Results 221 to 230 of about 340,067 (302)

Assimilation of machine‐learning‐predicted nitrate to improve the quality of phytoplankton forecasting in the shelf‐sea environment

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This article demonstrates that assimilating machine‐learning‐derived surface nitrate can improve five‐day phytoplankton forecast substantially within the Met Office operational system for the Northwest European Shelf. We explain the reasons behind this improvement and propose that an online system where machine learning and data assimilation are cycled
Deep S. Banerjee   +2 more
wiley   +1 more source

A review of the FATIMA Yellow Sea field campaign research

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The FATIMA marine fog project took place over the Sable Island region of eastern Canada (summer 2022) and the Yellow Sea of the Republic of Korea (ROK, summer 2023). Its goals are to improve marine fog monitoring and forecasting. Instrumented multiple research vessels, aircraft, tethered balloon and autonomous systems, ocean observation sites, and ...
Seok Lee   +50 more
wiley   +1 more source

A new smoother method for treating different timescales in variational data assimilation for coupled systems

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We propose a new method for treating different timescales in coupled variational data assimilation for atmosphere–ocean models. The approach involves a series of short‐window coupled assimilations (red arrows in the schematic) followed by a long‐window correction to the ocean fields (blue arrow).
Amos S. Lawless   +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

An opportunity index to anticipate when subseasonal predictions are useful

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Simultaneously active subseasonal windows of forecast opportunity can be combined into a single opportunity index, which can be used operationally to anticipate enhanced or reduced subseasonal prediction skill. For predictions of temperature anomalies in Switzerland during summer—a region and season with particularly low predictability—skill can nearly
Dominik Büeler   +4 more
wiley   +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

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