Data assimilation-based surface temperature reconstructions over the last two millennia over Antarctica

• Main Authors: Klein, François, Abram, Nerilie J., Curran, Mark A. J., Goosse, Hugues, Goursaud, Sentia, Masson-Delmotte, Valérie, Moy, Andrew, Neukom, Raphael, Orsi, Anaïs, Sjolte, Jesper, Steiger, Nathan, Stenni, Barbara, Werner, Martin
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2019
• Subjects: Climate reconstruction; Data assimilation; Water isotopes; Paleoclimate; Antarc*; Antarctic; Antarctic Peninsula; Antarctica; Dronning Maud Land; East Antarctica; Ice Sheet; Ross Sea; Victoria Land; Weddell Sea; West Antarctica; Wilkes Land
• Online Access: https://doi.org/10.5281/zenodo.2579204

This dataset contains data assimilation-based temperature and δ 18 O reconstructions in 10 Antarctic regions over the last two millennia, presented in : Klein, F., Abram, N. J., Curran, M. A. J., Goosse, H., Goursaud, S., Masson-Delmotte, V., Moy, A., Neukom, R., Orsi, A., Sjolte, J., Steiger, N., Stenni, B., and Werner, M.: Assessing the robustness of Antarctic temperature reconstructions over the past two millennia using pseudoproxy and data assimilation experiments, Clim. Past Discuss., https://doi.org/10.5194/cp-2018-90, in review, 2018. We use a new database of stable oxygen isotopes in ice cores compiled in the framework of Antarctica2k (Stenni et al., 2017) to constrain model ensembles derived from two simulations: one performed using ECHAM5-MPI-OM that covers the period 800-1999 CE with a horizontal resolution of 3.75° by 3.75° (Sjolte et al., 2018), and the other performed with ECHAM5-wiso, spanning 1871-2011 CE at 1.125° spatial resolution (Steiger et al., 2017). This latter simulation is available here . Four netCDF files are available: d18O_DA_ECHAM5-MPI-OM_1-2015.nc: data assimilation-based δ 18 O reconstructions using the model ensemble derived from ECHAM5-MPI-OM ts_DA_ECHAM5-MPI-OM_1-2015.nc: data assimilation-based surface temperature reconstructions using the model ensemble derived from ECHAM5-MPI-OM d18O_DA_ECHAM5-wiso_1-2015.nc: data assimilation-based δ 18 O reconstructions using the model ensemble derived from ECHAM5-wiso ts_DA_ECHAM5-wiso_1-2015.nc: data assimilation-based surface temperature reconstructions using the model ensemble derived from ECHAM5-wiso The variables included in the NetCDF files are: region: integers from 1 to 10 corresponding to the ID of the ten reconstructions targets, that were defined in Stenni et al. (2017): 1: East Antarctic Plateau 2: Wilkes Land Coast 3: Weddell Sea Coast 4: Antarctic Peninsula 5: West Antarctic Ice Sheet 6: Victoria Land Coast-Ross Sea 7: Dronning Maud Land Coast 8: West Antarctica 9: East Antarctica 10: Antarctica time: integers from 1 to ...