Dataset

lpjml5-7-10-fire_gswp3-w5e5_obsclim_histsoc_default_fapar-bone_global_monthly

ISIMIP3a OutputData biomes fire permafrost gswp3-w5e5 historical lpjml5-7-10-fire fapar Archived 20250207

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/LPJmL5-7-10-fire/gswp3-w5e5/historical/lpjml5-7-10-fire_gswp3-w5e5_obsclim_histsoc_default_fapar-bone_global_monthly ISIMIP3a/OutputData/fire/LPJmL5-7-10-fire/gswp3-w5e5/historical/lpjml5-7-10-fire_gswp3-w5e5_obsclim_histsoc_default_fapar-bone_global_monthly ISIMIP3a/OutputData/permafrost/LPJmL5-7-10-fire/gswp3-w5e5/historical/lpjml5-7-10-fire_gswp3-w5e5_obsclim_histsoc_default_fapar-bone_global_monthly
  • ISIMIP ID
    52a2e0c1-1079-4517-a37e-232cfb9feaf5
    Size
    121.0 MB
    Version
    20250207

Specifiers

Simulation round
ISIMIP3a
Data product
Output Data
Sector
Biomes
Fire
Permafrost
Impact model
LPJmL5-7-10-fire
Climate forcing
GSWP3-W5E5
Period
Historical
Climate experiment
obsclim
Direct human forcing experiment
histsoc
Sensitivity experiment
default
Variable
fapar
Plant Functional Type
bone
Region
Global
Time step
monthly

Rights

CC0 1.0 Universal Public Domain Dedication
CC0 1.0 Universal Public Domain Dedication (CC0 1.0)
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.

Archived

This dataset is archived and currently not available for download. Please contact support if you need this version of the dataset.

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