地球科学进展 ›› 2014, Vol. 29 ›› Issue (5): 598 -607. doi: 10.11867/j.issn.1001-8166.2014.05.0598

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玉米冠层辐射传输参数优化对陆气通量模拟的影响
蔡福 1( ), 明惠青 2, 纪瑞鹏 1, 冯锐 1, 米娜 1, 赵先丽 1, 张玉书 1( )   
  1. 1.中国气象局沈阳大气环境研究所,辽宁 沈阳 110166
    2.辽宁省气象服务中心,辽宁 沈阳 110166
  • 出版日期:2014-05-23
  • 基金资助:
    国家自然科学基金项目“东北春玉米根系吸水过程的控制机制及其参数方案改进对陆—气通量模拟的影响”(编号:41305058)资助

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

设置合理的冠层辐射传输参数有利于地表能量过程的真实表达,将对改善陆面过程模型模拟精度起到重要作用。基于2008年和2012年锦州农田生态系统的通量、气象及生物因子连续观测,分析了玉米农田叶面积指数、植被覆盖度、平均叶倾角、叶片反射率和透射率动态变化规律及各因子间的关系,对CoLM模型辐射传输参数进行优化,并对模型优化效果进行定量评价。结果表明:叶面积指数与植被覆盖度和平均叶倾角分别呈幂函数和二次函数关系;平均叶倾角的参数优化对模型模拟几乎没有影响;叶片反射率和透射率优化后,冠层反照率模拟精度明显提高;净辐射、感热模拟值对实测值解释能力分别提高0.6%和4.0%,Nash-Sutcliffes系数增大0.008和0.028,相对均方差(RRMSE)减小0.068和0.050;潜热模拟精度改善程度小于感热,地表热通量未表现出改善。

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.

中图分类号: 

图1 LAI与F veg的关系
Fig.1 Relationship between leaf area index and fraction of vegetation coverage
图2 平均叶倾角与LAI的关系
Fig.2 Relationship between mean leaf angle and leaf area index
图3 不同波段玉米叶片反射率和透射率与模型值对比((a)可见光;(b)近红外)
Fig.3 Comparison of leaf reflectivity and transmissivity in different wave-bands between observed and model values: (a)visible light; (b)near-infrared rays
表1 反射率与透射率优化前后对比
Table1 Comparison of leaf reflectivity and transmissivity between before and after parameters optimization
图4 冠层反照率对照和改进试验模拟值与实测值各月平均日动态对比 Obs.实测;ref.对照;imp1.改进1;imp2.改进2(下同)
Fig.4 Comparison of diurnal dynamics of monthly mean albedo between observed and simulated values from controlled and improved tests Obs.observation;ref,reference;imp1.firstly improved;imp2.secondly improved(the same below)
图5 各月净辐射(Nr)平均日变化模拟精度比较
Fig.5 Comparison of diurnal dynamics of monthly mean net radiation between observed and simulated values from controlled and improved tests
图6 生长季净辐射模拟值对实测值拟合精度的比较
Fig.6 Comparison of the?fitting?precision of simulation for observation of net radiation in growing season between controlled and improved tests
图7 各月平均日变化模拟值与实测值的比较 (a)感热(H); (b)潜热(LE); (c)土壤热通量(G)
Fig.7 Comparison of diurnal dynamics of monthly mean between observed and simulated values from controlled and improved tests (a)Sensible; (b)Latent; (c)Soil heat fluxes
图8 生长季感热(H)、潜热(LE)模拟值对实测值拟合精度的比较
Fig.8 Comparison of the?fitting?precision of simulation for observation of sensible and latent heat fluxes in growing season between controlled and improved tests
表2 模型模拟精度比较
Table 2 Comparisons of simulation accuracy between original and modified models
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