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卫星遥感结合地面观测资料对中国西北干旱区地表热力输送系数的估算
引用本文:王慧,李栋梁. 卫星遥感结合地面观测资料对中国西北干旱区地表热力输送系数的估算[J]. 大气科学, 2010, 34(5): 1026-1034. DOI: 10.3878/j.issn.1006-9895.2010.05.16
作者姓名:王慧  李栋梁
作者单位:南京信息工程大学,气象灾害省部共建教育部重点实验室,南京,210044;南京信息工程大学,气象灾害省部共建教育部重点实验室,南京,210044;中国气象局兰州干旱气象研究所,兰州,730020
基金项目:国家自然科学基金资助项目40875059,干旱气象科学研究基金项目IAM200801,江苏省2009年度普通高校研究生科研创新计划(CX09B_218Z)
摘    要:本文利用黑河野外试验 (HEIFE) 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, 结合由美国国家海洋和大气局 (NOAA) 系列卫星遥感观测的反映地表植被特征的归一化差值植被指数 (NDVI) 资料, 经拟合得到了针对我国西北干旱区不同下垫面的CH-NDVI参数化关系式, 并对此关系式进行了合理性检验。结果表明: 对于区域尺度而言, 在缺乏用其他方法获得较准确的区域CH值的情况下, 利用卫星遥感结合地面观测资料对其估算是较为可靠的方法。

关 键 词:干旱区  热力输送系数  NDVI  地面感热  黑河野外试验

Estimation of the Surface Thermal Transfer Coefficients over the Arid Region of Northwest China with the Aid of Satellite Remote Sensing and Field Observations
WANG Hui and LI Dongliang. Estimation of the Surface Thermal Transfer Coefficients over the Arid Region of Northwest China with the Aid of Satellite Remote Sensing and Field Observations[J]. Chinese Journal of Atmospheric Sciences, 2010, 34(5): 1026-1034. DOI: 10.3878/j.issn.1006-9895.2010.05.16
Authors:WANG Hui and LI Dongliang
Affiliation:1.Nanjing University of Information Science & Technology, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing,2100442.Nanjing University of Information Science & Technology, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing,210044Institute of Arid Meteorology, China Meteorological Administration, Lanzhou,730020
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 Heihe field experiment (HEIFE) observations, and theCH-NDVI parametric relational expressions are obtained by fitting method with the aid of the normalized difference vegetation index (NDVI) data observed by the National Oceanic and Atmospheric Administration (NOAA) remote sensing satellites, and then the authors make the reasonableness test to them. The results show that estimation of the surface thermal transfer coefficients with the aid of satellite remote sensing and field observations is a credible way under the circumstances of the absence of other accurate methods.
Keywords:arid region   thermal transfer coefficient   NDVI   surface sensible heat flux   HEIFE
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