Model Establishment and Analysis of Weighted Mean Temperature in the Region of Guilin

Abstract

Compared to conventional vapour detection instruments, new means of GPS water vapor detecting with high temporal and spatial resolution, without calibration, low cost, suitable for wide range of promotion. And then GPS water vapor detecting play a positive role in the surviving of heavy rain, hail and other severe weather. Inversion of atmospheric water vapor using GPS accurately (GPS-PWV) needs to have accurate the Weighted Mean Temperature (Tm), literature studies have shown Tm that precise calculations need to establish local optimization model. On May 8, 2016, the world tourist destinations Yangshuo has sustained heavy rain, flood was once the county seat of West Street, the main street flooded, which greatly threaten people’s personal and property safety, serious impact on the local tourism industry, causing huge economic losses. Therefore, accurately predicting GPS-PWV in Guilin region and predicted rainfall becomes more important, and to accurately compute GPS-PWV it is necessary to establish the region’s weighted average model. This Guilin weighted average atmospheric temperature model establishment and analysis research has scientific significance and practical value. The mainly research contents and results are: weighted average temperature model was established for Guilin. Sounding using radiosonde station in Guilin region 2010–2015 data, set up a monthly, quarterly and annual single station (Tm) model, and comparison with the existing (Tm) models. Results showed that, compared to this Tm model and the traditional Tm model accuracy is significantly improved, the BIAS of the model for −2.1670, MAE for 2.1670, RMSD for 1.4721, the models used in GPS-PWV can meet the requirements of GPS meteorology inversion of atmospheric water vapor.