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风廓线雷达反演大气比湿廓线的初步试验

孙康远 阮征 魏鸣 葛润生 董保举

孙康远, 阮征, 魏鸣, 等. 风廓线雷达反演大气比湿廓线的初步试验. 应用气象学报, 2013, 24(4): 407-415..
引用本文: 孙康远, 阮征, 魏鸣, 等. 风廓线雷达反演大气比湿廓线的初步试验. 应用气象学报, 2013, 24(4): 407-415.
Sun Kangyuan, Ruan Zheng, Wei Ming, et al. Preliminary estimation of specific humidity profiles with wind profile radar. J Appl Meteor Sci, 2013, 24(4): 407-415.
Citation: Sun Kangyuan, Ruan Zheng, Wei Ming, et al. Preliminary estimation of specific humidity profiles with wind profile radar. J Appl Meteor Sci, 2013, 24(4): 407-415.

风廓线雷达反演大气比湿廓线的初步试验

资助项目: 

公益性行业 (气象) 科研专项 GYHY200906039

国家自然科学基金项目 41075023

详细信息
    通信作者:

    阮征,email: ruanz@cams.cma.gov.cn

Preliminary Estimation of Specific Humidity Profiles with Wind Profile Radar

  • 摘要: 基于湍流散射理论,运用边界层风廓线雷达 (WPR) 联合RASS (Radio Acoustic Sounding System), GPS/PWV (Global Position System/Precipitable Water Vapor) 进行全遥感系统的大气比湿廓线反演试验,并对影响因子进行分析。利用2011年8—9月云南大理综合探测试验数据的反演结果与探空数据进行比较分析,结果表明:WPR联合探空的温度廓线和起始边界比湿 (q0) 反演大气比湿廓线,与探空大气比湿廓线相比具有相同的变化趋势,标准差为0.84 g·kg-1,误差随高度增加呈递增趋势;WPR联合RASS, GPS/PWV数据反演大气比湿廓线,与探空大气比湿廓线的标准差为0.85 g·kg-1。参加反演的数据中,折射指数结构常数Cn2与谱宽σturb2对反演影响最大,反演算法中大气折射指数梯度M符号的判断对反演精度也有较大影响。
  • 图  1  2011年9月2日20:00折射指数梯度M (a)、比湿q (b) 随高度分布

    Fig. 1  The height distribution of refractive index gradient M (a) and specific humidity q (b) at 2000 BT 2 Sep 2011

    图  2  探空与GPS水汽含量比对

    Fig. 2  The PWV comparison of RS and GPS

    图  3  GPS/PWV反演与探空观测q0比对

    Fig. 3  The comparison of retrieved q0 and observed q0

    图  4  WPR反演比湿与探空比湿廓线比对

    (a) WPR反演与探空散点图, (b) 平均偏差随高度变化, (c) 标准差随高度变化

    Fig. 4  The comparison of specific humidity between the retrieved from WPR and RS

    (a) the scatter diagram of humidity from WPR and RS,(b) the mean deviation between WPR and RS,(c) the standard deviation between WPR and RS

    图  5  折射指数结构常数Cn2与谱宽σturb2对反演比湿精度的影响

    Fig. 5  The specific humidity retrieving accuracy effect of refractive index structure constant Cn2 and spectral width σturb2

    图  6  WPR联合探空反演比湿与探空比湿比对

    (a) 探空与WPR确定M符号反演比湿廓线, (b) 探空M与WPR确定M符号, (c) 探空与探空确定M符号反演比湿廓线

    Fig. 6  The comparison of specific humidity between the retrieved from WPR and RS

    (a) specific humidity profiles retrieved by sign of M from WPR and RS, (b) the sign of M from WPR and RS, (c) specific humidity profiles retrieved by sign of M from RS and observed

    图  7  WPR, RASS和GPS反演比湿与探空比湿廓线比对

    (a) WPR,RASS和GPS反演与探空比湿散点图,(b) 平均偏差随高度变化,(c) 标准差随高度变化

    Fig. 7  The comparison of specific humidity between the retrieved and RS

    (a) the scatter diagram of specific humidity from WPR,RASS,GPS and RS,(b) the mean deviation between WPR,RASS,GPS and RS,(c) the standard deviation between WPR,RASS,GPS and RS

    图  8  WPR, RASS, GPS反演与探空比湿廓线比对

    (a) 2011年8月16日08:00, (b) 2011年8月21日08:00, (c) 2011年8月21日20:00

    Fig. 8  The comparison of specific humidity profilers among the retrieved from WPR, RASS, GPS and RS, respectively

    (a) 0800 BT 16 Aug 2011, (b) 0800 BT 21 Aug 2011, (c) 2000 BT 21 Aug 2011

    表  1  不同高度水汽含量占全程水汽总量比例

    Table  1  The ratio of vapor accounting for the total below different height

    距离地面的高度/m 距地高度单位气柱
    平均水汽总量/mm
    距地高度占全程
    水汽总量比例/%
    距地高度占全程
    水汽总量比例离差/%
    300 3.55 12.46 1.34
    1000 10.62 36.17 3.53
    1500 14.70 50.08 4.78
    2000 18.09 61.63 5.40
    3000 23.11 78.67 5.48
    4000 26.23 89.20 3.91
    5000 28.03 95.25 2.39
    6000 28.89 98.10 1.30
    7000 29.25 99.29 0.61
    下载: 导出CSV

    表  2  引入RASS数据与GPS数据的误差影响

    Table  2  The effect of taking RASS data and GPS data into account on errors

    引入数据 平均偏差/(g·kg-1) 标准差/(g·kg-1)
    RASS 0.06 0.32
    GPS -0.06 0.85
    下载: 导出CSV
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  • 收稿日期:  2012-10-12
  • 修回日期:  2013-04-22
  • 刊出日期:  2013-08-31

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