EERIE at 2
Last month, the EERIE project turned two, reaching the halfway mark – a milestone important enough to gather the whole team and analyse what’s been done and what’s left to …
Machine learning for stochastic parametrization
Atmospheric models used for weather and climate prediction are traditionally formulated in a deterministic manner. In other words, given a particular state of the resolved scale variables, the most likely …
Southern Annular Mode Persistence and Westerly Jet / The fate of freshwater around Greenland
The last Storms, Eddies and Science Hour of 2024 features the following EERIE project scientists and topics: Ting-Chen Chen (UC Louvain): ‘Southern Annular Mode (SAM) Persistence and Westerly Jet: A …
Machine Learning methods used in EERIE
Our 10-minute presentation format Storms, Eddies and Science Hour features the following EERIE project scientists and topics related to Machine Learning methods used in EERIE: Jan-Hendrik Malles (UBREMEN): “Introduction to …
The North Atlantic mean state / Contribution of eddy variability / AMOC at different resolutions
The following EERIE project scientists present the topics below in a Storms, Eddies and Science Hour 10-minute format in a session hosted by Met Office’s Malcolm Roberts, leading up to …
The influence of ocean mesoscale on convective storms & Eddy-ice interaction under Antarctic sea ice
The following EERIE project scientists will present the topics below in a Storms, Eddies and Science Hour 10-minute format in a session hosted by Met Office’s Malcolm Roberts:Mulalo Maphugwi (University …
Postdoc scientist – Recent and future sea ice and polar climate changes at UCLouvain
The Université catholique de Louvain is searching for a postdoctoral researcher who will be responsible for the analysis of existing simulations with Earth System Models in order to determine the …
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Reducing carbon footprint of climate modelling
On this new ‘Storms, Eddies and Science’ online seminar, BSC’s Mario Acosta provides an in-depth approach to a subject that has kept him busy for years – reducing the carbon …
Scientist – Ocean and Sea Ice Variability and Predictability at ECMWF
ECMWF is searching for a highly motivated Scientist (A2) to conduct scientific research on evaluating (1) the representation of ocean and sea ice model uncertainty and mesoscale features in ECMWF coupled predictions …
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Efficient spin-up of Earth System Models using sequence acceleration
University of Oxford’s Samar Khatiwala speaks about efficient spin-up of Earth System Models using sequence acceleration in this Storms, Eddies and Science Hour, a joint nextGEMS, WarmWorld and EERIE project …
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