Results 201 to 210 of about 89,931 (247)

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

A review of microplastic contamination in the cryosphere. [PDF]

open access: yesiScience
Qayoom I   +5 more
europepmc   +1 more source

Reconstructing East Antarctic Temperature and Snowfall Variability from δ15N of N2

open access: yes
Bouchet M   +16 more
europepmc   +1 more source

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