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Open AccessArticle

Assessment of CMIP5 Models Based on the Interdecadal Relationship between the PDO and Winter Temperature in China

1
School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China
2
School of Atmospheric Sciences and Institute for Climate and Global Change, Nanjing University, Nanjing 210023, China
3
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters and Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China
*
Authors to whom correspondence should be addressed.
Atmosphere 2019, 10(10), 597; https://doi.org/10.3390/atmos10100597
Received: 11 August 2019 / Revised: 26 September 2019 / Accepted: 27 September 2019 / Published: 2 October 2019
(This article belongs to the Section Climatology and Meteorology)
In this study, the impact of the Pacific Decadal Oscillation (PDO) on the China winter temperature (CWT) was assessed on an interdecadal timescale, and the capacities of the 35 models of the fifth Coupled Model Intercomparison Project (CMIP5) were assessed by simulating the PDO-CWT teleconnection. The Met Office Hadley Centre’s sea ice and sea surface temperature (HadISST) were used as the observational data, and Climatic Research Unit (CRU) datasets provided long-term temperature data for the 1901–2005 period. By calculating the spatial correlation coefficient between the PDO index and winter temperature in China, thirteen CMIP5 models close to the HadISST datasets were selected for this study. These models were averaged as the good multi-model ensemble (GOODMME), and the PDO-CWT spatial correlation between the GOODMME and the observations was 0.80. Overall, the correlation coefficient between the PDO index and atmospheric circulation suggests that the GOODMME produces the same excellent results as do the observations. The results also verify the GOODMME’s superiority in simulating the impact of the PDO on winter temperatures in China. The possible mechanisms underlying the impact of the different phases of the PDO on the CWT are also described.
Keywords: CMIP5; PDO; China winter temperature; interdecadal variability CMIP5; PDO; China winter temperature; interdecadal variability
MDPI and ACS Style

Xu, Y.; Li, T.; Shen, S.; Hu, Z. Assessment of CMIP5 Models Based on the Interdecadal Relationship between the PDO and Winter Temperature in China. Atmosphere 2019, 10, 597.

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