Assimilation of the FY-4A AGRI clear-sky radiance data in a regional numerical model and its impact on the forecast of the “21· 7” Henan extremely persistent heavy …

L Xu, W Cheng, Z Deng, J Liu, B Wang, B Lu… - … in Atmospheric Sciences, 2023 - Springer
Abstract Assimilation of the Advanced Geostationary Radiance Imager (AGRI) clear-sky
radiance in a regional model is performed. The forecasting effectiveness of the assimilation …

Assimilating all-sky infrared radiances from Himawari-8 using the 3DVar method for the prediction of a severe storm over North China

D Xu, Z Liu, S Fan, M Chen, F Shen - Advances in Atmospheric Sciences, 2021 - Springer
Although radar observations capture storm structures with high spatiotemporal resolutions,
they are limited within the storm region after the precipitation formed. Geostationary satellites …

[HTML][HTML] Tropical cyclone intensity estimation using Himawari-8 satellite cloud products and deep learning

J Tan, Q Yang, J Hu, Q Huang, S Chen - Remote Sensing, 2022 - mdpi.com
This study develops an objective deep-learning-based model for tropical cyclone (TC)
intensity estimation. The model's basic structure is a convolutional neural network (CNN) …

Real-time GNSS-derived PWV for typhoon characterizations: A case study for super typhoon Mangkhut in Hong Kong

Q He, K Zhang, S Wu, Q Zhao, X Wang, Z Shen, L Li… - Remote sensing, 2019 - mdpi.com
Typhoons can be serious natural disasters for the sustainability and development of society.
The development of a typhoon usually involves a pre-existing weather disturbance, warm …

Impact of rapid‐scan‐based dynamical information from GOES‐16 on HWRF hurricane forecasts

J Li, J Li, C Velden, P Wang, TJ Schmit… - Journal of Geophysical …, 2020 - Wiley Online Library
Observations of dynamical information in the upper levels of tropical cyclones at high
spatiotemporal resolutions are rare but very important to the analysis and prediction of the …

A new typhoon-monitoring method using precipitation water vapor

Q Zhao, X Ma, W Yao, Y Yao - Remote Sensing, 2019 - mdpi.com
Some seasonal natural floods can be attributed to typhoons that bring a large amount of
atmospheric water vapor, and variations in atmospheric water vapor can be reflected in the …

Assessment and calibration of FY-4A AGRI total precipitable water products based on CMONOC

X Liu, Y Wang, J Huang, T Yu, N Jiang, J Yang… - Atmospheric …, 2022 - Elsevier
Abstract FengYun 4A (FY-4A) is the first flight unit of the second-generation geostationary
meteorological satellite in China (FengYun 4 series, FY-4 series). The Advanced …

Classification and prediction of typhoon levels by satellite cloud pictures through GC–LSTM deep learning model

J Zhou, J Xiang, S Huang - Sensors, 2020 - mdpi.com
Typhoons are some of the most serious natural disasters, and the key to disaster prevention
and mitigation is typhoon level classification. How to better use data of satellite cloud …

A New Deep Learning-Assisted Global Water Vapor Stratification Model for GNSS Meteorology: Validations and Applications

W Zhang, J Gou, G Möller, S Zhang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Layer precipitable water (LPW), a water vapor product similar to precipitable water vapor
(PWV), reports partial moisture content within a specified vertical range. Compared with …

Improving forecasts of a record-breaking rainstorm in Guangzhou by assimilating every 10-min AHI radiances with WRF 4DVAR

Y Wu, Z Liu, D Li - Atmospheric Research, 2020 - Elsevier
Abstract On 6 May 2017, a record-breaking warm-sector torrential rainfall (WSTR) event
initiated over Guangzhou city around 1600 UTC and lasted for 20 h. To replicate this rainfall …