Predicting the propagation track of internal solitary waves in the Sulu Sea

The data and codes for manuscript submitted to Geophysical Research Letters. Manuscript title:"Predicting internal solitary waves propagation track in the Sulu Sea using deep learning and time-series imagery from tandem Geostationary Orbit Satellites"; by (Longyu Huang, Jingsong Yang, Lin Ren, Zetai Ma, Peng Chen, Shuangyan He, Bingqing Liu and Antony K. Liu) File: 1. \ISW_4h_observation The 4h satellite observation data by FY-4A and GK-2A for ISWs in the Sulu Sea, with the format ".tiff"; 2. \gebco_depth The water depth from GEBCO_2023 Grid dataset, with the format ".nc"; 3. \woa_mlt The mixed layer thickness from World Ocean Atlas 2018 (WOA18) dataset, with the format ".nc"; 4. \hycom_current The current field from HYCOM's Global Ocean Forecasting System (GOFS) 3.1 dataset, with the format ".nc"; 5. \short_long_predict \long The predicted locations of ISWs for long term, with the format '.npy'; \short The predicted locations of ISWs for short term, with the format '.npy'; \fig2.py The code for Figure 2 in the manuscript; \gebco_2023_n12.0_s4.0_w116.0_e124.0.nc The depth file for Figure 2 in the manuscript; 6. \spatial_error_distribution \error The predicted error for distance, propagation speed and direction; \fig3.py The code for Figure 3 in the manuscript; \gebco_2023_n12.0_s4.0_w116.0_e124.0.nc The depth file for Figure 3 in the manuscript;