Variation Features of Atmospheric Precipitable Water Vapor Derived from Groud-based GPS in Beijing

Liu Dian; Liu Xiaoyang

Vol.20, NO.3, 2009

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2009 > 20(3): 346-353

Liu Dian, Liu Xiaoyang. Variation features of atmospheric precipitable water vapor derived from groud-based GPS in Beijing. J Appl Meteor Sci, 2009, 20(3): 346-353.

Citation:

Liu Dian, Liu Xiaoyang. Variation features of atmospheric precipitable water vapor derived from groud-based GPS in Beijing. J Appl Meteor Sci, 2009, 20(3): 346-353.

Liu Dian, Liu Xiaoyang. Variation features of atmospheric precipitable water vapor derived from groud-based GPS in Beijing. J Appl Meteor Sci, 2009, 20(3): 346-353.

Citation:

Liu Dian, Liu Xiaoyang. Variation features of atmospheric precipitable water vapor derived from groud-based GPS in Beijing. J Appl Meteor Sci, 2009, 20(3): 346-353.

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Variation Features of Atmospheric Precipitable Water Vapor Derived from Groud-based GPS in Beijing

Liu Dian^1,2,
Liu Xiaoyang¹

1.
Department of Atmospheric Science, School of Physics, Peking University, Beij ing 100871
2.
Public Weather Service Center, China Meteorological Administration, Beijing 100081

Received Date: 2008-06-20
Rev Recd Date: 2009-02-04
Publish Date: 2009-06-30

Abstract

Abstract

Diurnal variations in pheric precipitable water atmospheric water vapor are studied (PW) for 2004--2007 derived from by analyzing 30 min averaged data of atmos Global Positioning System (GPS) observa tions at Peking university station (SA34). Comparing PW derived from GPS with that observed by radiosonde, the result shows that the root mean square error (RMSE) is less than 3 mm. On monthly mean, the curve of diurnal variations of PW is acquired, and composite diurnal variation of GPS PW, specific humidity, precipitation, temperature and wind vector are analyzed. The PW show a clear diurnal cyrcle with amplitude of about 3 mm in summer. A typical feature of the diurnal in Beijing is that the minimum value appears in the morning, and the maximum value appears in the midnight. There is some relations between the time of the maximum of PW and precipitation. The result of the wavelet analysis indicates that there is a 12-day cycle in most of the year. Precipitation occurs when the following two conditions are met. The instant PW is larger than the average PW of the past 12 days, and the other is the increment of PW in the last 16 hours is larger than the threshold. In summer, the most precipitation appears when the values of the minus value are high. Taking the above two conditions as the judging conditions, it could be prevented that the miscarriage of justice to precipitation when either the PW is high or the increment of the PW in 16-hour is larger than the threshold.
- ground-based GPS;
- precipitable water vapor;
- wind vector;
- the iudgement of precipitation

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References(20)

Figures and Tables

图 1 2004年（a) 和2005年（b) GPS与探空大气水汽总量对比散点图

Fig. 1 Scatterplots of PW derived from GPS and radiosondes for 2004(a) and 2005(b)

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图 2 2004—2007年7, 8月北京地区平均大气水汽总量日变化

Fig. 2 Mean diurnal variation of PW in July and August from 2004 to 2007 in Beijing

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图 3 北京2006年7，8月的大气水汽总量、小时降水量、地面比湿和地面气温日变化对比图

Fig. 3 Diurnal variations of PW, hourly precipitation, surface specific humidity and surface temperature in July and August 2006 of Beijing

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图 4 北京地区2006年7, 8月大气水汽总量和风矢量的日变化对比

Fig. 4 Diurnal variation of PW and wind vector in July and August 2006 of Beijing

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图 5 2004年北京地区大气水汽总量Morlet小波分析

(a) Morlet小波功率谱, （b）全局小波功率谱

Fig. 5 The Morlet wavelet analysis of PW for 2004 in Beijing

(a) Morlet wavelet power spectrum, (b) global wavelet spectrum

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图 6 2007年北京地IK大气水汽总fi Morlet小波分析

(a) Morlet小波功率谱, (b) 全局小波功率谱

Fig. 6 The Morlet wavelet analysis of PW for 2007 in Beijing

(a) Morlet wavelet power spectrum, (b) global wavelet spectrum

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图 7 北京地区2004—2007年月平均大气水汽总量

Fig. 7 Monthly mean PW from 2004 to 2007 in Beijing

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图 8 2004年7月北京地区大气水汽总量变化与小时降水量的对应曲线

Fig. 8 Graph of PW variation and hourly precipitation for July 2004 in Beijing

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