File
classic_gswp3-w5e5_counterclim_2015soc_default_clitterag-c3grass_global_annual_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
Properties
- ISIMIP ID
bd0fa4f6-3998-45aa-aead-055eb093f98a
- Size
- 7.5 MB
- Checksum (sha512)
- 7eebfc4f638d5ad2ec3fefcd589ca9e4617bb3f1979d897424645abfa2408729aac67f9cd66caabcd15d938272500379d5a03f1e6be0e75d704d0eaf7d6942e8
- Version
- 20220810
Path
ISIMIP3a/OutputData/biomes/CLASSIC/gswp3-w5e5/historical/classic_gswp3-w5e5_counterclim_2015soc_default_clitterag-c3grass_global_annual_1901_2019.nc
ISIMIP3a/OutputData/fire/CLASSIC/gswp3-w5e5/historical/classic_gswp3-w5e5_counterclim_2015soc_default_clitterag-c3grass_global_annual_1901_2019.nc
Specifiers
- Simulation round
-
ISIMIP3a
- Data product
-
Output Data
- Sector
-
BiomesFire
- Impact model
-
CLASSIC
- Climate forcing
-
GSWP3-W5E5
- Period
-
Historical
- Climate experiment
-
counterclim
- Direct human forcing experiment
-
2015soc
- Sensitivity experiment
-
default
- Variable
-
clitterag
- pft
-
c3grass
- Region
-
Global
- Time step
-
annual
- 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.
Download
Part of the dataset
-
7.5 MB ISIMIP3a OutputData biomes fire classic gswp3-w5e5 historical 20220810classic_gswp3-w5e5_counterclim_2015soc_default_clitterag-c3grass_global_annual
Issues and notes for the dataset
-
issue low resolvedISIMIP3: Flux variables on 360_day calendar for monthly and annual data #31Affected datasets can still be used for simulations or research.
- Affected versions: before 20221208
Matthias Büchner created this issue on Dec. 9, 2022. It was last updated on March 22, 2023.
All versions of this file
-
7.5 MB 20220810classic_gswp3-w5e5_counterclim_2015soc_default_clitterag-c3grass_global_annual_1901_2019.nc this version