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classic_gswp3-w5e5_counterclim_histsoc_default_tsl_global_monthly_1901_2019.nc

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, Yusuke Satoh, Tobias Stacke, Qing Zhu, Jacob Schewe (2024): ISIMIP3a Simulation Data from the Global Water Sector (v1.3). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.398165.3

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

Properties

Path
ISIMIP3a/OutputData/biomes/CLASSIC/gswp3-w5e5/historical/classic_gswp3-w5e5_counterclim_histsoc_default_tsl_global_monthly_1901_2019.nc ISIMIP3a/OutputData/fire/CLASSIC/gswp3-w5e5/historical/classic_gswp3-w5e5_counterclim_histsoc_default_tsl_global_monthly_1901_2019.nc ISIMIP3a/OutputData/water_global/CLASSIC/gswp3-w5e5/historical/classic_gswp3-w5e5_counterclim_histsoc_default_tsl_global_monthly_1901_2019.nc

ISIMIP ID
954ce6c3-5c8b-4297-a20d-7b633e849ff6
Size
1.6 GB
Checksum (sha512)
6b56f2a06716a2cb5f1e4bc7bf914d7793c71a18bfb4dc8620cfe726d21a83e10ee0c9c4428d1f8241b39c78d1fa29a71f1e18a79a26aba7b1d6cc34c0d93fb5
Version
20230918

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
histsoc
Sensitivity experiment
default
Variable
tsl
Region
Global
Time step
monthly
Start year
1901
End year
2019

Rights

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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