Impact of surface-heterogeneity on atmosphere and land-surface interactions

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Title:Main Title: Impact of surface-heterogeneity on atmosphere and land-surface interactions
Description:Abstract: Land-surface heterogeneity occurs on many scales, but its inclusion remains an unsolved problem in land-surface and atmospheric boundary-layer schemes for weather and climate models. We investigate the propagation of land-surface heterogeneity in a convective boundary layer using an atmosphere and land-surface coupled large-eddy model. Simulations are made for land surfaces of different heterogeneity scales and a uniform land surface. A multi-scale analysis is carried out and it is found that while domain-and-time averaged fluxes and state variables are not sensitive to land-surface heterogeneity, atmospheric patterns are. Close to the surface, atmospheric patterns are dominated by land-surface forced patterns; away from the surface, “eigen” patterns dominate and forced patterns reemerge for large averaging times. While small-scale land-surface features are more rapidly destroyed by turbulence, large-scale features can persist over hundreds of meters.
Citation Advice:Liu, S., Y. Shao, A. Kunoth, and C. Simmer, 2017: Impact of surface-heterogeneity on atmosphere and land surface interactions. Environmental Modelling and Software, doi:10.1016/j.envsoft.2016.11.006, 88, 35–47.
Responsible Party
Creators:Shaofeng Liu (Author), Yaping Shao (Author), Angela Kunoth (Author), Clemens Simmer (Author)
Publication Year:2017
TR32 Topic:Atmosphere
Related Subproject:D6
Subjects:Keywords: Atmosphere–Land Interaction, Heterogeneous Surface, LES
File Details
Data Type:Text - Article
File Size:4.1 MB
Date:Created: 10.02.2017
Mime Type:application/pdf
Data Format:PDF
Download Permission:Only Project Members
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Environmental Modelling & Software
Number of Pages:13 (35 - 47)
Metadata Details
Metadata Creator:Shaofeng Liu
Metadata Created:10.02.2017
Metadata Last Updated:10.02.2017
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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