Short-Term Storm Surge Prediction Using the LSTM on Myanmar Coastal Region

The height of the water above the typical expected astronomical tide is known as storm surge, and it is the extraordinary rise in the sea surface that occurs during a storm.The surge is brought on by storm winds pushing water ashore.The angle of the coast line with the storm track, the storm's intensity, speed, and size, as well as the local bathymetry, all influence the storm surge amplitude at any given location.The coastal areas are especially vulnerable to the tropical cyclones.Southeast Asian coastal regions, including Bangladesh, India, Sri Lanka, Myanmar, and Pakistan, frequently experience storm-related storm surges.The long short-term memory (LSTM) algorithm is utilized to analyze sequential data, allowing for rapid processing of historical data and generating highly accurate predictions.In this paper, the model for prediction of storm diameter, wind direction and height of storm surge is proposed.This model leverages a LSTM approach, known for its effectiveness and accuracy in such implementations.In applying this, the storm surges that occur in the coastal areas of Myanmar are predicted using a Long Short-term memory neural network.