A Two-Step Machine Learning Framework for High-Resolution Reconstruction of Regional GNSS-Derived PWV Grids Using Meteorological Auxiliary Data
High-resolution precipitable water vapor (PWV) gridded products provide essential data for atmospheric state estimation and monitoring of regional heavy precipitation. PWV retrieved from the Global Navigation Satellite System (GNSS) offers high temporal resolution and all-weather observation capability; however, the sp...