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Results

7 results found for "*:*"
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MODALC (Model-data integration to assess land carbon fluxes)
Summary
This project is embedded in the project 'High-resolution monitoring of avoided carbon emissions and carbon restoration potentials from land use change', funded by German Stifterverband für die Deutsche
Project
MODALC (Model-data integration to assess land carbon fluxes)
Creation Date
2022-06-20T07:58:52Z
[Entry acronym: MODALC] [Entry id: -2000231] [ Score: 30.873304]
Model-data integration to track 21st century land carbon fluxes
Identifier
https://www.wdc-climate.de/ui/entry?acronym=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
2022-06-20T07:58:52Z
Temporal Coverage
2000-12 TO 2019-12
Spatial Coverage
Longitude: -180.00, 180.00 Latitude: -90.00, 90.00
Status
metadata only
[Entry acronym: MoDataInToTr21stCLandFl] [Entry id: 3907400] [ Score: 16.745316]
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
  • Spearman_correlation_forest_bioC_Ta
  • p_value
  • Spearman_correlation_forest_bioC_P
Code Type
NONE
Creation Date
2022-06-20T13:58:40Z
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
metadata only
Format
NetCDF
[Entry acronym: MoDataInToTr21stCLandFlCBCVarAn] [Entry id: 3907404] [ Score: 1.9638152]
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
SLAND_B_regs
Code Type
NONE
Creation Date
2022-06-20T13:58:29Z
Temporal Coverage
2001-12 TO 2018-12
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Status
metadata only
[Entry acronym: MoDataInToTr21stCLandFlReEnFl] [Entry id: 3907405] [ Score: 1.9638149]
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
  • ELUC_fix
  • ELUC_transient
Code Type
NONE
Creation Date
2022-06-20T13:52:51Z
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
metadata only
Format
NetCDF
[Entry acronym: MoDataInToTr21stCLandFlAnFl] [Entry id: 3907403] [ Score: 1.963805]
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
SLAND_B
Code Type
NONE
Creation Date
2022-06-20T13:52:51Z
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
metadata only
Format
NetCDF
[Entry acronym: MoDataInToTr21stCLandFlEnFl] [Entry id: 3907402] [ Score: 1.963805]
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
  • Assimilation_bias
  • Agreement_trends_BioC
Code Type
NONE
Creation Date
2022-06-20T13:52:51Z
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
metadata only
Format
NetCDF
[Entry acronym: MoDataInToTr21stCLandFlUn] [Entry id: 3907401] [ Score: 1.963805]