An accurate estimate of monthly mean land surface temperatures from MODIS clear-sky retrievals
An accurate estimate of monthly mean land surface temperatures from MODIS clear-sky retrievals
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DOI：
10.1175/jhm-d-17-0009.1
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发表时间：
2017-10
影响因子：
3.8
通讯作者：
Xuelong Chen;Z. Su;Yaoming Ma;J. Cleverly;M. Liddell
中科院分区：
文献类型：
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作者：
Xuelong Chen;Z. Su;Yaoming Ma;J. Cleverly;M. Liddell
AbstractMODIS thermal sensors can provide us with global land surface temperature (LST) several times each day, but have difficulty in obtaining information from the land surface in cloudy situations. As a result, the monthly day or night LST products [Terra monthly day LST (TMD), Terra monthly night LST (TMN), Aqua monthly day LST (AMD), and Aqua monthly night LST (AMN)] are the average LST values calculated over a variable number of clear-sky days in a month. Is it possible to derive an accurate estimate of monthly mean LST based on averaging of the multidaily overpasses of MODIS sensors? In situ ground measurements and ERA-Interim reanalyses data, both of which provide continuous information in either clear or cloudy conditions, have been used to validate the approach. Using LST measurements from 156 ground flux towers, it was found that the three mean values , , and (mean biases of 0.19, 0.59, and 0.40 K, respectively) can all provide a reliable estimate of all-sky monthly mean LST. Of the three means...
