- 1Changzhou Institute of Technology, School of Computer Science and Information Engineering, Changzhou 213032, China (wangmm@czu.cn)
- 2State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China
- 3School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
How to cite: Wang, M., Lu, B., and Zhong, Q.: The initial results about optimum the random walk process noise rate for GNSS tropospheric delay estimation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4327, https://doi.org/10.5194/egusphere-egu26-4327, 2026.