Results 151 to 160 of about 24,422 (290)

Intensified tropical cyclone activity in East Asia during the Maunder (solar) Minimum. [PDF]

open access: yesProc Natl Acad Sci U S A
Lin KE   +6 more
europepmc   +1 more source

Physically Consistent Tropical Cyclone Monitoring From Infrared Satellite Imagery via Knowledge‐Guided Deep Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Tropical cyclones (TCs) pose significant threats to coastal communities and ecosystems underscoring the need for accurate and timely monitoring of their structure and intensity. Although satellite infrared (IR) imagery provides continuous global coverage, traditional methods for estimating TC parameters, such as center location, intensity, and
Chong Wang, Xiaofeng Li
wiley   +1 more source

Effects of tropical cyclone Jasper at Low Island, northern Great Barrier Reef. [PDF]

open access: yesCamb Prism Coast Futur
Muecke H   +4 more
europepmc   +1 more source

Introduction

open access: yes
The Depositional Record, Volume 12, Issue 1, February 2026.
Lee R. Kump   +2 more
wiley   +1 more source

PrecipFusionNet: A Unified Deep Learning Model for Improving Numerical Precipitation Prediction

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Numerical weather prediction (NWP) often suffers from substantial biases when forecasting extreme rainfall. Traditional corrections tend to underuse spatial information, while deep learning approaches typically struggle with data imbalance for rare events.
Ziyi Zhang, Huiling Yuan
wiley   +1 more source

SynQPF‐Net: Short‐Term Precipitation Forecasts by Integrating GraphCast Predictions and High‐Resolution Observational Analyses

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract While data‐driven global weather models (e.g., GraphCast) excel at large‐scale circulation forecasts, they exhibit systematic biases in heavy precipitation prediction due to European Centre for Medium‐Range Weather Forecasts Reanalysis (ERA5) uncertainties and neural networks' tendency to over‐smooth rainfall fields.
Dandan Chen, Dan Yao, Yaqiang Wang
wiley   +1 more source

Future North Atlantic tropical cyclone intensities in modified historical environments. [PDF]

open access: yesSci Data
Lalo N   +10 more
europepmc   +1 more source

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