A study of water vapor variability associated with deep convection using a dense GNSS receiver network and a non-hydrostatic numerical model

摘要

The characteristics of water vapor variability associated with the initiation and evolution of deep convection were investigated by using Global Navigation Satellite System (GNSS) meteorology technique and a meso-scale non-hydrostatic numderical model(NHM). The local scale spatio-temporal variability of precipitable water vapor (PWV) was analyzed by using a dense GNSS receiver network installed around Uji, Kyoto, with inter-station distances of about 1-2 km. The PWV data were used to validate the NHM results and to investigate the optimum scales of water vapor measurement for predicting deep convection by conducting a data assimilation experiment. Next, an observational campaign was conducted in Indonesia to elucidate the feasibility of GNSS meteorology and meso-scale NHM in the tropical region.