5 papers · 1 filter
Reconstructing Pre-Satellite Tropical Cyclogenesis Climatology Using Deep Learning
Chanh Kieu, Thanh T. N. Nguyen, Duc-Trong Le +7
A reliable tropical cyclone (TC) climatology is the key to assessing historical and future changes in TC activities. While global TC records have been systematically maintained sin…
Retrieving Tropical Cyclone Intensity from Climate Reanalysis using Deep Learning
Minh-Khanh Luong, Chanh Kieu
Traditional methods for improving tropical cyclone (TC) intensity from climate model outputs or projections have primarily relied on either dynamical or statistical downscaling. Wi…
Deep Learning Reconstruction of Tropical Cyclogenesis in the Western North Pacific from Climate Reanalysis Dataset
Duc-Trong Le, Tran-Binh Dang, Anh-Duc Hoang Gia +8
This study presents a deep learning (DL) architecture based on residual convolutional neural networks (ResNet) to reconstruct the climatology of tropical cyclogenesis (TCG) in the…
NWP-based deep learning for tropical cyclone intensity prediction
Chanh Kieu, Khanh Luong, Tri Nguyen
Global artificial intelligence (AI) models are rapidly advancing and beginning to outperform traditional numerical weather prediction (NWP) models across metrics, yet predicting re…
Predictability of Global AI Weather Models
Chanh Kieu
This study examines the predictability of artificial intelligence (AI) models for weather prediction. Using a simple deep-learning architecture based on convolutional long short-te…