Results 231 to 240 of about 557,364 (312)

An Interoperable Vaccine Record: A Roadmap to Realization. [PDF]

open access: yesVaccines (Basel)
Jing X   +9 more
europepmc   +1 more source

Exceptionally poor and good medium‐range forecasts of the large‐scale circulation over Europe in ERA5 reforecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This study investigates year‐round exceptionally poor and good day‐6 forecasts of the 500‐hPa geopotential height field over Europe using 45 years of ERA5 reforecasts and applies a weather regime perspective to analyse large‐scale pattern evolution and regime transitions.
Seraphine Hauser   +4 more
wiley   +1 more source

Sedentary Behavior Interventions in COPD: A Scoping Review of Strategies, Behavior Change Techniques, and Device-Measured Outcomes. [PDF]

open access: yesInt J Chron Obstruct Pulmon Dis
Fang P   +10 more
europepmc   +1 more source

Quantifying driving ensemble influence on operational convection‐permitting ensemble spread

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
By comparing statistics of precipitation patterns between a convection‐permitting ensemble and the global ensemble used to drive it, we investigate the conditions under which the convection‐permitting ensemble diverges from the evolution of the driving ensemble.
Adam Gainford   +4 more
wiley   +1 more source

Modulation of North Atlantic atmospheric rivers by the Gulf Stream

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Gulf Stream ocean variability plays a key role in modulating atmospheric river (AR) activity over the North Atlantic during winter and spring at monthly time‐scales. Increased ocean heat transport and mesoscale activity in the Gulf Stream are linked to northward shifts in ARs, while stronger surface heat fluxes drive ARs southward.
Ferran Lopez‐Marti   +3 more
wiley   +1 more source

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang   +4 more
wiley   +1 more source

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