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 …
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 …
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 …
Navigation Satellite System (GNSS) has extended its application to the rainfall forecasting …
A data-driven approach for accurate rainfall prediction
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 …
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 …
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 …
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 …
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 …
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
In recent years, tropospheric products obtained from ground-based global navigation
satellite system (GNSS) measurements, especially the zenith total delay (ZTD) and …
satellite system (GNSS) measurements, especially the zenith total delay (ZTD) and …
[HTML][HTML] Estimating rainfall intensity using an image-based deep learning model
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 …
threats to public safety. One promising way to mitigate its impacts is to develop a real-time …