Abstract
Atmospheric blocking plays an important role in modulating mid-latitude weather, particularly for the Northern Hemisphere (NH). Trend analysis of atmospheric blocking for both hemispheres using Şen’s innovative trend analysis (ITA) is performed here. The blocking data archived at the University of Missouri which covers the period of 1968–2019 for NH and 1970–2019 for the Southern Hemisphere (SH) is used in this study. Block occurrence (BO), duration (BD), and blocking intensity (BI) are analyzed by classifying the NH (SH) into three groups according to the preferred block formation locations: Atlantic, Pacific, and Continental (Atlantic, Pacific, and Indian). In the NH, BI showed mixed results. There was a decreasing trend for the entire hemisphere and Atlantic Region while different trends were observed elsewhere. For BO and BD, the entire hemisphere and all regions showed increasing trends, which were statistically significant. In SH, BI shows a decreasing trend for weaker blocking events while medium and high clusters for the entire hemisphere. The BD exhibited an increasing trend for the entire SH. The BO also showed an increasing trend except one point in less active years. Blocking characteristics show different trends for different preferred blocking locations. Increasing trends of SH BO for the overall sample and Pacific Region are statistically significant at 95% level. Increasing trends for SH BD overall and in the Atlantic and Pacific regions are statistically significant at 90%, 95%, and 95% levels, respectively.
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References
Aalijahan M, Salahi B, Rahimi YG, Asl MF (2018) A new approach in temporal-spatial reconstruction and synoptic analysis of cold waves in the northwest of Iran. Theor Appl Climatol. https://doi.org/10.1007/s00704-018-2601-7
Barnes EA, Dunn-Sigouin E, Masato G, Woollings TJ (2014) Exploring recent trends in Northern Hemisphere blocking. Geophys Res Lett 41:638–644. https://doi.org/10.1002/2013GL058745
Barriopedro D, García-Herrera R, Lupo AR, Hernández E (2006) A climatology of northern hemisphere blocking. J Clim 19(6):1042–1063. https://doi.org/10.1175/JCLI3678.1
Brunner L, Schaller N, Anstey J, Sillmann J, Steiner AK (2018) Dependence of present and future European temperature extremes on the location of atmospheric blocking. Geophys Res Lett 45:6311–6320. https://doi.org/10.1029/2018GL077837
Canyılmaz MG, Efe B (2020) Atmospheric blocking and heat-cold waves relationship in Edirne, Tekirdağ, Kırklareli and Istanbul provinces. J Anatol Environ Animal Sci 5(4):611–617. https://doi.org/10.35229/jaes.798781
Cui L, Wang L, Lai Z, Tian Q, Liu W, Li J (2017) Innovative trend analysis of annual and easonal air temperature and rainfall in the Yangtze River Basin, China during 1960–2015. J Atmos Sol Terr Phys 164:48–59
Efe B, Lupo AR, Deniz A (2019) The relationship between atmospheric blocking and precipitation changes in Turkey between 1977 and 2016. Theor Appl Climatol 138:1573–1590. https://doi.org/10.1007/s00704-019-02902-z
Efe B, Sezen I, Lupo AR, Deniz A (2020) The relationship between atmospheric blocking and temperature anomalies in Turkey between 1977 and 2016. Int J Climatol 40(2):1022–1037. https://doi.org/10.1002/joc.6253
Efe B, Lupo AR, Deniz A (2020) Extreme temperatures linked to the atmospheric blocking events in Turkey between 1977 and 2016. Nat Hazards 104(2):1879–1898. https://doi.org/10.1007/s11069-020-04252-w
Kendall MG (1975) Rank correlation methods. Oxford University Press, New York, NY
Khodayar S, Kalthoff N, Kottmeier C (2018) Atmospheric conditions associated with heavy precipitation events in comparison to seasonal means in the western Mediterranean region. Clim Dyn 51:951–967. https://doi.org/10.1007/s00382-016-3058-y
Key JR, Chan ACK (1999) Multidecadal global and regional trends in 1000 mb and 500 mb cyclone frequencies. Geophys Res Lett 26:2053–2056
Lejenas H, Okland H (1983) Characteristics of Northern Hemisphere blocking as determined from a long time series of observational data. Tellus A 35(5):350–362. https://doi.org/10.3402/tellusa.v35i5.11446
Lhotka O, Kyselý J, Plavcová E (2018) Evaluation of major heat waves’ mechanisms in EURO-CORDEX RCMs over Central Europe. Clim Dyn 50:4249–4262. https://doi.org/10.1007/s00382-017-3873-9
Lupo AR (2021) Atmospheric blocking events: a review Annals of the New York Academy of Sciences, Special Issue: the Year in Climate. Sci Res 2021:5–24
Lupo AR, Smith PJ (1995) Climatological features of blocking anticyclones in the Northern Hemisphere. Tellus A 47(4):439–456. https://doi.org/10.1034/j.1600-0870.1995.t01-3-00004.x
