An improved method for rainfall forecast based on GNSS-PWV

L Li, K Zhang, S Wu, H Li, X Wang, A Hu, W Li, E Fu… - Remote Sensing, 2022 - mdpi.com
Global navigation satellite systems (GNSS) has been applied to the sounding of precipitable
water vapor (PWV) due to its high accuracy and high spatiotemporal resolutions. PWV …

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 …

GNSS-derived PWV and meteorological data for short-term rainfall forecast based on support vector machine

Y Liu, Q Zhao, Z Li, Y Yao, X Li - Advances in Space Research, 2022 - Elsevier
Rainfall is one of the key triggers of severe weather, such as floods and mudslides. It is
difficult to forecast accurately and timely. With the extended application of global navigation …

Development of an improved model for prediction of short-term heavy precipitation based on GNSS-derived PWV

H Li, X Wang, S Wu, K Zhang, X Chen, C Qiu, S Zhang… - Remote Sensing, 2020 - mdpi.com
Nowadays, the Global Navigation Satellite Systems (GNSS) have become an effective
atmospheric observing technique to remotely sense precipitable water vapor (PWV) mainly …

[HTML][HTML] Establishing a method of short-term rainfall forecasting based on GNSS-derived PWV and its application

Y Yao, L Shan, Q Zhao - Scientific reports, 2017 - nature.com
Abstarct Global Navigation Satellite System (GNSS) can effectively retrieve precipitable
water vapor (PWV) with high precision and high-temporal resolution. GNSS-derived PWV …

A new method for determining an optimal diurnal threshold of GNSS precipitable water vapor for precipitation forecasting

H Li, X Wang, S Wu, K Zhang, E Fu, Y Xu, C Qiu… - Remote Sensing, 2021 - mdpi.com
Nowadays, precipitable water vapor (PWV) retrieved from ground-based Global Navigation
Satellite Systems (GNSS) tracking stations has heralded a new era of GNSS meteorological …

GPS-PWV based improved long-term rainfall prediction algorithm for tropical regions

S Manandhar, YH Lee, YS Meng - Remote Sensing, 2019 - mdpi.com
Global positioning system (GPS) satellite delay is extensively used in deriving the
precipitable water vapor (PWV) with high spatio–temporal resolution. One of the recent …

[HTML][HTML] 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 …

A neural network-based approach for the detection of heavy precipitation using GNSS observations and surface meteorological data

H Li, X Wang, K Zhang, S Wu, Y Xu, Y Liu, C Qiu… - Journal of Atmospheric …, 2021 - Elsevier
Recent years have witnessed a growing interest in using GNSS observations to detect
heavy precipitation. In this study, a neural network-based (NN-based) approach taking …

Neural network approach to forecast hourly intense rainfall using GNSS precipitable water vapor and meteorological sensors

P Benevides, J Catalao, G Nico - Remote Sensing, 2019 - mdpi.com
This work presents a methodology for the short-term forecast of intense rainfall based on a
neural network and the integration of Global Navigation and Positioning System (GNSS) and …