本文针对现有利用FY-3 L1级数据反演PWV精度较低的现状,提出一种GNSS辅助FY-3/MERSI L1的高精度PWV反演方法,该方法引入GNSS精确估计PWV和大气透过率的模型回归系数;此外,顾及季节因素对大气水汽影响,分季节构建更加精确的模型回归系数;最后,...
降雨量与参数变化率间同样存在着明显关联:随着雨量的增加,PWV变化率也呈现出逐渐增加的趋势,并在雨量达到最大值时同步取得极大值,随后两者都同步减小,当降雨停止时,PWV变化率达到最小值;气压和相对湿度的变化率峰值几乎与雨量峰值同时出现...
The monitoring of atmospheric precipitable water vapor (PWV) via the Global Navigation Satellite System (GNSS) is a potent technique for the continuous collection of atmospheric moisture data, which is vital for regional weather observation and forecasting, especially in the context ...
首先根据热带气旋登陆后的地面密集GNSS站数据反演得到上空高时间分辨率PWV信息，对不同高程的GNSS站点PWV数据进行高程改正，得到统一高程面的GNSS‑PWV时序数据；S2、对改正后的GNSS‑PWV时间序列数据进行匹配，得到优选GNSS站的PWV数据；S3、根据气旋内部的水汽分布特征选择接近气旋附近的连续多个GNSS站点，并计算PWV...
(ZWD)5. One of the crucial steps in retrieving water vapor using GNSS technique is the conversion of ZWD into PWV6. This conversion is dependent on a conversion factor (II), which is determined by the weighted mean temperature of the atmosphere (Tm). This technique has many advantages, ...
(ZWD)5. One of the crucial steps in retrieving water vapor using GNSS technique is the conversion of ZWD into PWV6. This conversion is dependent on a conversion factor (II), which is determined by the weighted mean temperature of the atmosphere (Tm). This technique has many advantages, ...
First published: 07 March 2024 https://doi.org/10.1029/2023EA003136 Sections PDF Tools Share Abstract Atmospheric wet delay caused by Precipitable Water Vapor (PWV) significantly impacts the performance of many geodetic surveying systems such as Global Navigation Satellite System (GNSS). In this ...
特大暴雨期间,PWV总体呈现先随降雨量的增加而上升,后随降雨量的减少而下降.降雨量达到峰值前4~6 h,PWV急增到极值,ΔPWV的变化范围为7.35~9.02 mm;降雨量达到极值时,PWV也相应达到峰值(70.58 mm以上).PWV,相对湿度,总云量与降雨量的空间分布规律相似,发生降雨的河南省中部,北部和西部上空的PWV始终处于较高水平...
南极大气水汽时间序列存在双峰变化,夏季大气水汽含量最高,冬季含量最低,表现出季节依赖性.对南极地区的ERA5-PWV做季节均值和季节间差值并进行空间特征分析表明:南极大陆边缘地区大气水汽含量较高,内陆地区较低,但空间差异较小;外围海域大气水汽含量季节间变化较大,内陆地区较小且南极洲的东西两侧地形陡峭的地区PWV变化...