JSBACH 3.2 TRENDY v12 simulations for the Global Carbon Budget 2023 (Friedlingstein et al., 2023)

Pongratz, Julia; Falk, Stefanie

Dataset
Summary
Each year (in ~July/August) the TRENDY group runs their DGVMs (to the end of the previous year) in support of the Global Carbon Budget (GCB) annual assessment. TRENDY is currently led by Stephen Sitch, with GCB led by Pierre Friedlingstein (Exeter). https://doi.org/10.5194/essd-15-5301-2023

TRENDY delivers global & regional – Northern, tropics, southern- NBP data from all models for the GCB ESSD publication (these regional data are then freely available). However TRENDY models output a wider range of carbon and hydrological data (e.g. all gridded data) which are available for spin-off studies. The modelling teams have priority, but these data are also available to external collaborators on agreement (for further information see https://blogs.exeter.ac.uk/trendy/).

This dataset includes the contribution of MPI-ESM/JSBACH3.2 to TRENDY project cycle v12 (experiments S0-S3) and a simulation protocol / README.
Project
DKRZ_lta (Long-term Archiving of Climate Model Data at WDC Climate and DKRZ (DOKU))
Additional Information
report_0891.pdf
Report_2018_FOM.pdf
Report_2019_FOM.pdf
abstract_0891.pdf
Spatial Coverage
Longitude -180 to 178.13 Latitude -88.57 to 88.57
Temporal Coverage
1700-01-01 to 2022-12-31 (proleptic_gregorian)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
DOKU at DKRZ
Access constraints
registered users
Size
19.35 GiB (20782023091 Byte)
Format
tar-File(s)
Status
completely archived
Creation Date
Future Review Date
2034-02-10
Download Permission
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Cite as
Pongratz, Julia; Falk, Stefanie (2024). JSBACH 3.2 TRENDY v12 simulations for the Global Carbon Budget 2023 (Friedlingstein et al., 2023). DOKU at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=DKRZ_LTA_891_ds00016

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Parent

JSBACH 3.2 TRENDY simulations for the Global Carbon Budget
Details
[Entry acronym: DKRZ_LTA_891_ds00016] [Entry id: 5274760]