A Method to Suppress the Precipitation Interference on Horizontal Wind of Wind Profile Radar

Lin Xiaomeng; He Ping; Huang Xingyou

doi:10.11898/1001-7313.20150107

Vol.26, NO.1, 2015

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Lin Xiaomeng, He Ping, Huang Xingyou. A method to suppress the precipitation interference on horizontal wind of wind profile radar. J Appl Meteor Sci, 2015, 26(1): 66-75. DOI: 10.11898/1001-7313.20150107.

Citation:

Lin Xiaomeng, He Ping, Huang Xingyou. A method to suppress the precipitation interference on horizontal wind of wind profile radar. J Appl Meteor Sci, 2015, 26(1): 66-75. DOI: 10.11898/1001-7313.20150107.

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A Method to Suppress the Precipitation Interference on Horizontal Wind of Wind Profile Radar

DOI: 10.11898/1001-7313.20150107

Lin Xiaomeng^1,2,3,
He Ping^{2
,
,},
Huang Xingyou^1,3

1.
Key Laboratory for Aerosol-Cloud-Precipitation of CMA, Nanjing 210044
2.
Meteorological Observation Center of CMA, Beijing 100081
3.
Nanjing University of Information Science & Technology, Nanjing 210044

Received Date: 2014-05-12
Rev Recd Date: 2014-10-08
Publish Date: 2015-01-31

Abstract

Abstract

Wind profile radar (WPR) is a kind of clear air radar, which takes atmospheric turbulence as the main detecting object. In the past few decades, WPR spectral data processing mainly focus on the wind spectrum estimation. In recent years, with the use of WPR data expansion, there are increasingly high demands for WPR data accuracy. However, ground clutter, external noise, flying objects, presence of disturbances such as precipitation and limitations of Fourier Transform often lead multiple peaks overlapping phenomenon, which makes it difficult to judge spectral moments, resulting in large error detection products. Especially in the case of precipitation, wind speed measurement may be even completely wrong. Therefore, the radar power spectrum data need further processing under different weather conditions especially for turbulence and precipitation to establish an effective spectral extraction programs and enhance the wind profile accuracy of radar detection.WPR has a large dynamic reception range, so it can receive the echo of scattering of atmosphere turbulence and scattering of precipitation particles simultaneously during precipitation. In this case, spectrum of atmosphere turbulence and spectrum of precipitation are superimposed. It requires uniform wind-field on horizon when calculating the horizontal wind, but the spatial variability of precipitation will bring distorted horizontal wind-field if the superimposed spectrum data. To avoid this problem, the radar power spectrum data are processed with three steps. First, the original radar power spectrum is processed by interpolation and moving average, judging whether it is affected by precipitation according to the number of maximum points. Second, in the case that the radar power spectrum is affected by precipitation, spectrums of atmosphere turbulence and precipitation are separated by two methods in accordance with spectrum of atmosphere turbulence and spectrum of precipitation's tending to symmetry. And then the horizontal wind-field is derived utilizing the separated spectrum of atmosphere turbulence. Case analysis shows that the consistency of derived wind-field has significant improvement using the spectrum of atmosphere turbulence instead of the original spectrum.
- WPR;
- spectrum;
- horizontal wind data

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References(17)

Figures and Tables

Fig. 1 The radar power spectrum of vertical beam on 3 heights during a precipitation process of 1901 BT 15 June 2013 at Zhanjiang Station in Guangdong

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Fig. 2 Schematic diagram of WPR's 5 beams

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Fig. 3 Schematic of spectrum identified as one peak (a) and double peaks (b)

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Fig. 4 Separation of symmetry treatment (a) and subtraction treatment (b)

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Fig. 5 Spectrum of atmosphere turbulence separated from original spectrum on different height

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Fig. 6 Flow chart of spectrum identification and separation

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Fig. 7 Spectral width of precipitation during 1700-2100 BT on 15 June 2013(a) and from 2100 BT 27 July to 0100 BT 28 July in 2013(b) at Zhanjiang Station of Guangdong

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Fig. 8 Spectral distribution with height at 1901 BT on 15 June 2013(a) and 2302 BT on 27 July 2013(b) of WPR at Zhanjiang Station of Guangdong

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Fig. 9 Wind feathers before the treatment (a) and after the treatment (b) during 1808-2020 BT on 15 June 2013 at Zhanjiang Station of Guangdong

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Fig. 10 Wind feathers before the treatment (a) and after the treatment (b) during 2214-2359 BT on 27 July 2013 at Zhanjiang Station of Guangdong

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Table 1 WPR parameters at Zhanjiang Station of Guangdong

参数	取值
采样频率/MHz	60
发射波长/mm	674
脉冲重复频率/Hz	20000
起始采样库的距离高度/m	150
终止采样库的距离高度/m	3630
探测模式	低
距离库长/m	120
发射功率/kW	7.7
相干累积	200
FFT点数	256
谱平均数	5

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