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;