Results 221 to 230 of about 8,971 (314)

Wind‐Induced Coastal Upwelling Off Southeast Japan Supplying Surface Nutrients to the Kuroshio Downstream

Journal of Geophysical Research: Oceans, Volume 131, Issue 4, April 2026.
Abstract Wind‐induced coastal upwelling plays a significant role in ocean circulations and ecosystems. Although coastal upwelling along eastern boundaries by trade winds is well known, coastal upwelling along western boundaries and its effects in the North‐East Pacific Ocean have not been well investigated in previous studies.
Eiji Masunaga, Yusuke Uchiyama, Xu Zhang
wiley   +1 more source

Sleep deprivation alters hippocampal dendritic spines in a contextual fear memory engram. [PDF]

Sci Rep
Tennin M, Matkins HT, Rexrode L, Bollavarapu R, Pareek T, Kroeger D, Pantazopoulos H, Gisabella B.   +7 more
europepmc   +1 more source

DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp370 - Dehesas(Spain) and Montados(Portugal)(EURAF)

DISTENDER, Foundation for Climate Researh   +1 more
openalex   +1 more source

Estimating Mediterranean Cyclone Activity via Explainable Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Intense cyclones in the Mediterranean drive most of the region's rainfall and wind‐wave extremes, exerting a significant socio‐economic impact. Currently there are no established analytical tools for estimating Mediterranean cyclone activity from climatological fields.
Guido Ascenso, Luca Proserpio, Leone Cavicchia, Enrico Scoccimarro, Matteo Giuliani, Andrea Castelletti   +5 more
wiley   +1 more source

Regional climate projections using a deep-learning-based model-ranking and downscaling framework: application to European climate zones. [PDF]

Environ Sci Pollut Res Int
Loganathan P, Zea E, Vinuesa R, Otero E.
europepmc   +1 more source

DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model EC-EARTH3, scenario ssp245 - Dehesas(Spain) and Montados(Portugal)(EURAF)

DISTENDER, Foundation for Climate Researh   +1 more
openalex   +1 more source

Efficient Kilometer‐Scale Precipitation Downscaling With Conditional Wavelet Diffusion

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Precipitation products such as Integrated Multi‐satellitE Retrievals have coarse resolution (∼10 ${\sim} 10$ km), which limits their application in hydrological modeling and extreme weather analysis. We propose the Wavelet Diffusion Model (WDM), a fast generative framework for high‐quality precipitation downscaling trained on multi‐radar multi‐
Chugang Yi, Minghan Yu, Weikang Qian, Yixin Wen, Haizhao Yang   +4 more
wiley   +1 more source

AI for atmosphere-ocean sciences: advancements, challenges and ways forward. [PDF]

Natl Sci Rev
Luo JJ, Xia J, Pan B, Ham YG, Li X, Shangguan W, Xue W, Wang Y, Mu B, Hong Y, Li H, Zhong X, Dai K, Bai L, Ling F, Boers N, Bretherton C, Chen B, Cho D, Gentine P, Guo Z, Huang X, Kang D, Kim HJ, Kim JH, Lei L, Meng F, Oh SH, Qin B, Shen Z, Sun Q, Tang Y, Tong X, Wan B, Wang L, Wang Y, Wang Y, Wu J, Xiao Y, Yao L, Yang S, Yuan C, Yuan S, Yu T, Zhao M.   +44 more
europepmc   +1 more source

DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D1, Vertical level sfc, Global model EC-EARTH3, scenario ssp585 - The Metropolitan City of Turin (CMTo, Italy)

DISTENDER, Foundation for Climate Researh   +1 more
openalex   +1 more source

Leveraging Atmospheric Information Across Scales for Local Temperature Forecasting Using a Novel Multi‐Scale Perception Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Regional weather forecasting systems typically depend on boundary conditions from global models to represent large‐scale atmospheric processes, while such coupling increases complexity and hinders end‐to‐end optimization for specific target locations. Here, we propose the Multi‐scale Perception Network (MPN), a unified deep learning model that
Han Wang, Yilin Chen, Jiachuan Yang
wiley   +1 more source