HyTC-TaNet: A Hybrid Deep Learning Model Capturing Multi-day Temporal Dependencies for Daily Mean Air Temperature Estimation with Spatial Applicability Analysis

HyTC-TaNet: A Hybrid Deep Learning Model Capturing Multi-day Temporal Dependencies for Daily Mean Air Temperature Estimation with Spatial Applicability Analysis

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

Li Liu, Cian Yuan, Jingfeng Huang, Yi Yu, Pan Shao, Junbo Yu, Lu Wang, Ran Huang, Dong Ren, Thomas F. A. Bishop

Abstract

DOI

https://doi.org/10.31223/X5DQ9S

Subjects

Agriculture, Artificial Intelligence and Robotics

Keywords

Air temperature estimation, Temporal dependency, Hybrid Transformer network, Multi-day Land surface temperature, optimal temporal sequenceArea of applicability (AOA)

Dates

Published: 2026-01-06 06:29

Last Updated: 2026-01-06 06:29

License

CC BY Attribution 4.0 International

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Downloads: 5