In order to further study the use of global navigation satellite system (GNSS) atmospheric precipitable water (PWV) to analyze the characteristics of different climate types,the paper carried out the singular spectrum analysis of typical monsoon climate characteristics of GNSS PWV:the data of continuously operating reference stations from the central and eastern regions of China from 2016 to 2021 were seleted,the PWV values obtained by fusing the global pressure and temperature (GPT (GPT3_1,GPT3-5)) models with ERA5 model and the zenith tropospheric delay (ZTD) data calculated by GNSS were comparatively analyzed,and the optimal atmospheric models of GNSS PWV for three typical monsoon climate types in China were given;then,singular spectrum nalysis (SSA) was put forwarded to decompose and reconstruct the GNSS PWV time series,in order to analyze the characteristics of different monsoon climate types based on GNSS PWV.Results showed that the ERA5 model would have better accuracy under three typical monsoon climate types in China,thus the ERA5 model could be chosen as the optimal atmospheric model,and the reconstructed GNSS PWV variation trend would well reflect the characteristics of the three typical monsoon climate types;therefore,GNSS PWV could be applied in climate feature analysis.
global navigation satellite system (GNSS)/precipitable water vapor (PWV)/global pressure and temperature (GPT) model/European Centre for Medium-range Weather Forecasts reanalysis v5 (ERA5)/singular spectrum analysis (SSA)/climate characteristics
维普
万方数据