Iterative integration of deep learning in hybrid Earth surface system modelling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nature and Landscape Conservation,Atmospheric Science,Earth-Surface Processes,Pollution
Link
https://www.nature.com/articles/s43017-023-00452-7.pdf
Reference171 articles.
1. Steffen, W. et al. The emergence and evolution of Earth system science. Nat. Rev. Earth Environ. 1, 54–63 (2020).
2. Bowman, D. M. et al. Vegetation fires in the Anthropocene. Nat. Rev. Earth Environ. 1, 500–515 (2020).
3. Zipkin, E. F. et al. Addressing data integration challenges to link ecological processes across scales. Front. Ecol. Environ. 19, 30–38 (2021).
4. Knight, J. & Harrison, S. The impacts of climate change on terrestrial Earth surface systems. Nat. Clim. Change 3, 24–29 (2013).
5. Chen, M. et al. Geographic modeling and simulation systems for geographic research in the new era: some thoughts on their development and construction. Sci. China Earth Sci. 64, 1207–1223 (2021).
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