Bern3D model output related to: Hysteresis of the Earth system under positive and negative CO2 emissions
- 1. Climate and Environmental Physics and Oeschger Centre for Climate Change Research, University of Bern, Switzerland
Description
The data below is output from the Bern3D intermediate complexity model and idealized CO2 increase-decrease simulations used in Jeltsch-Thömmes et al., Environ. Res. Lett. 15 (2020) 124026, https://doi.org/10.1088/1748-9326/abc4af
The data are provided as .csv and .nc files
There are different types of data
1) TIMESERIES DATA (Fig. 1 and 2)
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The name of the files indicates the variable:
co2_ts.csv change in atm. co2 [ppm]
cumulativeEmissions_ts.csv cumulative emissions [GtC]
cumulativeAOflux_ts.csv cumulative atm-ocean C flux [GtC]
cumulativeABflux_ts.csv cumulative atm-land C flux [GtC]
sat_ts.csv change in surface air temperature [degC]
ohc_ts.csv change in ocean heat content [10^24 J]
amoc_ts.csv change in Atlantic meridional overturning circulation strength [Sv]
seaice_ts.csv fraction of pre-industrial sea-ice area remaining [fraction of PI]
The first row in the .csv files contains the header, which indicates the experiment. The naming convention is as follows:
c4k#_###
c4 indicates the maximum co2 as times pre-industrial (4 times)
k# indicates the equilibrium climate sensitivity of the respective simulation in degrees C (k2 to k5)
### indicates the rate of CDR:
010: 0.1% yr^-1
010: 0.3% yr^-1
010: 0.5% yr^-1
010: 0.7% yr^-1
100: 1% yr^-1
200: 2% yr^-1
400: 4% yr^-1
600: 6% yr^-1
2) HYSTERESIS DATA (Fig. 3)
===========================
The name of the files indicates the variables:
cumulativeEmissions_sat.csv cumulative emissions and change in surface air temperature [degC]
cumulativeEmissions_OHCsurf.csv cumulative emissions and change in upper ocean heat content (0-700 m) [10^24 J]
cumulativeEmissions_o2thermo.csv cumulative emissions and change in thermocline (200-600 m) o2 [mmol m^-3]
cumulativeEmissions_OM_arag.csv cumulative emissions and fraction of water in the uppermost 175 m with omegar_aragonite saturation state >3 [fraction]
each file contains the time (simulation year) as well as cumulative emissions (cumuEmis) and the respective variable (same naming as in filename) for all the experiments (see timeseries data for naming convention)
3) SPATIAL DATA (Fig. 4 and 5)
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All data for Fig. 4 and 5 are contained in one single .nc file (fig4_5_data.nc) with a varibale for each map shown in Fig. 4 and 5:
c4k2_100_sat hysteresis (down-path minus up-path) in surface air temperature at cumulative emissions of 1000 GtC, ECS=2 degC, in [degC]
c4k3_100_sat hysteresis (down-path minus up-path) in surface air temperature at cumulative emissions of 1000 GtC, ECS=3 degC, in [degC]
c4k5_100_sat hysteresis (down-path minus up-path) in surface air temperature at cumulative emissions of 1000 GtC, ECS=5 degC, in [degC]
c4k2_100_o2thermo hysteresis (down-path minus up-path) in thermocline (200-600 m) o2 at cumulative emissions of 1000 GtC, ECS=2 degC, in [mmol m^-3]
c4k3_100_o2thermo hysteresis (down-path minus up-path) in thermocline (200-600 m) o2 at cumulative emissions of 1000 GtC, ECS=3 degC, in [mmol m^-3]
c4k5_100_o2thermo hysteresis (down-path minus up-path) in thermocline (200-600 m) o2 at cumulative emissions of 1000 GtC, ECS=5 degC, in [mmol m^-3]
c4k3_100_Om_arag_up mean aragonite saturation state of the uppermost 175 m at cumulative emissions of 1000 GtC on the up-path, ECS=3 degC, [unitless]
c4k3_100_Om_arag_do mean aragonite saturation state of the uppermost 175 m at cumulative emissions of 1000 GtC on the down-path, ECS=3 degC, [unitless]
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
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Additional details
Funding
- COMFORT – Our common future ocean in the Earth system – quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points 820989
- European Commission
- Climate and Environmental Physics: Pleistocene Earth System Evolution (pleistoCEP) 200020_172745
- Swiss National Science Foundation
- Climate and Environmental Physics: Modeling Global Biogeochemical Cycles in the Earth System (bgcCEP) 200020_172476
- Swiss National Science Foundation
- TiPES – Tipping Points in the Earth System 820970
- European Commission