Adaptive Voxel-Based Model for the Dynamic Determination of Tomographic Region

Water vapor is a dominant greenhouse gas. It significantly impacts the atmosphere by trapping heat and infrared radiation. The effect essential for life on Earth but can also be harmful. Although amount of water in not much during cycle, it most active element rapid changes both spatial temporal domains. GNSS tomography’s ability to model high-resolution 3D distribution promising means measuring monitoring spatial-temporal variation vapor. This study developed tested new tomographic using adaptive voxel parameterization. uses traversal algorithm dynamically determine position voxels at each sampling epoch. that exclude no signals pass through, reducing influence such construction model. provides approach investigating inversion atmospheric experiment used one-month data from Hong Kong network September 2020, results were compared with general system. local radiosonde reference verification two approaches. mean root-mean-square error (RMSE) IQR profiles derived AAR are decreased 55% 48% respect GFR results, respectively. show accuracy method outperforms result statistics. successful implementation research has significant potential drive development tomography weather climate change.