Local Weather and Global Climate Data-Driven Long-Term Runoff Forecasting Based on Local–Global–Temporal Attention Mechanisms and Graph Attention Networks

The accuracy of long-term runoff models can be increased through the input of local weather variables and global climate indices. However, existing methods do not effectively extract important information from complex input factors across various temporal and spatial dimensions, thereby contributing...

Full description

Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Binlin Yang, Lu Chen, Bin Yi, Siming Li, Zhiyuan Leng
Format:	Article
Language:	English
Published:	MDPI AG 2024-09-01
Subjects:	monthly runoff prediction long-short term memory remotely-sensed elevation information local attention global attention temporal attention
Online Access:	https://www.mdpi.com/2072-4292/16/19/3659