Deep learning for spatiotemporal forecasting in Earth system science: a review

Deep learning (DL) has demonstrated strong potential in addressing key challenges in spatiotemporal forecasting across various Earth system science (ESS) domains. This review examines 69 studies applying DL to forecasting tasks within climate modeling and weather prediction, disaster management, air...

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Hlavní autoři:	Manzhu Yu, Qunying Huang, Zhenlong Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2024-12-01
Edice:	International Journal of Digital Earth
Témata:	Deep learning spatiotemporal forecasting Earth system science review
On-line přístup:	https://www.tandfonline.com/doi/10.1080/17538947.2024.2391952
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