顾及水汽衰减因子的中国区域大气可降水量模型的建立与分析

提出一种顾及水汽衰减因子的PWV估算模型，通过输入地面大气水汽压和水汽衰减因子获得PWV，并选取2018年中国地区85个探空测站和7个IGS测站1 a的观测数据用于验证新模型的精度。结果表明，在已知当日水汽衰减因子的情况下，模型估算的PWV精度约为2 mm；也可通过GPT2w格网内插得到任意位置的水汽衰减因子，其结果精度与传统的一次多项式模型相当，但新模型的作用范围更广、适用性更强。

Analysis of Atmospheric Precipitable Water Vapor Model in China with Water Vapor Decrease Factor

We propose a PWV estimation model considering the water vapor attenuation factor, and obtain the PWV by inputting the surface atmospheric water vapor pressure and the water vapor attenuation factor. We use the 1a observation data of 85 radiosonde stations and 7 IGS stations in China in 2018 to verify the accuracy of the new model. The results show that when there is a water vapor attenuation factor of the day, the model’s estimated PWV accuracy is about 2 mm; the water vapor attenuation factor at any position can also be obtained through GPT2w grid interpolation. The accuracy is equivalent to that of the traditional first-order polynomial model, but the newmodel has a wider range of action and stronger applicability.