Super Resolution for the NECCTON project
A Neural Network allows to go from a low resolution field to a high resolution field to do data assimilation in the HR space, to then go back in the LR dimension to run a LR model. To do so, the Neural Network computes the residuals it needs to add to a bilinear upsampling of the LR field to get the true HR field.
The workshop, titled ‘Introduction to new capabilities in marine biogeochemical and ecosystem modelling,’ aimed to equip scientists of all levels with advanced models and tools. NECCTON’s involvement was crucial in providing insights into innovative ecosystem models, supporting both theoretical and practical sessions....
Learn moreOur team has delivered a number of insightful talks and presented informative posters, significantly contributing to the international ecosystem modelling community. This engagement has provided an excellent opportunity for networking and building collaborations with other researchers from around the world....
Learn moreNECCTON’s scientific lead, Stefano Ciavatta from Mercator Ocean joined the Conference to highlight NECCTONs contribution to tackle the challenges 2 (Protect and restore ecosystems and biodiversity), 3 (Sustainably feed the global population) and 5 (Unlock ocean-based solutions to climate change), as project endorsed by the UN Ocean Decade....
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Learn moreNECCTON Project Endorsed by UN Ocean Decade Programme: Advancing Marine Biodiversity Conservation...
Learn moreThe project coordinator Stefano Ciavatta joined the second Digital Ocean Forum (DOF2), organized by the EU DG MARE and DG RTD, in Brussels on the 14th and 15th June 2023....
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