The International Radiosonde Intercomparison Result for China-made GPS Radiosonde

Li Wei; Zhao Peitao; Guo Qiyun; Wang Mian

Vol.22, NO.4, 2011

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2011 > 22(4): 453-462

Li Wei, Zhao Peitao, Guo Qiyun, et al. The international radiosonde intercomparison result for China-made GPS radiosonde. J Appl Meteor Sci, 2011, 22(4): 453-462.

Citation:

Li Wei, Zhao Peitao, Guo Qiyun, et al. The international radiosonde intercomparison result for China-made GPS radiosonde. J Appl Meteor Sci, 2011, 22(4): 453-462.

Li Wei, Zhao Peitao, Guo Qiyun, et al. The international radiosonde intercomparison result for China-made GPS radiosonde. J Appl Meteor Sci, 2011, 22(4): 453-462.

Citation:

Li Wei, Zhao Peitao, Guo Qiyun, et al. The international radiosonde intercomparison result for China-made GPS radiosonde. J Appl Meteor Sci, 2011, 22(4): 453-462.

PDF( 2326 KB)

The International Radiosonde Intercomparison Result for China-made GPS Radiosonde

Meteorological Observation Center of CMA, Beijing 100081

Received Date: 2010-10-22
Rev Recd Date: 2011-04-27
Publish Date: 2011-08-31

Abstract

Abstract

Based on total 29 groups observation data of the 8th WMO International Radionsonde System Intercomparison, using the same balloon releasing method and mainly choosing Vaisala radiosonde measurements as relative reference standard, the systematic evaluation for Changfeng China-made GPS radiosonde system and Huayun China-made GPS radiosonde system is carried out including typical examples analysis and statistics analysis. The initial evaluation results show that for temperature observation, the value of both domestic radiosonde is higher compared to Vaisala radiosonde. The relative systematic error of Changfeng radiosonde is within 0.4℃ and standard deviation is within 0.7℃, the Huayun radiosonde owns similar performance, but its error obviously increases. For humidity observation, the observation data of Changfeng radiosonde below 16 km basically show dry trend compared to Vaisala radiosonde, and below 12 km humid trend for Huayun radiosonde. Below 14 km the relative systematic errors for Changfeng radiosonde and Huayun radiosonde can be within 4% and 6%, respectively, and above 14 km the relative systematic errors obviously increase, reaching 12% and 20%, respectively, and the standard deviations for gradually show increasing trend from surface to tropopause and can reach 14% and 17%, respectively. For pressure observation the relative systematic errors and standard deviations for Changfeng radiosonde and Huayun radiosonde is smaller compared to Vaisala radiosonde, the relative systematic errors show the similar trend that negative values occur in low layer and positive values in upper layer, and the standard deviations show decreasing trend from surface to upper layer. The absolute value of minimal relative systematic error minus maximal relative systematic error is within 1 hPa and maximal standard deviation is 1.2 hPa for surface point, assuring the accurate geopotential height calculation and correct pressure retrieving algorithm. For wind observation the relative systematic errors and standard deviations for Changfeng radiosonde and Huayun radiosonde is smaller compared to Vaisala radiosonde, and the analysis results show excellent GPS positioning function and correct wind calculation algorithm. It can be concluded the domestic radiosonde has reached advanced level except for the humidity element. In future, more improvements should be made on temperature observation above 30 km and humidity observation under low temperature.
- China-made GPS radiosonde;
- Yangjiang;
- the 8th International radiosonde intercomparison

FullText(HTML)

References(26)

Figures and Tables

Fig. 1 Systematic errors (a) and standard deviations (b) of temperature statistics

DownLoad: Full-Size Img PowerPoint

Fig. 2 Fine temperature and humidity structures of the 11th flight at low level at 08:35 16 July 2010

DownLoad: Full-Size Img PowerPoint

Fig. 3 Systematic errors (a) and standard deviations (b) of humidity statistics

DownLoad: Full-Size Img PowerPoint

Fig. 4 Temperature and humidity profiles of the 1st flight at 08:00 14 July 2010

DownLoad: Full-Size Img PowerPoint

Fig. 5 Systematic errors (a) and standard deviations (b) of pressure retrieved from GPS height statistics

