Dataset and Figure Generation Code for: Unveiling the Potential of End-to-End Ocean Wave Modeling via a Hybrid Framework

Description This repository contains the complete dataset of model predictions and the Python scripts required to reproduce all figures and analyses presented in the manuscript: "Unveiling the Potential of End-to-End Ocean Wave Modeling via a Hybrid Framework". The data and code are provided within the 'NWM_Results_and_Code.zip' archive. Package Contents 1. '/Results' (Folder): This folder contains the full set of model prediction results in NetCDF ('.nc') format. The sub-folders are organized by model ('NWM', 'EF', 'UNet', 'NWM_dynamic') and then by experimental setup, as detailed in the manuscript. 2. '/Figure_generation_codes' (Folder): This folder contains all the Python scripts ('.py') used to generate the figures presented in the paper from the data in the '/Results' folder. A 'requirements.txt' file is included, listing all necessary Python packages to run these scripts. How to Reproduce the Figures Decompress the '.zip' archive. Navigate to the 'Figure_generation_codes' directory. Install the required dependencies by running the command: 'pip install -r requirements.txt' Run the individual plotting scripts to generate the corresponding figures from the paper. Please see the comments within each script for details. Disclaimer Please note that this archive ensures the full reproducibility of all presented results and figures. It does not contain the training or inference source code for the Neural Wave Model (NWM) itself, as this is part of ongoing research.