DOI: 10.1007/s00382-014-2164-y
Scopus记录号: 2-s2.0-84939891498
论文题名: An assessment of a multi-model ensemble of decadal climate predictions
作者: Bellucci A. ; Haarsma R. ; Gualdi S. ; Athanasiadis P.J. ; Caian M. ; Cassou C. ; Fernandez E. ; Germe A. ; Jungclaus J. ; Kröger J. ; Matei D. ; Müller W. ; Pohlmann H. ; Salas y Melia D. ; Sanchez E. ; Smith D. ; Terray L. ; Wyser K. ; Yang S.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 44, 期: 2017-09-10 起始页码: 2787
结束页码: 2806
语种: 英语
英文摘要: A multi-model ensemble of decadal prediction experiments, performed in the framework of the EU-funded COMBINE (Comprehensive Modelling of the Earth System for Better Climate Prediction and Projection) Project following the 5th Coupled Model Intercomparison Project protocol is examined. The ensemble combines a variety of dynamical models, initialization and perturbation strategies, as well as data assimilation products employed to constrain the initial state of the system. Taking advantage of the multi-model approach, several aspects of decadal climate predictions are assessed, including predictive skill, impact of the initialization strategy and the level of uncertainty characterizing the predicted fluctuations of key climate variables. The present analysis adds to the growing evidence that the current generation of climate models adequately initialized have significant skill in predicting years ahead not only the anthropogenic warming but also part of the internal variability of the climate system. An important finding is that the multi-model ensemble mean does generally outperform the individual forecasts, a well-documented result for seasonal forecasting, supporting the need to extend the multi-model framework to real-time decadal predictions in order to maximize the predictive capabilities of currently available decadal forecast systems. The multi-model perspective did also allow a more robust assessment of the impact of the initialization strategy on the quality of decadal predictions, providing hints of an improved forecast skill under full-value (with respect to anomaly) initialization in the near-term range, over the Indo-Pacific equatorial region. Finally, the consistency across the different model predictions was assessed. Specifically, different systems reveal a general agreement in predicting the near-term evolution of surface temperatures, displaying positive correlations between different decadal hindcasts over most of the global domain. © 2014, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54234
Appears in Collections: 过去全球变化的重建
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作者单位: Centro Euro-Mediterraneo sui Cambiamenti Climatici, Viale A. Moro 44, Bologna, Italy; Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy; Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands; Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden; European Centre for Research and Advanced Training in Scientific Computation (CERFACS), Toulouse, France; CNRM, Météo-France, Toulouse, France; Max-Planck-Institut für Meteorologie, Hamburg, Germany; Met Office Hadley Centre, Exeter, United Kingdom; Danish Meteorological Institute (DMI), Copenhagen, Denmark
Recommended Citation:
Bellucci A.,Haarsma R.,Gualdi S.,et al. An assessment of a multi-model ensemble of decadal climate predictions[J]. Climate Dynamics,2015-01-01,44(2017-09-10)