File

lange2020_orchidee_gfdl-esm2m_ewembi_rcp60_nosoc_co2_ped_global_annual_2006_2099.nc4

ISIMIP2b DerivedOutputData lange2020 gfdl-esm2m future orchidee ped 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/ORCHIDEE/gfdl-esm2m/future/lange2020_orchidee_gfdl-esm2m_ewembi_rcp60_nosoc_co2_ped_global_annual_2006_2099.nc4
  • ISIMIP ID
    1f9ef406-ef75-42a4-b17b-4a44cb20d173
    Size
    7.2 MB
    Checksum (sha512)
    40e8244bdcb84a6dc95a24cadb6eda5ff32b392802b38b72505a60cb2db16a4d811d5f6396add01e60ef7d64f4acfc5ba85ed6c28f8c4a0cdd65933c130ecc30
    Version
    20210127

Specifiers

Simulation round
ISIMIP2b
Data product
Derived Output Data
Publication
Lange et al. 2020
Impact model
ORCHIDEE
Climate forcing
GFDL-ESM2M
Period
Future
Bias adjustment
EWEMBI
Climate experiment
rcp60
Direct human forcing experiment
nosoc
Sensitivity experiment
co2
Variable
ped
Region
Global
Time step
annual
Start year
2006
End year
2099

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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