中文摘要：

用被动微波辐射计的陆地检索对在陆地亮度温度的小变化敏感。因此，无线电频率干扰(射频干扰) 发信号发出从人造微波放射传输器能在陆地检索导致大错误。在隧道能遥远地污染的 C 乐队和 X 乐队的射频干扰察觉到大小，经历了与扫描辐射计(AMSR-E ) 和 WindSat 传感器的先进微波。在这个工作，射频干扰察觉的应用程序和在从 AMSR-E 大小使用检索地球物理的参数的一间全面套房的修正算法，一个维的变化检索(1-DVAR ) 方法被描述。结果显示检索参数的值例如陆地皮肤温度(LST ) ，在射频干扰污染的这些区域上比从全球数据吸收系统(GDAS ) 的那些高得多产品。结果也显示新检索和 GDAS 产品之间的差别通过考虑 RFI 修正算法显然被减少。另外， 1-DVAR 的集中度量标准(2 ) 被发现是为识别陆地检索被射频干扰影响的区域的一个新方法。例如在有强壮得多的射频干扰的那些区域，例如欧洲和日本， < 啜 class= “ a-plus-plus ” > 1-DVAR 的 2 那么大集中不能被到达，检索结果不能是可靠的或不能被获得。而且， < 啜 class= “ a-plus-plus ” > 2 也与中等或弱的射频干扰为那些区域与改正射频干扰的算法减少。射频干扰的结果检测了由 < 啜 class= “ a-plus-plus ” > 2 与那些识别了由几乎一致光谱差别方法。

英文摘要：

Land retrievals using passive microwave radiometers are sensitive to small fluctuations in land brightness temperatures. As such, the radio-frequency interference （RFI） signals emanating from man-made microwave radiation transmitters can result in large errors in land retrievals. RFI in C-and X-band channels can con-taminate remotely sensed measurements, as experienced with the Advanced Microwave Scanning Radiometer （AMSR-E） and the WindSat sensor. In this work, applications of an RFI detection and correction algorithm in retrieving a comprehensive suite of geophysical parameters from AMSR-E measurements using the one-dimensional variational retrieval （1-DVAR） method are described. The results indicate that the values of retrieved parameters, such as land skin temperature （LST）, over these areas contaminated by RFI are much higher than those from the global data assimilation system （GDAS） products. The results also indicate that the differences between new retrievals and GDAS products are decreased evidently through taking into account the RFI correction algorithm. In addition, the convergence metric （χ2） of 1-DVAR is found to be a new method for identifying regions where land retrievals are affected by RFI. For example, in those regions with much stronger RFI, such as Europe and Japan, χ2 of 1-DVAR is so large that convergence cannot be reached and retrieval results may not be reliable or cannot be obtained. Furthermore,χ2 also decreases with the RFI-corrected algorithm for those regions with moderate or weak RFI. The results of RFI detected byχ2 are almost consistent with those identified by the spectral difference method.