A time series of 21st century observation-based woody vegetation carbon stocks (Xu et al.,2021; https://www.science.org/doi/10.1126/sciadv.abe9829) was assimilated into the bookkeeping model BLUE ('bookkeeping of land use emissions') (Hansis et al.,2015; https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2014GB004997). Two data-integration experiments were performed to isolate anthropogenic and natural carbon fluxes. The 'transient' experiment relies on assimilating the time series of observation-based vegetation carbon stocks at each (annual) time step in BLUE. In the 'transient' experiment, changes in woody vegetation carbon between two time steps are due to the combination of environmental and anthropogenic processes. In the 'fixed' experiment, the time series of observation-based woody vegetation carbon is only assimilated in BLUE at the first time step and changes in woody vegetation carbon between two time steps are only due to anthropogenic processes. The environmental carbon fluxes were subsequently derived by taking the difference in vegetation carbon stocks between the transient and fixed experiments. All spatially explicit variables are on a geographical latitude-longitude grid with a resolution of 0.25°.
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
The model documentation for BLUE is available at: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2014GB004997.
The spatial resolution is 0.25° (on a geographic latitude-longitude grid) and the temporal coverage is annually. The main inputs to the model are the historical land use and land cover changes based on the LUH2 database (https://luh.umd.edu) and soil and vegetation carbon densities with different response curves describing the fate of carbon over time for different plant functional types and different land cover types (for further details see technical documentation). The model was initialised in AD 800 and was run annually until 2019. From 2000 onwards observation-based woody vegetation carbon stocks (based on Xu et al.,2021) were assimilated in BLUE. The units of all carbon_mass_flux variables are provided as carbon flux per year in Pg (PgC yr-1)
FAIR
F-UJI result: total 66 %
Description
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 5 of 10 level
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2022-07-26
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
Description
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The temporal coverage description (metadata) is consistent to the data: passed; 6. The format is correct: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
[1] DOIHansis, Eberhard; Davis, Steven J.; Pongratz, Julia. (2015). Relevance of methodological choices for accounting of land use change carbon fluxes. doi:10.1002/2014gb004997
Is derived from
[1] DOIXu, Liang; Saatchi, Sassan S.; Yang, Yan; Yu, Yifan; Pongratz, Julia; Bloom, A. Anthony; Bowman, Kevin; Worden, John; Liu, Junjie; Yin, Yi; Domke, Grant; McRoberts, Ronald E.; Woodall, Christopher; Nabuurs, Gert-Jan; de-Miguel, Sergio; Keller, Michael; Harris, Nancy; Maxwell, Sean; Schimel, David. (2021). Changes in global terrestrial live biomass over the 21st century. doi:10.1126/sciadv.abe9829