Results 231 to 240 of about 97,145 (309)
Cognitive Mechanisms of Predictive Processing in Chinese Reading: An Eye-Movement Analysis Based on the Ex-Gaussian Distribution. [PDF]
Tong W, Li X, Liu Y, Liu Z.
europepmc +1 more source
Modulation of wind drag by tidal currents in an embayment
Tidal currents modulate how wind energy enters the surface wave field by influencing both wave drag and wave generation. In Shark Bay, following currents reduce effective wave steepness and wind drag, and opposing currents enhance wave growth. Wind energy is partitioned between wave drag and the creation of new waves, explaining observed tidal ...
Stephen M. Thurgate +1 more
wiley +1 more source
Optimal choice of proxy for cloud condensation nuclei reduces uncertainty in aerosol-cloud-climate forcing. [PDF]
Jia H +7 more
europepmc +1 more source
In this study, the synoptic conditions for modes of mesoscale convective systems (MCSs) in South Korea are generalized based on composite analysis. The preferred precipitation region, synoptic patterns, moisture transport, sea surface temperature and thermodynamic and dynamic instabilities are characterized according to four modes: convective cells (CC)
Jeong‐Eun Lee, GyuWon Lee
wiley +1 more source
High-resolution assessment of wind energy resources over the Arabian Peninsula. [PDF]
Gandham H +3 more
europepmc +1 more source
We investigate whether Central European heatwaves (HWs) forming under omega blocking differ from those enabled by subtropical ridges, in terms of both air‐mass origin and processes warming air parcels along their way. Using ERA5‐based backward trajectories and a Lagrangian temperature anomaly decomposition, we identify significant differences in the ...
Alexander Lemburg +3 more
wiley +1 more source
Model simulations capture seasonal Arctic Haze and clean-air cycle better than satellite and reanalysis. [PDF]
Swain B +11 more
europepmc +1 more source
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
Role of Atlantic multidecadal variability in modulating Arctic sea ice loss and wetting. [PDF]
Cai Z +12 more
europepmc +1 more source
Abstract The presence of Arctic clouds plays a crucial role in the evolution of the surface temperature of Arctic sea ice. However, large biases in cloud representation remain in state‐of‐the‐art weather and climate models. In this study, we use observational data from the one‐year Arctic ship campaign Multi‐disciplinary drifting Observatory for the ...
Luise Schulte +5 more
wiley +1 more source

