Results 121 to 130 of about 82,380 (218)

Spatio-temporal modelling of COVID-19 infection and associated risk factors in Dakar, Senegal. [PDF]

open access: yesPLOS Glob Public Health
Gadiaga AN   +11 more
europepmc   +1 more source

Intensity dependence of El Niño and La Niña evolution and mixed‐layer heat‐budget processes

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

Bivariate postprocessing of wind vectors

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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]

open access: yesBMC Infect Dis
Khodadoust B   +4 more
europepmc   +1 more source

Modulation of wind drag by tidal currents in an embayment

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

Forecast‐Error Diagnostics in Neural Weather Models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

A framework to evaluate and identify development requirements for land‐surface models at km‐scale resolution: Application to a semi‐arid and mountainous region

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

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