Abstract
High-impact cold extremes have continued to bring devastating socioeconomic losses in recent years. In order to explain the exposure to cold extremes more comprehensively, this study investigates multiple aspects of boreal winter cold extremes, i.e., frequency, persistence, and entropy (Markovian descriptors). Cold extremes are defined by the bottom 10th percentile of daily minimum temperatures during 1950-2014 over the northern hemisphere. The spatial and temporal distributions of Markovian descriptors during 65 years are examined. Climatological mean fields show the spatial coincidence of higher frequency, shorter persistence, and higher entropy of cold extremes, and vice versa. In regard to the temporal variations over six representative regions of North America, Europe, and Asia, all regions share a decreasing tendency of frequency with the increases in regional winter mean temperature. By contrast, persistence and entropy show their intrinsic decadal variability depending on regions irrespective of the regional temperature variability, which give different information from frequency. Therefore, the exposure to cold extremes would not simply decrease with regional warming. Rather these results indicate that the descriptors with multiple aspects of the extremes would be needed to embrace the topical features as well as the holistic nature of cold extremes.
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Aguilar, E., and Coauthors, 2005: Changes in precipitation and temperature extremes in Central America and Northern South America, 1961-2003. J. Geophys. Res., 110, D23107, doi:10.1029/2005JD006119.
Barnes, E. A., 2013: Revisiting the evidence linking Arctic amplification to extreme weather in midlatitudes. Geophys. Res. Lett., 40, 4728–4733, doi:10.1002/grl.50880.
Blunden, J., and Coauthors, 2013: State of the climate in 2012. Bull. Amer. Meteor. Soc., 94, 1–238.
Caesar, J., L. Alexander, and R. Vose, 2006: Large-scale changes in observed daily maximum and minimum temperatures: Creation and analysis of a new gridded data set. J. Geophys. Res., 111, D05101, doi:10.1029/2005JD006280.
Domonkos, P., and K. Piotrowicz, 1998: Winter temperature characteristics in Central Europe. Int. J. Climatol., 18, 1405–1417, doi:10.1002/(SICI) 1097-0088(19981115)18:13<1405::AID-JOC323>3.0.CO;2-D.
Easterling, D. R., G. A. Meehl, C. Parmesan, S. A. Changnon, T. R. Karl, and L. O. Mearns, 2000: Climate extremes: Observations, modeling, and impacts. Science, 289, 2068–2074, doi:10.1126/science.289.5487. 2068.
Ferro, T. A., and J. Segers, 2003: Influence for clusters of extreme values. J. Roy. Stat. Soc., 65, 546–556, doi:10.1111/1467-9868.00401.
Francis, J. A., and S. J. Vavrus, 2012: Evidence linking Arctic amplification to extreme weather in mid-latitudes. Geophys. Res. Lett., 39, L06801, doi:10.1029/2012GL051000.
Gutschick, V. P., and H. BassiriRad, 2003: Extreme events as shaping physiology, ecology, and evolution of plants: toward a unified definition and evaluation of their consequences. New. Phytol., 160, 21–42, doi: 10.1046/j.1469-8137.2003.00866.x.
Hartmann, D. L., 2015: Pacific sea surface temperature and the winter of 2014. Geophys. Res. Lett., 42, 1894–1902, doi:10.1002/2015GL063083.
Herring, S. C., M. P. Hoerling, J. P. Kossin, T. C. Peterson, and P. A. Stott, 2015: Explaining extreme events of 2014 from a climate perspective. Bull. Amer. Meteor. Soc., 96, 1–172, doi: 10.1175/BAMS-ExplainingExtremeEvents2014.1.
Hill, M. F., J. D. Witman, and H. Caswell, 2004: Markov chain analysis of succession in a rocky subtidal community. American Nat., 164, 46–61, doi:10.1086/422340.
Horton, E. B., C. K. Folland, and D. E. Parker, 2001: The changing incidence of extremes in worldwide and Central England temperatures to the end of the twentieth century. Climatic Change, 50, 267–295, doi: 10.1023/A:1010603629772.
Inouye, T., K. Shinosaki, H. Sakamoto, S. Toi, S. Ukai, A. lyama, Y. Katsuda, and M. Hirano, 1991: Quantification of EEG irregularity by use of the entropy of the power spectrum. Electroencephalogr. Clin. Neurophysiol. 79, 204–210.
IPCC, 2013: Climate Change 2013: The Physical Science Basis: Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, 1535 pp.
Jones, P. D., E. B. Horton, C. K. Folland, M. Hulme, D. E. Parker, and T. A. Basnett, 1999: The use of indices to identify changes in climatic extremes. Climatic Change, 42, 131–149, doi:10.1023/A:1005468316-392.
Kim, B.-M., S.-W. Son, S.-K. Min, J.-H. Jeong, S.-J. Kim, X. Zhang, T. Shim, and J.-H. Yoon, 2014: Weakening of the stratospheric polar vortex by Arctic sea-ice loss. Nat. Commun., 5, 4646, doi:10.1038/ncomms5646.
Kunkel, K. E., D. R. Easterling, K. Hubbard, and K. Redmond, 2004: Temporal variations in frost-free season in the United States: 1895-2000. Geophys. Res. Lett., 31, L03201, doi:10.1029/2003GL018624.
