国产GPS探空仪国际比对试验结果

The International Radiosonde Intercomparison Result for China-made GPS Radiosonde

  • 摘要: 通过2010年7月12日—8月1日第8届世界气象组织阳江国际探空比对,采取同球比对施放方式,选择芬兰Vaisala探空仪作为比对标准,对中国参加国际比对的长峰探空仪与华云探空仪,使用共29次同球比对数据,从典型个例分析与统计分析两方面开展系统性评估。初步评估结果表明:对于温度探测,中国长峰探空仪整体系统偏差在0.4℃之内,标准偏差在0.7℃之内,中国华云探空仪在30 km高度以下性能与长峰探空仪相当,但是30 km高度以上偏差明显增大;对于气压与风的探测,两者系统偏差与标准偏差均较小,表明GPS定位以及气压与风的算法准确;对于湿度探测,与芬兰Vaisala探空仪相比,还存在一定差距,特别是低温性能需要提高。

     

    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.

     

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