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jules-es-vn6p3_ipsl-cm6a-lr_w5e5_ssp585_2015soc-from-histsoc_default_evap-ndldcd_global_monthly_2015_2100.nc

ISIMIP3b OutputData biomes fire water_global ipsl-cm6a-lr future jules-es-vn6p3 evap 20250724

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 (2026): ISIMIP3b Simulation Data from the Global Water Sector (v1.8). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.230418.8

Properties

  • Path
    ISIMIP3b/OutputData/biomes/JULES-ES-VN6P3/ipsl-cm6a-lr/future/jules-es-vn6p3_ipsl-cm6a-lr_w5e5_ssp585_2015soc-from-histsoc_default_evap-ndldcd_global_monthly_2015_2100.nc ISIMIP3b/OutputData/fire/JULES-ES-VN6P3/ipsl-cm6a-lr/future/jules-es-vn6p3_ipsl-cm6a-lr_w5e5_ssp585_2015soc-from-histsoc_default_evap-ndldcd_global_monthly_2015_2100.nc ISIMIP3b/OutputData/water_global/JULES-ES-VN6P3/ipsl-cm6a-lr/future/jules-es-vn6p3_ipsl-cm6a-lr_w5e5_ssp585_2015soc-from-histsoc_default_evap-ndldcd_global_monthly_2015_2100.nc
  • ISIMIP ID
    53add24b-db59-4b23-a388-e9bf0a0a0fcd
    Size
    223.4 MB
    Checksum (sha512)
    893faa35e0f74e8abde04917ac3c8a5775993cea4fbe3b56887696b2e0f49b3b3978c3aa4c1be741d7ce864dc3a34274a3bc8d2398447b9006dab19970dcfc62
    Version
    20250724

Specifiers

Simulation round
ISIMIP3b
Data product
Output Data
Sector
Biomes
Fire
Water (global)
Impact model
JULES-ES-VN6P3
Climate forcing
IPSL-CM6A-LR
Period
Future
Bias adjustment
w5e5
Climate experiment
ssp585
Direct human forcing experiment
2015soc-from-histsoc
Sensitivity experiment
default
Variable
evap
Plant Functional Type
ndldcd
Region
Global
Time step
monthly
Start year
2015
End year
2100

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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