数据和代码 Resources
Source code for GEOS-Chem v12.9.3 with C13-CH4 Isotope and C2H6 Extensions
Code for “Zhao et al., 2026, Underestimated Methane Emissions from Natural Gas Consumption in the Yangtze River Delta cities of China, Nature Cities”
Code repository: Github
2012–2021 global gridded methane and ethane emission inventory for fossil fuel sources
Auxiliary data for “Zhao et al., 2026, Underestimated Methane Emissions from Natural Gas Consumption in the Yangtze River Delta cities of China, Nature Cities”
Dataset DOI: ScienceDB
Datasets for Sentinel-2 methane point source detection
Auxiliary data for “Zhao et al., 2025, PlumeBed: A multispectral satellite methane plume detector enabled by transfer learning of a multi-source hyperspectral dataset. JGR-A”
Dataset DOI: ScienceDB
Auxiliary data for “Zhao et al., 2025, PlumeBed: Deep transfer learning assisted detection of methane super-emitters in oil and gas fields using Sentinel-2 observations. ACP”
Dataset DOI: ScienceDB
2021 methane emissions from Northeast China derived from TROPOMI observations
Auxiliary data for “Liang et al., 2024, Satellite-Based Monitoring of Methane Emissions from China’s Rice Hub. ES&T”
Dataset DOI: ScienceDB
2010-2017 China's methane emissions
Auxiliary data for “Zhang et al., 2022, Observed Changes in China’s Methane Emissions Linked to Policy Drivers. PNAS”
Dataset DOI: ScienceDB
2010-2018 global methane emissions
Auxiliary data for “Zhang et al., 2021, Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations. Atmos. Chem. Phys.”
Raw dataset (presented as the state vector and error covariance of the inversion): Zenodo
Processed dataset (presented as monthly emission fluxes in a 4x5 degree grid): ScienceDB
Bottom-up and top-down methane emission estimates over the Permian Basin
Auxiliary data for “Zhang et al., 2020, Quantifying methane emissions from the largest oil-producing basin in the United States from space. Science Advances”
Dataset DOI: https://doi.org/10.7910/DVN/NWQGHU
Global ammonia emissions derived from IASI observations
Auxiliary code and data for “Luo et al., 2022, Estimating global ammonia (NH3) emissions based on IASI observations from 2008 to 2018. Atmos. Chem. Phys.”
