A Surface Flux Estimation Scheme Accounting for Large-Eddy Effects for Land Surface Modeling
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Department of Hydrology and Atmospheric Sciences, The University of ArizonaIssue Date
2022-12-07
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John Wiley and Sons IncCitation
Liu, S., Zeng, X., Dai, Y., Yuan, H., Wei, N., Wei, Z., Lu, X., & Zhang, S. (2022). A Surface Flux Estimation Scheme Accounting for Large-Eddy Effects for Land Surface Modeling. Geophysical Research Letters, 49(23).Journal
Geophysical Research LettersRights
© 2022. The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
We propose a surface flux estimation formula to account for large eddy effects by keeping the boundary layer depth the only added parameter. We develop a novel way to evaluate the estimation formula by using a set of independent large eddy simulations, in which the vertical extents of largest eddies affecting surface layer are confined in a wide range of depths. It is found that these confined vertical extents hold a significant linear relationship (with slope of ∼1) with the inversely estimated vertical extents of affecting large eddies. This close relationship between the two vertical extents verifies the hypothesis that the boundary layer depth is linearly relevant for accounting for large eddy effects. Moreover, the two vertical extents are found to be comparable in value. This implies that the estimation formula we propose here is likely to be valid and applicable to unstable boundary layer in general. © 2022. The Authors.Note
Open access articleISSN
0094-8276Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1029/2022GL101754
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Except where otherwise noted, this item's license is described as © 2022. The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License.