File

lange2020_caraib_ipsl-cm5a-lr_ewembi_historical_histsoc_co2_lew_global_annual_1861_2005.nc4

Cite as

Stefan Lange, Jan Volkholz, Tobias Geiger, Fang Zhao, Iliusi Vega del Valle, Ted Veldkamp, Christopher Reyer, Lila Warszawski, Veronika Huber, Jonas Jägermeyr, Jacob Schewe, David N. Bresch, Matthias Büchner, Jinfeng Chang, Philippe Ciais, Marie Dury, Kerry Emanuel, Christian Folberth, Dieter Gerten, Simon N. Gosling, Manolis Grillakis, Naota Hanasaki, Alexandra‐Jane Henrot, Thomas Hickler, Yasushi Honda, Akihiko Ito, Nikolay Khabarov, Aristeidis Koutroulis, Wenfeng Liu, Christoph Müller, Kazuya Nishina, Sebastian Ostberg, Hannes Müller Schmied, Sonia I. Seneviratne, Tobias Stacke, Jörg Steinkamp, Wim Thiery, Yoshihide Wada, Sven Willner, Hong Yang, Minoru Yoshikawa, Chao Yue, Katja Frieler (2020): Land area fractions and population fractions exposed to extreme climate impact events derived from ISIMIP2b output data (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.924045

Properties

Path
ISIMIP2b/DerivedOutputData/Lange2020/CARAIB/ipsl-cm5a-lr/historical/lange2020_caraib_ipsl-cm5a-lr_ewembi_historical_histsoc_co2_lew_global_annual_1861_2005.nc4
ISIMIP ID
a16474aa-01e6-4662-a513-b97d424e9b15
Size
16.6 MB
Checksum (sha512)
4514481d46ad8781faaac7cbbf3c2fa789a944760b59dbdbce760d1df0f579f7f3414d51b21564783fd4d8cbb056e4f98f0a290d4cde10d0a42efb93719e3c44
Version
20210127

Specifiers

Simulation round
ISIMIP2b
Data product
Derived Output Data
Publication
Lange et al. 2020
Impact model
CARAIB
Climate forcing
IPSL-CM5A-LR
Period
Historical
Bias adjustment
EWEMBI
Climate experiment
historical
Direct human forcing experiment
histsoc
Sensitivity experiment
co2
Variable
lew
Region
Global
Time step
annual
Start year
1861
End year
2005

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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