Lupo AR, Jensen AD, Mokhov II, Timazhev AV, Eichler T, Efe B (2019) Changes in global blocking character during the most recent decades. Atmos 10(19):00092
Matsueda M (2011) Predictability of Euro-Russian blocking in summer of 2010. Geophys Res Lett 38:L06801. https://doi.org/10.1029/2010GL046557
Mokhov II, Akperov MG, Prokofyeva MA, Timazhev AV, Lupo AR, Le Treut H (2012) Blockings in the Northern Hemisphere and Euro-Atlantic region: estimates of changes from reanalyses data and model simulations. Doklady 449:430–433
Moravej M, Karimirad I, and Ebrahimi K (2018) Spatio-temporal analysis of the Karun River water quality. Inter J Water 12(3). https://doi.org/10.1504/IJW.2018.093669
Neu U et al (2013) IMILAST: a community effort to intercompare extratropical cyclone detection and tracking algorithms. Bull Amer Meteor Soc 94:529–547. https://doi.org/10.1175/bams-d-11-00154.1
Oliveira FNM, Carvalhoc LMV, Ambrizzi T (2014) A new climatology for southern hemisphere blockings in the winter and the combined effect of ENSO and SAM phases. Int J Climatol 34:1676–1692
O’Reilly CH, Minobe S, Kuwano-Yoshida A (2016) The influence of the Gulf Stream on wintertime European blocking. A Clim Dyn 47:1545. https://doi.org/10.1007/s00382-015-2919-0
Phuong DND, Hai LM, Dung HM et al (2022) Temporal trend possibilities of annual rainfall and standardized precipitation index in the Central Highlands, Vietnam. Earth Syst Environ 6:69–85. https://doi.org/10.1007/s41748-021-00211-y
Pinheiro MC, Ullrich PA, Grotjahn R (2019) Atmospheric blocking and intercomparison of objective detection methods: flow field characteristics. Clim Dyn 53:4189–4216
R Core Team (2018) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Retrieved https://www.R-project.org/. Accessed 1 Feb 2021
Rabinowitz JL, Lupo AR, Guinan PE (2018) Evaluating linkages between atmospheric blocking patterns and heavy rainfall events across the north-central Mississippi River valley for different ENSO phases. Adv Meteorol 2018:1217830. https://doi.org/10.1155/2018/1217830
Renwick JA, Revell MJ (1999) Blocking over the South Pacific and Rossby wave propagation. Mon Weather Rev 127(10):2233–2247. https://doi.org/10.1175/1520-0493(1999)127<2233:BOTSPA>2.0.CO;2
Şen Z (2012) Innovative trend analysis methodology. J Hydrol Eng 17(9):1042–1046. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000556
Şen K, Aksu H (2021) Trend analysis of observed standard duration maximum precipitation for Istanbul. Teknik Dergi 32(1):10495–10514. https://doi.org/10.18400/tekderg.647558(inTurkish)
Sitnov SA, Mokhov II, Lupo AR (2014) Evolution of the water vapor plume over Eastern Europe during summer 2010 atmospheric blocking. Adv Meteorol 2014:1–11. https://doi.org/10.1155/2014/253953
Tibaldi S, Molteni F (1990) On the operational predictability of blocking. Tellus A 42(3):343–365
Tilinina N, Gulev SK, Rudeva I, Koltermann P (2013) Comparing cyclone life cycle characteristics and their interannual variability in different reanalyses. J Clim 26:6419–6438. https://doi.org/10.1175/jcli-d-12-00777.1
Tosunoglu F, Kisi O (2017) Trend analysis of maximum hydrologic drought variables using Mann-Kendall and Şen’s innovative trend method. River Res Appl 33(4):597–610
University of Missouri Blocking Archive. Available online: http://weather.missouri.edu/gcc. Accessed 30 Dec 2020
Wang XL, Feng Y, Chan R, Isaac V (2016) Inter-comparison of extratropical cyclone activity in nine reanalysis datasets. Atmos Res 181:133–153. https://doi.org/10.1016/j.atmosres.2016.06.010
Wickham H (2016) ggplot2: elegant graphics for data analysis. Springer-Verlag, New York. Retrieved http://ggplot2.org. Accessed 1 Feb 2021
Wickham H, Francios R, Henry L, Müller K (2018) Dplyr: a grammar of data manipulation. Retrieved https://cran.r-project.org/package=dplyr. Accessed 1 Feb 2021
Wiedenmann JM, Lupo AR, Mokhov II, Tikhonova EA (2002) The climatology of blocking anticyclones for the Northern and Southern Hemisphere: block intensity as a diagnostic. J Clim 15:3459–3474
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Conceptualization: BE, ARL; literature search: BE, ARL; data analysis: BE, ARL; writing — original draft preparation: BE, ARL.
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Efe, B., Lupo, A.R. Global trends in the occurrence and characteristics of blocking anticyclones using Şen innovative trend analysis. Theor Appl Climatol 150, 763–776 (2022). https://doi.org/10.1007/s00704-022-04195-1
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DOI: https://doi.org/10.1007/s00704-022-04195-1