Univariate deep learning framework for short-term SST forecasting at high spatio-temporal scales

Univariate deep learning framework for short-term SST forecasting at high spatio-temporal scales

We present a univariate hybrid machine learning framework to predict daily high resolution Sea Surface Temperature (SST) near the Gulf of Kutch region at a resolution of ∼5.5 km. The hybrid model integrates Intrinsic Mode Functions (IMF) derived from variational mode decomposition with a Long Short-...

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Bibliographic Details
Main Authors: Jagdish Prajapati, Balaji Baduru, Athul C R, Biswamoy Paul, Vinod Daiya, Arya Paul
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Communications
Subjects:
data-driven forecasting
deep-learning
long short term memory
sea surface temperature
variational mode decomposition
Online Access:https://doi.org/10.1088/2515-7620/ade7d6
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