[1819] - Scale dependence of atmosphere-surface coupling through similarity theory

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Citation
Ansorge, C., 2018. Scale dependence of atmosphere-surface coupling through similarity theory. Boundary-Layer Meteorology, 169, 1 - 27. DOI: 10.1007/s10546-018-0386-y.
Identification
Title(s):Main Title: Scale dependence of atmosphere-surface coupling through similarity theory
Description(s):Abstract: Monin–Obukhov similarity theory (MOST) applies for homogeneous and stationary conditions but is used in ever more complex and heterogeneous configurations. Here, it is used to estimate the surface friction velocity u from the wind speed and temperature in the atmospheric surface layer (ASL). Filters of varying scale and direction are applied to wind speed and temperature in the ASL before MOST is used to estimate u. This procedure unveils the scale dependence of coupling between the ASL and the surface. Direct numerical simulation of turbulent Ekman flow above a smooth surface is used to explicitly resolve the near-wall dynamics. It is found that the viscous sub-layer may cease to exist, even in continuously turbulent neutral conditions, while the ASL covers more than one decade of variation in height. An underestimation in the variance of u estimated through MOST versus its actual variance is quantified as a function of height, averaging time, and length scale. For large filter scales, the variance exhibits a purely statistical convergence—there is no signature of long-term memory beyond the scale of coherent turbulent motion. Joint convergence of u estimated by MOST and the actual u is obtained for filter scales beyond several thousand wall units, and only for data filtered along both horizontal dimensions; the three-dimensional structure of the turbulence elements limits the convergence of data filtered along any of the single dimensions: time, the streamwise or spanwise direction. In stably stratified conditions, MOST is found to have no or negative skill in locally estimating ASL properties from u and should therefore only be applied to filtered quantities.
Identifier(s):DOI: 10.1007/s10546-018-0386-y
ISSN: 1573-1472
ISSN: 0006-8314
URL: https://link.springer.com/article/10.1007%2Fs10546-018-0386-y
Citation Advice:Ansorge, C. Boundary-Layer Meteorol (2018). https://doi.org/10.1007/s10546-018-0386-y
Responsible Party
Creator(s):Author: Cedrick Ansorge
Contributor(s):Work Package Leader: Yaping Shao
Work Package Leader: Angela Kunoth
Funding Reference(s):Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation
Publisher:Springer
Topic
TR32 Topic:Atmosphere
Related Sub-project(s):C7
Subject(s):CRC/TR32 Keywords: 10m-Wind Speed, 2m-Temperature, Atmosphere–Land Interaction, Atmospheric Stability, Boundary-Layer Stability, Heterogeneous Surface, Multi-Scale, Numerical Simulation, Pattern, Scale, Surface Fluxes, Temperature Profiles, Turbulent Fluxes, Wind Turbulence
Topic Category:ClimatologyMeteorologyAtmosphere
File Details
File Name:Ansorge2018_Article_ScaleDependenceOfAtmosphereSur.pdf
Data Type:Text
File Size:17377 kB (16.97 MB)
Date(s):Available: 2018-08-25
Date Submitted: 2018-02-01
Date Accepted: 2018-08-09
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:Creative Commons Attribution 4.0 International (CC BY 4.0)
Geographic
North:-no map data
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Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2018
Type:Article
Article Type:Journal
Source:Boundary-Layer Meteorology
Volume:169
Number Of Pages:27
Page Range:1 - 27
Metadata Details
Metadata Creator:Cedrick Ansorge
Metadata Created:2018-08-30
Metadata Last Updated:2018-08-30
Subproject:C7
Funding Phase:3
Metadata Language:English
Metadata Version:V43
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