Annual Seminar 2018

ECMWF | Reading | 10-13 September 2018

Earth System Assimilation

In 2018 it is 20 years since the original introduction of 4D-Var at ECMWF. To commemorate this achievement there was a one-day symposium on 4D-Var in January and then in September the Annual Seminar will be on 'Earth System Assimilation'.

4D-Var has brought many very significant benefits over the past 20 years. In recent years the importance of having an ensemble component to the data assimilation has also become apparent and effort has focussed on optimising the ensemble configuration, including hybrid techniques. The 2018 Annual Seminar will present the state of the art in data assimilation methods as applied in different Earth system components, as well as progress and strategies for coupled data assimilation. In particular the Seminar will give an opportunity to report and identify common themes in assimilation for different Earth system components (atmosphere, including composition; land; ocean; and cryosphere) with a particular emphasis on coupling. The Seminar will also present the status and evolution of the global observing system for Earth system assimilation.

The seminar will begin with an overview of motivation and methods in earth system assimilation followed by a review of the evolving global observing system for the earth system.
It will then report on ideas aiming at coupled assimilation in operational systems. This will be followed by more detailed talks on aspects of data assimilation methodology relevant to multiple earth system components, such as the handling non-linearity and non-gaussianity in variational systems, ensemble and particle filter data assimilation, modelling of background errors, model error and parameter estimation, observation error modelling and issues in data sparse systems (such as pre-satellite era re-analysis). The seminar will briefly present forecast model developments that may drive requirements for new data assimilation capability as well as issues with the linear model required by the 4D-Var algorithm. The seminar will then move on to a more detailed review of coupling strategies, including outer loop coupling, full covariance coupling and coupling through the observation operator. On the last day the seminar will consider actual progress in complex systems, including in the context of 20th century re-analysis, atmospheric composition, ocean and land.

Seminar aims

The seminar is part of ECMWF's educational programme and is aimed at young scientists but also more established scientists that want to engage more with earth system assimilation.

Attendance information and fee

To register, please complete the online registration form by 27 July 2018.

To register, you will need an ECMWF username. If you already have one and are not logged in you can use the link at the top of this page to do so. If you do not have an ECMWF username, you can register for one using the log in link at the top of the page.

This seminar is free to participants from ECMWF's Member and Co-operating States. We will charge a registration fee (see below) for any other applicants.

Please note that no funds are available from ECMWF to support participant's attendance at the seminar.

The seminar is open to a maximum of 100 participants.

The deadline for registration is 27 July 2018.

Registration fee

The registration fee is 250 GBP for participants not residing in one of ECMWF's Member or Co-operating states. This includes an ice-breaker, one evening dinner and coffee breaks.

Please pay the registration fee by 1 August by bank transfer (see payment information).

EMS travel award

The European Meteorological Society will sponsor one scientist to attend the seminar in its Young Scientist Travel Awards scheme. The award is to support participation of outstanding students and young scientists at EMS-co-sponsored conferences. The award consists of a financial contribution towards travel expenses. The deadline for applications is 13 June 2018.

Organising committee

Massimo Bonavita, Niels Bormann, Rossana Dragani, Stephen English, Johannes Flemming, Hans Hersbach, Elias Holm, Lars Isaksen, Sebastien Massart, Patricia Rosnay, Hao Zuo