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中国沙漠 ›› 2011, Vol. 31 ›› Issue (4): 1022-1030.

• 天气与气候 • 上一篇    下一篇

卫星遥感结合地面观测资料对中国西北干旱区地面感热通量的估算

王 慧1, 李栋梁1,2*   

  1. 1.南京信息工程大学 气象灾害省部共建教育部重点实验室, 江苏 南京 210044; 2.中国气象局 兰州干旱气象研究所, 甘肃 兰州 730020
  • 收稿日期:2010-09-05 修回日期:2010-11-15 出版日期:2011-07-20 发布日期:2011-07-20

Estimation of Surface Sensible Heat Flux over the Arid Region of Northwest China with the Aid of Satellite Remote Sensing and Field Observations

WANG Hui1, LI Dong-liang1,2   

  1. 1.Ministry of Education Key Laboratory of Meteorological Disaster,Nanjing University of Information Science & Technology,Nanjing 210044, China; 2.Institute of Arid Meteorology,China Meteorological Administration,Lanzhou 730020, China
  • Received:2010-09-05 Revised:2010-11-15 Online:2011-07-20 Published:2011-07-20

摘要: 利用黑河地区地-气相互作用野外观测试验研究(HEIFE)的地面观测资料,采用空气动力学方法,计算了干旱区内不同下垫面的地表热力输送系数CH值,结合由NOAA系列卫星遥感得到的反映地表植被特征的归一化差值植被指数(NDVI)资料,经拟合得到了针对不同下垫面的区域CH-NDVI参数化关系式,并对此关系式进行了合理性检验,最后,计算得到中国西北干旱区1982—2001年地面感热序列。中国西北干旱区地面感热通量的计算值与ERA-40再分析资料对比分析发现,两者在量级、地面感热分布形势和年际变化趋势等方面均较一致。目前对于区域尺度来说,在缺乏用其他方法获得较准确的区域地表热力输送系数的情况下,利用卫星遥感资料估算区域地表热力输送系数CH是较为可靠的方法。

关键词: 干旱区, 热力输送系数, NDVI, 地面感热, HEIFE

Abstract: The surface thermal transfer coefficients(CH) of different underlying surfaces over the arid region of Northwest China are calculated using the air dynamics method with the HEIFE field observations,and the CH-NDVI parametric relational equations are obtained by fitting method with the aid of the normalized difference vegetation index(NDVI) data observed by NOAA remote sensing satellites,and then the reasonableness of the equations is tested. Finally,the surface sensible heat flux over the arid region of northwest China from 1982 to 2001 are calculated. The comparative analyses of the surface sensible heat flux calculated by the observations of conventional meteorological stations and ERA-40 reanalysis data show that both are uniform on magnitude,the surface sensible heat flux distribution and interannual change tendency. Therefore,estimation of the surface thermal transfer coefficients with the aid of satellite remote sensing and field observations is a credible way under the absence of other accurate methods.

Key words: arid region, thermal transfer coefficient, NDVI, surface sensible heat flux

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