Part of ECMWF's 50th anniversary celebrations
Overview
Data Assimilation is traditionally about optimally blending observations and model information to provide the best estimate of the current state of the Earth system for both monitoring and prediction purposes. However, the recent advent of Machine Learning in NWP and Climate has shown that data assimilation and observations can be effectively and more directly used to improve NWP and Climate prediction than just for providing initial conditions for physics-based and data-driven machine learning forecast models.
The focus of this two-day workshop is to discuss current cutting edge development directions in both traditional data assimilation and observations for NWP and Climate and the emerging areas of hybridising aspects of the data assimilation workflow or, possibly, fully replacing data assimilation with machine learning technologies.
The workshop format will be a number of scene setting presentations and open discussion among invited experts.
Attendance information
Registration is open until 10 January 2025. If you would like to attend this workshop, please complete the registration form before the closing date.
If you would like to present a poster at this workshop, please complete an abstract submission form by 10 January 2025.
Workshop participants will also have an opportunity to attend the opening plenary on Monday 7 April (p.m.) and a common day with the Annual Seminar on Tuesday 8 April.
