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遥感技术与应用
模型与反演     
近地表瞬时气温空间分布模拟方法比较研究
王 笑,祝善友,张桂欣
(南京信息工程大学遥感学院,江苏 南京 210044)
Comparison on Simulation Methods for Spatial Distributionof Near Surface Instantaneous Air Temperature
Wang Xiao,Zhu Shanyou,Zhang Guixin
(School of Remote Sensing,Nanjing University of Information Science & Technology,Nanjing 210044,China)
 全文: PDF(1806 KB)  
摘要: 近地表瞬时气温是描述地表与大气能量交换与水分循环的关键变量,是许多模型的输入参数之一。在常规气象观测站点稀少或没有常规气象观测站点的情况下,如何对近地表气温进行空间分布模拟,在理论方法与业务实践上都具有重要研究意义。以江苏省为研究区,比较了普通克里金插值、多元线性回归分析和温度—植被指数方法用于瞬时气温空间分布模拟的精度,分析了这些方法的误差分布特征和变化规律,并在此基础上探讨了这3类气温空间分布模拟方法的适用性。结果表明:多元线性回归分析方法的误差最小,平均绝对误差(MAE)和均方根误差(RMSE)分别为0.42和0.51℃,其结果与普通克里金插值方法接近,温度—植被指数方法反演的精度相对较低,MAE和RMSE分别为2.49和3.32 ℃;这3类方法在不同的数据来源和下垫面状况下具有不同的适用性。
关键词: 近地表瞬时气温普通克里金多元线性回归温度—植被指数方法    
Abstract: Near surface air temperature is a key factor in energy and water exchanges between land surface and atmosphere,and it is an important input parameter in many models.It is of great significance to obtain spatial distributions of the near surface instantaneous air temperature when there are rare or not traditionally meteorological observations.Taking Jiangsu province as the study area,the paper compared precisions of the ordinary kriging interpolation,multivariate linear regression analysis and temperature-vegetation index method used for retrieving near surface air temperature,and then analyzed the characteristics and variations of the error distribution from the three methods.Furthermore,the applicabilities of different simulation methods were discussed.Results show that the error of the multiple linear regression analysis method is minimum with its Mean Absolute Error (MAE) and Root Mean Square Error(RMSE) are 0.42 ℃ and 0.51 ℃ respectively,which is close to the ordinary kriging interpolation method.The retrieval precision of the temperature-vegetation index method is relatively lower with its MAE and RMSE are 2.49 ℃ and 3.32 ℃ respectively.These three methods have different applicabilities in various data sources and underlying land surface conditions.
Key words: Near surface instantaneous air temperature    Ordinary kriging    Multivariate linear regression    Temperature-vegetation index method
收稿日期: 2012-09-06 出版日期: 2014-03-14
:  P 468  
基金资助: 国家自然科学基金青年科学基金项目“基于多源遥感数据的晴空下近地表气温时空分布反演研究”(41001289),江苏高校优势学科建设工程资助项目“环境科学与工程”。
通讯作者: 祝善友(1977-),男,山东日照人,副教授,主要从事热红外遥感基础理论与应用方面的研究。E-mail:zsyzgx@163.com。   
作者简介: 王 笑(1987-),女,江苏连云港人,硕士研究生,主要从事3S技术在气象方面的应用研究。E-mail:tiantian4776@126.com。
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王 笑,祝善友,张桂欣. 近地表瞬时气温空间分布模拟方法比较研究[J]. 遥感技术与应用, .

Wang Xiao,Zhu Shanyou,Zhang Guixin. Comparison on Simulation Methods for Spatial Distributionof Near Surface Instantaneous Air Temperature. Remote Sensing Technology and Application, .

链接本文:

http://www.rsta.ac.cn/CN/        http://www.rsta.ac.cn/CN/Y2013/V28/I5/858

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