A multi-level canopy radiative transfer scheme for ORCHIDEE(SVN r2566), based on a domain-averaged structure factor

Abstract. In order to better simulate heat fluxes over multilayer ecosystems, in particular tropical forests and savannahs, the next generation of Earth system models will likely include vertically-resolved vegetation structure and multi-level energy budgets. We present here a multi-level radiation transfer scheme which is capable of being used in conjunction with such methods. It is based on a previously established scheme which encapsulates the three dimensional nature of canopies, through the use of a domain-averaged structure factor, referred to here as the effective leaf area index. The fluxes are tracked throughout the canopy in an iterative fashion until they escape into the atmosphere or are absorbed by the canopy or soil; this approach explicitly includes multiple scattering between the canopy layers. A series of tests show that the results from the two-layer case are in acceptable agreement with those from the single layer, although the computational cost is necessarily increased due to the iterations. The ten-layer case is less precise, but still provides results to within an acceptable range. This new approach allows for the calculation of radiation transfer in vertically resolved vegetation canopies simulated in global circulation models.

[1]  R. Qualls,et al.  A multiple‐layer canopy scattering model to simulate shortwave radiation distribution within a homogeneous plant canopy , 2005 .

[2]  O. Björkman Responses to Different Quantum Flux Densities , 1981 .

[3]  E. Schulze,et al.  Leaf nitrogen, photosynthesis, conductance and transpiration : scaling from leaves to canopies , 1995 .

[4]  J. Lovell,et al.  The Canopy Semi-analytic Pgap And Radiative Transfer (CanSPART) model: Formulation and application , 2012 .

[5]  Jean-Philippe Gastellu-Etchegorry,et al.  A canopy radiative transfer scheme with explicit FAPAR for the interactive vegetation model ISBA‐A‐gs: Impact on carbon fluxes , 2013 .

[6]  R. Monson,et al.  Isoprene and monoterpene emission rate variability: Model evaluations and sensitivity analyses , 1993 .

[7]  David Yates,et al.  Directional radiometric temperature profiles within a grass canopy , 2000 .

[8]  P. Berbigier,et al.  Partitioning net ecosystem carbon exchange into net assimilation and respiration using 13CO2 measurements: A cost‐effective sampling strategy , 2003 .

[9]  R. Dickinson,et al.  Simplifying the Interaction of Land Surfaces with Radiation for Relating Remote Sensing Products to Climate Models , 2006 .

[10]  Philippe Ciais,et al.  Modelling forest management within a global vegetation model—Part 1: Model structure and general behaviour , 2010 .

[11]  Modeling radiative transfer in tropical rainforest canopies: sensitivity of simulated albedo to canopy architectural and optical parameters. , 2011, Anais da Academia Brasileira de Ciencias.

[12]  K. Omasa,et al.  Factors contributing to accuracy in the estimation of the woody canopy leaf area density profile using 3D portable lidar imaging. , 2007, Journal of experimental botany.

[13]  I. C. Prentice,et al.  A dynamic global vegetation model for studies of the coupled atmosphere‐biosphere system , 2005 .

[14]  C. Ottlé,et al.  A multi-layer land surface energy budget model for implicit coupling with global atmospheric simulations , 2014 .

[15]  Enhanced two-layer radiative transfer scheme for a land surface model with a discontinuous upper canopy , 2001 .