Dataset

classic_gswp3-w5e5_counterclim_2015soc_default_lai-dcddrybdltr_global_monthly

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, Qing Zhu, Christopher P.O. Reyer (2024): ISIMIP3a Simulation Data from the Fire Sector (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.446106

Simon N. Gosling, Hannes Müller Schmied, Anna Bradley, Peter Burek, Jinfeng Chang, Philippe Ciais, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Andrew Hartley, Huilin Huang, Sian Kou-Giesbrecht, Aristeidis Koutroulis, Kedar Otta, Wei Qi, Yusuke Satoh, Tobias Stacke, Qing Zhu, Jacob Schewe (2025): ISIMIP3a Simulation Data from the Global Water Sector (v1.4). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.398165.4

There are multiple DOI registered for this dataset, please use the citation that applies to your case.

Properties

Path
ISIMIP3a/OutputData/biomes/CLASSIC/gswp3-w5e5/historical/classic_gswp3-w5e5_counterclim_2015soc_default_lai-dcddrybdltr_global_monthly ISIMIP3a/OutputData/fire/CLASSIC/gswp3-w5e5/historical/classic_gswp3-w5e5_counterclim_2015soc_default_lai-dcddrybdltr_global_monthly ISIMIP3a/OutputData/water_global/CLASSIC/gswp3-w5e5/historical/classic_gswp3-w5e5_counterclim_2015soc_default_lai-dcddrybdltr_global_monthly
ISIMIP ID
4ce07791-1102-424d-b483-880becfd6636
Size
46.5 MB
Version
20220810

Specifiers

Simulation round
ISIMIP3a
Data product
Output Data
Sector
Biomes
Fire
Water (global)
Impact model
CLASSIC
Climate forcing
GSWP3-W5E5
Period
Historical
Climate experiment
counterclim
Direct human forcing experiment
2015soc
Sensitivity experiment
default
Variable
lai
pft
dcddrybdltr
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.

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