Results 121 to 130 of about 82,380 (218)
Spatio-temporal modelling of COVID-19 infection and associated risk factors in Dakar, Senegal. [PDF]
Gadiaga AN +11 more
europepmc +1 more source
Intensity dependence of El Niño and La Niña evolution and mixed‐layer heat‐budget processes
El Niño–Southern Oscillation (ENSO) intensity modulates the spatial, temporal, and dynamical evolution of events strongly. El Niño SST anomalies shift westward with decreasing intensity, while La Niña anomalies remain spatially fixed. Stronger events initiate earlier and persist longer than weak events.
Parya Adibi +3 more
wiley +1 more source
Moving from table to graph in physics-informed spatio-temporal symbolic regression. [PDF]
Lazebnik T, Liberzon A.
europepmc +1 more source
Bivariate postprocessing of wind vectors
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner +3 more
wiley +1 more source
Spatio-temporal analysis of tuberculosis prevalence in Iran. [PDF]
Khodadoust B +4 more
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
LiDAR-Free 3D Auto-Labeling via Radar-Visual Spatio-Temporal Consistency. [PDF]
Zhu B, Hu Z, Lu Z.
europepmc +1 more source
Forecast‐Error Diagnostics in Neural Weather Models
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan +2 more
wiley +1 more source
Controlling Spatio-Temporal Sequences of Neural Activity by Local Synaptic Changes. [PDF]
Wernecke HO, Lehr AB, Kumar A.
europepmc +1 more source
This article provides a first evaluation of land‐surface models at the km‐scale resolutions at which they are used in weather and Earth‐system models. At these resolutions, the lateral transfers of water that organize landscapes play an important role in predicting evaporation correctly. Riparian processes and human water management for irrigation need
Jan Polcher +13 more
wiley +1 more source

