UVic earth system climate model data generated under MIS3 boundary conditions
Cite this dataset
Saini, Himadri; Meissner, Katrin J.; Kvale, Karin; Menviel, Laurie (2024). UVic earth system climate model data generated under MIS3 boundary conditions [Dataset]. Dryad. https://doi.org/10.5061/dryad.k3j9kd5dt
Abstract
The modelling dataset presented here corresponds to the study entitled "Transient response of Southern Ocean ecosystems during Heinrich stadials".
Antarctic ice core records suggest that atmospheric CO2 increased by 15 to 20 ppm during Heinrich stadials (HS). These periods of abrupt CO2 increase are associated with a significant weakening of the Atlantic meridional overturning circulation (AMOC), and a warming at high southern latitudes. As such, modelling studies have explored the link between changes in AMOC, high southern latitude climate and atmospheric CO2. While proxy records suggest that the aeolian iron input to the Southern Ocean decreased significantly during HS, the potential impact on CO2 of reduced iron input combined with oceanic circulation changes has not been studied in detail. Here, we quantify the respective and combined impacts of reduced iron fertilisation and AMOC weakening on CO2 by performing numerical experiments with an Earth system model under boundary conditions representing 40,000 years before present (ka).
The dataset here includes the complete transient simulations and 40ka-control simulation mentioned in Table 1 and Table 2 of the manuscript.
README: UVic earth system climate model data generated under MIS3 boundary conditions
The modelling dataset presented here corresponds to the study entitled "Transient response of Southern Ocean ecosystems during Heinrich stadials". This dataset contains data files of the complete transient simulations (FW,FE and FWFE) and 40ka-control simulation mentioned in Table 1 and Table 2 of the manuscript. We first performed a control simulation 40ka-control integrating a total of 10000 years. We use only the last 200 years of this control simulation for our analysis.
Description of the data and file structure
The data is generated through modelling simulations using the University of Victoria Earth system climate model. All the final data is in nc format, which can be easily read by Python/ferret or any other common data analysing software.
all_data/control_last200yrs: simulated data files for 40ka-control simulation
all_data/FW: simulated data files for FW simulation which incorporates the addition of freshwater flux in the North Atlantic.
all_data/FE: simulated data files for FE simulation which incorporates the reduction of iron flux globally.
all_data/FWFE: simulated data files for FW simulation which incorporates the addition of freshwater flux in the North Atlantic and the reduction of iron flux globally.
all_data/*/all_tavg/tavg..nc files contain annual averages of the required variables to reproduce all the figures in the manuscript.
all_data/*/all_tsi/tsi files contain the globally averaged time series from all the simulations.
all_data/**/all_tavg/tavg_tot and
all_data/*/all_tsi/tsi_tot are the concantenated tavg.nc and tsi*.nc for respective simulations to show the full transient state of variables as described in Fig.3 of the mansucript.
Extra files that are not required (or important) for the manuscript are listed below:
control_last200years/all_tavg/ferret.jnl
FW/all_tavg/amoc_all/*
FW/all_tavg/density.nc
FW/all_tavg/precip._ts.gif
Code/Software
The model code used to run all the simulations is available from Kvale et al., 2021 GMD.
Methods
The data is generated through modelling simulations using the University of Victoria Earth system climate model.
Funding
UNSW Sydney
National Computational Infrastructure
Australian Research Council, Award: FT180100606
Australian Research Council, Award: SR200100008
Australian Research Council, Award: DP180100048
GNS Science, Award: ANTA1801