A global 0.05° gross primary production dataset from 2001 to 2024 generated using a hybrid LSTM framework
fertilization effects. TRAX GPP dataset aligns well with tower flux measurements and outperforms standard LSTM models in capturing both seasonal dynamics and interannual fluctuations. Compared with previous GPP products, TRAX GPP alleviates the common biases in global GPP totals and interannual trends. This dataset provides a new pathway for global GPP estimation and supports refined monitoring of terrestrial carbon dynamics.
Authors
- Qizhi Han (ORCID: https://orcid.org/0009-0005-3419-0118)
- X H Liu
- Shaoyang Chen
- Yanhong Wu
- Liangyun Liu
Institutions
- Chinese Academy of Sciences (CN)
- Beijing Normal University (CN)
- Beijing Institute of Big Data Research (CN)
- Institute of Remote Sensing and Digital Earth (CN)
- Aerospace Information Research Institute (CN)
- University of Chinese Academy of Sciences (CN)
- State Key Laboratory of Remote Sensing Science (CN)
Publication Details
- Journal
- Scientific Data
- Published
- 2026-04-16
- DOI
- https://doi.org/10.1038/s41597-026-07046-0
- Primary Topic
- Plant Water Relations and Carbon Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China