James Mason PhD thesis supplementary information

The supplementary information is available through the DOI: 10.17632/4xt8v6mtys.1 on Mendeley Data. The repository contains the following folders: ECMWF wind data, OSCAR currents data, shoreline dataset, Python code, Blue Wasp SPP model, HPC input files global run, HPC input files North Atlantic run and HPC input files IMO comparison run. The ECMWF wind data folder contains all the wind data used in the thesis. It has 2-degrees spatial resolution and is broken down into months from 01/2015 to 01/2019. The OSCAR currents data folder contains one file that has all the currents data used in this thesis. The Python code folder has the code that runs the voyage optimisation software. It contains the following files: Main code – “ECMWFDataAccess_v11_main_MobaXterm.py” Optimisation algorithms – “three_dimensional_optimisation_v1_MobaXterm.py”, “two_d_dynamic_programming.py”, “Dijkstra_forecast_heuristic_v2_MobaXterm.py”, “speed_optimisation_v3_MobaXterm.py” Grid creation – “DP_grid_MobaXterm.py”, “DP_novel_grid.py”, “gcr_equation_calculation_MobaXterm.py”, “three_dimensional_DP_grid_MobaXterm.py” Weather data upload – “weather_data_forecast_upload_MobaXterm.py”, “weather_data_file_upload_MobaXterm.py” Post-processing files (e.g. route plotting) – “plot_all_routes.py”, “plot_multiple_routes.py”, “plot_multiple_routes_north_atlantic.py” SPP integration – “ppp_input_MobaXterm.py” Additional files ensure the running of the code e.g. through classes, definition of constants, or integrating the code with the HPC The Blue Wasp SPP model folder contains all the ship performance prediction (SPP) data from Blue Wasps model. This is for both the wind-assisted ship and the reference ship with no wind propulsion. A flag file is also shown, which describes when the ship should speed up (shown by a 2) or slow down (shown by a 1). The final three folders contain the text files that are uploaded to the High Performance Computer (HPC). These run the simulations in batches. Each file is one batch