Scale dependence of atmosphere-surface coupling through similarity theory
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Title: | Main Title: Scale dependence of atmosphere-surface coupling through similarity theory |
Description: | 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. |
Identifiers: | 10.1007/s10546-018-0386-y (DOI) 1573-1472 (ISSN) 0006-8314 (ISSN) https://link.springer.com/article/10.1007%2Fs10546-018-0386-y (URL) |
Citation Advice: | Ansorge, C. Boundary-Layer Meteorol (2018). https://doi.org/10.1007/s10546-018-0386-y |
Responsible Party
Creator: | Cedrick Ansorge (Author) |
Contributors: | Yaping Shao (Work Package Leader), Angela Kunoth (Work Package Leader) |
Funding Reference: | Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation |
Publisher: | Springer |
Publication Year: | 2018 |
Topic
TR32 Topic: | Atmosphere |
Related Subproject: | C7 |
Subjects: | 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 |
Geogr. Information Topic: | Climatology/Meteorology/Atmosphere |
File Details
Filename: | Ansorge2018_Article_ScaleDependenceOfAtmosphereSur.pdf |
Data Type: | Text - Article |
File Size: | 17 MB |
Dates: | Available: 25.08.2018 Submitted: 01.02.2018 Accepted: 09.08.2018 |
Mime Type: | application/pdf |
Data Format: | |
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) |
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Specific Information - Publication
Publication Status: | Published |
Review Status: | Peer reviewed |
Publication Type: | Article |
Article Type: | Journal |
Source: | Boundary-Layer Meteorology |
Source Website: | https://link.springer.com/article/10.1007%2Fs10546-018-0386-y |
Volume: | 169 |
Number of Pages: | 27 (1 - 27) |
Metadata Details
Metadata Creator: | Cedrick Ansorge |
Metadata Created: | 30.08.2018 |
Metadata Last Updated: | 30.08.2018 |
Subproject: | C7 |
Funding Phase: | 3 |
Metadata Language: | English |
Metadata Version: | V50 |
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Page Visits: | 584 |
Metadata Downloads: | 0 |
Dataset Downloads: | 2 |
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