摘要
目前GPS反演倾斜路径水汽量可以分解为三个部分,天顶的大气可降水量PWV、大气梯度模型模拟的湿延迟项和未被大气梯度模拟的水汽各向异性部分。这三个部分综合起来可以反映水汽场的信息,但它们的演变又表现出不同的特点,因此对它们的时间序列进行统计分析可以了解水汽长期变化特征。利用设在深圳竹子林GPS接收机反演得到的结果分析了它们的变化幅度和时间尺度。
At present the inversion of atmospheric water vapor along slant path using global positioning system(GPS)could be decomposed into three parts,which are precipitable water vapor along the zenith,wet delay moded with atmospheric gradient mode and unmoded nonisotropic component of water vapor.These there parts can be integrated to express the whole water vapor field whose developments behave different characteristic.So statistic research of their time sequence could resolve the long time develop characteristic of water vapor.This study inverse water vapor along slant path using GPS receiver in Zhuzilin region of Shenzhen and research their change management and time scale.
作者
毛辉
Mao Hui(Shenzhen National Climate Observatory, Shenzhen 518040, China)
出处
《环境科学与管理》
CAS
2020年第4期177-180,共4页
Environmental Science and Management
关键词
GPS
倾斜路径
水汽
统计分析
global positioning system
slant path
water vapor statistic research