DownLoad: Full-Size Img PowerPoint

Fig. 6 Systematic errors (a) and standard deviations (b) of north-south wind component statistics

DownLoad: Full-Size Img PowerPoint

Fig. 7 ystematic errors (a) and standard deviations (b) of west-east wind component statistics

DownLoad: Full-Size Img PowerPoint

Table 1 The temperature sample amount at different heights

分析高度/km	Vaisala	长峰	华云
2	6196	6195	6196
4	6035	6035	6035
6	5673	5673	5673
8	5413	5413	5413
10	5274	5274	5274
12	5058	5058	5058
14	4959	4959	4959
16	4660	4660	4660
18	5278	5278	5278
20	6317	6317	6317
22	5303	5303	5303
24	4684	6683	4683
26	4050	4050	4048
28	3643	3387	3435
30	3570	3290	3179
32	3302	3215	2970
34	3132	3132	2508
36	1891	1891	1117
38	280	280	40

DownLoad: Download CSV

Table 2 The humidity sample amount at different heights

分析高度/km	Vaisala	长峰	华云
2	5850	5849	5850
4	5700	5700	5700
6	5352	5352	5352
8	5114	5114	5114
10	4072	4072	4072
12	4775	4775	4775
14	4862	4862	4862
16	4366	4366	4366
18	4990	4990	4990
20	5976	5976	5976
22	4956	4956	4956
24	4380	4379	4379
26	3770	3770	3768
28	3374	3118	3374
30	3202	3002	3202
32	2000	2934	2000
34	3240	3240	3240
36	1877	1877	1877
38	240	240	240

DownLoad: Download CSV

Table 3 The pressure sample amount at different heights

分析高度/km	Vaisala	长峰	华云
2	6196	6195	6196
4	6035	6035	6035
6	5873	5873	5873
8	5413	5413	5413
10	5274	5274	5274
12	5058	5058	5058
14	4059	4059	4059
16	4660	4660	4660
18	5278	5278	5278
20	6317	6317	6317
22	5303	5303	5303
24	4684	4683	4683
26	4050	4050	4048
28	3643	3388	3643
30	3570	3290	3570
32	3302	3246	3302
34	3514	3514	3514
36	2203	2203	2203
38	280	280	280

DownLoad: Download CSV

Table 4 The wind sample amount at different heights

分析高度/km	Vaisala	长峰	华云
2	6196	6195	6196
4	6035	6035	6035
6	5873	5873	5873
8	5413	5413	5413
10	5274	5274	5274
12	5058	5058	5058
14	4059	4059	4059
16	4660	4660	4660
18	5278	5278	5278
20	6317	6317	6317
22	5303	5303	5303
24	4684	4683	4683
26	4050	4050	4048
28	3643	3388	3643
30	3570	3570	3570
32	3302	3302	3302
34	3514	3514	3514
36	2203	2203	2203
38	280	280	280

