The Quality Control Method of Erroneous Radar Echo Data Generated by Hardware Fault

Zhao Ruijin; Liu Liping; Zhang Jin

doi:10.11898/1001-7313.20150507

Vol.26, NO.5, 2015

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Zhao Ruijin, Liu Liping, Zhang Jin. The quality control method of erroneous radar echo data generated by hardware fault. J Appl Meteor Sci, 2015, 26(5): 578-589. DOI: 10.11898/1001-7313.20150507.

Citation:

Zhao Ruijin, Liu Liping, Zhang Jin. The quality control method of erroneous radar echo data generated by hardware fault. J Appl Meteor Sci, 2015, 26(5): 578-589. DOI: 10.11898/1001-7313.20150507.

Zhao Ruijin, Liu Liping, Zhang Jin. The quality control method of erroneous radar echo data generated by hardware fault. J Appl Meteor Sci, 2015, 26(5): 578-589. DOI: 10.11898/1001-7313.20150507.

Citation:

Zhao Ruijin, Liu Liping, Zhang Jin. The quality control method of erroneous radar echo data generated by hardware fault. J Appl Meteor Sci, 2015, 26(5): 578-589. DOI: 10.11898/1001-7313.20150507.

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The Quality Control Method of Erroneous Radar Echo Data Generated by Hardware Fault

DOI: 10.11898/1001-7313.20150507

Zhao Ruijin^{1,2
,
,},
Liu Liping¹,
Zhang Jin²

1.
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081
2.
Hebei Provincial Meteorological Information Center, Shijiazhuang 050021

Received Date: 2014-10-09
Rev Recd Date: 2015-05-15
Publish Date: 2015-09-30

Abstract

Abstract

Radar hardware fault affects data quality directly. Erroneous data not only affect local forecaster analyzing weather, but also have serious influence on the running of national operation system. So far, study on radar data quality control mainly aims at non-meteorological echoes, such as ground clutter, sea clutter, electromagnetic interference and so on. There isn't enough effective quality control method for erroneous data generated by hardware fault. Through analysis on the integrity of base data, position information and characteristic of hardware fault echoes, the correlation between erroneous data and fault category, and effects of different fault on data and echoes are studied. A quality control method is provided.Erroneous data generated by radar hardware fault affect integrity of base data, position and intensity information of echoes. There is some difference among different type hardware fault or part of radar. Transmitter and receiver system fault mainly affect the intensity information. Servo system fault mainly affect position information and the integrity of date. Through checking base data integrity and echoes position information, fault data generated by servo system can be identified.The radar intensity information affect image feature such as shape, range and intensity. The error intensity information data generated by radar hardware fault can be controlled through fuzzy-logical principle, and identified through comparing parameters such as radar echoes area, mean absolute difference of intensity, the degree of intensity change, and image correlation coefficient with neighboring normal data. There is some difference between different parts of radar or different kinds of hardware fault. It is impossible to identify all erroneous data only by one method. In the actual work, it is necessary to combine status and alarm information, and apply multiple means to check radar data step by step. Only in this way, erroneous data generated by hardware fault can be effectively and comprehensively controlled.A test on erroneous data generated by hardware fault of Shijiazhuang radar site from 2004 to 2013 is carried out, and the identification ratio is above 90%. It is supplement for the existing quality control methods which mainly aim at non-meteorological echoes when radar operate normally. The proposed algorithm is mainly based on the intensity and position information, and the quality control method on velocity and spectral width error generated by hardware fault should be further studied.
- radar hardware fault;
- data quality control;
- fuzzy-logical principle

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References(20)

Figures and Tables

Fig. 1 Cases of radar echoes position, range and intensity change

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Fig. 2 Echo shape change

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Fig. 3 Probability distribution of , r for normal radar data

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Fig. 4 Probability distribution of , r for erroneous radar data

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Fig. 5 Membership functions of each identification index

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Fig. 6 Reflectivity of Shijiazhuang radar site at 044200 UTC 6 Apr 2013

