Advances in Earth Science ›› 2014, Vol. 29 ›› Issue (5): 598-607. doi: 10.11867/j.issn.1001-8166.2014.05.0598

• Orginal Article • Previous Articles     Next Articles

Effects of Maize Canopy Radiative Transfer Parameters Optimization on Simulating Land-Atmosphere Flux Exchanges

Fu Cai 1( ), Huiqing Ming 2, Ruipeng Ji 1, Rui Feng 1, Na Mi 1, XianLi Zhao 1, Yushu Zhang 1( )   

  1. 1.Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166,China
    2.Liaoning Province Meteorological Service Center, Shenyang 110166,China )
  • Online:2014-05-23 Published:2014-05-10

Fu Cai, Huiqing Ming, Ruipeng Ji, Rui Feng, Na Mi, XianLi Zhao, Yushu Zhang. Effects of Maize Canopy Radiative Transfer Parameters Optimization on Simulating Land-Atmosphere Flux Exchanges[J]. Advances in Earth Science, 2014, 29(5): 598-607.

A reasonable canopy radiative transfer parameters setting will play an important role in improving the simulation performance of land surface process model. This research was to investigate and assess the effects of optimized radiative transfer parameters in CoLM model on simulating land-atmosphere flux exchanges. Firstly, based on continuous observations of land-atmosphere flux exchanges, meteorological and biological elements from 2008 and 2012 at Jinzhou agricultural ecosystem research station, dynamic rules of maize field Leaf Area Index(LAI), fraction of vegetation coverage(Fveg), Mean Leaf Angle(MLA), leaf reflectivity and transmissivity and their inter relationships were analyzed. Secondly, radiative transfer parameters in CoLM model were optimized with above the rules and relationships. Lastly, the effects of parameters optimization were quantificationally assessed with the criteria including Nash Sutcliffe(NS) and Relative Root Mean Square Error(RRMSE). The results showed that LAI had power and quadratic relationships with Fveg and MLA, respectively. Model simulation precision was hardly any affected with optimization of MLA. On the contrary, with leaf reflectivity and transmissivity optimized, canopy albedo simulation precision was obviously increased, which improved the simulation performance of CoLM for net radiation and sensible heat flux with the explanatory ability of simulations to observations increased 0.6 and 4.0 percent, NS increasing 0.008 and 0.028 as well as RRMSE decreasing 0.068 and 0.050, respectively. However, simulation performance of latent heat flux improved lesser than sensible heat flux. Soil heat flux simulation was hardly improved.

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