/last_millennium_ecs_constraint

Primary LanguageJupyter Notebook

Code for Reproducing Cropper et al. (2023)

https://doi.org/10.1029/2023GL104126

Python Notebooks

gen_ec_data.ipynb

  • constructs the variability metrics relevant to the emergent constraints
  • uses the timeseries data available in 'data/ts.csv' and the ecs values from 'data/ecs.csv'

pp2k-ppe-pda.ipynb

  • draws heavily from Feng Zhu's pseudoPAGES2k project: https://github.com/fzhu2e/paper-pseudoPAGES2k uses the following data files to vary SNR:
  • ppwn_SNR10_rta.nc
  • ppwn_SNR2_rta.nc
  • ppwn_SNR1_rta.nc
  • ppwn_SNR0.5_rta.nc
  • ppwn_SNR0.25_rta.nc

main.ipynb

  • contains the codes required to reproduce the main figures in the manuscript
  • uses volcanic forcing data, 'crowley_2000.txt' (Crowley et al., 2000), 'crowley_2008.txt' (Crowley et al., 2008), 'gao_2008.txt' (Gao et al., 2008), and 'evolv2k.nc' (Toohey & Sigl, 2017).
  • uses emergent constraint data, 'ec_data.csv'
  • uses the following data files to generate Figure 1: 'data_fig1a_cmip5.csv', 'data_fig1a_cmip6.csv', 'data_fig1b_cmip5.csv', 'data_fig1b_cmip6.csv'

supplement.ipynb

  • generates the figures for the supplemental materials
  • uses volcanic forcing data, 'crowley_2000.txt' (Crowley et al., 2000), 'crowley_2008.txt' (Crowley et al., 2008), 'gao_2008.txt' (Gao et al., 2008), and 'evolv2k.nc' (Toohey & Sigl, 2017).
  • uses emergent constraint data, 'ec_data.csv'