GTS_CME: an open-source MATLAB-based software for the analysis of common mode errors in GNSS coordinate time series

Regional global navigation satellite system (GNSS) network analyses are often affected by spatially correlated errors, also known as common mode errors (CMEs). To better understand and process the CMEs in GNSS observations and to enhance the efficiency and accuracy of data processing, we developed a GNSS coordinate time series analysis software named GTS_CME based on mature principal component analysis (PCA) and independent component analysis (ICA) spatiotemporal filtering methods using MATLAB language. In addition, GTS_CME integrates numerous functions to assist users in the comprehensive analysis of GNSS coordinate time series. It includes standard preprocessing capabilities such as outlier removal, offset detection and removal, and continuous missing value interpolation. Moreover, the software features tools for retrieving surface mass loading data and calling Hector, which can be used for surface mass loading correction, noise characteristic analysis, and accuracy evaluation of GNSS coordinate time series.