ECMWF | Reading | 17-20 May 2021
COVID-19 (coronavirus) update
5 June 2020
Please note that we are constantly monitoring the Covid-19 situation and hope that the workshop will go ahead as planned. However, if the situation has not improved sufficiently to guarantee safe travel and meeting environment, we will endeavour to hold the meeting online. We will keep all registered attendees and abstract submitters informed.
This workshop aims to bring together experts in the field of ocean and coupled data assimilation to discuss the latest progress in the field, to outline the main challenges and to identify new directions for research.
Ocean data assimilation underpins many forecasting and reanalysis applications. Seasonal forecasts rely on ocean data assimilation to produce initial conditions for the ocean component of coupled forecasts. The production of multi-decadal ocean and coupled reanalyses has enabled the calibration of these forecasts and allows studies into the climate of the ocean’s recent past. Higher resolution global and regional short-range forecasts of the ocean also require initialisation through data assimilation which has been the focus of groups contributing to the Data Assimilation Task Team (DA-TT) of OceanPredict. With the advent of coupled NWP at many operational centres, including ECMWF, improving methods for ocean and coupled data assimilation is ever more important.
The workshop will take place over 4 days.
While the meeting will be physically located at ECMWF, attendance by video conference will also be possible.
The first 3 days will consist of invited and contributed oral presentations. Contributed talks will be selected through the abstract submission process.
Poster presentations will also be included with dedicated poster sessions.
A series of working group discussions will take place on the 4th day with a final plenary session to discuss the main recommendations.
The workshop will be structured around the following themes:
- Ocean and coupled reanalysis
- Coupled data assimilation (ocean, atmosphere, sea-ice, waves, biogeochemistry, etc)
- Data assimilation methods (algorithmic developments in variational, ensemble and hybrid DA, covariance modelling, etc)
- Applications of machine learning in data assimilation
- Model error (estimation, representation in variational and ensemble DA, etc)
- Assimilation of novel observations (i.e. under-utilized observations and upcoming missions)
- Recent assimilation infrastructure developments (e.g. OOPS, JEDI, future HPCs, etc)
- Development and assessment of data assimilation in forecasting applications (global and regional)
|1 July 2020||Call for abstracts and registration|
|31 January 2021||Abstract submission deadline|
|28 February 2021||Abstract selection and agenda available|
|31 March 2021||Registration deadline|
Andy Moore (UCSC), Anthony Weaver (CERFACS), Arthur Vidard (INRIA), Hao Zuo (ECMWF),
Magdalena Balmaseda (ECMWF), Marcin Chrust (ECMWF), Massimo Bonavita (ECMWF),
Matt Martin (Met Office), Patricia de Rosnay (ECMWF), Phil Browne (ECMWF), Kirsten Wilmer-Becker (Met Office).