Qingzhi Zhao

TL;DR: The proposed short-term rainfall forecasting method based on GNSS-derived PWV has good applicability and high accuracy, which can be used for rainfall forecasting, and in the future study, it can be assimilated with traditional weather forecasting techniques to improve the forecasted accuracy.

TL;DR: In this article, the temporal variability of precipitable water vapour (PWV) derived from Global Navigation Satellite System (GNSS) observations can be used to forecast precipitation events.

TL;DR: An improved rainfall forecasting model (IRFM) considering five predictors provides a better performance than that only using a single predictor or a combination of arbitrary predictors.

TL;DR: In this article, the authors calculated precipitable water vapour (PWV) using ground-based GNSS stations derived from the Crustal Movement Observation Network of China (CMONOC) and estimated the zenith total delay (ZTD) using the GAMIT/GLOBK (Ver. 10.4) and the ZHD is calculated using the layered European Centre for Medium-Range Weather Forecasting (ECMWF) ERA-Interim data.

TL;DR: The analysis of the time series of GPS-derived ZTD by least-square fitting of a broken line tendency for a full year of observations, and a forecasting method for precipitation is proposed based on the ZTD slope in the ascending period suggested that the proposed method is useful for the assisted forecasting, especially for short-term alarms.