中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modeling of Day-to-Day Temporal Progression of Clear-Sky Land Surface Temperature

文献类型:SCI/SSCI论文

作者Wu H.
发表日期2013
关键词Day-to-day temporal progression (DDTP) diurnal temperature cycle (DTC) land surface temperature (LST) modeling diurnal cycles emissivity algorithm
英文摘要This letter presents a method to calculate the width omega over the half-period of the cosine term in a diurnal temperature cycle (DTC) model. omega deduced from the thermal diffusion equation (TDE) is compared with omega obtained from solar geometry. The results demonstrate that omega deduced from the TDE describes the shape of the DTC model more adequately around sunrise and the time of maximum temperature than omega obtained from solar geometry. Additionally, taking into account the physical continuity of land surface temperature (LST) variation, a day-to-day temporal progression (DDTP) model of LST is developed to model several days of DTCs. The results indicate that the DDTP model fits in situ [or Spinning Enhanced Visible and Infrared Imager (SEVIRI)] LST well with a root-mean-square error (RMSE) less than 1 K. Compared with the DTC model, the DDTP model slightly increases the quality of LST fits around sunrise. Assuming that only six LST measurements corresponding to the NOAA/AVHRR and MODIS overpass times for each day are available, several days of DTCs can be predicted by the DDTP model with an RMSE less than 1.5 K.
出处Ieee Geoscience and Remote Sensing Letters
10
5
1050-1054
收录类别SCI
语种英语
ISSN号1545-598X
源URL[http://ir.igsnrr.ac.cn/handle/311030/30590]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Wu H.. Modeling of Day-to-Day Temporal Progression of Clear-Sky Land Surface Temperature. 2013.

入库方式: OAI收割

来源:地理科学与资源研究所

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