Session: Cross-cutting Group 2 (Paleovar, Past to future, Data assimilation)
Author: Chris Brierley / firstname.lastname@example.org / University College London
Co-author: John Fasullo, National Center for Atmospheric Research;
Adam Phillips, National Center for Atmospheric Research;
The Paleovariability working group aims to foster and facilitate research into looking at how climate variability changed in the past. The majority of its focus so far has been on ENSO. Partly this is due to ENSO's global dominance at interannual timescales. But we feel that this is also partly down to the effort required to download and compute standard climate variability indices from the PMIP simulations. However substantial effort has recently been expended in developing a software stack to automate Earth System Model validation (ESMval; Eyring et al, 2015). Like PMIP's own benchmarking activity, this has predominantly been focused on analysing the mean state of the climate. Nonetheless, significant progress has been made towards the standardised and routine calculation of multiple modes of climate variability (Phillips et al, 2014). On behalf of the Paleovariability working group, University College London is undertaking the computation of these modes and diagnostics. The intention of this effort is to (a) provide a first look at variability in PMIP4 (b) permit quick assessment of the potential of future research studies (c) provide pre-computed time series/patterns to allow studies to compare to climate variability, without needing to the download simulation data itself. Here we would like to demonstrate the utility of this effort, by showing results of the diagnostic package from PMIP3 simulations.