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Titel |
The Von Kármán constant retrieved from CASES-97 dataset using a variational method |
VerfasserIn |
Y. Zhang, J. Ma, Z. Cao |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1680-7316
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Chemistry and Physics ; 8, no. 23 ; Nr. 8, no. 23 (2008-12-05), S.7045-7053 |
Datensatznummer |
250006480
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Publikation (Nr.) |
copernicus.org/acp-8-7045-2008.pdf |
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Zusammenfassung |
A variational method is developed to retrieve the von Kármán
constant κ from the CASES-97 dataset, collected near Wichita,
Kansas, the United States from 6 April to 24 May 1997. In the variational
method, a cost function is defined to measure the difference between
observed and computed gradients of wind speed, air temperature and specific
humidity. An optimal estimated von Kármán constant is obtained by
minimizing the cost function through adjusting values of the von
Kármán constant. Under neutral stratification, the variational
analysis confirms the conventional value of κ (=0.40). For
non-neutral stratification, however, κ varies with stability. The
computational results show that the κ decreases monotonously from
stable to unstable stratification. The variational calculated mean value of
the von Kármán constant is 0.383~0.390 when the atmospheric
stratification is taken into consideration. Relations between κ and
surface momentum and heat flux are also examined. |
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