DA-TT meeting – May 2023 (Rome)

Meeting format

The workshop will take place over 3 days.

The meeting will be an in-person event with presentations recorded and made available afterwards.

The meeting will consist of oral presentations selected through the abstract submission process and organised by the themes listed below.

Poster presentations will also be included with dedicated poster sessions.

The overarching discussion points are listed on the meeting objectives tab.

Date, venue and location

• 9-11 May 2023
• Task Team meeting
• CNR, Rome, Italy

The workshop will be held at the CNR headquarters in central Rome (piazzale Aldo Moro, see more information at https://www.cnr.it/en/reach-headquarters  ; location visible at https://www.google.com/maps/place/Piazzale+Aldo+Moro,+00185+Roma+RM). CNR headquarters are close to the main University campus (“La Sapienza”), not far from the main railway station “Roma Termini” and the student neighborhood San Lorenzo.

There are plenty of options for accommodation nearby. Lunches are expected to be offered by the local organizers, while dinner is at everyone’s expense.

Expected attendees

The meeting is primarily intended for participation by DA-TT members, the wider OceanPredict community and other experts in ocean and coupled DA, machine learning, ocean forecasting and reanalysis. Junior scientists and graduate students are also encouraged to attend.

Important dates

Registration / abstract submission

Registration and abstract submission for the DA-TT meeting in Rome is now OPEN.

Registration and abstract submission for the DA-TT meeting are both done through the form below. If you only want to register but not submit an abstract, just leave the respective submission form part blank.

We do not expect to charge a registration fee and costs for breaks and lunch will be kindly covered by the meeting host CNR. We plan to have a workshop dinner which will be paid for by participants.

If you want to update your registration or submission you will have to register again. All questions marked with * are mandatory.

Agenda

The detailed agenda for the DA-TT meeting can be downloaded here.

A general agenda overview for all 3 meeting days is provided below:

Themes

The workshop will be structured around the following themes:

1. Advances in DA methods (ensembles, algorithms, machine learning, downscaling, …)
2. Error covariance modelling (B, Q and R, hybrid approaches)
3. Observing systems: requirements, evaluation, design and associated DA developments
4. Software infrastructure and efficient use of DA on HPCs
5. Coupled Earth system DA (e.g., ocean/atmosphere/sea-ice, physics/biogeochemistry, physics/acoustics)
6. Applications of DA in operational forecasting, reanalysis systems, digital twins and climate prediction. 

Abstracts that address any of the following topics will be particularly welcomed:

1. Data assimilation developments for global, regional and coastal systems
2. Ensembles methods: their generation, assessment, and use in data assimilation
3. Algorithm development in support of data assimilation
4. Hybrid data assimilation methods
5. Coupled earth system data assimilation
6. Use of novel observations and improved use of existing observations
7. Model error
8. Forecast error covariance estimation and representation in DA
9. Correlated observation errors.
10. Application of machine learning to DA
11. DA software infrastructure

Organising Committee

Andy Moore (UCSC)
Matt Martin (Met Office)
Andrea Storto (CNR)
Kirsten Wilmer-Becker (Met Office)
Marcin Chrust (ECMWF)
Anthony Weaver (CERFACS)
Anna Teruzzi (OGS)
Sergey Frolov (NOAA)
Ann Kristin Sperrevik (Norwegian Meteorological Institute)