Climate Dynamics

, Volume 41, Issue 11, pp 2875–2888

Real-time multi-model decadal climate predictions

Authors

    • Met Office Hadley Centre
  • Adam A. Scaife
    • Met Office Hadley Centre
  • George J. Boer
    • Canadian Centre for Climate Modelling and Analysis, Environment Canada
  • Mihaela Caian
    • Rossby CentreSwedish Meteorological and Hydrological Institute
  • Francisco J. Doblas-Reyes
    • Institut Català de Ciències del Clima
  • Virginie Guemas
    • Institut Català de Ciències del Clima
  • Ed Hawkins
    • NCAS-Climate, Department of MeteorologyUniversity of Reading
  • Wilco Hazeleger
    • Royal Netherlands Meteorological Institute (KNMI)
    • Wageningen University
  • Leon Hermanson
    • Met Office Hadley Centre
  • Chun Kit Ho
    • NCAS-Climate, Department of MeteorologyUniversity of Reading
  • Masayoshi Ishii
    • Meteorological Research InstituteJapan Meteorological Agency
  • Viatcheslav Kharin
    • Canadian Centre for Climate Modelling and Analysis, Environment Canada
  • Masahide Kimoto
    • Atmosphere and Ocean Research InstituteUniversity of Tokyo
  • Ben Kirtman
    • RSMAS/MPOUniversity of Miami
  • Judith Lean
    • Space Science DivisionNaval Research Laboratory
  • Daniela Matei
    • Max-Planck-Institut für Meteorologie
  • William J. Merryfield
    • Canadian Centre for Climate Modelling and Analysis, Environment Canada
  • Wolfgang A. Müller
    • Max-Planck-Institut für Meteorologie
  • Holger Pohlmann
    • Max-Planck-Institut für Meteorologie
  • Anthony Rosati
    • Geophysical Fluid Dynamics LaboratoryPrinceton University
  • Bert Wouters
    • Royal Netherlands Meteorological Institute (KNMI)
  • Klaus Wyser
    • Rossby CentreSwedish Meteorological and Hydrological Institute
Article

DOI: 10.1007/s00382-012-1600-0

Cite this article as:
Smith, D.M., Scaife, A.A., Boer, G.J. et al. Clim Dyn (2013) 41: 2875. doi:10.1007/s00382-012-1600-0

Abstract

We present the first climate prediction of the coming decade made with multiple models, initialized with prior observations. This prediction accrues from an international activity to exchange decadal predictions in near real-time, in order to assess differences and similarities, provide a consensus view to prevent over-confidence in forecasts from any single model, and establish current collective capability. We stress that the forecast is experimental, since the skill of the multi-model system is as yet unknown. Nevertheless, the forecast systems used here are based on models that have undergone rigorous evaluation and individually have been evaluated for forecast skill. Moreover, it is important to publish forecasts to enable open evaluation, and to provide a focus on climate change in the coming decade. Initialized forecasts of the year 2011 agree well with observations, with a pattern correlation of 0.62 compared to 0.31 for uninitialized projections. In particular, the forecast correctly predicted La Niña in the Pacific, and warm conditions in the north Atlantic and USA. A similar pattern is predicted for 2012 but with a weaker La Niña. Indices of Atlantic multi-decadal variability and Pacific decadal variability show no signal beyond climatology after 2015, while temperature in the Niño3 region is predicted to warm slightly by about 0.5 °C over the coming decade. However, uncertainties are large for individual years and initialization has little impact beyond the first 4 years in most regions. Relative to uninitialized forecasts, initialized forecasts are significantly warmer in the north Atlantic sub-polar gyre and cooler in the north Pacific throughout the decade. They are also significantly cooler in the global average and over most land and ocean regions out to several years ahead. However, in the absence of volcanic eruptions, global temperature is predicted to continue to rise, with each year from 2013 onwards having a 50 % chance of exceeding the current observed record. Verification of these forecasts will provide an important opportunity to test the performance of models and our understanding and knowledge of the drivers of climate change.

Keywords

Decadal climate predictionMulti-model ensembleForecast

Supplementary material

382_2012_1600_MOESM1_ESM.doc (86 kb)
Supplementary material 1 (DOC 86 kb)

Copyright information

© Crown Copyright 2012