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Boundary-Layer Meteorology

, Volume 158, Issue 1, pp 105–123 | Cite as

Influence of Leaf Area Index on the Radiometric Resistance to Heat Transfer

  • Lei Zhao
  • Xuhui Lee
  • Andrew E. Suyker
  • Xuefa Wen
Article

Abstract

Sensible heat flux is an important component of the surface energy balance. Land surface models often use the radiative surface temperature instead of the aerodynamic temperature to predict the surface sensible flux, because the former is much easier to observe by remote sensing or to compute from the surface energy balance equation. Here, measurements from 44 FLUXNET sites are used to examine the stability and leaf area index (LAI) dependence of the radiometric resistance, a resistance that should be included in the bulk transfer method if the radiometric temperature is used for the flux calculation. Results show that the radiometric resistance is much higher under stable conditions than under unstable conditions. In unstable conditions, the radiometric resistance is highly sensitive to LAI, decreasing exponentially as LAI increases. Omission of the radiometric resistance from the bulk transfer method causes a large overestimation in the sensible heat flux, especially for low-LAI surfaces and under unstable conditions.

Keywords

Aerodynamic temperature Leaf area index Radiative surface temperature Radiometric resistance Sensible heat flux 

Notes

Acknowledgments

This research was supported in part by the Ministry of Education of China (grant PCSIRT). The first author also acknowledges support by a Yale University graduate fellowship.

Supplementary material

10546_2015_70_MOESM1_ESM.pdf (6.3 mb)
Supplementary material 1 (pdf 6437 KB)
10546_2015_70_MOESM2_ESM.docx (10 kb)
Supplementary material 2 (docx 10 KB)

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Lei Zhao
    • 1
    • 2
  • Xuhui Lee
    • 1
    • 2
  • Andrew E. Suyker
    • 3
  • Xuefa Wen
    • 4
  1. 1.Yale-NUIST Center on Atmospheric EnvironmentNanjing University of Information, Science and TechnologyNanjingChina
  2. 2.School of Forestry and Environmental StudiesYale UniversityNew HavenUSA
  3. 3.School of Natural ResourcesUniversity of NebraskaLincolnUSA
  4. 4.Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina

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