Model Results for Deep-Learning-Based error Correction of FVCOM Sea Surface Temperature

This repository contains the model results generated for the study of deep-learning-based bias correction of sea surface temperature (SST) simulations from the Finite Volume Community Ocean Model (FVCOM) in the Bohai and Yellow Seas.The dataset includes the model outputs and associated results used for model evaluation and analysis. These results correspond to the deep-learning models described in the accompanying research article and were generated using the code provided in the associated GitHub repository.The dataset is provided to support the reproducibility, verification, and further analysis of the results presented in the study.