File

orchidee-mict_gswp3-w5e5_counterclim_histsoc_default_csoillayer-slow-total_global_annual_1901_2019.nc

ISIMIP3a OutputData biomes fire permafrost gswp3-w5e5 historical orchidee-mict csoillayer 20240731

Cite as

Chantelle Burton, Li Fang, Stijn Hantson, Matthew Forrest, Anna Bradley, Eleanor Burke, Jinfeng Chang, Yue Chao, Philippe Ciais, Huilin Huang, Akihiko Ito, John Kim, Sian Kou-Giesbrecht, Lars Nieradzik, Kazuya Nishina, Sebastian Ostberg, Qing Zhu, Christopher P.O. Reyer (2025): ISIMIP3a Simulation Data from the Fire Sector (v1.1). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.446106.1

Properties

  • Path
    ISIMIP3a/OutputData/biomes/ORCHIDEE-MICT/gswp3-w5e5/historical/orchidee-mict_gswp3-w5e5_counterclim_histsoc_default_csoillayer-slow-total_global_annual_1901_2019.nc ISIMIP3a/OutputData/fire/ORCHIDEE-MICT/gswp3-w5e5/historical/orchidee-mict_gswp3-w5e5_counterclim_histsoc_default_csoillayer-slow-total_global_annual_1901_2019.nc ISIMIP3a/OutputData/permafrost/ORCHIDEE-MICT/gswp3-w5e5/historical/orchidee-mict_gswp3-w5e5_counterclim_histsoc_default_csoillayer-slow-total_global_annual_1901_2019.nc
  • ISIMIP ID
    c7c52d73-014e-437e-b74c-91cf577fe8f0
    Size
    357.7 MB
    Checksum (sha512)
    29dd7f05582d958d552cbbdc58f3d125bd4fd6dab538cc7587628e085fda2341188dc63898192e0fedf8c33f57418379be6742b8b83ac17c9f54f528cfe87475
    Version
    20240731

Specifiers

Simulation round
ISIMIP3a
Data product
Output Data
Sector
Biomes
Fire
Permafrost
Impact model
ORCHIDEE-MICT
Climate forcing
GSWP3-W5E5
Period
Historical
Climate experiment
counterclim
Direct human forcing experiment
histsoc
Sensitivity experiment
default
Variable
csoillayer
Plant Functional Type
slow-total
total
Region
Global
Time step
annual
Start year
1901
End year
2019
pool
slow

Rights

Attribution 4.0 International
Attribution 4.0 International (CC BY 4.0)
When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment. We strongly encourage to offer co-authorship to at least a representative of the data providers. Further information can be found in our terms of use.

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