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 …

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 …

Detecting heavy rainfall using anomaly-based percentile thresholds of predictors derived from GNSS-PWV

H Li, X Wang, S Choy, C Jiang, S Wu, J Zhang… - Atmospheric …, 2022 - Elsevier
Nowadays, tropospheric products obtained from the Global Navigation Satellite Systems
(GNSS) observations, eg, precipitable water vapor (PWV), have heralded a new era of …

A novel rainfall forecast model using GNSS observations and CAPE in Singapore

Z Liu, Y Wen, X Zhang, M Wang, S Xiao, Y Chen… - Journal of Atmospheric …, 2023 - Elsevier
Precipitable water vapor (PWV) and zenith total delay (ZTD) are highly correlated indicators
used for forecasting rainfall effectively. These two factors are widely used when establishing …

Two-stream convolutional LSTM for precipitation nowcasting

S Chen, X Xu, Y Zhang, D Shao, S Zhang… - Neural Computing and …, 2022 - Springer
Reliable precipitation nowcasting is essential to many fields, which can guide people to
reasonably carry out production activities and respond to rainstorm disasters. However …

Estimation of diurnal-provided potential evapotranspiration using GNSS and meteorological products

H Li, S Choy, X Wang, K Zhang, C Jiang, L Li, X Liu… - Atmospheric …, 2022 - Elsevier
In the context of global warming, extreme drought has seriously endangered the safety of
human lives and assets, indicating an urgent need for its accurate monitoring and early …

Linear and nonlinear GNSS PWV features for heavy rainfall forecasting

F Wu, K Zhang, J Zhao, Y Jin, D Li - Advances in Space Research, 2023 - Elsevier
Heavy rainfall events usually require sufficient water vapor and intense upward movement of
airflow. However, current heavy rainfall prediction models using Global Navigation Satellite …

Water vapor content prediction based on neural network model selection and optimal fusion

X Zhang, Y Zhou, W Zhang, M Kou, B Li, Y Dai… - Journal of …, 2024 - Elsevier
Accurately predicting the evolution of water vapor content has significant practical
engineering implications for accurately determining the timing of artificial rain enhancement …

A novel linear rainfall forecast model based on GNSS observations and CAPE

Z Liu, Q Fan, Q Lv, M Wang, J Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, several models have been extensively investigated for short-term rainfall
forecasts based on global navigation satellite system (GNSS)-derived precipitable water …

改进的GNSS-PWV 三因子阈值降雨预报方法研究

董传凯, 余法承, 张卫星, 方礼喆, 魏康丽… - 武汉大学学报(信息 …, 2023 - ch.whu.edu.cn
大气可降水量(PWV) 在研究大气水汽含量与降雨之间关系的研究中发挥着越来越重要的作用.
基于GNSS PWV 的三因子(PWV, PWV 变化量和PWV 变化率) 阈值的降雨预报方法已经在一些 …