Improved Storm Surge Prediction and Extreme Sea Level Future Projections in the Indian Ocean using Deep Learning

LSTM-Based Storm Surge Data Reconstruction and Climate Projections for 29 Tide Gauge Locations in the Indian Ocean IOSSR – Indian Ocean Storm Surge Reconstruction:This dataset provides hourly storm surge reconstructions from 1979 to 2021 at 29 tide gauge locations across the Indian Ocean. Reconstructions are generated using a data-driven Long Short-Term Memory (LSTM) deep learning model. The model uses atmospheric predictors from the ERA5 reanalysis dataset, including wind speed, sea-level pressure, and air temperature. Historical and Future Climate Projections:Storm surge projections (1979-2100) are produced using the LSTM model driven by bias-corrected predictors from Coupled Model Intercomparison Project Phase 6 (CMIP6) climate model ensemble. The predictor data for CMIP6 models are sourced from Xu et al., 2021, who compiled an ensemble dataset using outputs from 18 CMIP6 models. The projections include: Hist: Historical period simulation using CMIP6 predictors. SSP2-4.5: A moderate-emissions scenario reflecting middle-of-the-road development pathways. SSP5-8.5: A high-emissions scenario based on continued reliance on fossil fuels. Projections of ESL100 along tide gauge locations in the Indian Ocean.The projections include the 17th, 50th, and 83rd percentiles of ESL100 each year under SSP585. Reference:- Xu, Z., Han, Y., Tam, CY. et al. Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979–2100). Sci Data 8, 293 (2021). https://doi.org/10.1038/s41597-021-01079-3