Preprints
https://doi.org/10.5194/gmd-2021-290
https://doi.org/10.5194/gmd-2021-290

Submitted as: development and technical paper 25 Aug 2021

Submitted as: development and technical paper | 25 Aug 2021

Review status: this preprint is currently under review for the journal GMD.

Analyzing the PMIP4-CMIP6 ensemble: a workflow and tool (pmip_p2fvar_analyzer v1)

Anni Zhao, Chris M. Brierley, Zhiyi Jiang, Rachel Eyles, Damián Oyarzún, and Jose Gomez-Dans Anni Zhao et al.
  • Dept of Geography, University College London, London, WC1E 6BT, UK

Abstract. Experiment outputs are now available from the Coupled Model Intercomparison Project’s 6th phase (CMIP6) and the past climate experiments defined in the Model Intercomparison Project’s 4th phase (PMIP4). All of this output is freely available from the Earth System Grid Federation (ESGF). Yet there are overheads in analysing this resource that may prove complicated or prohibitive. Here we document the steps taken by ourselves to produce ensemble analyses covering past and future simulations. We outline the strategy used to curate, adjust the monthly calendar aggregation and process the information downloaded from the ESGF. The results of these steps were used to perform analysis for several of the initial publications arising from PMIP4. We provide post-processed fields for each simulation, such as climatologies and common measures of variability. Example scripts used to visualise and analyse these fields is provided for several important case studies.

Anni Zhao et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Location on GitHub', Chris Brierley, 13 Sep 2021
  • RC1: 'Comment on gmd-2021-290', Anonymous Referee #1, 24 Sep 2021
    • AC1: 'Initial response to RC1', Anni Zhao, 05 Oct 2021
  • RC2: 'Comment on gmd-2021-290', Patrick Bartlein, 28 Sep 2021
    • AC2: 'Initial response to RC2', Anni Zhao, 05 Oct 2021

Anni Zhao et al.

Anni Zhao et al.

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Short summary
We describes the way that our group have chosen to perform our recent analyses of the Palaeoclimate Modelling Intercomparison Project ensemble simulations. We document the approach used to obtain and curate the simulations, process those outputs via the Climate Variability Diagnostics Package, and then continue through to compute ensemble-wide statistics and create figures. We also provide interim data from all steps, the codes used and an ability for users to perform their own analyses.