CERISE Project team members attended and presented at the European Meteorological Society (EMS) annual meeting 2024.
The in-person and online conference took place in Barcelona, Spain from the 2nd to the 6th September 2024.
Over the course of the 5 days, CERISE was represented by Christoph Herbert, Ekaterina Vorobeva, Jonny Day, Nils Noll and Núria Pérez-Zanón in posters and presentations.
Christoph shares his thoughts on the meeting:
“Attending the EMS annual meeting was very enriching to me, and I also had the opportunity to meet up with many other CERISE collaborators who presented their progress over the last ~1.5 years.
I had a talk on our recent developments in coupled data assimilation ‘Towards unified land data assimilation at ECMWF: Soil and snow temperature analysis in the Simplified Extended Kalman Filter’ in the session ‘Data Assimilation and Ensemble Forecasting’.
After the session, I received valuable feedback and comments on the improvement of forecast skill of the new approach, that is mainly due to analysing the soil temperature in three layers and using the EDA in the computation of the Jacobians. This first step towards a unified LDAS enabled the investigation of enhanced outer-loop coupling between land and atmosphere. I presented the status of infrastructural developments and current testing to achieve an optimal degree of coupling as a poster in the same session. One of the main interests of the audience was the potential of assimilating interface observations that could be exploited to improve land-atmosphere coupling.
On behalf of Patricia and the CERISE management board, I presented a poster on the objectives and general framework of CERISE in the session on ‘regional and global reanalysis’, highlighting the first scientific results on enhanced ensemble-based land DA and the improvements of the first ERA6-Land reanalysis prototype in comparison to ERA5 and ERA5-Land.
Perhaps a key takeaway from the conference that moved me the most was the many applications of ERA5, emphasising the importance of high-quality reanalysis and making it one of the world's most important datasets.”
We thank all our CERISE presenters for disseminating CERISE results and progress.
Photos courtesy of the CERISE project team.
