The changes of high-temperature extremes and their links with atmospheric circulation over the Northern Hemisphere
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The present study investigated the changes of high-temperature extremes and their links with atmospheric circulation over the Northern Hemisphere during 1979–2012 based on daily records of maximum temperature and geopotential height fields. We mainly used the 90th percentile of daily maximum temperatures as a threshold to identify hot day. The number of hot days (NHD) shows significant increasing trends over the East Asia (EA), Mediterranean (TM), and United States of America (USA) from 1979 to 2012, suggesting that these regions may suffer from increasing high-temperature extremes The regional mean linear trend over EA is 0.18 days/year and showed an increase in 1996, with the maximum trends in Mongolian Plateau and Loess Plateau. In the TM region, NHD increased with a rate of 0.35 days/year and showed an increase in 1997, and most significant trend was found in the Arabian Peninsula. In the USA, the NHD had a significant inter-annual variability and increased with a rate of 0.1 days/year. Moreover, high-temperature extremes over most parts of the three regions are associated with barotropical anticyclonic anomalies and subsidence, which may enhance solar radiation to surface.
This work was supported by the National Natural Science Foundation of China (41425019, 41831175, and 41721004).
- Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Tank A, ... Vazquez-Aguirre JL (2006). Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res-Atmos, 111(D5). doi: https://doi.org/10.1029/2005jd006290
- Black E, Blackburn M, Harrison G, Hoskins B, Methven J (2004) Factors contributing to the summer 2003 European heatwave. Weather 59 (8):217–223. https://doi.org/10.1256/wea.74.04
- Choi G, Collins D, Ren G, Trewin B, Baldi M, Fukuda Y, Afzaal M, Pianmana T, Gomboluudev P, Huong PTT, Lias N, Kwon WT, Boo KO, Cha YM, Zhou Y (2009) Changes in means and extreme events of temperature and precipitation in the Asia-Pacific network region, 1955-2007. Int J Climatol 29(13):1906–1925. https://doi.org/10.1002/joc.1979 CrossRefGoogle Scholar
- Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda MA, Balsamo G, Bauer P, Bechtold P, Beljaars ACM, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer AJ, Haimberger L, Healy SB, Hersbach H, Hólm EV, Isaksen L, Kållberg P, Köhler M, Matricardi M, McNally AP, Monge-Sanz BM, Morcrette JJ, Park BK, Peubey C, de Rosnay P, Tavolato C, Thépaut JN, Vitart F (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137(656):553–597. https://doi.org/10.1002/qj.828 CrossRefGoogle Scholar
- Dole R, Hoerling M, Perlwitz J, Eischeid J, Pegion P, Zhang T, Quan XW, Xu T Murray D (2011). Was there a basis for anticipating the 2010 Russian heat wave? Geophys Res Lett, 38. doi: https://doi.org/10.1029/2010gl046582,
- IPCC (2013). The physical science basis Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, ed T Stocker et al. Cambridge University Press, CambridgeGoogle Scholar
- Peng SB, Huang JL, Sheehy JE, Laza RC, Visperas RM, Zhong XH, ... Cassman KG (2004). Rice yields decline with higher night temperature from global warming. Proc Natl Acad Sci U S A, 101(27), 9971–9975. doi: https://doi.org/10.1073/pnas.0403720101
- Weedon GP, Gomes S, Viterbo P, Shuttleworth WJ, Blyth E, Oesterle H, ... Best M (2011). Creation of the WATCH Forcing Data and its use to assess global and regional reference crop evaporation over land during the twentieth century. J Hydrometeorol, 12(5), 823–848. doi: https://doi.org/10.1175/2011jhm1369.1
- WMO (2013). The global climate 2001–2010: a decade of climate extremes. World Meteorological Organization Rep. 1103, 119pp. (Available online at https://library.wmo.int/pmb_ged/wmo_1119_en.pdf)
- Zhao Y, Ducharne A, Sultan B, Braconnot P, and Vautard R (2015). Estimating heat stress from climate-based indicators: present-day biases and future spreads in the CMIP5 global climate model ensemble. Environ Res Lett, 10(8). doi: https://doi.org/10.1088/1748-9326/10/8/084013