A machine learning framework for sea surface salinity prediction at daily and hourly scales
收藏Zenodo2025-12-09 更新2026-05-26 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.17864775
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资源简介：
lstm_vmd_parallel_sss.pyPython script implementing an LSTM model combined with Variational Mode Decomposition (VMD) for predicting sea-surface salinity (SSS).
salt_actual_preds_2020.ncNetCDF file containing actual and LSTM-predicted daily sea-surface salinity over the Bay of Bengal for the year 2020.
Obs_mooring_data_17.8n89.5e.csvIn-situ mooring measurements of sea-surface salinity recorded at 17.8° N, 89.5° E from January to May 2020.
sss_predictions_mooring_may2020.csvHourly predictions of sea-surface salinity from lstm model at 17.8° N, 89.5° E for May 2020.
提供机构：
Zenodo
创建时间：
2025-12-09
