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Field Measurement of Effective Leaf Area Index using Optical Device in Vegetation Canopy
Published on: July 29, 2021
Testing the hypothesis on the relationship between aerodynamic roughness length and albedo using vegetation structure
Jaeil Cho1, Shin Miyazaki, Pat J-F Yeh
1Kasuya Research Forest, Kyushu University, Sasaguri, Fukuoka, 811-2415, Japan. chojaeil@gmail.com
International Journal of Biometeorology
|May 13, 2011
Summary
A new study reveals a direct link between surface albedo (α) and aerodynamic roughness length (z(0)) in vegetated areas. This finding, based on global field data, improves estimations of land surface properties for climate modeling.
Area of Science:
- Earth and Environmental Sciences
- Atmospheric Science
- Land Surface Physics
Background:
- Surface albedo (α) and aerodynamic roughness length (z(0)) are crucial for partitioning energy fluxes and understanding biosphere-atmosphere interactions.
- These land surface properties influence climate variability, but their relationship with canopy structure lacks empirical data.
Purpose of the Study:
- To investigate and quantify the relationship between surface albedo (α) and aerodynamic roughness length (z(0)) for vegetated surfaces.
- To test the hypothesis that a functional relationship exists between α and z(0) due to shared links with canopy structure.
Main Methods:
- Utilized 50 site-years of field measurements from diverse vegetated sites globally.
- Analyzed the collected data to identify correlations between surface albedo, aerodynamic roughness length, and canopy structure parameters.
Main Results:
- A significant negative linear relationship was identified between surface albedo (α) and the logarithm of aerodynamic roughness length (log(z(0))).
- This relationship is demonstrably linked to underlying canopy structural characteristics.
Conclusions:
- The study establishes a quantifiable, functional relationship between surface albedo and aerodynamic roughness length for vegetated surfaces.
- This finding represents a significant advancement for accurate estimation of aerodynamic roughness length, with implications for land property parameterization and satellite remote sensing.

