主办单位：中国气象局沈阳大气环境研究所
国际刊号：ISSN 1673-503X
国内刊号：CN 21-1531/P
气象与环境学报

气象与环境学报 ›› 2014, Vol. 30 ›› Issue (5): 78-82.doi:

• 论文 • 上一篇    下一篇

植被地表反照率动态模拟方法比较—以玉米农田为例

蔡福1  明惠青2  赵先丽1  米娜1  梁涛3  宋国云4 陈雨4 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；3. 锦州市生态与农业气象中心，辽宁 锦州，121001； 4. 辽宁省气象信息中心， 辽宁 沈阳 110166
  • 出版日期:2014-11-01 发布日期:2014-11-01

Comparison on dynamic simulation methods of vegetation surface albedo: a case study in maize field

CAI Fu1  MING Hui-qing2  ZHAO Xian-li1  MI Na1  LIANG Tao3  SONG Guo-yun4 CHEN Yu4 ZHANG Yu-shu1   

  1. 1. Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China; 2. Liaoning Province Meteorological Service Center, Shenyang 110166, China; 3. Jinzhou Ecological & Agricultural Meteorology Centre, Jinzhou 121001, China; 4. Liaoning Meteorological Information Center, Shenyang 110166, China
  • Online:2014-11-01 Published:2014-11-01

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摘要：

利用2007年锦州玉米农田生态系统野外观测站玉米生长季辐射资料，对地表反照率综合模型、半经验双层模型和简化双层模型模拟精度进行比较。结果表明：简化双层模型在玉米生育初期模拟能力较差，其他时段模拟能力都较强，尤其在玉米生育后期更为明显；半经验双层模型除在玉米叶面积指数处于最大时期模拟误差较小外，其他时段基本无法模拟。综合模型大部分时段模拟能力都较强，仅在玉米生育后期模拟能力稍差，该模型对实现玉米农田地表反照率动态参数化更为理想，可为改进陆面过程模型提供参考。

关键词: 玉米农田, 植被地表反照率, 动态模拟方法

Abstract:

Using radiation data from Jinzhou agricultural ecosystem research station during corn growing season in 2007, simulation precisions of vegetation surface albedo (α) from different dynamic simulation models were compared, including models of a comprehensive (CM), a semi-empirical double layer (SEDLM) and a simplified double layer (SDLM). The results show that the SDLM achieves higher simulation precision in most time of growing season, except during the seedling period. However, simulation errors of the SEDLM are only acceptable when leaf area index reaches the maximum, and α simulated by the SEDLM is useless in most growth periods. By contrast, the CM exhibites stronger simulation ability in most growth periods, except during the late growth. Therefore, the CM is the desirable method to perform dynamic parameterization of α in maize field, which could provide references for improving land surface model.

Key words: Maize field, Vegetation surface albedo, Dynamic simulation method