A reprocessing for climate of sea surface temperature from the along-track scanning radiometers: A new retrieval scheme

A reprocessing for climate of sea surface temperature from the along-track scanning radiometers: A new retrieval scheme
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沿轨扫描辐射计对海面温度气候的再处理:一种新的反演方案

DOI:
10.1016/j.rse.2010.11.020
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发表时间:
2012
影响因子:
13.5
通讯作者:
Embury O
Embury O
中科院分区:
工程技术1区
文献类型:
--
作者:
Embury O

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提出了一种利用沿着迹扫描辐射计(ATSR)反演海表温度(SST)的方法。新的系数是由总柱水汽(TCWV),从数值天气预报分析。TCWV条带将模拟的区域检索偏差降低到<0.1K,而全局系数的偏差约为0.2K。此外,仪器观察几何的详细处理将模拟视角相关偏差从~0.1K降低到<0.005K,用于使用11和12μm通道的双视图检索。一种新的权衡分析相关的假设噪声水平定义系数时进行,我们得出结论,增加一个小的标称噪声水平(0.01K)是最佳的我们的目的。当应用于ATSR观测时,一些算法间偏差表现为从不同通道组合估计的SST中与TCWV相关的差异。系数确定的最后一步是调整每个TCWV频带中的偏移系数,以匹配参考算法的结果。该参考文献使用3.7和11μm的双视图观测。调整是独立的原位测量,保持独立的检索。参考的选择部分是由高级ATSR的12μm校准的不确定性所驱动的。最后,我们模拟了新的反演的敏感性,以TCWV的变化和真正的SST的变化,确认双视图SST是最合适的气候应用。
We present a new coefficient-based retrieval scheme for estimation of sea surface temperature (SST) from the Along Track Scanning Radiometer (ATSR) instruments. The new coefficients are banded by total column water vapour (TCWV), obtained from numerical weather prediction analyses. TCWV banding reduces simulated regional retrieval biases to <0.1K compared to biases ~0.2K for global coefficients. Further, detailed treatment of the instrumental viewing geometry reduces simulated view-angle related biases from ~0.1K down to <0.005K for dual-view retrievals using channels at 11 and 12μm. A novel analysis of trade-offs related to the assumed noise level when defining coefficients is undertaken, and we conclude that adding a small nominal level of noise (0.01K) is optimal for our purposes. When applied to ATSR observations, some inter-algorithm biases appear as TCWV-related differences in SSTs estimated from different channel combinations. The final step in coefficient determination is to adjust the offset coefficient in each TCWV band to match results from a reference algorithm. This reference uses the dual-view observations of 3.7 and 11μm. The adjustment is independent of in situ measurements, preserving independence of the retrievals. The choice of reference is partly motivated by uncertainty in the calibration of the 12μm of Advanced ATSR. Lastly, we model the sensitivities of the new retrievals to changes to TCWV and changes in true SST, confirming that dual-view SSTs are most appropriate for climatological applications.
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