Results 181 to 190 of about 14,366 (306)

Collapses of Hemispheric Available Potential Energy

open access: yesGeophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract The atmospheric circulation in the midlatitudes is maintained against dissipation by converting available potential energy (APE) into kinetic energy (KE). During boreal winter this energy reservoir occasionally collapses, releasing up to 10% of hemispheric APE within days.
Marc Federer   +3 more
wiley   +1 more source

Microfibers Accumulation within a Mediterranean Submesoscale Cyclone. [PDF]

open access: yesEnviron Sci Technol
Testa G   +11 more
europepmc   +1 more source

Joint Influence of Supportive and Unsupportive Environmental Conditions on Tropical Cyclone Rapid Intensification in Two HighResMIP Simulations

open access: yesGeophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract Tropical cyclone (TC) rapid intensification (RI) is driven by complex interactions of TCs with multiple environmental factors. Using observations and two HighResMIP models (CNRM‐CM6‐1‐HR and HadGEM3‐GC31‐HM) that better simulate TCRI, we examine how six environmental factors jointly influence TCRI.
Jihong Moon   +4 more
wiley   +1 more source

Monitoring of the Transient Sea Level Variations Associated With Hurricane‐Induced Storm Surges by GNSS‐IR

open access: yesGeophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract As global climate change intensifies, hurricane‐induced storm surges are becoming more frequent and severe. While Global Navigation Satellite System‐Interferometric Reflectometry (GNSS‐IR) is widely used to monitor sea level variations, its capability to detect rapid and extreme events remains limited.
Xin Chang   +8 more
wiley   +1 more source

Pacific decadal oscillation causes fewer near-equatorial cyclones in the North Indian Ocean. [PDF]

open access: yesNat Commun, 2023
Roose S   +8 more
europepmc   +1 more source

Advancing Convective Precipitation Nowcasting via 3D Polarimetric Radar Data and Physics‐Constrained Deep Learning Model

open access: yesGeophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract Accurate nowcasting of severe convective precipitation is critical for early warning yet still remains challenging. Although deep learning methods show promise, most models lack physical constraints, limiting their consistency with atmospheric processes.
Xiang Pan   +5 more
wiley   +1 more source

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