>>> Valencia Port
The Client
Fundación Valenciaport is an Applied Research, Innovation & Training centre providing services to the port and logistics cluster. This initiative of the Port Authority of Valencia has enjoyed the collaboration of notable businesses, universities and institutions from the port community.
Since its establishment, it has developed projects in more than 60 countries, primarily Mediterranean nations, as well as from the rest of Europe, Asia and Latin America.
>>> Conceptual metocean conditions for an area of interest
The Challenge
Assess the wave climate change at local scale for the Ports of Gandía, Sagunto and Valencia, for multiple models and climatic scenarios, in order to determine the impact of this change in port infrastructures as well as port operations.
>>> Project overview
AI DOWNSCALING
Simulating 30 years in ~5 minutes with a mid-range GPU
The Results
This project validates and demonstrates the capabilities of Artificial Intelligence applied to high resolution downscaling of wave models.
Simulation of high resolution climatic wave propagation using nested numerical models require intensive use of computational resoruces. The alternative to this methodology is the use of statistical models able to do local downscaling constrained by the need of existing in-situ observations that can be used to correlate low resolution models with local measurements).
>>> How artificial intelligence has been trained
Within the ECCLIPSE project framework, Fundación ValenciaPort has contracted NOW Systems to implement a high resolution wave downscaling system based in Artificial Intelligence that is able of generating long time series (multidecade) of local wave parameters that can be used in the analysis of the wave climate evolution in the future, for both different Global Circulation Models and Climate Scenarios. These simulations have been done for the Ports of Gandia, Valencia and Sagunto.
The methodology used and validated in this project allows, once trained the Artificial Intelligence, to generate multidecade climatic time series in minutes.