Pathways and challenges of the application of artificial intelligence to geohazards modelling

A Dikshit, B Pradhan, AM Alamri - Gondwana Research, 2021 - Elsevier
The application of artificial intelligence (AI) and machine learning in geohazard modelling
has been rapidly growing in recent years, a trend that is observed in several research and …

Satellite all-sky infrared radiance assimilation: Recent progress and future perspectives

J Li, AJ Geer, K Okamoto, JA Otkin, Z Liu… - … in Atmospheric Sciences, 2022 - Springer
Satellite infrared (IR) sounder and imager measurements have become one of the main
sources of data used by data assimilation systems to generate initial conditions for …

[HTML][HTML] All-sky infrared radiance data assimilation of FY-4A AGRI with different physical parameterizations for the prediction of an extremely heavy rainfall event

D Xu, X Zhang, Z Liu, F Shen - Atmospheric Research, 2023 - Elsevier
Abstract The Fengyun-4A (FY-4A) Advanced Geostationary Radiation Imager (AGRI) allows
for high-spatiotemporal-resolution observations of the local severe weather systems. The …

Development and interpretation of a neural-network-based synthetic radar reflectivity estimator using GOES-R satellite observations

KA Hilburn, I Ebert-Uphoff… - Journal of Applied …, 2020 - journals.ametsoc.org
Development and Interpretation of a Neural-Network-Based Synthetic Radar Reflectivity
Estimator Using GOES-R Satellite Observations in: Journal of Applied Meteorology and …

Impacts of FY-4A AGRI radiance data assimilation on the forecast of the super typhoon “in-fa”(2021)

X Zhang, D Xu, R Liu, F Shen - Remote Sensing, 2022 - mdpi.com
This study assessed the impact of assimilating the Fengyun-4A (FY-4A) Advanced
Geosynchronous Radiation Imager (AGRI) observations on the Super Typhoon “In-Fa” event …

Comparison of assimilating all‐sky and clear‐sky infrared radiances from Himawari‐8 in a mesoscale system

K Okamoto, Y Sawada, M Kunii - Quarterly Journal of the Royal …, 2019 - Wiley Online Library
This study examines the advantages of infrared all‐sky radiance (ASR) assimilation over
traditional clear‐sky radiance (CSR) assimilation using a mesoscale LETKF data …

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] Simultaneous assimilation of radar and all-sky satellite infrared radiance observations for convection-allowing ensemble analysis and prediction of severe …

Y Zhang, DJ Stensrud, F Zhang - Monthly Weather Review, 2019 - journals.ametsoc.org
Simultaneous Assimilation of Radar and All-Sky Satellite Infrared Radiance Observations for
Convection-Allowing Ensemble Analysis and Prediction of Severe Thunderstorms in: Monthly …

A convective‐scale 1,000‐member ensemble simulation and potential applications

T Necker, S Geiss, M Weissmann, J Ruiz… - Quarterly Journal of …, 2020 - Wiley Online Library
This study presents the first convective‐scale 1,000‐member ensemble simulation over
central Europe, which provides a unique data set for various applications. A comparison with …

Effects of direct assimilation of FY-4A AGRI water vapor channels on the Meiyu heavy-rainfall quantitative precipitation forecasts

Z Niu, L Zhang, P Dong, F Weng, W Huang, J Zhu - Remote Sensing, 2022 - mdpi.com
In this study, the regional Weather Research and Forecasting model (WRF)-based
quantitative precipitation forecasts (QPFs) are conducted for an extreme Meiyu rainfall event …