Science Hour #10 – EERIE at EGU Special Session

Online

Several EERIE project scientists who presented their findings at EGU'24 will share their presentations (and allow time for discussion) during this special Science Hour. Join the session

Efficient spin-up of Earth System Models using sequence acceleration

Online

University of Oxford's Samar Khatiwala will speak 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 online seminar. Join the session

Reducing carbon footprint of climate modelling

Online

Barcelona Supercomputing Center's Mario Acosta will talk about reducing the carbon footprint of climate modelling in a new EERIE, WarmWorld and nextGEMS online seminar hosted by University of Reading's Pier Luigi Vidale. Join the session

Storms, Eddies and Science

Online

The following EERIE project scientists will present the topics below in a Storms, Eddies and Science Hour 10-minute format: Mulalo Maphugwi (University of Cape Town): “The influence of ocean mesoscale on long-lived convective storms over the east coast of southern Africa using high resolution models”. Stephy Libera (Université catholique de Louvain): “Eddy-ice interaction under Antarctic …

Storms, Eddies and Science

Online

The following EERIE project scientists will present the topics below in a Storms, Eddies and Science Hour 10-minute format, leading up to the General Assembly 2024: Amanda Frigola (Barcelona Supercomputing Center): “The North Atlantic mean state in eddy-resolving models: a multimodel study” Benoît Laurent (Centre National de la Recherche Scientifique): “Contribution of eddy variability to …

General Assembly 2024

Online

EERIE scientists will discuss the progress of the project on November 5-6 during the 2024 General Assembly. It will be an online event. Timetable

Storms, Eddies and Science

Online

Our 10-minute presentation format Storms, Eddies and Science Hour will feature the following EERIE project scientists and topics related to Machine Learning methods used in EERIE: Jan-Hendrik Malles (UBREMEN): "Introduction to causal model evaluation and first results from EERIE" Bobby Antonio (UOXF): "Investigating the use of a machine learning atmospheric emulator in spinning up an …