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Table 2 Statistical results of the mean bias, RMS and STD for the four models over Guilin using ERA5 data from 2017

From: Spatiotemporal characteristics of GNSS-derived precipitable water vapor during heavy rainfall events in Guilin, China

Models

Mean bias (K)

RMS (K)

STD (K)

R

Bevis

− 2.30

3.25

2.30

0.90

Li

− 2.32

3.54

2.67

0.90

GPT2w-1

0.21

2.73

2.68

0.81

Guilin

− 0.51

2.12

2.04

0.90

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