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Atmosphere 2018, 9(3), 79;

Climatology and Interannual Variability of Winter North Pacific Storm Track in CMIP5 Models

College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Nanjing Star-Jelly Environmental Consultants Co. Ltd., Nanjing 210013, China
Author to whom correspondence should be addressed.
Received: 27 December 2017 / Revised: 17 February 2018 / Accepted: 21 February 2018 / Published: 25 February 2018
(This article belongs to the Section Climatology and Meteorology)
PDF [9048 KB, uploaded 25 February 2018]


We examine the capability of thirteen Coupled Model Intercomparison Project (CMIP) phase 5 (CMIP5) models in simulating climatology and interannual variability of Winter North Pacific Storm Track (WNPST). It is found that nearly half of the selected models can reproduce the spatial pattern of WNPST climatology. However, the strength and spatial variation of WNPST climatology are weak in most of the models. Most differences among the models are in the northeast of the simulated multi-model ensemble (MME) climatology, while it is more consistent in the south. The MME can reflect not only the center position, but also the strength and spatial distribution of interannual variation of the WNPST amplitude. Except for CNRM-CM5, the interannual standard deviations of simulated WNPST strength and spatial variation in all other models are weak. ACCESS1-3 and CanESM2 have a better capability in simulating the spatial modes of WNPST, while the simulated second and third modes in some models are in opposite order with those in NCEP (National Centers for Environmental Prediction) reanalysis. Only five models and MME can capture “midwinter suppression” feature in their simulations. Compared with NCEP reanalysis, the winter longitude index is larger and latitude index is smaller in most of the models, indicating the simulated storm track is further east and south. CNRM-CM5, MME and CMCC-CM could be used to evaluate interannual variation of strength index, longitude index and latitude index respectively. Nevertheless, only INM-CM4 and CNRM-CM5 can simulate southward drift of WNPST. View Full-Text
Keywords: Winter North Pacific Storm Track; CMIP5; interannual variability; spatial mode; storm track index Winter North Pacific Storm Track; CMIP5; interannual variability; spatial mode; storm track index

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Yang, M.; Li, X.; Zuo, R.; Chen, X.; Wang, L. Climatology and Interannual Variability of Winter North Pacific Storm Track in CMIP5 Models. Atmosphere 2018, 9, 79.

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