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陆面模式中根系参数的改进及其对模拟结果的影响

才奎冶1,刘晶淼2,3**,张正秋3,梁宏4,何晓东1   

  1. 1营口市气象台, 辽宁营口 115001; 2中国气象局沈阳大气环境研究所, 沈阳 110016; 3中国气象科学研究院, 北京 100081; 4中国气象局气象探测中心, 北京 100081)
  • 出版日期:2015-10-18 发布日期:2015-10-18

Improvement of root parameters in land surface model (LSM) and its effect on the simulated results.

CAI Kui-ye1, LIU Jing-miao2,3, ZHANG Zheng-qiu3, LIANG Hong4, HE Xiao-dong1   

  1. (1Yingkou Meteorological Observatory, Yingkou 115001, Liaoning, China; 2Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China; 3Chinese Academy of Meteorological Sciences, Beijing 100081, China; 4Meteorological Observation Center, China Meteorological Administration, Beijing 100081, China)
  • Online:2015-10-18 Published:2015-10-18

摘要: 为改进陆面模式中根系的参数化,本文在陆面模式SSiB2玉米农田参数本地化的基础上,将CERES-Maize的根系子模型嵌套到SSiB2模式中,研究2种改进的根系参数化方案对陆气通量模拟结果的影响.结果表明: 当根系模型只为SSiB2模式提供根系深度参数(方案1)时,陆气通量的模拟精度有所提高:整个生育期内,感热通量、潜热通量等的模拟值与观测值的相关系数增大,线性拟合的均方根误差减小;播种后121天成熟,CO2通量的模拟精度也有所提高.当根系模型为SSiB2模式同时提供根系深度和根长密度两种参数(方案2)时,上述通量的模拟精度较原SSiB2模式同样得以提高.与方案1相比,方案2考虑因素更为复杂、全面,但陆气通量的模拟效果却反而有所下降.改进的根系参数化方案较原SSiB2模式的根系参数化方案更接近实际,这使陆气通量的模拟精度提高;方案2过分夸大了表层土壤的相对根量,使其模拟效果逊色于方案1.

Abstract:

In order to improve root parameterization in land surface model, the submodel for root in CERES-Maize was coupled in the SSiB2 after calibrating of maize parameters in SSiB2. The effects of two improved root parameterization schemes on simulated results of land surface flux were analyzed. Results indicated that simulation accuracy of land surface flux was enhanced when the root module provided root depth only with the SSiB2 model (scheme Ⅰ). Correlation coefficients between observed and simulated values of latent flux and sensible flux increased during the whole growing season, and RMSE of linear fitting decreased. Simulation accuracy of CO2 flux was also enhanced from 121 days after sowing to mature period. On the other hand, simulation accuracy of the flux was enhanced when the root module provided root depth and root length density simultaneously for the SSiB2 model (scheme Ⅱ). Compared with the scheme Ⅰ, the scheme Ⅱ was more comprehensive, while its simulation accuracy of land surface flux decreased. The improved root parameterization in the SSiB2 model was better than the original one, which made simulated accuracy of landatmospheric flux improved. The scheme Ⅱ overestimated root relative growth in the surface layer soil, so its simulated accuracy was lower than that of the scheme Ⅰ.