title: Decadal climate prediction (project GCEP).
abstract: Decadal prediction uses climate models forced by changing greenhouse gases, as in the International Panel for Climate Change, but unlike longer range predictions they also require initialization with observations of the current climate. In particular, the upper-ocean heat content and circulation have a critical influence. Decadal prediction is still in its infancy and there is an urgent need to understand the important processes that determine predictability on these timescales. We have taken the first Hadley Centre Decadal Prediction System (DePreSys) and implemented it on several NERC institute compute clusters in order to study a wider range of initial condition impacts on decadal forecasting, eventually including the state of the land and cryosphere. The eScience methods are used to manage submission and output from the many ensemble model runs required to assess predictive skill. Early results suggest initial condition skill may extend for several years, even over land areas, but this depends sensitively on the definition used to measure skill, and alternatives are presented. The Grid for Coupled Ensemble Prediction (GCEP) system will allow the UK academic community to contribute to international experiments being planned to explore decadal climate predictability.
authors.affiliation: University of Reading, 3 Earley Gate, Whiteknights, Reading RG6 6AL, UK. kh@mail.nerc-essc.ac.uk
authors.forename: Keith
authors.initials: K
authors.lastname: Haines
authors.forename: Leon
authors.initials: L
authors.lastname: Hermanson
authors.forename: Chunlei
authors.initials: C
authors.lastname: Liu
authors.forename: Debbie
authors.initials: D
authors.lastname: Putt
authors.forename: Rowan
authors.initials: R
authors.lastname: Sutton
authors.forename: Alan
authors.initials: A
authors.lastname: Iwi
authors.forename: Doug
authors.initials: D
authors.lastname: Smith
mesh_terms: D002980:Climate; D003198:Computer Simulation; D004463:Ecology / Q000379:methods* / Q000639:trends; D004784:Environmental Monitoring / Q000379:methods; D005544:Forecasting; D020407:Internet; D055904:Meteorology / Q000379:methods*; D008962:Models, Theoretical; D012984:Software; D014887:Weather