Abstract We analyze the accuracy of the tropospheric delay in China calculated using ECMWF surface data with the water vapor decline rate and the temperature decline rate provided by the GPT2w model. At first,we analyze the accuracy of meteorological parameters(P,T,e) derived from ECMWF. The results show that the mean RMS are 1.76 hPa, 1.96 K, 1.98 hPa, respectively. Then, we compare the ZTD calculated from ECMWF surface data with bench mark values derived from 6 years(2010 to 2015) of radiosonde data recorded at 75 radiosonde stations in China. To make the result more credible, we also analyze the accuracy of ZTD calculated from radiosonde surface data. The results show that the mean bias value of ZTD derived from ECMWF is 0.07 cm and the mean RMS is 3.72 cm, which is even smaller than radiosonde in the low latitude region. We also assess the accuracy of the ZTD calculated from ECMWF surface data using ZTD time series derived from GNSS stations of CMONOC in 2015. The result shows an average accuracy of 3.41 cm. Through the research, we can draw a conclusion that the accuracy of ECMWF surface data is high enough to be used in the calculating ZTD of stations in China where the meteorological parameters are unavailable and for related GNSS applications.
YAN Xiaoxia,LI Wei,ZHANG Baocheng et al. Analysis of the Accuracy of Zenith Tropospheric Delay Calculated by ECMWF Surface Data over China Area[J]. jgg, 2019, 39(11): 1142-1147.
YAN Xiaoxia,LI Wei,ZHANG Baocheng et al. Analysis of the Accuracy of Zenith Tropospheric Delay Calculated by ECMWF Surface Data over China Area[J]. jgg, 2019, 39(11): 1142-1147.