LOVECLIM ocean and sea-ice results

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Abstract
LOVECLIM sea ice, SST, and ocean temperature data for both LOVECLIM 1 and 2 which were used for this project
Persistent link to this record
http://hdl.handle.net/1959.4/resource/collection/resdatac_1095/1
DOI
https://doi.org/10.26190/K6XA-T076
Link to External Data Repository
Electronic Location
Contact Information
Research Data Creator(s)
Green, Ryan
Corporate/Industry Contributor(s)
Publication Year
2020
Resource Type
Dataset
Keyword(s)
sea ice
sea-surface temperature
ocean temperature
UNSW Faculty
Files
download LOVECLIM1-SST.nc 47.47 MB The Network Common Data Form
download LOVECLIM1-SeaIceConc.nc 47.47 MB The Network Common Data Form
download LOVECLIM1-OcTemp.nc 39.55 MB The Network Common Data Form
download LOVECLIM2-SST.nc 47.47 MB The Network Common Data Form
download LOVECLIM2-SeaIceConc.nc 47.47 MB The Network Common Data Form
Related dataset(s)
LGM seasonal sea ice multi-model mean for PMIP3, PMIP4 and LOVECLIM sensitivity runs
Dataset
This dataset contains simulated sea ice multi-model mean data for both austral winter and summer during the LGM. The multi-model mean for PMIP3 contains 8 model simulations, for PMIP4 7 model simulations, and for LOVECLIM sensitivity it contains 2 model simulations. Each multi-model mean has data for austral winter and summer, yielding 6 total data files.
Related publication(s)
Menviel, L., J. Yu, F. Joos, A. Mouchet, K. J. Meissner, and M. H. England (2017), Poorly ventilated deep ocean at the Last Glacial Maximum inferred from carbon isotopes: A data-model comparison study, Paleoceanography, 32, 2–17, doi.org/10.1002/2016PA003024
Green, R. A., Menviel, L., Meissner, K. J., and Crosta, X.: Evaluating seasonal sea-ice cover over the Southern Ocean from the Last Glacial Maximum, Clim. Past Discuss. [preprint], in review, 2020 doi.org/10.5194/cp-2020-155
Related grant(s)
new insights into abrupt climate change using isotope model-data fusion - AUSTRALIAN RESEARCH COUNCIL - DISCOVERY PROJECT - DP180100048
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