Quality Control and Analysis of in Situ Soil Moisture Data in Yunnan

Lan Ying; Zheng Youfei; Duan Changchun; Yin Jifu; Wu Rongjun; Huang Tunan

doi:10.11898/1001-7313.20160211

Vol.27, NO.2, 2016

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Lan Ying, Zheng Youfei, Duan Changchun, et al. Quality control and analysis of in situ soil moisture data in Yunnan. J Appl Meteor Sci, 2016, 27(2): 230-238. DOI: 10.11898/1001-7313.20160211.

Citation:

Lan Ying, Zheng Youfei, Duan Changchun, et al. Quality control and analysis of in situ soil moisture data in Yunnan. J Appl Meteor Sci, 2016, 27(2): 230-238. DOI: 10.11898/1001-7313.20160211.

Lan Ying, Zheng Youfei, Duan Changchun, et al. Quality control and analysis of in situ soil moisture data in Yunnan. J Appl Meteor Sci, 2016, 27(2): 230-238. DOI: 10.11898/1001-7313.20160211.

Citation:

Lan Ying, Zheng Youfei, Duan Changchun, et al. Quality control and analysis of in situ soil moisture data in Yunnan. J Appl Meteor Sci, 2016, 27(2): 230-238. DOI: 10.11898/1001-7313.20160211.

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Quality Control and Analysis of in Situ Soil Moisture Data in Yunnan

DOI: 10.11898/1001-7313.20160211

1.
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044
2.
Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044
3.
Yunnan Institute of Meteorological Science, Kunming 650034

Received Date: 2015-05-16
Rev Recd Date: 2015-11-27
Publish Date: 2016-03-31

Abstract

Abstract

Soil moisture is a variable that plays a crucial role in the energy and mass exchange between the atmosphere and land, and it is often used as an environment factor and process parameter in meteorology researches. However, due to the diversity of climatological conditions and differences in measurement setup, the quality of the soil moisture measurement is highly variable, which may have a significant impact on the data accuracy. Therefore, appropriate quality characterization is desired.Based on soil moisture data of 37 stations of Yunnan in 2010-2014, the spectrum-based approaches are used to eliminate 3 kinds of abnormal data. The constant, spike and noisy, caused by saturation of the signal and unresponsive sensors, are screened out by procedures analysis on the time series. The data integrality is shown not good, especially at some stations in the northwest of Yunnan Province, where the instruments are newly set up. After the first instability period, the data quality gradually improves. Among all abnormal values, the proportion of constant is up to 97% in all stations. The distribution of stations containing more spike shows less distinct pattern.Compared to the related meteorological data, different soil types show different responses to the precipitation. Sandy soil shows quicker reaction to the precipitation, and the change of soil moisture is more significant as well. As the rainfall intensity increases, the rise of the moisture increases too. Loam soil shows continuous rise in the few hours after the rainfall, but the variation is rather weaker, and the deeper soil moisture changes relatively smoothly. Clayey soil has a weak relationship with precipitation, and the soil moisture descends more quickly in the deeper layer than other soil type. It's found that the rainfall intensity and the soil moisture rise are not simply positively correlated, the soil moisture rises less after downpour, and these responses need further research.
- Yunnan Province;
- automatic meteorological station;
- in situ soil moisture;
- quality control

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References(30)

Figures and Tables

Fig. 1 Distribution of automatic soil moisture sites in Yunnan

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Fig. 2 Examples of automated soil moisture containing constant (a), noisy (b) and spike (c) in Yunnan

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Fig. 3 Amount of spike (a) and constant (b) data at automatic meteorological stations in Yunnan during 2010—2014

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Fig. 4 Distribution of stations of sand soil, loam soil and clayey soil in Yunnan

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Fig. 5 Response of soil moisture change to rainfall intensity in sand soil 0 h (a), 1 h (b), 2 h (c), 3 h (d) after the rain in Yunnan

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Fig. 6 Response of soil moisture change to rainfall intensity in loam soil 0 h (a), 1 h (b), 2 h (c), 3 h (d) after the rain in Yunnan

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Fig. 7 Response of soil moisture change to rainfall intensity in clayey soil 0 h (a), 1 h (b), 2 h (c), 3 h (d) after the rain in Yunnan

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Table 1 Ratio of missing, abnormal and valid data of automatic meteorological stations in Yunnan during 2010—2014

区站号	缺测值/%	异常值/%	有效值/%
56586	3	23	43
56649	23	6	71
56651	37	23	40
56654	46	14	40
56697	20	34	47
56739	58	11	32
56748	55	5	40
56751	39	17	43
56752	1	74	24
56757	16	7	77
56763	24	15	62
56768	19	19	62
56775	17	26	57
56778	24	44	32
56785	25	29	46
56788	13	24	63
56835	11	24	66
56836	48	5	47
56841	65	8	28
56842	1	36	63
56843	14	12	74
56844	24	18	58
56856	23	22	55
56875	11	29	61
56880	2	27	71
56881	0	44	56
56883	46	6	48
56889	39	20	41
56946	42	11	48
56951	39	25	36
56959	24	25	51
56964	32	5	63
56966	44	14	41
56977	47	3	50
56985	0	66	34
56994	30	26	44
59205	56	16	28

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