Simulation and Projection of Northern Hemisphere Blockings In CMIP5 Models

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The frequencies of atmospheric blocking are analyzed as simulated in 16 models from phase 5 of the Coupled Model Intercomparison Project (CMIP5) over North Hemisphere especially over key regions where blocking highs influencing China (the Ural, Baikal and Okhotsk), and the Representative Concentration Pathway 4.5 (RCP4.5) integrations are used to examine projected future changes in a warmer climate. Comparison with reanalysis data reveals that the frequencies of North Atlantic-Eurasia blocking are significantly underestimated throughout the year, however, multi-model mean generally overestimates the blocking frequency over high-latitude of Pacific. Ural blocking, Lake Baikal and Okhotsk Sea blocking frequencies are found to be mainly underestimated especially during the cold season. The RCP4.5 integrations show a heavily reduced for blocking frequency over North Atlantic and higher latitude of Eurasia in 2044-2099, but high-latitude blocking over Atlantic and Pacific presents a small increase. A significant increase of the Ural blocking is found. In contrast to the trend of blocking index for RCP4.5 path in the second half of the 21st, the increasing trend from 2006 to 2050 is distinct, the blocking increasing trend is more significant in summer than in winter over the three regions.

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Advanced Materials Research (Volumes 962-965)

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1308-1313

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Barnes E. A., J. Slingo, and T. Woollings, A methodology for the comparison of blocking climatologies across indies, models and climate scenarios. Climate Dyn., 2012, 38, 2467-2481.

DOI: 10.1007/s00382-011-1243-6

Google Scholar

[2] Park T. W., C. H. Ho, and S. Yang, Relationship between the arctic oscillation and cold surges over east asia. J. Climate, 2011, 24, 68-83.

DOI: 10.1175/2010jcli3529.1

Google Scholar

[3] Namias J, Characteristics of the General Circulation over the Northern Hemisphere during the abnormal winter 1946-1947. Mon Wea Rev, 1947, 75, 145-152.

DOI: 10.1175/1520-0493(1947)075<0145:cotgco>2.0.co;2

Google Scholar

[4] Yeh Tu-cheng, On energy dispersion in the atmosphere. J. Meteor, 1949, 6, 1-16.

Google Scholar

[5] Duzheng Ye, Shiyao Tao, Baozhen Zhu, et al, Study of blocking situation in North Hemisphere Winter. Beijing: Science Press, 1962, 1-2. (In Chinese).

Google Scholar

[6] Ronghua Jin, Yan Li, Shigong Wang, Comparison and Analysis among Four Objective and Quantificational Blocking Indexes. Plateau Meteorology, 2009, 28(5): 1121-1128. (In Chinese).

Google Scholar

[7] Dole R. M., The objective representation of blocking patterns. The General Circulation: Theory, modeling and observation, NCAR colloquim Notes: Summer 1978, NCAR/CQ - 6 + 1978 - ASP, 404-426.

Google Scholar

[8] Lejenas, Økland, Characteristics of North Hemisphere blocking as determined from a long timeseries of observation data. Tellus, 1983, 35A, 350-362.

DOI: 10.1111/j.1600-0870.1983.tb00210.x

Google Scholar

[9] Pelly J. L., B. J. Hoskins, A new perspective on blocking. J. Atmos Sci, 2003, 60, 743-755.

DOI: 10.1175/1520-0469(2003)060<0743:anpob>2.0.co;2

Google Scholar

[10] Rex D. F., Blocking action in the middle troposphere and its effect upon regional climate. Tellus, 1950, 2, 196-211.

DOI: 10.1111/j.2153-3490.1950.tb00331.x

Google Scholar

[11] Jijia Zhang, Hao Xu, Statistical Analysis of the blocking patterns in the North Hemisphere. Journal of Nanjing Institude of Meteorology, 1991, 14(1), 1-9. (In Chinese).

Google Scholar

[12] Zhenguo Zhao, Flood/Drought and Its Environment Fields during Summer Precipitation in North China. Beijing: China Meteorological Press, 1999, 75-78. (In Chinese).

Google Scholar

[13] Barriopedro D., R. Garcia-Herrera, R. M . Trigo, Application of blocking diagnosis methods to general circulation models. Clim. Dynam., 2010, 35(7-8), 1373-1391.

DOI: 10.1007/s00382-010-0767-5

Google Scholar

[14] Barnes E. A., D. L. Hartmann, Influence of eddy-driven jet latitude on North Atlantic jet persistence and blocking frequency in CMIP3 integrations. Geophys. Res. Lett., 2010, 37, doi: 10. 10 29/2010GL045700.

DOI: 10.1029/2010gl045700

Google Scholar

[15] Giacomo Masato, Brian J Hoskins, Tim Woollings, Winter and Summer North Hemisphere Blocking in CMIP5 models. J. Climate, 2013, 26, 7044-7059.

DOI: 10.1175/jcli-d-12-00466.1

Google Scholar

[16] Nakamura H., M. Nakamura, and J. Andeson, The role of high- and low- frequency dynamics in blocking formation. Mon. Wea. Rev., 1997, 125(9), 2074-(2093).

DOI: 10.1175/1520-0493(1997)125<2074:trohal>2.0.co;2

Google Scholar

[17] Scaife A., T. J. Woollings, J. Knight, G. Martin, and T. Hinton, Atmospheric blocking and mean biases in climate models. J. Climate, 2010, 23(23), 6143-6152.

DOI: 10.1175/2010jcli3728.1

Google Scholar

[18] Etienne Dunn-Sigouin, Seok-Woo Son, North Hemisphere blocking frequency in the CMIP5 models. Journal of Geophysical Research: Atmosphere, 2013, 118(3), 1179-1188.

DOI: 10.1002/jgrd.50143

Google Scholar