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Cross-calibration of brightness temperature obtained by FY-3B/MWRI using Aqua/AMSR-E data for snow depth retrieval in the Arctic
Acta Oceanologica Sinica ( IF 1.4 ) Pub Date : 2021-03-17 , DOI: 10.1007/s13131-021-1717-2
Haihua Chen , Lele Li , Lei Guan

This study cross-calibrated the brightness temperatures observed in the Arctic by using the FY-3B/MWRI L1 and the Aqua/AMSR-E L2A. The monthly parameters of the cross-calibration were determined and evaluated using robust linear regression. The snow depth in case of seasonal ice was calculated by using parameters of the cross-calibration of data from the MWRI Tb. The correlation coefficients of the H/V polarization among all channels Tb of the two sensors were higher than 0.97. The parameters of the monthly cross-calibration were useful for the snow depth retrieval using the MWRI. Data from the MWRI Tb were cross-calibrated to the AMSR-E baseline. Biases in the data of the two sensors were optimized to approximately 0 K through the cross-calibration, the standard deviations decreased significantly in the range of 1.32 K to 2.57 K, and the correlation coefficients were as high as 99%. An analysis of the statistical distributions of the histograms before and after cross-calibration indicated that the FY-3B/MWRI Tb data had been well calibrated. Furthermore, the results of the cross-calibration were evaluated by data on the daily average Tb at 18.7 GHz, 23.8 GHz, and 36.5 GHz (V polarization), and at 89 GHz (H/V polarization), and were applied to the snow depths retrieval in the Arctic. The parameters of monthly cross-calibration were found to be effective in terms of correcting the daily average The results of the snow depths were compared with those of the calibrated MWRI and AMSR-E products. Biases of 0.18 cm to 0.38 cm were observed in the monthly snow depths, with the standard deviations ranging from 4.19 cm to 4.80 cm.



中文翻译:

由FY-3B / MWRI使用Aqua / AMSR-E数据对北极雪深进行反演获得的亮度温度的交叉校准

这项研究使用FY-3B / MWRI L1和​​Aqua / AMSR-E L2A对在北极观测到的亮度温度进行了交叉校准。使用稳健的线性回归确定并评估交叉校准的每月参数。通过使用来自MWRI T b的数据的交叉校准参数,计算出季节性冰雪厚度。两个传感器的所有通道T b之间的H / V极化的相关系数均高于0.97。每月交叉校准的参数对于使用MWRI进行积雪深度检索非常有用。MWRI T b的数据被交叉校准到AMSR-E基线。通过交叉校准,将两个传感器的数据中的偏差优化为大约0 K,标准偏差在1.32 K至2.57 K的范围内显着降低,并且相关系数高达99%。交叉校准前后的直方图统计分布分析表明,FY-3B / MWRI T b数据已得到很好的校准。此外,通过日平均T b上的数据对交叉校准的结果进行了评估。分别在18.7 GHz,23.8 GHz和36.5 GHz(V极化)和89 GHz(H / V极化)下应用到北极的降雪深度中。发现每月的交叉校准参数在校正日平均值方面是有效的。将雪深的结果与校准后的MWRI和AMSR-E产品的结果进行了比较。在每月降雪深度中观察到偏差为0.18 cm至0.38 cm,标准偏差为4.19 cm至4.80 cm。

更新日期:2021-03-17
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