Joint CP-TT/DA-TT Workshop
Overview
The OceanPredict task teams on Coupled Predictions (CP-TT) and Data Assimilation (DA-TT) are organizing a joint workshop at ECMWF, UK on “Advances in coupled modeling, data assimilation, and predictions” in the week commencing 26 Oct 2026.
A 4 or 5 day event (TBD) will bring together a wide range of scientists and experts in ocean coupled prediction and data assimilation.
The Data Assimilation-Task Team (DA-TT) fosters the development and evaluation of data assimilation systems relevant to OceanPredict to support the coordination of the fundamental and challenging issues in the ocean forecasting process, of which data assimilation is a significant part.
The Coupled Prediction-Task Team (CP-TT) is engaged in the development and advancement of earth system coupled models to improve predictions across a range of time-scales. Particular focus is on the role of the ocean in coupled models, their initialization and predictions and how the ocean influences other components (e.g., atmosphere, land, sea ice, waves, bio-geo-chemistry, etc).
Date and time
- In-person meeting (with possible hybrid option)
- 26-30 October 2026 (4 or 5 days, TBD)
- ECMWF, Reading, UK
Objectives
The DA-TT and the CP-TT are organizing a Joint workshop at ECMWF on Advances in coupled modeling, data assimilation, and predictions to
- foster development and evaluation of coupled and ocean DA systems
- develop and advance Earth system coupled models and prediction
- develop and advance cross-cutting themes (DA, coupled modeling, initialization, AI/ML)
This meeting aims to bring together experts in the field of ocean, coupled data assimilation (DA) and coupled modeling and forecasting to discuss the latest progress and challenges in the field, and to share experiences in the development of ocean/coupled DA and predictions from the underlying algorithms to the details of implementation in operational forecasting systems.
A short “white” paper covering the issues and recommendations will be submitted for publication following the meeting.
Themes
The workshop covers themes in the areas of the OceanPredict Task Teams CP-TT (coupled prediction) and DA-TT (data assimilation) and also cross-cutting aspects.
Please see details below:
- DA-TT (data assimilation)
- CP-TT (coupled predictions)
- Cross- cutting
- DA-TT:
- Status of ocean-focused DA in operational forecasting, reanalysis systems, digital twins and climate prediction from global to regional and coastal systems.
- Advances in DA methods (ensembles, algorithms, machine learning, downscaling, error covariance modeling, etc).
- Observing systems: requirements, evaluation, design and associated DA developments.
- Software infrastructure and efficient use of DA on HPCs for ocean/coupled DA.
- CP-TT:
- Science of coupling for improving predictions at different time scales: weather- medium, sub-, seasonal scales. Complexity and challenges involved in medium range and SFS predictions.
- Physical and dynamical consistency in coupling across earth system models and analyses.
- Representation of coupling feedbacks in earth systems models with different levels of complexity of individual components (parameterized vs resolved processes). Clarification of the key choices for (ocean) model configurations and parameterizations.
- Advances in coupling software infrastructure on current and future HPCs.
- Cross- cutting:
- Use of DA to improve models and reduce model error. Initialization of Earth system models (algorithm advancements, status, applications for seasonal and climate projections). DA for estimation of model parameters. Appropriate covariances for coupled models at high resolutions (> 0.25-deg).
- Role of coupling and/or DA in the representation of extreme events (hurricanes, cyclones, marine heat waves, etc) and their predictions.
- Impact of ocean observations on coupled forecasts. Novel use of observations to improve coupled predictions, e.g., how to best use observations sensitive to the interface between the ocean and the atmosphere (for instance satellite radiances sensitive to ocean skin salinity/temperature)?
- Changing role of DA in the face of AI models and digital twins and integration strategies of AI and DA/coupled modelling.
- Coupled models and DA (e.g., ocean/atmosphere/sea-ice, physics/biogeochemistry, physics/acoustics) in the representation of carbon cycle. From earth system to regional scale models: marine carbon dioxide removal and related physical and biogeochemical processes: current status and improvements.
- Development of coherent designs and collaborations for experiments and diagnostics.
Format
TBC
Registration and abstract submission
TBC
Attendance
Members of the two task teams (CP-TT and DA-TT) are warmly invited to the meeting, but also
- attendees of previous DA-TT or CP-TT events
- Members of the wider OceanPredict community
- researchers who work in the field of ocean, coupled data assimilation (DA) and coupled modeling and forecasting
- Junior scientists and graduate students are very much encouraged to attend.
CP-TT and DA-TT members or their substitutes are expressly invited to attend.
Organising committee
TBC