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Fig. 7 Cake shape echo of Shijiazhuang radar site on 20 Apr 2011

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Table 1 Silk shape echo position data at 044200 UTC 6 Apr 2013

时间	方位/(°)	仰角/(°)
04:42:03.360	24.74	0.53
04:42:03.883	6.37	0.53
04:42:03.969	354.59	0.53
04:42:04.405	25.97	0.53

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Table 2 Correlation parameters of echo position change on 22 Jul 2005

时间	ΔS(≥5 dBZ)	Z_MAD/dBZ	S_PIN(≥5 dBZ)	r
21T23:27—23:33	654	3.042349	0.149239	0.882581
21T23:33—23:39	1208	3.158146	0.153502	0.873645
21T23:39—22T00:45	752	3.307222	0.158321	0.858955
21T23:45—23:51	421	3.088678	0.146292	0.865209
21T23:51—23:58	918	3.061588	0.146884	0.865149
21T23:58—22T00:05	381	2.985229	0.143617	0.869761
22T00:05—00:11	704	2.828364	0.132409	0.873409
22T00:11—00:17	800	2.843678	0.132210	0.869391
22T00:17—00:23	551	2.541492	0.116812	0.886527
22T00:23—00:29	862	2.662729	0.120996	0.876078
22T00:29—00:49	543	9.305441	0.353400	0.344445
22T00:49—00:55	434	2.558339	0.117548	0.886113

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Table 3 The correlation parameter of image features of adjacent radar data of Shijiazhuang radar site from 1006 UTC to 1042 UTC on 20 Apr 2011

时间	ΔS(≥5 dBZ)	Z_MAD/dBZ	S_PIN(≥5 dBZ)	r
10:00—10:06	619	0.082349	1.315326	0.820525
10:06—10:12	238	0.081335	1.299354	0.826941
10:12—10:18	490	0.081691	1.315719	0.827493
10:18—10:24	7495	0.234046	13.341818	0.129576
10:24—10:30	7198	0.234970	13.308351	0.144123
10:30—10:36	625	0.078279	1.259607	0.841661
10:36—10:42	650	0.082204	1.326002	0.823098

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Table 4 Intensity change from 1018 UTC to 1030 UTC on 20 Apr 2011

时间	方位角/(°)	仰角/(°)	51~60 km距离库回波强度/dBZ
时间	方位角/(°)	仰角/(°)	51 km	52 km	53 km	54 km	55 km	56 km	57 km	58 km	59 km	60 km
	180.88		-2.0	1.0	-0.5	5.5	12.5	2.0	3.0	2.0	1.0	-1.5
10:18	181.85	0.53	1.5	4.5	8.5	7.5	9.0	6.0	5.5	2.5	0.0	-0.5
	182.81		1.0	0.5	-0.5	6.0	8.0	11.5	8.0	-2.0	2.5	4.5
	180.83		61.0	59.0	60.5	73.5	64.5	61.0	68.5	71.0	71.0	88.0
10:24	181.85	0.57	59.0	70.0	68.5	72.0	71.5	63.0	63.5	55.0	74.5	74.5
	182.81		54.0	67.5	62.5	60.0	68.0	87.5	87.5	67.0	88.0	88.0
	180.75		10.5	11	4.5	5.0	0.5	10.5	2.5	8.0	5.0	1.0
10:30	181.67	0.57	5.5	4	3.5	2.0	1.5	4.0	4.0	-1.5	3.5	4.0
	182.64		3.5	7.5	-1.0	2.0	7.0	3.5	0.5	1.5	3.5	6.5

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Table 5 Iidentification result of erroneous radar data (identification threshhold P≥0.6)

错误数据类型	回波形态	数据量	识别	识别率/%
强度异常	饼图，大范围噪点	28	22	78.57
	V型缺口，扇状回波	428	394	92.06
	强度异常增强或减弱	37	27	72.97
	环状	1	1	100
方位角/仰角异常	回波整体方位改变	1	1	100
	丝状回波	29	29	100
	范围异常	2	2	100
异常数据总体识别情况		526	476	90.49

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