In May 2017 we held the second, annual, project-wide research meeting. This two-day gathering of SMURPHS teams was held at the National Oceanography Centre in Southampton and was attended by researchers from all 9 partner institutions.
The event was kicked-off with a keynote presentation by SMURPHS Adviser Professor Matthew England, Deputy Director of Climate Change Research Centre and Chief Investigator at The ARC Centre of Excellence for Climate System Science, UNSW, Sydney, Australia. An expert on the physics of the oceans and their role in climate variability and climate change, Matt spoke on ‘Pacific decadal variability and its impact on global climate’.
Presentations given across the two days spanned the full spectrum of SMURPHS research theme activity, from ‘Fingerprints and timing of hiatus and surge events’ to ‘Current and near-future volcanic forcing of global climate change’ – see full list of presentations below. A principal focus of the discussions was the identification of cross-theme research topics and novel interdisciplinary publications. Many exciting publications are now in the pipeline.
SMURPHS Research Presentations
Piers Forster, Leeds, ‘SMURPHS project – the wider context’
Tim Osborn, UEA, ‘Fingerprints and timing of hiatus and surge events’
Damien Desbruyères, (formerly) NOC, ‘Multi-decadal temperature variability of the North Atlantic Subpolar Gyre’
Gabi Hegerl, Edinburgh, ‘The instrumental era: mysterious aerosol forcing and variability’
Dan Jones, BAS, ‘Controls on Scotia Sea water properties: an ad joint sensitivity study’
Jules Kajtar, Exeter ‘Exploring the under-representation of decadal Pacific trade wind trends in models’
Ramiro Checa-Garcia, Reading ‘Greenhouse gas radiative forcing: datasets, codes and results’
Elaine McDonagh, NOC, ‘New Large Grant TICTOC – Transient tracer-based Investigation of Circulation and Thermal Ocean Change’
Anja Schmidt, Leeds, ‘Current and near-future volcanic forcing of global climate change’
Leighton Regayre, Leeds, ‘D1: Spanning plausible temperature responses by optimally combining forcing time series’
Chris Smith, Leeds, ‘Climate model integrations’