UPDATE MARCH 2024:
added UVic-ESCM data. Naming is as for the Bern3D-LPX data, just 'b3d' is replaced with 'uvic'



Data provided in this repository is from historical and future simulations with the Bern3D-LPX model, investigating tradeoffs and lags in the carbon cycle and the Earth system under carbon dioxide removal and are related to a submitted manuscript by the same authors with the title "Carbon Dioxide Removal: Tradeoffs and Lags".

The datafiles contain in their naming the figure they are connected to and are are provided as .csv and .nc files

The first row in the .csv files contains the header, which describes the variable.
naming is as follows:

fig1_b3d_YYY_his.csv or fig1_b3d_YYY_ssp.csv
ssp -> future scenarios
	XXX_16th -> skill-weighted 16th percentile of scenario XXX
	XXX_50th -> skill-weighted mean of scenario XXX
	XXX_84th -> skill-weighted 84th percentile of scenario XXX
	XXX:	s26 -> SSP1-2.6
		s34 -> SSP5-3.4
		s85 -> SSP5-8.5
		oae -> SSP5-3.4 + ocean alkalinity enhancement
his -> historical period
YYY:	co2  -> atm. co2 [ppm]
	abf  -> cumulative atmosphere-biosphere flux [GtC]
	aof  -> cumulative atmosphere-ocean flux [GtC]
	emis -> C emissions [GtC yr-1]
	forc -> non-co2 radiative forcing [W m-2]

fig2_b3d_timeseries.csv
naming of variables is xxx_yyy and the unit always GtC
xxx:	co2 -> difference in atm. co2 between SSP5-3.4 with and without ocean alkalinity enhancement
	ocn -> difference in ocean C storage  between SSP5-3.4 with and without ocean alkalinity enhancement
	lnd -> difference in land C storage  between SSP5-3.4 with and without ocean alkalinity enhancement
yyy:	025 -> skill-weighted 2.5th percentile
	16  -> skill-weighted 16th percentile
	50  -> skill-weighted 50th percentile
	84  -> skill-weighted 84th percentile
	975 -> skill-weighted 97.5th percentile

fig2_b3d_scatter.csv
individual ensemble member data (average year 2190-2220, i.e. prior to ocean alkalinity enhancement stoppage)
dland  -> difference in atm. co2 between SSP5-3.4 with and without ocean alkalinity enhancement
docean -> difference in ocean C storage  between SSP5-3.4 with and without ocean alkalinity enhancement
datm   -> difference in land C storage  between SSP5-3.4 with and without ocean alkalinity enhancement
skill  -> skill

fig3_b3d_####.csv
spatial data, description in the NetCDF attributes

fig4_b3d_timeseries.csv
sat_xxx
xxx:	16th -> skill-weighted 16th percentile
	50th -> skill-weighted mean percentile
	84th -> skill-weighted 84th percentile

fig4_b3d_scatter.csv
individual ensemble member data, see Fig. 4

supp_b3d.nc
spatial data, description in the NetCDF attributes an the Supplementary of the manuscript




The files can be readily importet in python, for example, by:
    import pandas as pd
    import xarray as xr
    
    # for the .csv files
    df = pd.read_csv('path+filename', sep=',', header=0, index_col=None)
    
    # for the .nc files
    ds = xr.open_dataset('path+filename')


For additional information or in case of questions please contact:
Aurich Jeltsch-Thömmes
aurich.jeltsch-thoemmes@unibe.ch