Scopus记录号: 2-s2.0-85061594127
论文题名: Improved decadal prediction of Northern-Hemisphere summer land temperature
作者: Wu B. ; Zhou T. ; Li C. ; Müller W.A. ; Lin J.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2019
语种: 英语
英文摘要: The prediction of multiyear to decadal climate variability is important for stakeholders and decision-makers who are engaged in near-term planning activities. The decadal climate prediction experiments (DPEs) by predicting near-term climate with initialized global climate models (GCMs) provide robust skill at predicting sea surface temperature variability in some ocean regions as the North Atlantic. However, the state-of-the-art DPEs, which reproduce the observed warming trend associated with forced climate change, fail at predicting land surface air temperature (SAT) interdecadal variability. Here, we develop an effective statistical-dynamical model to predict spatial and temporal evolutions in Northern-Hemisphere (NH) summer land SAT. We identify two dominant interdecadal variability modes of the NH summer land SAT, whose evolutions are synchronized with forced climate change and Atlantic multidecadal variability (AMV), respectively. Based on statistical relationships with physical interpretations, time series of the forced responses and the AMV skillfully predicted by GCMs, the land SAT over the past one hundred years is predicted retrospectively with significantly improved skill compared to that predicted by the DPEs. Our results indicate that the decadal variability of the NH land SAT is predictable, with predictability rooted in atmospheric interdecadal circumglobal teleconnection (CGT) forced by the AMV. More skillful NH climate prediction by DPEs, which would be more practical for stakeholders and decision-makers, can be achieved by improving interdecadal CGT simulations in GCMs. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. 资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122536
Appears in Collections: 气候变化事实与影响
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作者单位: LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Max Planck Institute for Meteorology, Hamburg, Germany; Deutscher Wetterdienst, Hamburg, Germany
Recommended Citation:
Wu B.,Zhou T.,Li C.,et al. Improved decadal prediction of Northern-Hemisphere summer land temperature[J]. Climate Dynamics,2019-01-01