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Webpublished Reference NOOS-Drift, an innovative operational transnational multi-model ensemble system to assess ocean drift forecast accuracy.
In case of maritime pollution, man-overboard, or objects adrift at sea, national maritime authorities of the 9 countries bordering the European North West Continental Shelf (NWS) rely on drift model simulations in order to better understand the situation at stake and plan the best response strategy. So far, the drift forecast services are mainly managed at national levels with almost no integration at the transnational level. Designed as a support service to the national drift forecasting services, NOOS-Drift has the ambition to change this paradigm. NOOS-Drift is a distributed transnational multi-model ensemble system to assess and improve drift forecast accuracy in the European North West Continental Shelf. Developed as a one-stop-shop web service, the service allows registered users (national drift model operators or trained maritime authorities) to submit on-demand drift simulation requests to be run by all the national drift forecasting services connected to NOOS-Drift. Within 15 minutes after activation, the NOOS-Drift users shall get access to the drift simulation results of the individual ensemble members, as well as the results of a multi-models joint analysis assessing the ensemble spread and delineating risk areas to locate possible maritime pollution. This operation of such a distributed multi-models service is to our knowledge a world premiere. In this communication, we will present the technical and scientific developments that had to be done to make this service possible, including: - a robust, secure and latency-free communication system that coordinates the execution of the different national models - a strategy to build the multi-model ensemble - a definition of drift forecast accuracy - the joint multi-model analysis tools - the standard file formats and visualisation means. Finally we will illustrate on an example how the NOOS-Drift service could change the decision making process.
Located in Library / RBINS Staff Publications 2020
Inproceedings Reference Detecting Xenopus laevis in Belgium using eDNA and qPCR
Located in Library / RBINS Staff Publications 2022 OA
Inproceedings Reference First record and DNA identification of the Pacific oyster, Crassostrea gigas (Thunberg, 1793), in the southern Black Sea
Located in Library / RBINS Staff Publications 2022 OA
Inproceedings Reference Regional heritage stone diversity in stone-poor landscapes, the example of northern Belgium.
Located in Library / RBINS Staff Publications 2023
Inproceedings Reference RAPTORS AS A RESOURCE: NEW INSIGHTS INTO MIDDLE AND UPPER PALEOLITHIC BIRD USE AT WALOU CAVE (BELGIUM) BY NEANDERTHALS AND MODERN HUMANS
Located in Library / RBINS Staff Publications 2025
Article Reference L'inconnu de la cathédrale. Tentative d'identification d'un ecclésiastique inhumé dans la cathédrale Saints-Michel-et-Gudule (Bruxelles, Belgique).
Located in Library / RBINS Staff Publications 2016
Inproceedings Reference Do man-made structures impact the connectivity patterns of hard substrate species in the North Sea?
Located in Library / RBINS Staff Publications 2018
Inproceedings Reference Impact of climate change on connectivity and larval recruitment of sole in the North Sea
Located in Library / RBINS Staff Publications 2018
Inproceedings Reference Water and sediment circulation in the ports of Zeebruge and Ostend
Located in Library / RBINS Staff Publications 2018
Inproceedings Reference Climate change impacts on storm-surges and waves on the Belgian Continental Shelf
Located in Library / RBINS Staff Publications 2018