DownLoad: Download CSV

References

[1]	宋连春, 李伟.综合气象观测系统的发展.气象, 2008, 34(3):3-9. doi: 10.7519/j.issn.1000-0526.2008.03.001
[2]	WMO. Guide to Meteorological Instruments and Methods of Observation (Ⅴ7.0).Geneva:WMO, 2006.
[3]	Hooper A H. WMO International Radiosonde Comparison, Phase Ⅰ, Beaufort Park, U.K., 1984. WMO/TD-No.174, Instruments and Observing Methods Report No.28. Geneva:WMO, 1986.
[4]	Schmidlin F J. WMO International Radiosonde Comparison, Phase Ⅱ, Wallops Island, USA, 1985. WMO/TD-No.312, Instruments and Observing Methods Report No.29. Geneva:WMO, 1988.
[5]	Nash J, Schmidlin F J. WMO International Radiosonde Comparison, (U.K., 1984, U.S.A., 1985) Final Report. WMO/TD-No.195, Instruments and Observing Methods Report No.30. Geneva:WMO, 1987.
[6]	Ivanov A, Kats A, Kumosenko S, et al. WMO International Radiosonde Intercomparison Phase Ⅲ (Dzhambul, USSR, 1989) Final Report. WMO/TD-No.451, Instruments and Observing Methods Report No.40. Geneva:WMO, 1991.
[7]	Yagi S, Mita A, Inoue N. WMO International Radiosonde Intercomparison Phase Ⅳ (Tsukuba, Japan, 1993) Final Report. WMO/TD-No.742, Instruments and Observing Methods Report No.59. Geneva:WMO, 1996.
[8]	Balagurov A, Kats A, Krestyannikova N, et al. WMO Radiosonde Humidity Sensor Intercomparison, 1995. WMO/TD-No. 1305, Instruments and Observing Methods Report No.88. Geneva:WMO, 2006.
[9]	Da Silveira, Fisch R G, Machado L, et al. WMO Intercomparison of GPS Radiosondes, Alcantara, Brazil, 2001. WMO/TD-No.1314, Instruments and Observing Methods Report No.90. Geneva:WMO, 2006.
[10]	Nash J, Smout R, Oakley T, et al. WMO Intercomparison of High Quality Radiosonde Systems Final Report (Vacaos, Mauritius, 2005), Geneva:WMO, 2006.
[11]	GCOS. 2002: Manual on the GCOS Surface and Upper-Air Networks: GSN and GUAN, GCOS73. WMO/TD-No.1106, Geneva:WMO, 2002.
[12]	GCOS. 2007: GCOS Reference Upper-Air Network (GRUAN): Justification, Requirements, Siting and Instrumentation Options, GCOS112. WMO/TD-No.1379, Geneva:WMO, 2007.
[13]	Haimberger L. Homogenization of radiosonde temperature time series using innovation statistics. J Climate, 2007, 20(7):1377-1403. doi: 10.1175/JCLI4050.1
[14]	Sapucci Luiz F, Luiz A T Machado, Reinaldo B, et al. Analysis of relative humidity sensors at the WMO radiosonde intercomparison experiment in Brazil. J Atmos Ocean Technol, 2005, 22(6):664-678. doi: 10.1175/JTECH1754.1
[15]	姚雯, 郑国光, 郭亚田, 等.气象探空测风软件系统的标准化研究.应用气象学报, 2004, 15(1):88-94. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20040112&flag=1
[16]	黄炳勋.C波段测风一次雷达的跟踪特性及其应用前景.应用气象学报, 1995, 6(2):153-162. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19950220&flag=1
[17]	姚雯, 马颖, 黄炳勋, 等.利用GPS定位资料分析L波段雷达测风性能.应用气象学报, 2009, 20(2):195-202. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20090209&flag=1
[18]	毛节泰. GPS的气象应用.气象科技, 1993, 21(4):45-49. http://www.cnki.com.cn/Article/CJFDTOTAL-QUDW201104022.htm
[19]	朱喜林.GPS及其在大气探测中的应用.气象水文海洋仪器, 2004(1):42-46. http://www.cnki.com.cn/Article/CJFDTOTAL-QXSW200401009.htm
[20]	李国平, 黄丁发. GPS气象学研究及应用的进展与前景.气象科学, 2005, 25(6):651-661. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKX200506012.htm
[21]	秦晓军. GPS技术在气象探空测风中的应用.陕西气象, 2006(3):29-30. http://www.cnki.com.cn/Article/CJFDTOTAL-SXQI200603010.htm
[22]	徐刚, 王培延. GPS气象探空仪原理与工程设计.导航, 2005, 41(2):115-118. http://cdmd.cnki.com.cn/Article/CDMD-10730-1015519400.htm
[23]	马舒庆, 李峰, 邢毅.从毛里求斯国际探空系统对比看全球探空技术的发展.气象科技, 2006, 34(5):606-609. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ200605022.htm
[24]	李伟, 邢毅, 马舒庆.国产GTS1探空仪与VAISALA公司RS92探空仪对比分析.气象, 2009, 35(10):97-102. doi: 10.7519/j.issn.1000-0526.2009.10.012
[25]	Jauhiainen H, Lehmuskero M. Vaisala White Paper, Performance of the Vaisala Radiosonde RS92-SGP and Vaisala DigiCORAR^® Sounding System MW31 in the WMO Mauritius Radiosonde Intercomparison, 2005.
[26]	李伟, 房岩松, 王缅.芬兰VAISALA公司RS92探空仪测量结果不确定度分析.仪器仪表学报, 2009, 30(6):89-91. http://cpfd.cnki.com.cn/Article/CPFDTOTAL-YQYB200907001032.htm