NOCOS DT aims to leverage ClimateDT data to deliver relevant information, analyses, and insights on sea ice conditions in the Nordic and Arctic regions.
Through a set of practical use cases, the project demonstrates how integrated data and digital twin technologies can address real-world challenges related to sea ice, supporting users ranging from maritime operators to planners and researchers.
The primary goal of NOCOS DT is to use ClimateDT data to provide what do we provide? ... relevant data, analysis, and information regarding sea ice through a series of practical use case showcases.
By integrating observational data, numerical models, and advanced analytics, NOCOS DT offers actionable solutions and decision support tailored for a variety of end-users operating in ice-affected waters.
Reusable tools and modules for accessing, processing, and visualizing Climate DT sea ice data are developed and maintained in the common/ directory.
These shared utilities support various use cases across the NOCOS DT project.
For more details and usage instructions, see the Common Tools README.
NOCOS DT is organized around concrete Use Cases reflecting real-world challenges.
Each Use Case delivers a dedicated set of tools, data, and documentation, with details available in the respective subfolders.
| Use Case Name | Description | Link to README |
|---|---|---|
| Marine Spatial Planning | Decision support for planning in ice-affected waters | README |
| Arctic Shipping | Risk Index Outcome: ship routing & risk assessment | README |
| Icebreaking_HiDEM | High-resolution icebreaking modeling | README |
| Landfast ice | Landfast ice occurrence in coastal areas | README |
| Marginal ice zone | Marginal Ice Zone detection and dynamics | README |
| Ridging | Modeling and analysis of sea ice ridging | README |
Each Use Case includes methods, codes, and documentation tailored for its specific application.
For more details, visit the target README in each use case directory.
NOCOS DT was funded by the Nordic Council of Ministers. The consortium consisted of CSC – IT Center for Science (CSC), Danish Meteorological Institute (DMI), Finnish Meteorological Institute (FMI), Norwegian Meteorological Institute (MetNo), Swedish Meteorological and Hydrological Institute (SMHI), and Tallinn University of Technology (TalTech).
