Plateau Meteorology

Plateau Meteorology >

2018 , Vol. 37 >Issue 4: 1033 - 1041

DOI: https://doi.org/10.7522/j.issn.1000-0534.2017.00084

Method Study on Identification of Radio-Frequency Interference Signal from Airborne Microwave Radiometer

  • WANG Wan ,
  • LEI Hengchi ,
  • WANG Zhaoyu ,
  • GUO Xiaojun ,
  • NIE Haohao
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  • TianJin Weather Modification Office, TianJin 300074, China;Key Laboratory for Cloud Physics of China Meteorological Administration, Beijing 100081, China;Key Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

Received date: 2017-07-06

  Online published: 2018-08-28

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Abstract

Radio-frequency interference (RFI) signals were found in the brightness temperature datas of G-band water Vapor Radiometer (GVR). It is necessary to identify and correct the interference datas for better use. Based on the analysis of the applicability of various RFI identification methods of GVR data, the RFI recognition and correction method for GVR was proposed according to the principle of GVR detection and calibration. This method is used to identify the RFI from GVR brightness temperature datas on November 20, 2016 and the results show that:(1)The method works well for identifying the RFI from the brightness temperature datas of GVR different channels; (2) RFI signals exist in multiple channels and have no regular distribution in spatial and temporal that brings great difficulties to determine the source of RFI; (3) In addition to a few signals exist in the form of isolated points, majority of RFI signals in the brightness temperature datas exist in the form of continuity points. The more the continuity interference points are, the worse the correction results are. The datas are recommended to be eliminated when there are many continuity interference points. The retrival results analysis of before and after correction of RFI from GVR datas show that most of the PWV (Precipitable Water Vapor) and LWP (Liquid Water Path) values are overestimated because of the RFI and the correction of individual channels, which has different effects on the retrival results.

Key words： GVR; radio-frequency inte; identification

Cite this article

WANG Wan , LEI Hengchi , WANG Zhaoyu , GUO Xiaojun , NIE Haohao . Method Study on Identification of Radio-Frequency Interference Signal from Airborne Microwave Radiometer[J]. Plateau Meteorology, 2018 , 37(4) : 1033 -1041 . DOI: 10.7522/j.issn.1000-0534.2017.00084

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