In the past decades, the increasing ocean-research-oriented satellites, sensors, acquisition,
and distribution channels have brought new tasks and challenges to mine information from …

Extreme weather events pose significant challenges, thereby demanding techniques for
accurate analysis and precise forecasting to mitigate its impact. In recent years, deep …

It is very crucial to identify the intensity of tropical cyclone (TC) accurately. In this article, a
novel TC intensity estimation method is proposed to estimate the TC intensity from …

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) …

Tropical cyclones (TCs) are the most destructive weather systems that form over the tropical
oceans, with about 90 storms forming globally every year. The timely detection and tracking …

In this study, an attention U-net network was proposed to reconstruct the subsurface
temperature (ST) field with high temporal and spatial resolution in the South China Sea …

Estimating the intensity of tropical cyclones (TCs) is usually involved as a critical step in
studies on TC disaster warnings and prediction. Satellite cloud images (SCIs) are one of the …

A typhoon is a destructive weather system that can cause severe casualties and economic
losses. Typhoon intensity (TI) is a measurement to evaluate its ruinous degree. Hence …

This study developed a deep-learning-based model to retrieve sea surface hurricane winds
from synthetic aperture radar (SAR) imagery. We introduce the essential idea, residual …

Satellite ocean color products have been widely used to monitor spatiotemporal variations in
marine ecological environments from regional to global oceans. However, current satellite …