综合GPS和NCEP CFSv2的区域PWV估计方法

发布时间：2018-11-13 11:45

【摘要】：利用地基GPS估计PWV(precipitable water vapor)时,除GPS观测数据外,GPS测站地表的气温和气压也是必要参数。针对我国多数GPS网并未配备相应的气象传感器的情况,利用美国环境预报中心气候预报系统第2版提供的逐6h产品,并顾及测站高程转换时的平均海平面高改正,提出一种GPS测站气象参数的插值新方法。以香港卫星定位参考站网实测GPS数据进行试验研究,结果表明,平均海平面高对地表气压的插值结果影响较大,而对地表气温的插值结果影响较小;经平均海平面高改正后,地表气压插值结果的平均均方根误差(RMSE)为1.61hPa,地表气温插值结果的平均RMSE为1.93 K;由插值气象参数估计的PWV的平均RMSE为2.76mm,验证了所提方法的有效性。
[Abstract]:In the estimation of PWV (precipitable water vapor) by ground-based GPS, in addition to the GPS data, the surface air temperature and atmospheric pressure of the GPS station are also necessary parameters. In view of the fact that most GPS networks in China are not equipped with corresponding meteorological sensors, the 6h product provided by the second edition of the Climate Prediction system of the United States Center for Environmental forecasting is used, taking into account the correction of the mean sea level height during the elevation conversion of the stations. A new interpolation method for meteorological parameters of GPS station is proposed. Based on the GPS data measured in Hong Kong Satellite Positioning reference Station Network, the results show that the mean sea level height has a great influence on the interpolation results of surface pressure, but has little effect on the interpolation results of surface air temperature. After the correction of mean sea level height, the mean root mean square error (RMSE) of the surface air pressure interpolation results is 1.61 HPA, and the average RMSE of the surface temperature interpolation results is 1.93 K. The average RMSE of PWV estimated by interpolation meteorological parameters is 2.76 mm, which verifies the effectiveness of the proposed method.
【作者单位】：河海大学地球科学与工程学院;
【基金】：国家自然科学基金(41274017,40974001) 江苏省研究生科研创新计划(KYLX15_0532) 中央高校基本科研业务费项目(2015B42114)~~
【分类号】：P228.4;P407

【相似文献】