Results 191 to 200 of about 2,125 (287)

Nitric Oxide Intensification Associated With STEVE: TIMED/SABER‐REGO Observations and Comparison With GITM Simulation

open access: yesAGU Advances, Volume 7, Issue 3, June 2026.
Abstract Strong Thermal Emission Velocity Enhancement (STEVE) is a nightsky optical phenomenon of great research interest in recent years. STEVE is recognized to be co‐located with a latitudinally narrow channel of fast westward ion drifts, also known as “subauroral ion drifts” (SAID).
Jun Liang   +7 more
wiley   +1 more source

Multidisciplinary Investigation of Healy Submarine Volcano (Kermadec Arc, New Zealand) Using AUV and Submersible Data: Structural Control on Magmatic and Hydrothermal Processes

open access: yesGeochemistry, Geophysics, Geosystems, Volume 27, Issue 6, June 2026.
Abstract We present a comprehensive multidisciplinary investigation of the Healy submarine volcano in the southern Kermadec arc, northeast of New Zealand. We show the first results of sidescan‐sonar data collected at a submarine arc volcano by an Autonomous Underwater Vehicle (AUV).
A. Bagnasco   +6 more
wiley   +1 more source

Dynamics off the Congo River and Its Impact on the Water Exchange Between the Coastal and Open Ocean at Different Timescales

open access: yesJournal of Geophysical Research: Oceans, Volume 131, Issue 6, June 2026.
Abstract The Congo River represents one of the largest freshwater discharges in the Atlantic Ocean. In this study, we investigate the role of mesoscale and submesoscale dynamics in modulating salinity transport, using a 3 km‐resolution realistic numerical simulation.
C. Cardot   +10 more
wiley   +1 more source

A Deep Ensemble Transformer Model for Global Ionosphere Prediction and Uncertainty Quantification

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate global ionospheric forecasting is important for various purposes, from geophysical research to practical applications, including real‐time precise positioning and navigation. Existing studies primarily focus solely on deterministic predictions and often overlook uncertainty quantification.
Shuyin Mao, Junyang Gou, Benedikt Soja
wiley   +1 more source

Advancing Tropical Cyclone Intensity Forecasts Over the South China Sea With a Meteorology‐Aware and Attention‐Enhanced Deep Learning Model

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate tropical cyclone (TC) intensity (TCI) prediction is critical for effective disaster preparedness. Although machine learning‐based weather prediction models demonstrate strong performance in simulating TC tracks, their TCI predictions show systematic biases.
Yuan Tang   +10 more
wiley   +1 more source

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