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基于Modis地表温度的青藏高原东部及其邻近地区气温估算(英文)
引用本文:姚永慧,张百平.基于Modis地表温度的青藏高原东部及其邻近地区气温估算(英文)[J].地理学报(英文版),2012,22(1):152-166.
作者姓名:姚永慧  张百平
作者单位:State Key Laboratory of Resource and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS
基金项目:National Natural Science Foundation of China,No.41030528; No.41001278
摘    要:Climatic conditions are difficult to obtain in high mountain regions due to few meteorological stations and, if any, their poorly representative location designed for convenient operation. Fortunately, it has been shown that remote sensing data could be used to estimate near-surface air temperature (Ta) and other climatic conditions. This paper makes use of recorded meteorological data and MODIS data on land surface temperature (Ts) to estimate monthly mean air temperatures in the southeastern Tibetan Plateau and its neighboring areas. A total of 72 weather stations and 84 MODIS images for seven years (2001 to 2007) are used for analysis. Regression analysis and spatio-temporal analysis of monthly mean Ts vs. monthly mean Ta are carried out, showing that recorded Ta is closely related to MODIS Ts in the study region. The regression analysis of monthly mean Ts vs. Ta for every month of all stations shows that monthly mean Ts can be rather accurately used to estimate monthly mean Ta (R2 ranging from 0.62 to 0.90 and standard error between 2.25℃ and 3.23℃). Thirdly, the retrieved monthly mean Ta for the whole study area varies between 1.62℃ (in January, the coldest month) and 17.29℃ (in July, the warmest month), and for the warm season (May-September), it is from 13.1℃ to 17.29℃. Finally, the elevation of isotherms is higher in the central mountain ranges than in the outer margins; the 0℃ isotherm occurs at elevation of about 4500±500 m in October, dropping to 3500±500 m in January, and ascending back to 4500±500 m in May next year. This clearly shows that MODIS Ts data combining with observed data could be used to rather accurately estimate air temperature in mountain regions.

关 键 词:land  surface  temperature  MODIS  air  temperature  estimation  spatio-temporal  analysis  the  Heng-duan  Mountains  Tibetan  Plateau

MODIS-based air temperature estimation in the southeastern Tibetan Plateau and neighboring areas
Yonghui Yao,Baiping Zhang.MODIS-based air temperature estimation in the southeastern Tibetan Plateau and neighboring areas[J].Journal of Geographical Sciences,2012,22(1):152-166.
Authors:Yonghui Yao  Baiping Zhang
Institution:YAO Yonghui, *ZHANG Baiping State Key Laboratory of Resource and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101
Abstract:Climatic conditions are difficult to obtain in high mountain regions due to few meteorological stations and, if any, their poorly representative location designed for convenient operation. Fortunately, it has been shown that remote sensing data could be used to estimate near-surface air temperature (Ta) and other climatic conditions. This paper makes use of recorded meteorological data and MODIS data on land surface temperature (Ts) to estimate monthly mean air temperatures in the southeastern Tibetan Plateau and its neighboring areas. A total of 72 weather stations and 84 MODIS images for seven years (2001 to 2007) are used for analysis. Regression analysis and spatio-temporal analysis of monthly mean Ts vs. monthly mean Ta are carried out, showing that recorded Ta is closely related to MODIS Ts in the study region. The regression analysis of monthly mean Ts vs. Ta for every month of all stations shows that monthly mean Ts can be rather accurately used to estimate monthly mean Ta (R2 ranging from 0.62 to 0.90 and standard error between 2.25°C and 3.23°C). Thirdly, the retrieved monthly mean Ta for the whole study area varies between 1.62°C (in January, the coldest month) and 17.29 °C (in July, the warmest month), and for the warm season (May–September), it is from 13.1°C to 17.29°C. Finally, the elevation of isotherms is higher in the central mountain ranges than in the outer margins; the 0°C isotherm occurs at elevation of about 4500±500 m in October, dropping to 3500±500 m in January, and ascending back to 4500±500 m in May next year. This clearly shows that MODIS Ts data combining with observed data could be used to rather accurately estimate air temperature in mountain regions.
Keywords:land surface temperature  MODIS  air temperature estimation  spatio-temporal analysis  the Heng-duan Mountains  Tibetan Plateau
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