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Article Reference The COPE project: Conservation management of polar ecosystems using genomic approaches to study connectivity across spatial and functional scales
Located in Library / RBINS Staff Publications 2020
Inproceedings Reference Prospectivity mapping of critical raw material at the continental scale - a part of the FRAME project
Located in Library / RBINS Staff Publications 2020
Inproceedings Reference Prospectivity mapping of phosphor in Europe; a part of the GEOERA-FRAME project.
Located in Library / RBINS Staff Publications 2020
Inproceedings Reference An isotopic and trace element investigation of gossans from Troodos ophiolite, Cyprus.
Located in Library / RBINS Staff Publications 2020
Inproceedings Reference ASSESSMENT OF CRITICAL RAW MATERIALS CONTENT IN PHOSPHATE MINERALIZATIONS: AN OBJECTIVE OF THE FRAME PROJECT.
Located in Library / RBINS Staff Publications 2020
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
Article Reference Assessing the use of fish otolith stable O and C isotope geochemistry as a paleotemperature and seasonality proxy: results from the early Eocene climatic optimum (EECO) in Belgium.
Located in Library / RBINS Staff Publications
Article Reference Multiple environmental perturbations in the Nile Basin, Egypt: expressions of hyperthermals?
Located in Library / RBINS Staff Publications
Article Reference The Latest Danian Event along a paleobathymetric gradient in the Nile Basin (Eastern Desert, Egypt).
Located in Library / RBINS Staff Publications
Article Reference Identification and characterisation of early Eocene hyperthermals in shallow marine sequences
Located in Library / RBINS Staff Publications