Two retrieval algorithms developed as a part of the European Space Agency Climate Change Initiative (ESA-CCI) project are used to assess the effects of withholding observations from selected frequency channels on the retrieved subskin Sea Surface Temperature (SST) from AQUA's Advanced Microwave Scanning Radiometer—Earth Observing System (AMSR-E) and to evaluate a Copernicus Imaging Microwave Radiometer (CIMR) like channel configuration.

The first algorithm is a statistical regression-based retrieval algorithm, while the second is a physically based optimal estimation (OE) algorithm. A database with matching satellite and drifting buoy observations is used to test the performance of each channel configuration using both retrieval algorithms to identify the most optimal channel selection for accurate SST retrievals. The evaluation against in situ observations allows identification of the strengths and weaknesses of the two retrieval algorithms, and demonstrates the importance of using in situ observations to evaluate existing theoretical retrieval uncertainty studies. Overall, the performance increases as expected when more channels are included in the retrieval. In particular, more channels allow a better performance for the range of different observing conditions (e.g. cold waters). The two retrieval algorithms agree that for a three-channel configuration, the 6, 10, 18 GHz (V and H polarization) is better than the 6, 10, 23 GHz configuration (V and H polarization). This is demonstrated for different geographical regions and throughout all seasons. Of the different combinations tested here, it is evident that withholding observations from the 23 and 36 GHz channels from the retrieval has the least impact on the SST performance. Overall, this analysis shows that the CIMR like channel configuration performs very well when compared to an AMSR-E like constellation using both retrieval algorithms.

作为欧洲航天局气候变化倡议（ESA-CCI）项目的一部分，开发了两种检索算法，用于评估从选定频道进行的隐瞒观测对从AQUA先进微波扫描辐射计检索到的皮下海面温度（SST）的影响。 -地球观测系统（AMSR-E）并评估类似通道配置的哥白尼成像微波辐射计（CIMR）。

第一种算法是基于统计回归的检索算法，而第二种算法是基于物理的最佳估计（OE）算法。使用具有匹配卫星和漂流浮标观测值的数据库，使用两种检索算法来测试每种通道配置的性能，以识别最准确的通道选择，以进行准确的SST检索。针对原位观测的评估可以识别这两种反演算法的优缺点，并证明了使用原位观测评估现有理论反演不确定性研究的重要性。总体而言，当检索中包含更多通道时，性能将按预期提高。特别是，更多的频道可以在不同的观察条件范围内提供更好的性能（例如 冷水）。两种检索算法均同意，对于三通道配置，6、10、18 GHz（V和H极化）要好于6、10、23 GHz配置（V和H极化）。这在不同的地理区域以及整个季节都得到了证明。在这里测试的不同组合中，很明显的是，从23和36 GHz信道中提取的保留观测值对SST性能的影响最小。总体而言，该分析表明，与使用两种检索算法的AMSR-E类星座相比，CIMR类信道配置的性能非常好。这在不同的地理区域以及整个季节都得到了证明。在这里测试的不同组合中，很明显的是，从23和36 GHz信道中提取的保留观测值对SST性能的影响最小。总体而言，该分析表明，与使用两种检索算法的AMSR-E类星座相比，CIMR类信道配置的性能非常好。这在不同的地理区域以及整个季节都得到了证明。在这里测试的不同组合中，很明显的是，从23和36 GHz信道中提取的保留观测值对SST性能的影响最小。总体而言，该分析表明，与使用两种检索算法的AMSR-E类星座相比，CIMR类信道配置的性能非常好。