File

web-dhm-sg_mri-esm2-0_w5e5_picontrol_histsoc_default_soilmoist_global_monthly_1850_2014.nc

ISIMIP3b OutputData water_global mri-esm2-0 historical web-dhm-sg soilmoist 20250107

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/WEB-DHM-SG/mri-esm2-0/historical/web-dhm-sg_mri-esm2-0_w5e5_picontrol_histsoc_default_soilmoist_global_monthly_1850_2014.nc
  • ISIMIP ID
    a0e31fce-e6fd-4490-95d2-dd62263097b3
    Size
    403.3 MB
    Checksum (sha512)
    07ef676a85a0b12d01a8e5cebc7b67210b236d0a72c282c52c7cad594bbd181ccad9c86036fe5707b95f120426f53a5d7a76f84f68819e84bd92f935f03c72cf
    Version
    20250107

Specifiers

Simulation round
ISIMIP3b
Data product
Output Data
Sector
Water (global)
Impact model
WEB-DHM-SG
Climate forcing
MRI-ESM2-0
Period
Historical
Bias adjustment
w5e5
Climate experiment
picontrol
Direct human forcing experiment
histsoc
Sensitivity experiment
default
Variable
soilmoist
Region
Global
Time step
monthly
Start year
1850
End year
2014

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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