Czech Republic Czech Republic 1 3.45%

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