File

gfdl-esm4_r1i1p1f1_w5e5_ssp126_pr-wetdays-gt1mm_global_annual_2015_2100.nc

ISIMIP3b DerivedInputData SPARCCLE2025 gfdl-esm4 20251030

Cite as

Matthias Büchner, Matthias Mengel, Yi-Ling Hwong, Edward Byers, Mia Werning, Yann Quilcaille (2026): Climate Extremes Indicators (v1.1). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.196458.1

Properties

  • Path
    ISIMIP3b/DerivedInputData/SPARCCLE2025/ssp126/GFDL-ESM4/gfdl-esm4_r1i1p1f1_w5e5_ssp126_pr-wetdays-gt1mm_global_annual_2015_2100.nc
  • ISIMIP ID
    ed9653f0-f331-4f6b-87d7-14416c5ec02d
    Size
    8.1 MB
    Checksum (sha512)
    e3157f88f2a86fa7f83c0c5e2f78327de40e1a699417676dac920a6e3674e72ef8bc4bde2c041c91db600cc5cd6770d019d34f6265b9c912073e59a36896094c
    Version
    20251030

Specifiers

Simulation round
ISIMIP3b
Data product
Derived Input Data
Publication
SPARCCLE2025
Climate experiment
ssp126
Climate forcing
GFDL-ESM4
Ensemble member
r1i1p1f1
Bias adjustment
w5e5
Climate variable
pr-wetdays-gt1mm
Region
Global
Time step
annual
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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