利用小波变换对暴雨过程中GNSS气象要素的研究

水汽的时空分布会对天气情况和降水预报产生影响，常规的探测手段精确度较低、分辨率不 高，利用小波变换可深入研究暴雨中的GNSS 气象要素情况。小波分解可以从GNSS 中获取可降水 量、气压、对流层延迟等信息，并以此作为暴雨降水量的判断依据。1 小时间隔可降水量、气压和对流 层延迟的小波高频分解系数较为接近，可从中获得暴雨预报信息。

Study on GNSS Meteorological Elements during Rainstorm by Using Wavelet Transform

The spatial and temporal distribution of water vapor will have an impact on weather conditions and precipitation forecast. Conventional detection means have low accuracy and low resolution. Wavelet transform can be used to deeply study GNSS meteorological elements in rainstorm. The wavelet decomposi? tion can obtain the information of precipitation, pressure, tropospheric delay and so on from GNSS, and take this as the judgment basis of rainstorm precipitation. The high frequency decomposition coefficients of 1 hour interval precipitation, pressure and tropospheric delay are close to each other, from which rainstorm forecast information can be obtained.