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Quantitative assessment of the climate components driving the pacific decadal oscillation in climate models

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Abstract

The Pacific decadal oscillation (PDO) is defined as the first empirical orthogonal function (EOF) mode of the North Pacific sea surface temperature anomalies. In this study, we reconstructed the PDO using the first-order autoregressive model from various climate indices representing the El Niño-Southern oscillation (ENSO), Aleutian Low (AL), sea surface height (SSH), and thermocline depth over the Kuroshio–Oyashio extension (KOE) region. The climate indices were obtained from observation and twentieth-century simulations of the eight coupled general circulation models (CGCMs) participating in the Climate Model Intercomparison Project Phase III (CMIP3). In this manner, we quantitatively assessed the major climate components generating the PDO using observation and models. Based on observations, the PDO pattern in the central to eastern North Pacific was accurately reconstructed by the AL and ENSO indices, and that in the western North Pacific was best reconstructed by the SSH and thermocline indices. In the CMIP3 CGCMs, the relative contribution of each component to the generation of the PDO varied greatly from model to model, and observations, although the PDO patterns from most of the models were similar to the pattern observed. In the models, the PDO pattern in the eastern and western North Pacific were well reconstructed using the AL and SSH indices, respectively. However, the PDO pattern reconstructed by the ENSO index was quite different from the observed pattern, which was possibly due to the model's common deficiency in simulating the amplitude and location of the ENSO. Furthermore, the differences in the contribution of the KOE thermocline index between the observed pattern and most of the models indicated that the PDO pattern associated with ocean wave dynamics is not properly simulated by most models. Therefore, the virtually well simulated PDO pattern by models is a result of physically inconsistent processes.

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Notes

  1. Actually, when the monthly SST anomalies beginning in 1958 and ending in 1999 are used in the EOF analysis, the first EOF pattern of the CGCM_t47 is different from the horseshoe PDO pattern. The EOF pattern of the CGCM_t47 has a broad warm anomaly in most of the North Pacific, and its time series shows an increasing trend. These differences between the first EOF patterns of the previous and present studies occur because Overland and Wang (2007) used the entire time period of the 20C3M experiment data ranging from 1901 to 1999, although we only used the data from the last 42 years. Generally, the temperature change of the models increased proportionally to the CO2 concentration. During this time period, the average global SST and average North Pacific region SST increased the most in the CGCM-t47 model among the eight models, and the increase was larger in the North Pacific SST than the global SST. When the trend was removed in the CGCM-t47, the first EOF pattern of the North Pacific SST anomaly pattern became similar to that of the observation data. Therefore, we removed the liner trend only in CGCM-t47 before applying EOF. However, we do not remove the liner trend in other models because their linear trends are very small.

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Acknowledgments

We acknowledge the modeling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI), and the WCRP's Working Group on Coupled Modeling (WGCM) for their roles in making available the WCRP CMIP3 multi-model data set. Support of this data set is provided by the Office of Science, US Department of Energy. This work was funded by the Korea Meteorological Administration Research and Development Program under Grant CATER 2012-3043.

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Correspondence to Soon-Il An.

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Park, JH., An, SI., Yeh, SW. et al. Quantitative assessment of the climate components driving the pacific decadal oscillation in climate models. Theor Appl Climatol 112, 431–445 (2013). https://doi.org/10.1007/s00704-012-0730-y

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  • DOI: https://doi.org/10.1007/s00704-012-0730-y

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