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6 results found for "*:*"
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Model-data integration to track 21st century land carbon fluxes
Identifier
doi:10.26050/WDCC/MoDataInToTr21stCLandFl
Summary
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
Project
MODALC (Model-data integration to assess land carbon fluxes)
Authors
Bultan, Selma; Pongratz, Julia
Keywords
  • 21st century
  • biogeochemistry
  • fixed climate and CO2
  • model-data integration
  • transient climate and CO2
Creation Date
2022-06-20
Temporal Coverage
2000-12 TO 2019-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
Status
completely archived
[Entry acronym: MoDataInToTr21stCLandFl] [Entry id: 3907400] [ Score: 22.106865]
Model-data integration to track 21st century land carbon fluxes: Correlations between climate variables and vegetation carbon
Summary
Spearman rank correlation coefficient between annual anomalies in forest biomass carbon and a) annual anomalies in mean air temperature and b) annual anomalies in total precipitation (Bultan et al.,2022).
Project
MODALC (Model-data integration to assess land carbon fluxes)
Variables
  • air_temperature and forest biomass carbon (Spearman_correlation_forest_bioC_Ta)
  • p_value
  • precipitation and forest biomass carbon (Spearman_correlation_forest_bioC_P)
Creation Date
2022-06-20
Temporal Coverage
2000-12 TO 2019-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
15.87 MiB (16645228 Byte)
Format
NetCDF
[Entry acronym: MoDataInToTr21stCLandFlCBCVarAn] [Entry id: 3907404] [ Score: 1.3614867]
Model-data integration to track 21st century land carbon fluxes: Regional environmental carbon fluxes
Summary
Regional carbon fluxes from woody vegetation due to environmental processes produced by the model-data integration approach described in Bultan et al.,2022.

Description Variables:

- SLAND_B_regs: Aggregation
Project
MODALC (Model-data integration to assess land carbon fluxes)
Variables
carbon_mass_flux (SLAND_B_regs)
Creation Date
2022-06-20
Temporal Coverage
2001-12 TO 2018-12
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
11.62 KiB (11897 Byte)
Format
NetCDF
[Entry acronym: MoDataInToTr21stCLandFlReEnFl] [Entry id: 3907405] [ Score: 1.3614866]
Model-data integration to track 21st century land carbon fluxes: Anthropogenic carbon fluxes
Summary
Carbon fluxes due to anthropogenic land use and land cover changes with (ELUC_trans) and without (ELUC_fix) environmental impacts on woody vegetation carbon produced by the model-data integration approach
Project
MODALC (Model-data integration to assess land carbon fluxes)
Variables
  • carbon_mass_flux (ELUC_fix)
  • carbon_mass_flux (ELUC_transient)
Creation Date
2022-06-20
Temporal Coverage
2000-12 TO 2019-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
158.23 MiB (165921294 Byte)
Format
NetCDF
[Entry acronym: MoDataInToTr21stCLandFlAnFl] [Entry id: 3907403] [ Score: 1.3614852]
Model-data integration to track 21st century land carbon fluxes: Environmental carbon fluxes
Summary
Carbon fluxes from woody vegetation due to environmental processes produced by the model-data integration approach described in Bultan et al.,2022.

Description Variables:

- SLAND_B: Carbon flux from
Project
MODALC (Model-data integration to assess land carbon fluxes)
Variables
carbon_mass_flux (SLAND_B)
Creation Date
2022-06-20
Temporal Coverage
2001-12 TO 2018-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
71.21 MiB (74667906 Byte)
Format
NetCDF
[Entry acronym: MoDataInToTr21stCLandFlEnFl] [Entry id: 3907402] [ Score: 1.3614852]
Model-data integration to track 21st century land carbon fluxes: Uncertainties
Summary
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
Project
MODALC (Model-data integration to assess land carbon fluxes)
Variables
  • cell_area
  • woody vegetation carbon stocks (Assimilation_bias)
  • woody biomass (Agreement_trends_BioC)
Creation Date
2022-06-20
Temporal Coverage
2000-12 TO 2019-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
completely archived
Datasize
11.90 MiB (12480030 Byte)
Format
NetCDF
[Entry acronym: MoDataInToTr21stCLandFlUn] [Entry id: 3907401] [ Score: 1.3614852]