Project runned in "classes préparatoires aux grandes écoles".

It has never been achieved due to the COVID-19 issue.

The goal of this project was to replicate the mechanical tide prediction machine created by Lord Kelvin in 1875 and analyse its reliability by comparing it to a numerical prediction model I coded in Python.

The code theoretically works but I didn't created a documentation since the project has been interrupted by COVID-19. The prediction model uses historical datas of water level at the port of Seattle, provided by the Shom.

[1] Le shom, Traitement, http://refmar.shom.fr/documents/10227/789220/traitement.pdf

[1 bis] Le Shom, Généralité, http://refmar.shom.fr/documents/10227/789220/generalite.pdf

[3] A. Juhel, « Kelvin, l’analyse harmonique et les marées », http://www.mathouriste.eu/Fourier/Fourier_marees.html

[4] William Thomson, Mathematical & Physical Papers (1911), vol. 6, Cambridge University Press, page 272-297, consulté entre 04/2019 et 12/2019

[5] H. de MORIN, Les Appareils d'Intégration (1913), Gauthier-Villars, page 157-162, consulté entre 04/2019 et 12/2019

[6] American Mathematical Society, JAVA simulation of Kelvin’s Tide Predicting Machine : http://www.ams.org/publicoutreach/feature-column/fcarc-tidesiii2, consulté entre 04/2019 et 12/2019

[7] M.G.G. Foreman, Manual for tidal heights analysis and prediction (1977), Institute of Ocean sciences : https://www.researchgate.net/publication/240106566_Manual_for_Tidal_Heights_Analysis_and_Prediction, consulté entre 10/2019 et 12/2019

[8] National Oceanic and Atmospheric Administration, data of the water level of Seattle : https://tidesandcurrents.noaa.gov/waterlevels.html?id=9447130, consulté entre 09/2019 et 01/2020