Results 171 to 180 of about 1,316 (257)

Observations of High‐Frequency Internal Waves Near Submesoscale Fronts

Journal of Geophysical Research: Oceans, Volume 131, Issue 8, August 2026.
Abstract Nonlinear high‐frequency internal waves (HIWs) can occur at oceanic frontal interfaces but are rarely observed directly. This study presents field observations of HIWs near submesoscale fronts (SFs) in the northern Gulf of Mexico. A marine X‐band radar detected a series of organized bands, with a spacing of 50 ∼ 300 m, near SFs.
Mingming Shao, Brian K. Haus, Jody M. Klymak, Björn Lund, Ruben Carrasco, Jochen Horstmann, Darek Bogucki, Tamay M. Özgökmen, Jun A. Zhang   +8 more
wiley   +1 more source

A low-latency deep learning framework for volcanic ash cloud nowcasting using geostationary satellite imagery. [PDF]

Sci Rep
Alves D, Radeta M, Mendonça F, Pereira L, Morgado-Dias F.   +4 more
europepmc   +1 more source

One‐Year Long ADCP Data Reveal the Influence of Tides, Winds, and Coastal‐Trapped Waves on the Deep Cross‐Slope Transport in a Submarine Trench

Journal of Geophysical Research: Oceans, Volume 131, Issue 8, August 2026.
Abstract Submarine canyons and trenches are the main pathways for transport of water, sediments, and nutrients across the continental slope. In the North Sea, transport across the slope and into the Norwegian Sea is confined to the Norwegian Trench (NT).
A. Enge, J. D. Pietrzak, F. Mienis, B. C. van Prooijen   +3 more
wiley   +1 more source

Asymmetric global urban cooling potential demands accelerated and context-specific actions. [PDF]

Nat Commun
Ding X, Fan Y, Zhao Y, Ürge-Vorsatz D, Ge J, Carmeliet J.   +5 more
europepmc   +1 more source

Improving Extreme Precipitation Forecasts via Cascade Binary Classification With Diffusion Post‐Processing

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Accurate forecasting of extreme precipitation remains a critical challenge, owing to its heavy‐tailed distribution and severe class imbalance that limit conventional deep learning approaches. This study presents a two‐stage cascade‐diffusion framework for extreme precipitation forecasting over eastern China (110°–130°E, 20°–40°N).
Leyan Dai, Huiling Yuan, Yiheng Liu, Xinyue Li, Xuanhao Gu, Jiajun Li, Yang Zhao   +6 more
wiley   +1 more source

Mesoscale eddies drive complex, large-scale three-dimensional biochemical variability in the mixed layer of a large lake (Lake Geneva)

Hamze-Ziabari SM, Lemmin U, Barry DA.
europepmc   +1 more source

Toward a mechanistic characterisation of marine heatwaves. [PDF]

Sci Rep
Zhao Z, Holbrook NJ, Capotondi A, Cravatte S, Kajtar JB, Gupta AS, Behrens E, Doblin MA, Feng M, Kiss AE, Spillman CM.   +10 more
europepmc   +1 more source

Disentangling Spatial‐Temporal Features for Controllable Factors Learning in Precipitation Nowcasting

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Precipitation nowcasting refers to the high‐resolution forecasting of rainfall and hydrometeors within 0–6 hr according to the official definition of the World Meteorological Organization, which has relied on numerical models for decades. Recently, artificial intelligence (AI) has shown promise in addressing precipitation nowcasting.
Nan Yang, Chong Wang, Ruikai Yang, Xiaofeng Li   +3 more
wiley   +1 more source

Persistent Lagrangian transport patterns in the Black Sea identified from climatological Lagrangian Coherent Structures. [PDF]

Sci Rep
Gouveia MB, Peneva E, Gancheva I, Stanev EV.   +3 more
europepmc   +1 more source

Global Subseasonal‐to‐Seasonal Marine Heatwave Forecasts Boosted by Explainable Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Marine heatwaves (MHWs) pose increasing risks to marine ecosystems and climate‐sensitive activities. Subseasonal‐to‐seasonal (S2S) MHW forecasts are essential for early warning, yet dynamical prediction systems show limited reliability. Here, we present MHWCorrNet, an interpretable deep learning‐based post‐processing framework for ECMWF IFS ...
Minghui Guo, Kang Xu, Lei Zhang, Weiqiang Wang   +3 more
wiley   +1 more source