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
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
How tropical Pacific surface cooling contributed to accelerated sea ice melt from 2007 to 2012 as ice is thinned by anthropogenic forcing [PDF]
Over the past 40 years the Arctic sea ice minimum in September has declined. The period between 2007 and 2012 showed accelerated melt contributed to the record minima of 2007 and 2012.
Baxter, Ian
core
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
Fifteen size‐resolved aerosol samples collected during marine fog, with adjacent ambient observations, show that coarse sea salt aerosol is rapidly grown and lost in the northwest North Atlantic Ocean except when subject to extreme winds. The persistence of fog in the absence of sea salt is determined by available fine‐mode aerosol, where greater ...
Leyla Salehpoor +10 more
wiley +1 more source
Polar‐low track prediction using machine‐learning methods
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
Sensitivity of North American monsoon rainfall to multisource sea surface temperatures in MM5 [PDF]
In this article, four continually processed sea surface temperature (SST) datasets, including the Reynolds SST (RYD), the global final analysis of skin temperature at oceans (FNL), and two Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua SSTs ...
Gao, X, Li, J, Maddox, RA, Sorooshan, S
core
Simulating the influence of sea-surface-temperature (SST) on tropical cyclones over South-West Indian ocean, using the UEMS-WRF regional climate model [PDF]
Chibueze N. Oguejiofor +1 more
openalex +1 more source
Microphysics and interactions of aerosols and fog on the northwest Atlantic Ocean
In the Grand Banks, aerosol size distributions were bimodal, aerosol and fog droplet concentrations were low, and fogs were shorter (<12 hours). In contrast, near Sable Island, aerosol size distributions had a single broad mode that was likely influenced by continental emissions, corresponding with higher aerosol and droplet concentrations as well as ...
Gianina Giacosa +11 more
wiley +1 more source
Global Warming and Mass Extinctions Associated With Large Igneous Province Volcanism
Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
David P. G. Bond, Yadong Sun
wiley +1 more source

