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Daniel Precioso
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_pages/about.md

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<p align="center"><img src="https://weathernavigation.com/images/banner.png" alt="Banner" width="100%"/></p>
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<img src="https://weathernavigation.com/images/banner-bbva.png" alt="Banner BBVA" style="width: 100%; height: auto;"/>
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<img src="https://weathernavigation.com/images/banner-aei.png" alt="Banner AEI" style="width: 100%; height: auto;"/>
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[IE University](https://www.ie.edu/) and [Universidad de Cádiz](https://www.uca.es/) promote this interdisciplinary project aimed at providing algorithms to calculate safe and optimized shipping routes for reduced fuel consumption and emissions, taking into account real time oceanographic and meteorological information. The necessary data will be collected from public repositories such as NOAA, Copernicus or HYCOM, and they include predictions for ocean currents, wind and waves. Detailed models will be built to estimate the fuel consumption and emissions of every vessel as a function of its characteristics (displacement, hull length, engine power), cruising speed and sea conditions (currents, waves and wind).
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- Spanish [Agencia Estatal de Investigación](https://www.aei.gob.es/) under grant TED2021-129455B-I00, "Optimization of maritime routes with real time oceanographic and meteorological data".
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<img src="https://weathernavigation.com/images/banner-bbva.png" alt="Banner BBVA" style="width: 100%; height: auto;"/>
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<img src="https://weathernavigation.com/images/banner-aei.png" alt="Banner AEI" style="width: 100%; height: auto;"/>
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<p align="center"><img src="https://weathernavigation.com/images/banner.png" alt="Banner" width="100%"/></p>

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