File

watergap2-2e_mpi-esm1-2-hr_w5e5_ssp126_1850soc_default_evap-total_global_monthly_2015_2100.nc

ISIMIP3b OutputData water_global mpi-esm1-2-hr future watergap2-2e evap 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/mpi-esm1-2-hr/future/watergap2-2e_mpi-esm1-2-hr_w5e5_ssp126_1850soc_default_evap-total_global_monthly_2015_2100.nc
  • ISIMIP ID
    548e0cee-c8a9-4630-8a22-8f8b5810a427
    Size
    246.3 MB
    Checksum (sha512)
    4dc3eccf3069f2e1f1897fe9459b194aa5a8602b10aad959dc5b30d0272a27ec79b674db911c22497826830628fef9492cbfccde3aff97e62893661949a22d77
    Version
    20231122

Specifiers

Simulation round
ISIMIP3b
Data product
Output Data
Sector
Water (global)
Impact model
WaterGAP2-2e
Climate forcing
MPI-ESM1-2-HR
Period
Future
Bias adjustment
w5e5
Climate experiment
ssp126
Direct human forcing experiment
1850soc
Sensitivity experiment
default
Variable
evap
Plant Functional Type
total
Region
Global
Time step
monthly
Start year
2015
End year
2100

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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