Dataset for "Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations"

The dataset includes results from a global inversion of GOSAT methane observations documented in Zhang et al. (2021). The inversion is performed with the GEOS-Chem model for the period of 2010-2018. We optimize mean and trend of non-wetland emissions, monthly wetland emissions for 14 subcontinental regions, and annual hemispheric OH concentrations (methane loss rates). Sector attribution of posterior non-wetland emissions in a 4^ox5^ogrid cell is done on the basis of the relative contribution of a sector to prior emissions in the grid cell. Detailed description of the methodology can be found in Zhang et al. (2021). <strong>Reference</strong> Zhang et al., <strong>Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations</strong>, <em>Atmos. Chem. Phys.</em>, 21, 3643–3666, https://doi.org/10.5194/acp-21-3643-2021, 2021. <strong>Date files</strong> The dataset includes 4 files: 1. <strong>GlobalInv_v1.nc</strong> is the main data file, which includes (1) prior estimates (prior_value), (2) posterior scaling factor (post_sf), (3) prior error covariance matrix (prior_errcov), (4) posterior error covariance matrix (post_errcov), and (5) averaging kernel matrix (post_ak) for the state vector. All the values are expressed relative to prior_values, except for prior_value which is expressed in absolute magnitude. 2. <strong>State_vec.csv</strong> is a table which indexes the state vector elements, for non-wetland emission (PertA) (1-1009), non-wetland emission trends (PertT) (1010-2018), wetland emissions (PertW) (2019-3530), and hemispheric OH (PertN for Northern Hemisphere and PertS for Southern Hemisphere) (3531-3548). 3. <strong>Clusters_nonwetland.nc</strong> contains a 72x46 matrix (corresponding to GEOS-Chem 4x5 degree grid) that maps grid cells to non-wetland emission grid-cell ID. 4. <strong>Clusters_wetland.nc</strong> contains a 72x46 matrix (corresponding to GEOS-Chem 4x5 degree grid) that maps grid cells to wetland emission region ID. <strong>Derived dataset </strong> We also derive a <strong>sectoral monthly gridded methane flux</strong> dataset based on the inversion results archived here. This gridded flux dataset is deposited in a separate repository (https://doi.org/10.57760/sciencedb.02328) (in Aug 2022). The gridded dataset represents the best estimate from this inversion but includes no information about error metrics (e.g., posterior error covariance).