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-...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

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

Similar Items