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Joint CP-TT/ DA-TT Workshop – May 2025

Task Team event
19 May 2025 – 22 May 2025, UCAR, Boulder, Colorado, USA

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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
  • 19-22 May 2025
  • UCAR, Boulder, Colorado, USA

Objectives

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 themes cover 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:

  1. DA-TT (data assimilation)
  2. CP-TT (coupled predictions)
  3. Cross- cutting
  1. 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.

 

  1. 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.
  1. 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

The workshop will take place over 4 days (Mon- Thu). It will be hosted by UCAR. We expect about 100 participants.

The workshop will be a hybrid event, but in-person participation is highly encouraged as it will provide better networking and participation in all workshop activities.

Presentations will be recorded and made available afterwards.

Oral presentations

The workshop will consist of oral presentations selected through the abstract submission process.

Posters

Poster presentations will be shown in dedicated poster sessions.

Registration and abstract submission

Registration and abstract submission for the joint DA-, CP-TT workshop will open in December 2024.

We expect to charge a small registration fee of US $ that will cover costs for breaks and lunch. We plan to have a workshop dinner which will be paid for by participants .

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.

 

 

Venue and location

The workshop will be held at the UCAR Center Green Campus (https://maps.app.goo.gl/VsmX6RAwyecTtJGS8) and hosted by the UCAR Joint Center for Satellite Data Assimilation (JCSDA).

More information to be provided soon.

Important dates

Date What happens?
August 2024 Save the date announcement
October 2024 Announcement of WS with flyer
December 2024 Call for abstracts and registration
End Jan 2025 Abstract submission closed
End Feb 2025 Abstract selection and agenda completed
Mid Mar 2025 Registration deadline
19-22nd May 2025 Workshop

Organising and Science Committee

Committee members:

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