Published February 29, 2024 | Version v2
Software Open

DetectMitigate

Creators

  • 1. ROR icon Princeton University
  • 2. ROR icon NOAA Geophysical Fluid Dynamics Laboratory

Description

Zenodo repository for : 

  • Labe, Z.M., T.L Delworth, N.C. Johnson, and W.F. Cooke. Exploring a data-driven approach to identifying regions of change associated with future climate scenarios. (submitted)

Please also cite and refer to:

  • Delworth, T. L., Cooke, W. F., Adcroft, A., Bushuk, M., Chen, J. H., Dunne, K. A., ... & Zhao, M. (2020). SPEAR: The next generation GFDL modeling system for seasonal to multidecadal prediction and projection. Journal of Advances in Modeling Earth Systems, 12(3), e2019MS001895. https://doi.org/10.1029/2019MS001895

Additional data is available at: https://www.gfdl.noaa.gov/spear_large_ensembles/ and https://nomads.gfdl.noaa.gov/

Methods (English)

Zenodo repository includes:

  • Python code for exploratory data analysis and neural network framework
  • Data for SPEAR_MED simulations of the natural forcing scenario, SSP1-1.9, SSP2-4.5, SSP5-3.4OS, and SSP5-3.4OS_10ye.
    • See https://www.gfdl.noaa.gov/spear/
    • Files in netCDF4 format
    • Variables include near-surface air temperature (t_ref, 2 m) and total precipitation rate (precip)
    • Annually-averaged time mean for 2011-2100 (2011-2014 is from the historical SPEAR_MED simulation)
    • Global spatial maps at 0.5° horizontal resolution (regular grid; 360x576, c192)
    • 30 ensemble members

Files

zmlabe/DetectMitigate-v0.2.0.zip

Files (17.4 GB)

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Additional details

Related works

Is supplement to
Software: https://github.com/zmlabe/DetectMitigate/tree/v0.2.0 (URL)
References
Journal article: 10.1029/2019MS001895 (DOI)