A regional tropospheric zenith wet delay model considering piece wise representation for China region

doi:10.13474/j.cnki.11-2246.2023.0143

Abstract

Abstract: High-precision tropospheric zenith wet delay (ZWD) plays an important role in GNSS high-precision positioning and atmospheric water vapor monitoring. China has the characteristics of vast territory and variable terrain, and there are regular and difficult to follow airflow changes in the vertical direction. However, most ZWD models only use a single function to fit the changes in the atmospheric height range, or do not consider seasonal factors, so the applicability in China is poor. In this paper, based on the atmospheric reanalysis data of China's regional MERRA-2, an in-depth study of ZWD is carried out, and a Chinese regional ZWD model (CZWD model) is established to takes into account the subsection expression. The accuracy of the model is tested by taking the ZWD data calculated by the integration of 89 sounding stations in China as the reference value. The results show that the annual average Bias and annual RMS errors of the CZWD model are -2.9 and 21.9 mm, respectively. The accuracy is improved by 5% than GPT3 model, showing better accuracy and applicability in the Chinese region as a whole. Therefore, the CZWD model is of great significance for regional GNSS navigation and positioning and water vapor monitoring in China.

Key words: China region, GNSS, piece wise function, ZWD, empirical model

CLC Number:

P228

HUANG Ning, FU Shiyang, ZHANG Lulu, XIONG Ling, HUANG Liangke, LIU Lilong. A regional tropospheric zenith wet delay model considering piece wise representation for China region[J]. Bulletin of Surveying and Mapping, 2023, 0(5): 96-100.

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