Results 221 to 230 of about 9,559 (293)

A cosmopolitan calcifying benthic foraminifera in agglutinated disguise as a geochemical recorder of coastal environments. [PDF]

open access: yesProc Natl Acad Sci U S A
Sosnitsky T   +8 more
europepmc   +1 more source

Multiscale controls on diurnal convection in the Maritime Continent: Insights from high‐resolution observations in Timika

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Across the Maritime Continent, diurnal rainfall variability is governed by interactions between regional‐scale atmospheric drivers and local land–sea breeze circulations. Afternoon convection is initiated over land by surface heating and propagates offshore, whereas morning rainfall develops over adjacent seas and moves inland under low‐level northerly
Dony Christianto   +3 more
wiley   +1 more source

Extreme erosion and bulking in a giant submarine gravity flow. [PDF]

open access: yesSci Adv
Böttner C   +7 more
europepmc   +1 more source

Evaluation of a stochastically perturbed parametrisations scheme for sea ice in sub‐seasonal forecasts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Overconfident sea ice forecasts pose a challenge in subseasonal prediction. To test a potential way to address this issue and account for sea ice model uncertainty, this article investigates a stochastically perturbed parametrisations (SPP) scheme for sea ice in a prototype CY49R2 configuration of the coupled IFS‐NEMO4‐SI3 system. The results show that
Jonas Spaeth   +7 more
wiley   +1 more source

Attribution of subseasonal cold‐spell forecasts to remote drivers using nudging experiments

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Nudging experiments with the European Centre for Medium‐Range Weather Forecasts (ECMWF) model show that Northern European cold spells can arise from different drivers. Some events are predominantly influenced by stratospheric dynamics, while others also involve important tropospheric processes.
Irene Erner   +3 more
wiley   +1 more source

Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga   +5 more
wiley   +1 more source

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