Ocean and marine heatwaves responses to multiple net-zero worlds - datasets and scripts for Figures 1 to 10

Files and code in data_and_script_FINAL.tar.gz provide the required information to create Figure 1 to 10 of the paper. Before using the data you need to uncompress it. Scripts are coded in Python. You can find hereafter a few information on their organization. 1] In the compressed folder you will find datasets and scripts organized as follows: data_and_script_FINAL/ _____DATA/ __________dataframe/ _______________dataframe_02Kpd_timeseries_yearly_co2s.csv _______________dataframe_02Kpd_timeseries_yearly_hfds.csv _______________dataframe_02Kpd_timeseries_yearly_msftyz.csv _______________dataframe_02Kpd_timeseries_yearly_tas.csv _______________dataframe_02Kpd_timeseries_yearly_thetao_lev1.csv _______________dataframe_02Kpd_timeseries_yearly_thetao_lev2.csv _______________dataframe_02Kpd_timeseries_yearly_tos.csv __________netcdf/ _______________FDR_KS_all/ _______________net_zero_MHW_frequency/ _______________net_zero_MHW_intensity/ _______________net_zero_mean/ _______________net_zero_std/ _______________tos_Omon/ _______________transient_MHW_frequency/ _______________transient_MHW_intensity/ _______________transient_mean/ _______________transient_std/ _____script/ __________f01_script.py __________f02_script.py __________f03_script.py __________f04_script.py __________f05_script.py __________f06_script.py __________f07_script.py __________f08_script.py __________f09_script.py __________f10_script.py 2] Scipts are stored in the script folder. They are named "fXX_script.py" with XX being th Figure number. For example, when f02_script.py is run it plots Figure 2 of the paper. It searches for data in the DATA folder. 3] Data are stored in the netcdf or dataframe folder according to their type (.nc or .csv). They can be direct model outputs such as those in the tos_Omon folder or they can be processed data. Not all model outputs where given since it would be too heavy. 4] Global mean yearly timeseries are stored in the dataframe folder. We give their units hereafter: dataframe_02Kpd_timeseries_yearly_co2s.csv: ppm dataframe_02Kpd_timeseries_yearly_hfds.csv: W/m2 dataframe_02Kpd_timeseries_yearly_msftyz.csv: Sv dataframe_02Kpd_timeseries_yearly_tas.csv: °C dataframe_02Kpd_timeseries_yearly_thetao_lev1.csv: °C dataframe_02Kpd_timeseries_yearly_thetao_lev2.csv: °C dataframe_02Kpd_timeseries_yearly_tos.csv: °C 5] We review hereafter information on the netcdf folder. File name that contain "02Kpd" or "02Kpd-XX" refer to the ramp-up or net-zero runs FDR_KS_all/: contains netcdf showing the results of the False Discovery Rate (FRD) on the Kolmogorov-Smirnov test applied to the whole net-zero runs. net_zero_MHW_frequency/: contains day-of-year mean frequency of MHW over periods stated in filename. This is for each net-zero run. Unit: dimensionless net_zero_MHW_intensity/: contains day-of-year mean intensity of MHW over periods stated in filename. This is for each net-zero run. Unit: °C net_zero_mean/: Mean of the SST anomaly distribution over the whole net-zero runs. Unit: °C net_zero_std/: Standard-deviation of the SST anomaly distribution over the whole net-zero runs. Unit: °C tos_Omon/: contains grided monthly sea surface temperature in °C for the ramp-up and all net-zero runs. transient_MHW_frequency/: contains day-of-year mean frequency of MHW over periods stated in filename (baseline periods). This is for the ramp-up. Unit: dimensionless transient_MHW_intensity/: contains day-of-year mean intensity of MHW over periods stated in filename (baseline periods). This is for the ramp-up. Unit: °C transient_mean/: Mean of the SST anomaly distribution over transient baseline periods indicated in filename. Unit: °C transient_std/: Standard-deviation of the SST anomaly distribution over transient baseline periods indicated in filename. Unit: °C