Data produced for the uncertainty analysis of the model-data integration approach described in Bultan et al.,2022. Description Variables: - Agreement_trends_BioC: Agreement in terms of trends between the assimilated time series of woody vegetation carbon in the bookkeeping model BLUE and the 'original' observation-based woody vegetation carbon time series by Xu et al.,2021. Agreement is calculated between 2000 and 2019 as the number of years showing the same trend in both datasets related to the previous year (e.g. increase or decrease in woody vegetation carbon) divided by the total number of years. Units are in percent. Variable is included in the File ‘Evaluation_trends_biomass_carbon_BLUE.nc’. - Assimilation_bias: Difference between the assimilated time series of woody vegetation carbon in the bookkeeping model BLUE and the 'original' observation-based woody vegetation carbon time series by Xu et al.,2021, averaged between 2000 and 2019. Larger (absolute) differences indicate larger model uncertainties in BLUE. Negative values indicate that there is less woody vegetation carbon in the assimilated dataset than in the original dataset, whereas positive values indicate that there is more woody vegetation carbon in the assimilated dataset than in the original dataset. Units are in t ha-1. Variable is included in the File ‘Biomass_assimilation_bias_BLUE.nc’. - cell_area: Grid cell area. Units are in ha. Variable is included in the File ‘Biomass_assimilation_bias_BLUE.nc’.
[ Derived from parent entry - See data hierarchy tab ]
Bultan, Selma; Pongratz, Julia (2022). Tracking 21st century anthropogenic and natural carbon fluxes through model-data integration. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/MoDataInToTr21stCLandFl