Comparison and analysis of the interference identification methods for microwave measurements over snow land
Ying WU, Sulin JIANG, Zhenhui WANG
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/ Joint International Research Laboratory of Climate and Environment Change (ILCEC)/ Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China
The influence of radio-frequency interference (RFI) on spaceborne microwave radiometer measurements is increasingly prominent, which largely reduces the accuracy of geophysical parameter inversion from microwave observations. RFI over Antarctica land was detected and analyzed using spectral difference, normalized principal component analysis (NPCA) and double principal component analysis (DPCA) method based on AMSR-E (the advanced microwave scanning radiometer - earth observing system) Leval 2A measurements during July 1-7, 2011. It is found that, over snow or ice-covered land, the RFI signals are difficult to be detected by spectral difference method, while NPCA method works but for costal areas. However, the DPCA method works well over the Atlantic land. Furthermore. It is also found that stronger RFI signals are detected widely over the Antarctica land at low frequency channels of AMSR-E, and most of the strong RFI signals are collocated with research stations. In general, the RFI is stronger at horizontal polarization channels than those at vertical polarization channels, but in some parts, RFI signals at 10.65 GHz for vertical polarization are stronger than those for horizontal polarization.
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2018, Vol. 30 
