Scientific Outputs

The project started in January 2023 and results will be updated on this page during the lifetime of the project. The objectives of ACCIBERG are:

1. To demonstrate two new prototypes of iceberg forecasts for detecting icebergs beyond Greenland waters: ACCIBERG plans to demonstrate two freely available prototypes of iceberg forecasts, one as density maps showing risky areas and one as individual iceberg trajectories computed on-demand, both based on Copernicus data. The forecasts will incorporate new algorithms for detecting icebergs beyond Greenland waters. ACCIBERG targets primarily the short-term (days) trajectories for ship assistance but also longer trajectories of larger icebergs that can drift for months or longer. This motivates the need for a cross-Copernicus forecasting system, capable of selecting the most adequate input to drive the iceberg trajectories: the winds, ocean currents, sea ice cover and drift, and the ocean waves. Three of the participating partners have previous experience with iceberg simulations, so the aim is to bring this activity from a TRL of 3 to a TRL 6 by running the simulations in the environment of the operational entity and demonstrations with targeted users. The target accuracy of the 5-days forecast is 30 km of location error. 

  • The satellite detection algorithm has been modified to remove ships based on their AIS data, and the false detection of sea ice as icebergs has been improved thanks to an automated new sea ice concentration product.
  • The iceberg model has been developed in two steps and now accounts for a wide variety of processes (ocean currents, wind effects, waves, sea ice, melting, roll over, etc.). 
  • Validation data has been collected but more is still needed (readers are encouraged to send any iceberg trajectory datasets to the project!), and the results have been variable, with some iceberg trajectories being reproduced by the model but not others. 
  • The OpenDrift software has been implemented on WEkEO and been highlighted by the EDITO Model Lab.

2. To provide calibrated sea-ice forecast products for days to seasons ahead together with reliable uncertainty estimates: this aims to improve the assimilation of sea ice parameters in operational ocean and sea-ice forecasting models for providing safe navigation. Up to now, only high-level and heavily processed satellite data products (Level-3 and Level-4) have been assimilated in the sea-ice forecast models. In ACCIBERG we want to introduce the assimilation of raw (Level-1) satellite data for improving the forecasts of sea-ice concentration and sea-ice type. Proof of concepts of such Level-1 assimilation exist today that use satellite simulators to link the model variables to the raw satellite observations (TRL 3). They, however, lack calibration with the satellite data and are not integrated in the forecast systems of Copernicus. In ACCIBERG we will develop dynamic sea-ice calibration of the satellite simulators and integrate them in the data assimilation system of the Arctic CMEMS forecast system, which will make it easy to integrate the developments in the existing service. We will achieve TRL 6 by demonstrating a cost-effective assimilation of existing satellites with improved sea-ice forecasting skills (TRL 6 for sea-ice concentration and at least TRL 5 for sea-ice type). Beyond the timeframe of the project, our developments prepare for the optimal use of the future CIMR satellite mission, one of the planned Copernicus Expansion missions.

  • The development of the ICECAP software package to support validation, calibration and end-user products for sea-ice forecasts from the Copernicus Services is progressing well. It currently handles medium-range sea ice forecasts from the CMEMS ARC-MFC system and ECMWF, extended-range forecasts from ECMWF, and seasonal forecasts from the C3S seasonal forecasts. It provides a quick and easy-to-use tool to evaluate forecast quality for forecast system developers. 
  • A new version of the ARC-MFC ensemble forecasting system based on TOPAZ5 has been developed with daily forecasts available to the project partners, to encourage early testing of the ICECAP software.

3. To improve the assimilation of sea ice parameters in operational ocean and sea-ice forecasting models: this will provide calibrated sea-ice forecast products for days to seasons ahead together with reliable uncertainty estimates, bringing together data from the Copernicus Marine Environment Monitoring and Climate Change Services. This will build on existing proof of concepts for the validation and calibration of probabilistic sea-ice forecasts that rely on ensemble and retrospective forecasts (TRL 3). Prototypes of forecast products will first be developed to TRL 4, and finally implemented and tested on a cross-Copernicus WEkEO platform to achieve TRL 6. Potential end users will be involved to make sure these products are relevant to them. The WEkEO platform will provide a convenient single point of entry service for the end users: They can obtain sea-ice information for the next days, weeks or season ahead. The new methods and tools for validation and calibration of probabilistic sea-ice forecasts will also support the research-to-operations process for marine ensemble forecasting systems across the Copernicus Services. In particular, developments of ensemble forecasting with a major new sea-ice model and stochastic perturbations of sea-ice dynamics and thermodynamics will be tested to make recommendations for future improvements to the monitoring and forecasting systems underpinning the Copernicus Services. 

  • Development of the microwave satellite simulator has progressed well, the original Radiative Transfer Model has been modified to improve the existing significant errors in brightness temperatures. 
  • Preparation of satellite and auxiliary data and development of the interface of the satellite simulator with EnKF is progressing well.
  • The first assimilation analysis using the EnKF software has been performed. Initial results indicate that the assimilation of brightness temperatures can potentially provide better corrections than the assimilation of Sea Ice Concentration. 

Publications

  • Durán Moro, M., Sperrevik, A. K., Lavergne, T., Bertino, L., Gusdal, Y., Iversen, S. C., and Rusin, J.: Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model, The Cryosphere, 18, 1597–1619, https://doi.org/10.5194/tc-18-1597-2024, 2024
  • Bertino, L., Downy, C., Lavergne, T., Tietsche, S., Storto, A., (2024). Improving Copernicus forecasts of Arctic sea ice and icebergs with the ACCIBERG project, Climate Change and Security Workshop Proceedings, CMRE-CP-2024-001, https://www.climatechangesecurity.org/wp-content/uploads/2024/04/CMRE-CP-2024-001.pdf