Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 10
Articles | Volume 18, issue 10
https://doi.org/10.5194/essd-18-7367-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-7367-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 10
Data description article
 | 
07 Oct 2026
Data description article |  | 07 Oct 2026

Improved estimation of net ecosystem CO2 exchange over North America using LSTM-based flux upscaling (2001–2021)

Chengcheng Huang, Wei He, Brendan Byrne, Ngoc Tu Nguyen, Jingfeng Xiao, Hua Yang, Philippe Ciais, Songhan Wang, Xing Li, Han Ma, Peipei Xu, Mengyao Zhao, Hui Chen, and Weimin Ju

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Short summary
We created MemoryFlux, a new dataset that showed how ecosystems across North America absorbed and released carbon from 2001 to 2021. Using a deep-learning approach trained on historical climate and environmental conditions, we improved estimates of land carbon exchange and captured carbon anomalies associated with major droughts and floods. MemoryFlux provides a more reliable view of carbon cycling and improves our understanding of how ecosystems respond to a changing climate.
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