Project Credits

Developer & Authors

Attribution for the Carbon Transformer manuscript, Carbon-transformer Platform, Carbon Bot, and CT-ACE monthly product.

Carbon-transformer Platform

Carbon Transformer research packaged as an interactive monitoring and analysis system.

Carbon-transformer Platform combines CT-ACE monthly rasters, administrative-region analytics, and Carbon Bot into one deployable workflow for querying, visualizing, and explaining anthropogenic CO2 emissions.

Manuscript

Carbon Transformer

Near real time tracking of global anthropogenic CO2 emissions constrained by satellite NO2 observations.

Authors
Xiaoyu Chen, Liangyun Liu, Yucong Zhang, Shanshan Du, Liping Lei, Yanhong Wu, and Yirong Wu
Status
Manuscript under submission; DOI: TBA
Corresponding author
Liangyun Liu ([email protected])
Affiliations
CAS AIR, Beijing Normal University, CBAS, and University of Chinese Academy of Sciences

Corresponding Author

Liangyun Liu

Professor at Beijing Normal University [email protected]

Profile
Liangyun Liu is a professor at Beijing Normal University, recipient of the National Science Fund for Distinguished Young Scholars, national leading talent in scientific and technological innovation, and principal investigator of national key R&D projects. He serves as Executive Editor-in-Chief of Journal of Remote Sensing and on editorial boards including Scientific Data and Fundamental Research.

Engineering

Xiaoyu Chen

Independently developed Carbon-transformer Platform, Carbon Bot, and the CT-ACE product production workflow.

Profile
Graduate student at Aerospace Information Research Institute, Chinese Academy of Sciences

Data Product

CT-ACE Monthly Product

Monthly 0.25 degree global land emission rasters produced from the Carbon Transformer workflow.

Producer
Xiaoyu Chen
Coverage
2019-01 to 2026-04 in the local demo
Format
Monthly global GeoTIFF, Tons CO2 per month

Citation & Status

Use manuscript and product context together.

For exported maps, trend figures, regional statistics, or Carbon Bot explanations, cite the Carbon Transformer manuscript and identify the CT-ACE month, region, metric, and access date. The manuscript is currently under submission; use DOI: TBA until a formal DOI is assigned.