A global 0.05° gross primary production dataset from 2001 to 2024 generated using a hybrid LSTM framework.

Shaoyang Chen, Xinjie Liu, Qizhi Han, Yanhong Wu, Liangyun Liu

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Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Shaoyang ChenKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.

Xinjie LiuKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China. liuxj@radi.ac.cn.

Qizhi HanKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.

Yanhong WuKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.

Liangyun LiuInternational Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.

Funding

the National Natural Science Foundation of China No. 42425001

6 · The paper itself

Abstract

Gross primary production (GPP), the total carbon fixed through plant photosynthesis, is a central component of the global energy and carbon cycles. While substantial divergences persist among inter-model GPP estimates, especially in their seasonal and interannual behaviours, more precise estimation approaches are urgently required. The present study introduces TRAX GPP, a new global GPP dataset with 0.05° spatial resolution and monthly coverage from 2001 to 2024. The dataset is generated using a hybrid Long Short-Term Memory (LSTM) framework that integrates Robust Seasonal-Trend decomposition (RSTL) with a loss function optimized for temporal learning. The model integrates satellite-derived vegetation and meteorological drivers, further enhanced by atmospheric CO

Identifiers

PMID41991923

DOI10.1038/s41597-026-07046-0

PMCPMC13260821

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.