Edinburgh Research Explorer

Simulations to explore impact of calibration of model parameters on climate sensitivity


Related Edinburgh Organisations

PublisherEdinburgh DataVault
Date of data production1 Jan 2017 - 31 Aug 2019
Date made available31 Aug 2020
Geographical coverageGlobal


Raw data used in study, in preparation, by Tett et al. PP data, is a format used by the Met Office for its weather and climate model data output. Data can be read by the Iris Python module from conda-forge. See https://scitools.org.uk/iris/docs/latest/ for documentaton on the package.

## Access ##
This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh users. External users are very welcome to request access to a copy of the data by contacting the Principal Investigator, Contact Person or Data Manager named on this page once the paper has been accepted. University of Edinburgh users who wish to have direct access should consult the information about retrieving data from the DataVault at: http://www.ed.ac.uk/is/research-support/datavault .


This study investigates the hypothesis that a significant portion of spread in climate model projections of sea ice is due to poorly-constrained model parameters. New automated methods for optimization are applied to multiple parameters and the strength of the climate feedbacks investigated with a suite of standard coupled simulations. This dataset supports a manuscript which, at the time of deposit, is still in preparation.

Data Citation

Tett, S; Mineter, M "Simulations to explore impact of calibration of model parameters on climate sensitivity" [dataset] (2019) Edinburgh DataVault. https://doi.org/10.7488/84b585fc-57d2-4e5a-b3a3-694f70534a02

Contact person

Reason for data restriction and conditions for release

Publication still in preparation

Physical data

  • Simulated data from suite of HadCM3 simulations

    Storage locationEdinburgh DataVault
    Access descriptionPlease contact the PI or Data manager

ID: 111036721