In order to study the predictability of line galloping in Henan Province, the predictability of meteorological indices was evaluated by using 121 national meteorological stations observation data and NWP (Numerical Weather Prediction) data besides the ordinary line galloping prediction model of meteorological risk in this paper. The basic meteorological variables were examined by using ordinary statistic methods such as error, absolute error, root mean square error and predictabilities of line galloping in four line galloping prone regions. It revealed the possibility of line galloping prediction by using NWP. The results showed that: (1) the predictability of line galloping in the plain areas in the east of Henan Province was high, while it was lower in the mountain areas in the west of Henan Province, the predictabilities of the four galloping prone regions were from high to low were Region No.1 (plain area in the east of Henan Province), Region No.3 (mountain area in the south of Henan Province), Region No.4 (mountain area in the northwest of Henan Province) and Region No.1 (basin area in the southwest of Henan Province); (2) the biases of temperature and wind speed were both small in the plain areas and large in the mountain areas; (3) the predictability of line galloping of meteorological indices from high to low was wind speed, temperature and relative humidity, which the accuracy rates are 73.4%, 78.4%, 67.1% respectively, and the predictability of wind speed and temperature was high in the east and low in the west and the predictability of relative humidity is high in the south and low in the north; (4) in order to improve the level of prediction, it was necessary to correct the different forecast variables in different region for the predictabilities of temperature, wind speed and relative humidity were not totally the same in different areas.