Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 225-234 |
| Seitenumfang | 10 |
| Fachzeitschrift | Meteorologische Zeitschrift |
| Jahrgang | 28 |
| Ausgabenummer | 3 |
| Frühes Online-Datum | 1 Apr. 2019 |
| Publikationsstatus | Veröffentlicht - 9 Okt. 2019 |
Abstract
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.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Atmosphärenwissenschaften
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in: Meteorologische Zeitschrift, Jahrgang 28, Nr. 3, 09.10.2019, S. 225-234.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - On the range of boundary layer model results depending on inaccurate input data
AU - Gross, Günter
N1 - Acknowledgements: This paper is part of the MOSAIK-project, which is funded by the German Federal Ministry of Education and Research (BMBF) under Grant 01LP1601 within the framework of Research for Sustainable Development (FONA; www.fona.de).
PY - 2019/10/9
Y1 - 2019/10/9
N2 - 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.
AB - 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.
KW - Boundary layer model
KW - Flat terrain
KW - Forest
KW - Input data uncertainties
KW - Sensitivity study
UR - http://www.scopus.com/inward/record.url?scp=85073688835&partnerID=8YFLogxK
U2 - 10.1127/metz/2019/0952
DO - 10.1127/metz/2019/0952
M3 - Article
AN - SCOPUS:85073688835
VL - 28
SP - 225
EP - 234
JO - Meteorologische Zeitschrift
JF - Meteorologische Zeitschrift
SN - 0941-2948
IS - 3
ER -