Results 181 to 190 of about 1,344 (260)

Large-scale circulation shapes the spatial organization of anomalous precipitation over Northern Jiangsu. [PDF]

iScience
Xu Y, Fang H, Zhao W, Zhang J, Ma S, Zhou C, Shi M.   +6 more
europepmc   +1 more source

Mesoscale Modeling of Titan’s Shangri‐La Region: The Impact of Surface Properties on Winds

Journal of Geophysical Research: Planets, Volume 131, Issue 10, October 2026.
Abstract The knowledge of Titan’s near‐surface atmosphere is sparse. The Huygens descent probe measured winds, and the multiple dune field observations and possible dust storms suggest active near‐surface dynamics. The Dragonfly rotorcraft lander will fly close to the surface in the Shangri‐La region, near the Huygens landing site, where complex dune ...
Maxence Lefèvre, Léa E. Bonnefoy, Aymeric Spiga, Bruno de Batz de Trenquelléon, Sébastien Lebonnois, Alexander G. Hayes   +5 more
wiley   +1 more source

Simulation study of low-level disturbances affecting near surface inversion events in Urumqi. [PDF]

Sci Rep
Cai R, Yang X, Zhao K.
europepmc   +1 more source

Fast and Scalable Air Quality Neural Emulator for High‐Resolution Predictions on Very Large Domains

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract This research explores the development and implementation of SIRANet, an advanced deep learning‐based emulator designed for fine‐scale air quality modeling. Leveraging the computational efficiency of neural networks, SIRANet builds upon the established SIRANE atmospheric pollution modeling framework.
Maxime Beauchamp, Vincent Lécluse, Nicolas Thorr, Anas Oubida, Charles Schillinger, Florent Vasbien, Jérôme Le Paih   +6 more
wiley   +1 more source

High-resolution modeling of extreme heat events with socioeconomic consideration: a real-case WRF-LES approach. [PDF]

Environ Sci Pollut Res Int
Golbazi M, Liu F, Chen YH, Juliano TW, Richter H.   +4 more
europepmc   +1 more source

Deep Learning‐Based Statistical Downscaling of Sea Surface Temperature Using a Residual Corrective Neural Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract The large‐scale oceanic and atmospheric forecasts provided by global climate models typically lack sufficient resolution to accurately capture the response of the coastal ocean to atmospheric forcing and coastal circulation that drive fine‐scale sea surface temperature (SST) variability.
O. Jadhav, T. French, I. Janekovic, N. Jones, M. Rayson   +4 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

Downscaling of Tropical Cyclone Surface Wind Fields With a Hybrid Attention Transformer

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract This study employs a Hybrid Attention Transformer‐based super‐resolution model to reconstruct tropical cyclone (TC) surface wind fields. The model downscales coarse‐resolution ERA5 reanalysis data to high‐resolution HWind analyses (1998–2013), increasing the horizontal resolution by a factor of five.
Chunhua Wang, Dazhi Xi, Na He, Shuai Wang, Kekuan Chu   +4 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