File

cama-flood_lpjml_gfdl-esm2m_ewembi_rcp85_2005soc_co2_flddph_100yr_150arcsec_global_annual_2006_2100.nc4

ISIMIP2b DerivedOutputData Zimmer2023 gfdl-esm2m future lpjml flddph 20240619

Cite as

Sven Willner, Inga Sauer, Lisa Novak, Christian Otto (2024): Global simulations of fluvial floods based on the ISIMIP2 ensemble of global hydrological models (v1.0). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.303619

Properties

  • Path
    ISIMIP2b/DerivedOutputData/Zimmer2023/LPJmL/gfdl-esm2m/future/cama-flood_lpjml_gfdl-esm2m_ewembi_rcp85_2005soc_co2_flddph_100yr_150arcsec_global_annual_2006_2100.nc4
  • ISIMIP ID
    ca5d0bdf-4a8f-4e52-8d83-20b3d48cc558
    Size
    67.7 MB
    Checksum (sha512)
    38eafbb2992b43e410a6c4c4a1fc6d3c218184e72457db666d7db56f4b7ea75d31b999bef24a053e2c747fcf7f33643769529207bfc2aee61a06fbf3415d8635
    Version
    20240619

Specifiers

Simulation round
ISIMIP2b
Data product
Derived Output Data
Publication
Zimmer et al. 2023
Impact model
LPJmL
Climate forcing
GFDL-ESM2M
Period
Future
Bias adjustment
EWEMBI
Climate experiment
rcp85
Direct human forcing experiment
2005soc
Sensitivity experiment
co2
Variable
flddph
Protection level
100yr
Spatial resolution
150arcsec
Region
Global
Time step
annual
Start year
2006
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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