File

jules-w2_gfdl-esm4_w5e5_historical_2015soc_default_dis_global_daily_1891_1900.nc

ISIMIP3b OutputData water_global gfdl-esm4 historical jules-w2 dis 20240820

Cite as

Simon N. Gosling, Hannes Müller Schmied, Anna Bradley, Peter Burek, Nicola Gedney, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Akihiko Ito, Sian Kou-Giesbrecht, Aristeidis Koutroulis, Kazuya Nishina, Kedar Otta, Wei Qi, Reetik-Kumar Sahu, Yusuke Satoh, Jacob Schewe (2025): ISIMIP3b Simulation Data from the Global Water Sector (v1.7). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.230418.7

Simon N. Gosling, Hannes Müller Schmied, Anna Bradley, Peter Burek, Nicola Gedney, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Akihiko Ito, Sian Kou-Giesbrecht, Aristeidis Koutroulis, Kazuya Nishina, Kedar Otta, Wei Qi, Reetik-Kumar Sahu, Yusuke Satoh, Jacob Schewe (2026): ISIMIP3b Simulation Data from the Global Water Sector (v1.9). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.230418.9

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

Properties

  • Path
    ISIMIP3b/OutputData/water_global/JULES-W2/gfdl-esm4/historical/jules-w2_gfdl-esm4_w5e5_historical_2015soc_default_dis_global_daily_1891_1900.nc
  • ISIMIP ID
    96da159d-0042-4263-90d4-07ca46319913
    Size
    861.2 MB
    Checksum (sha512)
    1f95d6566f7125edd7feb31b8b9033c085a520db6275b099d6dc8f4f0781543aae959f0c80761d851ee877b209995bcffbb5dfb1526fd1d641341c4b61f12609
    Version
    20240820

Specifiers

Simulation round
ISIMIP3b
Data product
Output Data
Sector
Water (global)
Impact model
JULES-W2
Climate forcing
GFDL-ESM4
Period
Historical
Bias adjustment
w5e5
Climate experiment
historical
Direct human forcing experiment
2015soc
Sensitivity experiment
default
Variable
dis
Region
Global
Time step
daily
Start year
1891
End year
1900

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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