Assessment of ZTD derived from ECMWF/NCEP data with GPS ZTD over China
Assessment of ZTD derived from ECMWF/NCEP data with GPS ZTD over China
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DOI：
10.1007/s10291-010-0200-x
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发表时间：
2011-10-01
期刊：
影响因子：
4.9
通讯作者：
Zhao, Jingyang
中科院分区：
文献类型：
--
作者：
Chen, Qinming;Song, Shuli;Zhao, Jingyang
研究了利用欧洲中期天气预报中心（ECMWF）和美国国家环境预报中心（NCEP）的资料计算天顶对流层延迟（ZTD）的准确性和可行性。利用ECMWF/NCEP的气压资料和Saastamoinen模型方法计算了ZTD，并与中国地壳运动观测网络（CMONOC）28个GPS台站1 a的实测结果进行了比较。结果表明：（1）积分法的误差比Saastamoinen模型法小1- 3cm。ECMWF ZTD与GPS ZTD的一致性好于NCEP ZTD与GPS ZTD的一致性：（2）偏差和均方根差（RMSD），尤其是后者具有季节性变化，RMSD随海拔高度的增加而减小，随纬度的变化不明显;以及（3）当使用ECMWF气象数据的0.5A度A xA 0.5A度的全水平分辨率代替减小的2.5A度A xA 2.5A度网格时，结果表明，利用ECMWF和NCEP资料计算对流层延迟和建立中国地区ZTD预报模型的准确性和可行性。
The accuracy and feasibility of computing the zenith tropospheric delays (ZTDs) from data of the European Center for Medium-Range Weather Forecasts (ECMWF) and the United States National Centers for Environmental Prediction (NCEP) are studied. The ZTDs are calculated from ECMWF/NCEP pressure-level data by integration and from the surface data with the Saastamoinen model method and then compared with the solutions measured from 28 global positioning system (GPS) stations of the Crustal Movement Observation Network of China (CMONOC) for 1 year. The results are as follows: (1) the error of the integration method is 1-3 cm less than that of the Saastamoinen model method. The agreement between the ECMWF ZTD and GPS ZTD is better than that between NCEP ZTD and GPS ZTD; (2) the bias and root mean square difference (RMSD), especially the latter, have a seasonal variation, and the RMSD decreases with increasing altitude while the variation with latitude is not obvious; and (3) when using the full horizontal resolution of 0.5A degrees A xA 0.5A degrees of the ECMWF meteorological data in place of a reduced 2.5A degrees A xA 2.5A degrees grid, the mean RMSD between GPS and ECMWF ZTD decreases by 4.5 mm. These results illuminated the accuracy and feasibility of computing the tropospheric delays and establishing the ZTD prediction model over China for navigation and positioning with ECMWF and NCEP data.