湿延迟与可降水量转换系数的全球经验模型

发布时间：2018-10-16 20:08

【摘要】：利用2005~2011年的全球大地测量观测系统(global geodetic observing system,GGOS)Atmosphere提供的2.5°×2°(经度×纬度)的天顶湿延迟(zenith wet delay,ZWD)格网数据和欧洲中尺度天气预报中心(European Centre for Medium-Range Weather Forecasts,ECMWF)提供的2.5°×2°可降水量(precipitable water vapor,PWV)格网数据,在全球范围内计算得到各格网点的地基GPS水汽反演关键参数Π-1的时间序列,分析了其时空分布特征,建立了一种转换系数Π的全球经验模型。该模型无需站点气象数据,仅与站点经纬度、年积日和海拔相关。利用未参与建模的2012年的GGOS Atmosphere和ECMWF格网数据、2012年661个无线电探空站的探空资料对模型进行精度检验。结果显示,采用格网数据检验,其偏差的平均值(Bias)为-0.179mm,均方根误差(root mean square error,RMS)的平均值为1.806mm;采用无线电探空资料进行检验,其Bias为0.465mm,RMS为0.789mm。结果都表现出了较小的系统性偏差与较高的精度,说明所建立的湿延迟与可降水量转换系数模型在全球范围内具有较高的精度与稳定性。
[Abstract]:Using the 2.5 掳脳 2 掳(longitude 脳 latitude) zenith wet delay (zenith wet delay,ZWD grid data provided by the Global Geodetic observing system (global geodetic observing system,GGOS) from 2005 to 2011 and the 2.5 掳脳 2 掳precipitable water (precipitable water vapor,PWV grid data provided by the European Center for Mesoscale Weather Prediction (European Centre for Medium-Range Weather Forecasts,ECMWF), In this paper, the time series of the key parameters of subgrade GPS water vapor inversion at each grid are calculated in a global scale. The space-time distribution characteristics are analyzed, and a global empirical model of conversion coefficient is established. The model does not require station meteorological data, but is only related to longitude, latitude, annual accumulation and altitude. Using the GGOS Atmosphere and ECMWF grid data not involved in modeling in 2012, the radiosonde data from 661 radiosonde stations in 2012 were used to verify the accuracy of the model. The results show that the average deviation (Bias) is -0.179mm, the root mean square error (root mean square error,RMS) is 1.806mm, and the Bias of radiosonde data is 0.789mm. The results show small systematic deviation and high accuracy, which indicates that the model of wet delay and precipitable water conversion coefficient has high precision and stability in the global scope.
【作者单位】：武汉大学测绘学院;
【基金】：中央高校基本科研业务费专项资金(2014214020202) 国家测绘地理信息局测绘基础研究基金(13-02-09)~~
【分类号】：P228.4;P412

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