File

lange2020_pepic_miroc5_ewembi_picontrol_2005soc_co2_pec_global_annual_1661_1860.nc4

ISIMIP2b DerivedOutputData lange2020 miroc5 pre-industrial pepic pec 20210127

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/PEPIC/miroc5/pre-industrial/lange2020_pepic_miroc5_ewembi_picontrol_2005soc_co2_pec_global_annual_1661_1860.nc4
  • ISIMIP ID
    cb501d08-9154-465d-9237-8ba54fe27f4f
    Size
    11.8 MB
    Checksum (sha512)
    bd2996ea11f3ce3eca9afec9247474b80c0b195ad68ffa180600dd5c473d900a201ce50646e40588f362b8cf3e5e6daa26cdbff2a1678424f7ce82cd19b471c0
    Version
    20210127

Specifiers

Simulation round
ISIMIP2b
Data product
Derived Output Data
Publication
Lange et al. 2020
Impact model
PEPIC
Climate forcing
MIROC5
Period
Pre-industrial
Bias adjustment
EWEMBI
Climate experiment
picontrol
Direct human forcing experiment
2005soc
Sensitivity experiment
co2
Variable
pec
Region
Global
Time step
annual
Start year
1661
End year
1860

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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