Shuaimin Wang

Shandong University | SDU · Institute of space science shandong university

利用台湾桃园(TWTF)站气象数据和对流层延迟数据开展可降水量和对流层延迟序列的相关性分析,显示两者存在显著正相关特性。利用回归分析建立季节和全年转换模型,并利用各季节降水和无降水期间的数据对模型进行检验。结果显示,各季节GNSS可降水量与线性回归可降水量的RMS值小于1.5mm,最大误差不超过3.3mm,满足GNSS气象学的基本要求。

The atmospheric weighted mean temperature is a key parameter for retrieving precipitable water vapor (PWV) from the ground-based Global Navigation Satellite Systems (GNSS) and plays a crucial role in GNSS meteorology. In view of complex terrain and diverse climate in China, a stratified grid Tm model (CTmS) is developed in this study based on ERA5...

Accurately measuring precipitable water vapor (PWV) is challenging, especially in the absence of the measured meteorological data. We propose a novel grid model, CZP, that directly converts zenith tropospheric delay to PWV, leveraging ERA5 reanalysis data from 2016 to 2019. The CZP model considers the seasonal variability of the PWV and the spatial...

针对进一步提升标准气压外推模型在中国大陆地区的精度及可用性的问题，该文利用2004—2014年ERA5气压层数据补偿平均海平面气压(MSLP)的外推误差，顾及残差的时空变化构建了一种优化的气压外推模型(CPM)。基于2015年传感器实测气压的验证结果表明，CPM模型的精度较标准外推模型提升40.6%,对应的静力学(干)延迟(ZHD)不确定度减少3 mm。以2015年无线电探空大气可降水量(PWV)为参考，基于CPM模型计算的GNSS-PWV精度较标准外推模型提升14.9%,且与探空PWV表现出高度相关性。

Atmospheric pressure and Zenith wet delay (ZWD) are essential for GNSS tropospheric correction and precipitable water vapor (PWV) retrieval. As the development progresses of real-time GNSS kinematic technology, moving platforms such as airborne and shipborne require high-quality tropospheric delay information to pre-correct errors. Most existing tr...

To obtain high-accuracy post and real-time precipitable water vapor (PWV) with simple process when the measured meteorological parameters are unavailable, a grid direct conversion model of zenith tropospheric delay (ZTD) and PWV in tropical regions (named CZP) is proposed with the consideration of the characteristics of spatiotemporal changes based...

Total precipitable water (TPW) values derived from Constellation Observing System for Meteorology, Ionosphere and Climate-2 (COSMIC-2) are compared with those derived from Special Sensor Microwave Imager Sounder (SSMIS), Global Precipitation Measurement (GPM) Microwave Imager (GMI), and Advanced Microwave Scanning Radiometer-2 (AMSR-2) over the oce...

Global Navigation Satellite System (GNSS) ultra-rapid orbit is critical for geoscience and real-time engineering applications. To improve the computational efficiency and the accuracy of predicted orbit, a parallel approach for multi-GNSS ultra-rapid orbit determination is proposed based on Message Passing Interface (MPI)/Open Multi Processing (Ope...

Using Global Navigation Satellite System (GNSS) radio occultation technology to detect atmospheric boundary layer height (ABLH) accurately has always been a difficult point in the field of satellite navigation research. Moreover, atmospheric boundary layer is a key parameter when studying climatology. With the Constellation Observing System for Met...

The meteorological reanalysis data has been widely applied to derive zenith tropospheric delay (ZTD) with a high spatial and temporal resolution. With the rapid development of artificial intelligence, machine learning also begins as a high-efficiency tool to be employed in modeling and predicting ZTD. In this paper, we develop three new regional ZT...

At present, the global reliability and accuracy of Precipitable Water Vapor (PWV) from different reanalysis products have not been comprehensively evaluated. In this study, PWV values derived by 268 Global Navigation Satellite Systems (GNSS) stations around the world covering the period from 2016 to 2018 are used to evaluate the accuracies of PWV v...

The latest reanalysis of the European Center for Medium-Range Weather Forecasts (ECMWF), ERA5, can provide atmospheric data for calculating Zenith Tropospheric Delay (ZTD) with hourly temporal resolution, which is a key factor in Global Navigation Satellite System (GNSS) high-precision application. This paper is aimed at evaluating the performance...

摘 要：在考虑可降水量季节性变化的基础上，提出利用ＧＰＳ数据建立ＭＯＤＩＳ近红外可降水量季节性模型。首先对比分析２０１４年北京房山（ＢＪＦＳ）站的ＧＰＳ可降水量和相应时间的ＭＯＤＩＳ近红外可降水量数据，发现两者之间的变化趋势基本一致，存在显著线性相关性；然后以ＧＰＳ可降水量为标准值，利用回归分析建立ＧＰＳ和ＭＯＤＩＳ可降水量之间的季节和全年校正模型。经检验，ＧＰＳ可降水量与四个季节模型校正的ＭＯＤＩＳ近红外可降水量的均方根误差均小于３ｍｍ，最大误差不超过６ｍｍ，季节校正模型的精度都要高于全年校正模型。 关键词：ＧＰＳ；可降水量；ＭＯＤＩＳ；校正；季节模型

Due to the special geographical location and extreme climate environment, the polar regions (Antarctic and Arctic) have an important impact on global climate change. Atmospheric weighted mean temperature (Tm) is a crucial parameter in the retrieval of precipitable water vapor (PWV) from the zenith wet delay (ZWD) of ground-based Global Navigation S...

The settlement monitoring of subway runs through the entire construction stage of subway. It is very important to predict the accurate settlement value for construction safety of subway. In this paper, the wavelet transform is used to denoise the settlement data. The auxiliary wavelet neural network, embedded wavelet neural network and single BP ne...