Lorenz, R., E. B. Jaeger, and S. I. Seneviratne, 2010: Persistence of heat waves and its link to soil moisture memory. Geophys. Res. Lett., 37, L09703, doi:10.1029/2010GL042764.
Meehl, G. A., and Coauthors, 2000: An introduction to trends in extreme weather and climate events: Observations, socioeconomic impacts, terrestrial ecological impacts, and model projections. Bull. Amer. Meteor. Soc., 81, 413–416, doi:10.1175/1520-0477(2000)081<0413: AITTIE>2.3.CO;2.
Mieruch, S., S. Noël, H. Bovensmann, J. P. Burrows, and J. A. Freund, 2010: Markov chain analysis of regional climates. Nonlin. Proc. Geophys., 17, 651–661, doi:10.5194/npg-17-651-2010.
Norris, J. R., 1998: Markov Chains. 1st pbk. ed. Cambridge University Press, 237 pp.
Overland, J., J. A. Francis, R. Hall, E. Hanna, S.-J. Kim, and T. Vihma, 2015: The melting Arctic and midlatitude weather patterns: are they connected? J. Climate, 28, 7917–7932, doi:10.1175/JCLI-D-14-00822.1.
Parry, M., and Coauthors, 2001: Millions at Risk: Defining critical climate change threats and targets. Global environ. Change, 11, 181–183, doi: 10.1016/S0959-3780(01)00011-5.
Parry, M. L., and T. R. Cater, 1985: The effect of climatic variations on agricultural risk. Climatic Change, 7, 95–110, doi: 10.1007/BF00139443.
Pincus, S. M., 1991: Approximate entropy as a measure of system complexity. Proc. Natl. Acad. Sci., 88, 2297–2301.
Portis, D. H., M. P. Cellitti, W. L. Chapman, and J. E. Walsh, 2006: Lowfrequency variability and evolution of North American cold air outbreaks. Mon. Wea. Rev., 134, 579–597, doi:10.1175/MWR3083.1.
Rocklöv, J., K. Ebi, and B. Forsberg, 2011: Mortality related to temperature and persistent extreme temperatures: a study of cause-specific and age-stratified mortality. Occup. Environ. Med., 68, 531–536, doi: 10.1136/oem.2010.058818.
Rogers, J. C., and R. V. Rohli, 1991: Florida citrus freezes and polar anticyclones in the Great Plains. J. Climate, 4, 1103–1113, doi:10.1175/1520-0442(1991)004<1103:FCFAPA>2.0.CO;2.
Screen, J. A., and I. Simmonds, 2013: Exploring links between Arctic amplification and mid-latitude weather. Geophys. Res. Lett., 40, 959-964, doi:10.1002/grl.50174.
Styer, D. F., 2000: Insight into entropy. American J. Phys., 68, 1090–1096.
Secretariat, U. N. F. C. C. C., 2005: Compendium on methods and tools to evaluate impacts of and vulnerability and adaption to climate change. Final draft report, 143–155.
Thompson, D. W. J., and J. M. Wallace, 1998: The Arctic Oscillation signature in the wintertime geopotential height and temperature fields. Geophys. Res. Lett., 25, 1297–1300, doi:10.1029/98GL00950.
Walsh, J. E., A. S. Phillips, D. H. Portis, and W. L. Chapman, 2001: Extreme cold outbreaks in the United States and Europe, 1948-99. J. Climate, 14}, 2642–2658, doi:10.1175/1520-0442(2001)014<2642:ECOITU> 2.0.CO
Westby, R. M., Y.-Y. Lee, and R. X. Black, 2013: Anomalous temperature regimes during the cool season: long-term trends, low-frequency mode modulation, and representation in CMIP5 simulations. J. Climate, 26, 9061–9076, doi:10.1175/JCLI-D-13-00003.1.
Wilks, D. S., 1995: Statistical Methods in the Atmospheric Science. Academic Press, 284–300.
Woo, S. H., B. M. Kim, J. H. Jeong, S. J. Kim, and G. H. Lim, 2012: Decadal changes in surface air temperature variability and cold surge characteristics over northeast Asia and their relation with the Arctic Oscillation for the past three decades (1979-2011). J. Geophys. Res., 117, D18117, doi:10.1029/2011JD016929.
Zhang, Y., J. M. Wallace, and D. S. Battisti, 1997: ENSO-like interdecadal variability: 1900-93. J. Climate, 10, 1004–1020, doi:10.1175/1520-0442 (1997)010<1004:ELIV>2.0.CO;2.
Zhang, X., and Coauthors, 2005: Trends in Middle East climate extreme indices from 1950 to 2003. J. Geophys. Res., 110, D22104, doi: 10.1029/2005JD006181.
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Kim, HS., Choi, YS., Kim, JH. et al. Multiple aspects of northern hemispheric wintertime cold extremes as revealed by Markov chain analysis. Asia-Pacific J Atmos Sci 53, 51–61 (2017). https://doi.org/10.1007/s13143-017-0004-9
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DOI: https://doi.org/10.1007/s13143-017-0004-9