Research progress and prospect of monitoring tropospheric water vapor by GNSS technique

YAO Yibin, Z Qingzhi - Acta Geodaetica et Cartographica Sinica, 2022 - xb.chinasmp.com
Troposphere is the most closely related to human activities in the geospace environment,
and water vapor is one of the most important components in the lower atmosphere. Although …

Hourly rainfall forecast model using supervised learning algorithm

Q Zhao, Y Liu, W Yao, Y Yao - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Previous studies on short-term rainfall forecast using precipitable water vapor (PWV) and
meteorological parameters mainly focus on rain occurrence, while the rainfall forecast is …

An improved rainfall forecasting model based on GNSS observations

Q Zhao, Y Liu, X Ma, W Yao, Y Yao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Except for its known aspects of positioning, navigation, and timing (PNT), the Global
Navigation Satellite System (GNSS) has extended its application to the rainfall forecasting …

A data-driven approach for accurate rainfall prediction

S Manandhar, S Dev, YH Lee… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, there has been growing interest in using precipitable water vapor (PWV)
derived from global positioning system (GPS) signal delays to predict rainfall. However, the …

Stratified rainfall forecast method using GNSS observations

Y Liu, Y Yao, Q Zhao, Z Li - Atmospheric Research, 2022 - Elsevier
Different rainfall intensity have varying effects on human activity. Previous studies on rainfall
forecasting using observations from global navigation satellite system (GNSS) mainly …

Evaluation of the weighted mean temperature over China using multiple reanalysis data and radiosonde

Y Sun, F Yang, M Liu, Z Li, X Gong, Y Wang - Atmospheric Research, 2023 - Elsevier
Abstract Global Navigation Satellite Systems (GNSS) meteorology has received extensive
attention for weather research in recent years. As a crucial conversion parameter, weighted …

Short-term rainfall forecast model based on the improved BP–NN algorithm

Y Liu, Q Zhao, W Yao, X Ma, Y Yao, L Liu - Scientific reports, 2019 - nature.com
The existing methods have been used the Zenith Total Delay (ZTD) or Precipitable Water
Vapor (PWV) derived from Global Navigation Satellite System (GNSS) for rainfall …

GNSS-derived PWV and comparison with radiosonde and ECMWF ERA-Interim data over mainland China

Q Zhao, Y Yao, W Yao, S Zhang - Journal of Atmospheric and Solar …, 2019 - Elsevier
Precipitable water vapour (PWV) is a key factor for monitoring climate and the hydrological
cycle. Here, PWV is calculated using 249 ground-based GNSS stations derived from the …

A new cumulative anomaly-based model for the detection of heavy precipitation using GNSS-derived tropospheric products

H Li, X Wang, S Choy, S Wu, C Jiang… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
In recent years, tropospheric products obtained from ground-based global navigation
satellite system (GNSS) measurements, especially the zenith total delay (ZTD) and …

[HTML][HTML] Estimating rainfall intensity using an image-based deep learning model

H Yin, F Zheng, HF Duan, D Savic, Z Kapelan - Engineering, 2023 - Elsevier
Urban flooding is a major issue worldwide, causing huge economic losses and serious
threats to public safety. One promising way to mitigate its impacts is to develop a real-time …