ST-MSRN: An enhanced spatio-temporal super-resolution model for complex meteorological data reconstruction

The application of AI and machine learning techniques to meteorological data has significantly enhanced the accuracy and response speed of extreme weather warnings, as well as the analysis of climate trends. However, the existing climate models suffer from constraints imposed by computational resour...

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Bibliografiske detaljer

Principais autores:	Ping Mei, Zhi Yang, Changzheng Liu, Lei Wang, Zixin Yin
Format:	Artigo
Sprog:	Inglês
Udgivet:	Taylor & Francis Group 2025-10-01
Serier:	Big Earth Data
Fag:	Meteorological super-resolution spatio-temporal feature reconstruction multi-scale residual feature blocks channel stacking mechanism spatio-temporal heterogeneity
Online adgang:	https://www.tandfonline.com/doi/10.1080/20964471.2025.2540712
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