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GNSS气象学中关键参数的建模

Modeling of Main Parameters in GNSS Meteorology

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地基GNSS气象学是GNSS技术的一种新应用,其基本原理是利用GNSS信号穿过对流层时产生的湿分量延迟反演可降水量,而湿分量延迟和可降水量之间的转换参数是一个关于大气加权平均温度的函数,因此准确的求取大气加权平均温度是GNSS气象学中的关键.以徐州地区为例,利用探空数据建立加权平均温度模型,并与其他几种模型进行比较,结果表明本地化模型精度更高,更适合本地的水汽反演.
The ground-based GNSS meteorology is a new application of GNSS, which mainly researches how to compute the precipitable water vapor (PWV) by the delay in the zenith direction. And the transformation coefficient between precipitable water vapor and zenith wet delay is a function of weighted mean temperature. Computing the weighted mean temperature in the ground-based GNSS meteorology therefore becomes very important. Taking Xuzhou area as an example, the weighted average temperature model is established withthe sounding data, and is compared with other models. The results show that the localized model has higher precision and is more suitable for water vapor inversion.

Global Navigation Satellite SystemZenith DelayGround-based GPS Meteorology

姜波、张俊、江勇

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江苏省地质测绘院, 江苏南京 210000

全球导航定位系统 天顶延迟 GNSS气象学 大气加权平均温度

2019

江西测绘
江西省测绘地理信息局 江西省测绘学会

江西测绘

影响因子:0.381
ISSN:
年,卷(期):2019.(1)
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