Results 231 to 240 of about 178,490 (309)

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

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

Northern migration patterns and winter habitat use of hooded cranes (Grus monacha) in Suncheon Bay, South Korea. [PDF]

open access: yesBMC Ecol Evol
Jeong YH   +8 more
europepmc   +1 more source

Enabling Under Ice Glider Operations: A Backseat Driver Approach

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Polar Oceans are key locations for forcing global ocean circulation, influencing both global climate and biogeochemical cycles. Due to restricted access to these seasonally and perennially ice‐covered regions, these areas are severely undersampled.
Yaomei Wang   +12 more
wiley   +1 more source

Engineered Gravel Trench Hyporheic Exchange to Create Cold‐Water Thermal Refuges

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Warming rivers are driving a loss or fragmentation of cold‐water habitat and providing the impetus to develop proactive thermal management approaches to maintain suitable habitat in rivers. One innovative approach is through the creation of cold‐water thermal refuges during periods of thermal stress for aquatic species.
Kathryn A. Smith   +3 more
wiley   +1 more source

A Tool for Prioritizing Gravel Augmentation Reaches for Sediment Starved Rivers

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Gravel augmentation is a widely used restoration technique used to improve habitat below dams, including salmonids spawning habitat. However, gravel augmentation can be cost‐prohibitive, and it is often unclear which stream segments have the highest potential to benefit spawning salmonids.
Patricia J. Wohner   +2 more
wiley   +1 more source

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