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lpjml5-7-10-fire_mri-esm2-0_w5e5_ssp585_1850soc_2015co2_evap-total_global_monthly_2015_2100.nc

ISIMIP3b OutputData biomes fire permafrost water_global mri-esm2-0 future lpjml5-7-10-fire evap 20260728

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, Sebastian Ostberg, Kedar Otta, Wei Qi, Reetik-Kumar Sahu, Yusuke Satoh, Jacob Schewe (2026): ISIMIP3b Simulation Data from the Global Water Sector (v1.10). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.230418.10

Properties

  • Path
    ISIMIP3b/OutputData/biomes/LPJmL5-7-10-fire/mri-esm2-0/future/lpjml5-7-10-fire_mri-esm2-0_w5e5_ssp585_1850soc_2015co2_evap-total_global_monthly_2015_2100.nc ISIMIP3b/OutputData/fire/LPJmL5-7-10-fire/mri-esm2-0/future/lpjml5-7-10-fire_mri-esm2-0_w5e5_ssp585_1850soc_2015co2_evap-total_global_monthly_2015_2100.nc ISIMIP3b/OutputData/permafrost/LPJmL5-7-10-fire/mri-esm2-0/future/lpjml5-7-10-fire_mri-esm2-0_w5e5_ssp585_1850soc_2015co2_evap-total_global_monthly_2015_2100.nc ISIMIP3b/OutputData/water_global/LPJmL5-7-10-fire/mri-esm2-0/future/lpjml5-7-10-fire_mri-esm2-0_w5e5_ssp585_1850soc_2015co2_evap-total_global_monthly_2015_2100.nc
  • ISIMIP ID
    3cfc19a4-2150-4407-b15e-39dd165027c8
    Size
    233.8 MB
    Checksum (sha512)
    47a8d8283fb1dbe1dc86b71244796bbc8514a564d34cdac4f3ba30de917bfcfbbf46ec4e4abddf7882f90392fc973498904968acc0a3d8698d6a600055c7f01f
    Version
    20260728

Specifiers

Simulation round
ISIMIP3b
Data product
Output Data
Sector
Biomes
Fire
Permafrost
Water (global)
Impact model
LPJmL5-7-10-fire
Climate forcing
MRI-ESM2-0
Period
Future
Bias adjustment
w5e5
Climate experiment
ssp585
Direct human forcing experiment
1850soc
Sensitivity experiment
2015co2
Variable
evap
Plant Functional Type
total
Region
Global
Time step
monthly
Start year
2015
End year
2100

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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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