File

watergap2-2e_gfdl-esm4_w5e5_historical_2015soc_default_qtot_global_daily_1891_1900.nc

ISIMIP3b OutputData water_global gfdl-esm4 historical watergap2-2e qtot 20231122

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/WaterGAP2-2e/gfdl-esm4/historical/watergap2-2e_gfdl-esm4_w5e5_historical_2015soc_default_qtot_global_daily_1891_1900.nc
  • ISIMIP ID
    4fc40ca6-ea75-4d83-89f7-78eff660136e
    Size
    834.2 MB
    Checksum (sha512)
    1640079777954a32c583d5ee64666b4c368f0d604fc960d082a6b44bf24fd8fb72b4013211676ab6e5c724e944193ba7cacb34789bd71deac64cae13389c7e98
    Version
    20231122

Specifiers

Simulation round
ISIMIP3b
Data product
Output Data
Sector
Water (global)
Impact model
WaterGAP2-2e
Climate forcing
GFDL-ESM4
Period
Historical
Bias adjustment
w5e5
Climate experiment
historical
Direct human forcing experiment
2015soc
Sensitivity experiment
default
Variable
qtot
Region
Global
Time step
daily
Start year
1891
End year
1900

Rights

Attribution 4.0 International
Attribution 4.0 International (CC BY 4.0)
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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