Iliad DTO 4.01 oil spill identification and forecasting (Cretan sea & Global)

Coastal Crete is the Cretan Sea Digital Twin of Iliad, co-developed by partners FORTH and MEEO, that provides to users advanced, high-resolution forecasting services, enhanced by the integration of Sentinel data, real-time in-situ observations and Machnine Learning algorithms, allowing the simulation of (what-if) predictive scenarios.

The Oil Spill Response Ocean Twin provides early detection of marine oil spills, and accurate, short-term operational forecasting of spill trajectories to support immediate response to pollution events, minimizing thus the impact on marine ecosystems, coastal communities and the economy and reducing the time for environmental recovery. A multi-model approach is followed for predicting the fate and transport of oil spills, employing particle tracking models, coupled to operational, high-resolution numerical weather (WRF), hydrodynamic (NEMO) and sea state (WAVEWATCH III) models for Cretan Sea. A near-real time automatic oil spill detection system, from Sentinel-1 SAR images is developed, which allows early detection of marine oil spills and triggers the oil spill forecasting system, producing accurate short-term forecasting of spills’ trajectories and fate.

The Oil Spill Response Digital Twin also provides: (i) the operational picture for the deployment of technical response measures combining high-resolution met-ocean operational forecasting data, and in-situ observations and (ii) oil spill forecasting as an on-demand service/tool to users for simulating (what-if) predictive scenarios of oil spills, using also different meteorological and hydrodynamic forcing and ensemble forecasts to assess models’ uncertainty. The on-demand tool is applicable for the global ocean.

Find more about this DTO in the Iliad Marketplace: https://ocean-twin.eu/marketplace/product/oil-spills

Along with this description of the DTO, we provide here an example of the NETCDF file outputted by MEDSLIK-II application package pipeline, or from the point spill pipeline, which can be inputted in the relevant visual machine after you create a free acount and contact us ([e-mail] [e-mail]) notifying of the email you used to register to geomachine, to grant you access to the visual front end of oil spills.

Additionally, a free webpage tool that helps the user construct the CWL command by filling in boxes and drop down menus can be found in https://antonisp15.github.io/oilspill_page