Advances in Atmospheric Sciences

, Volume 34, Issue 5, pp 613–622

A new parameterization of canopy radiative transfer for land surface radiation models

  • Feng Zhang
  • Yadong Lei
  • Jia-Ren Yan
  • Jian-Qi Zhao
  • Jiangnan Li
  • Qiudan Dai
Original Paper

DOI: 10.1007/s00376-016-6139-2

Cite this article as:
Zhang, F., Lei, Y., Yan, JR. et al. Adv. Atmos. Sci. (2017) 34: 613. doi:10.1007/s00376-016-6139-2

Abstract

A new parameterization of canopy asymmetry factor on phase function, which is dependent on the leaf normal distribution and leaf reflection/transmission, is derived. This new parameterization is much more accurate than the existing scheme. In addition, the new solutions for both the diffuse and direct radiation can be obtained using the Eddington approximation. It is found that the direct radiation can be described as a function of the diffuse radiation. This new approach offers a substantial improvement in accuracy, as compared with the hemispheric constant method, for both isotropic and anisotropic cases. Given the analytical nature of the solution and its high accuracy, we recommend the new parameterization for application in land surface radiation modeling.

Key words

radiative transfer canopy asymmetry factor Eddington approximation 

Copyright information

© Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Feng Zhang
    • 1
  • Yadong Lei
    • 1
  • Jia-Ren Yan
    • 1
  • Jian-Qi Zhao
    • 2
  • Jiangnan Li
    • 3
  • Qiudan Dai
    • 2
  1. 1.Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisasterNanjing University of Information Science & TechnologyNanjingChina
  2. 2.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  3. 3.Canadian Center for Climate Modeling and AnalysisUniversity of VictoriaBritish ColumbiaCanada

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