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Daytime Land Surface Temperature Extraction from MODIS Thermal Infrared Data under Cirrus Clouds

机译:卷云下MODIS热红外数据的白天地表温度提取

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Simulated data showed that cirrus clouds could lead to a maximum land surface temperature (LST) retrieval error of 11.0 K when using the generalized split-window (GSW) algorithm with a cirrus optical depth (COD) at 0.55 μm of 0.4 and in nadir view. A correction term in the COD linear function was added to the GSW algorithm to extend the GSW algorithm to cirrus cloudy conditions. The COD was acquired by a look up table of the isolated cirrus bidirectional reflectance at 0.55 μm. Additionally, the slope k of the linear function was expressed as a multiple linear model of the top of the atmospheric brightness temperatures of MODIS channels 31–34 and as the difference between split-window channel emissivities. The simulated data showed that the LST error could be reduced from 11.0 to 2.2 K. The sensitivity analysis indicated that the total errors from all the uncertainties of input parameters, extension algorithm accuracy, and GSW algorithm accuracy were less than 2.5 K in nadir view. Finally, the Great Lakes surface water temperatures measured by buoys showed that the retrieval accuracy of the GSW algorithm was improved by at least 1.5 K using the proposed extension algorithm for cirrus skies.
机译:模拟数据显示,当使用广义分裂窗口(GSW)算法在0.55μm的卷积光学深度(COD)为0.4且处于天底视图时,卷​​云可能导致最大地面温度(LST)检索误差为11.0K。 。将COD线性函数中的校正项添加到GSW算法中,以将GSW算法扩展到卷云多云条件。通过查找孤立的卷云双向反射率在0.55μm处的查找表获得了COD。此外,线性函数的斜率k表示为MODIS通道31–34的大气亮度顶部温度的多重线性模型,以及表示为拆分窗口通道发射率之间的差异。仿真数据表明,LST误差可以从11.0降低到2.2K。灵敏度分析表明,从最低点来看,输入参数,扩展算法精度和GSW算法精度的所有不确定性所导致的总误差小于2.5K。最后,通过浮标测量的五大湖地表水温度表明,使用提议的卷云扩展算法,GSW算法的检索精度至少提高了1.5K。

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