Are you working with Climate Model #LargeEnsembles? Then don't hesitate to join our session for #EGU22! ➡️meetingorganizer.copernicus.org/EGU22/session/… #EGU22 #Callforabstracts

The #large_ensemble session starts in 30 minutes #AGU21

Online for review! We use machine learning to classify ENSO then investigate projections ... take a look and feel free to comment. This project has been pretty fun!

REMINDER: if you find a stack of weather logbooks from the late 19th century in a shed, please don’t throw them in a skip. Phone your local, friendly meteorological service who will happily come and save them.

The first of two special SMILE webinars on new SMILEs is next Monday the 25th of April. 8am PDT; 9am MDT; 4pm BST; 5pm CET. These webinars showcase large ensembles that have recently become available or will soon become available to the community, as well as discuss future plans.

The second special SMILE webinar is next Monday the 16th of May. 8am PDT; 9am MDT; 4pm BST; 5pm CEST. Presentations by: Ji-Eun Kim; Dirk Olonscheck; Samantha Stevenson Sam Stevenson; Laura Muntjewerf LauraMuntjewerf ; Laura Wilcox Dr. Laura Wilcox & Nico Wienders

We're excited to invite you to submit an abstract to our @AGU #AGU22 Fall Meeting session on single-model initial condition large ensembles (SMILEs) as tools for exploring natural variability, change signals, and impacts agu.confex.com/agu/fm22/preli… (1/3)

A rare early career opportunity to join us ECMWF in Bonn to work on exciting topics! Please spread the word!

We have a new paper out looking at changes in different types of ENSO events. The event classification is trained on observations & reanalyses and then applied to #large_ensembles. Thanks Dr Nicola Maher for the great idea and leading the work!

Join the increasing effort ECMWF to work on high resolution simulations - here with a focus on the impact of the ocean mesoscale in #EERIE!

🚨20 days remaining🚨to apply for this opportunity to work with state-of-the-art high resolution global models at ECMWF !

Hi #climate and #wxtwitter, dows anyone know of any studies comparing biases between #CMIP models and their closest cousins from the seasonal (i.e. C3S) and subseasonal (i.e. S2S) forecast models. Wondering how far the seamlessness goes in terms of model errors/biases.

We are testing what needs to be done to improve the realism of global km-scale weather simulations. Find out how, as part of the nextGEMS project, we are modelling sea ice cracks in the Arctic and fixing water and energy budget imbalances: ecmwf.int/en/about/media…