Model output presented in the manuscript "Ocean circulation drifts in multi-millennial climate simulations: the role of salinity corrections and climate feedbacks" by Dentith et al. (2018)

Dataset title Model output presented in the manuscript "Ocean circulation drifts in multi-millennial climate simulations: the role of salinity corrections and climate feedbacks" by Dentith et al. (2018)
Dataset creators Jennifer Dentith, University of Leeds
Dataset theme Geoscientific Information
Dataset abstract

Output from the FAMOUS General Circulation Model presented in the study by Dentith et al. (2018) "Ocean circulation drifts in multi-millennial climate simulations: the role of salinity corrections and climate feedbacks". The following ocean variables are included at model resolution (2.5 ° x 3.75 °): salinity, meridional overturning streamfunction, potential temperature, mixed layer depth, and barotropic streamfunction. Precipitation, evaporation and sea ice concentration data are also included at atmospheric resolution (5 ° x 7.5 °). All data has been processed into netCDF timeseries.

Dataset content dates 01/10/2016 - 01/02/2018
Dataset spatial coverage Global
Dataset supply format tar file
Dataset language English-United Kingdom
Dataset discovery metadata record Discovery Link to the dataset's BGS Discovery Metadata record
Dataset publisher British Geological Survey
Dataset publication date May 2018
Dataset digital object identifier(DOI) 10.5285/fce574c4-1a57-4559-9190-d20de085e55e
Dataset citation text Jennifer Dentith (2018) Model output presented in the manuscript "Ocean circulation drifts in multi-millennial climate simulations: the role of salinity corrections and climate feedbacks" by Dentith et al. (2018). British Geological Survey. http://dx.doi.org/10.5285/fce574c4-1a57-4559-9190-d20de085e55e
Constraints and terms of use This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]".
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Further information Dentith, J.E., Ivanovic, R.F., Gregoire, L.J. et al. Clim Dyn (2018).
https://doi.org/10.1007/s00382-018-4243-y