Abstract
This study characterises the spatial and temporal behaviours of maximum precipitation over the Black Sea Region in northern Turkey. Maximum precipitation data of 14 standard durations changing from 5 min to 24 h were used from 21 meteorological stations in the region with record lengths ranging from 25 to 71 years. In line with the objective of the study, tests for the detection of outliers, homogeneity, and trend were applied in order to reveal the structural characteristics of the data set. Tests detected no outlier, and the homogeneity analysis found only three stations fully homogeneous, all others being inhomogeneous. Change points identified in the data set by the homogeneity tests were linked to the local characteristics of meteorological stations. Trend analysis revealed that slightly more than half of the meteorological stations are exposed to a positive trend in the maximum precipitation of one standard duration at a minimum. The main conclusion is that maximum precipitation is subject to change over the Black Sea Region in Turkey.
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The data that support the findings of this study are available from State Meteorology Office of Turkey upon official request.
References
Abbasnia M, Toros H (2020) Trend analysis of weather extremes across the coastal and non-coastal areas (case study: Turkey). J Earth Syst Sci 129(1):1–13
Aksoy H (2020) Surface water. In: Harmancioglu N, Altinbilek D (eds) Water resources of Turkey. World water resources, vol 2. Springer, Cham https://doi.org/10.1007/978-3-030-11729-0_5.
Aksu H (2021) Nonstationary analysis of the extreme temperatures in Turkey. Dynam Atmos Oceans 95:101238. https://doi.org/10.1016/j.dynatmoce.2021.101238
Aksu H, Cetin M, Aksoy H, Alsenjar O, Yildirim I, Yaldız SG (2021) Climate change-induced variabilities in climate extremes on the Black Sea region of Turkey. In: 55th Canadian Meteorological and Oceanographic Society (CMOS) Congress, Canada
Alexandersson H (1986) A homogeneity test applied to precipitation data. J Climatol 6:661–675
Anderson TW, Darling DA (1952) Asymptotic theory of certain" goodness of fit" criteria based on stochastic processes. Ann Math Stat pp 193–212
Ay M (2020) Trend and homogeneity analysis in temperature and rainfall series in western Black Sea region. Turk Theor Appl Climatol 139(3):837–848
Aziz R, Yucel I, Yozgatligil C (2020) Nonstationarity impacts on frequency analysis of yearly and seasonal extreme temperature in Turkey. Atmos Res. https://doi.org/10.1016/j.atmosres.2020.104875
Bingham C, Nelson LS (1981) An approximation for the distribution of the von Neumann ratio. Technometrics 23(3):285–288
Birsan M, Molnar P, Burlando P, Praundler M (2005) Streamflow trends in Switzerland. J Hydrol 314(1–4):312–329
Bozkurt D, Sen OL, Turuncoglu UU, Karaca M, Dalfes HN (2008) Regional climate change projections for Eastern Mediterranean: preliminary results. In: Poster presentation at the 1st ESF/MedClivar Summer School, Rhodes, pp 17–27
Buishand TA (1982) Some methods for testing the homogeneity of rainfall records. J Hydrol 58:11–27
Çelik S, Bacanlı H, Görgeç H, Yayvan M, Deniz A (2008) 16 Kasım 2007 Tekirdağ, 18 Kasım 2007 Marmaris, Bodrum ve Dalaman’da Meydana Gelen Şiddetli Yağışların Sinoptik Analizi [Synoptic Analysis of Heavy Rainfalls in Marmaris, Bodrum and Dalaman, 18 November 2007]. Atmosfer Bilimleri Sempozyumu Bildiri Kitabı, pp 25–28
Coles S (2001) An introduction to statistical modeling of extreme values. Springer-Verlag, London
Croitoru AE, Chiotoroiu BC, Todorova VI, Torică V (2013) Changes in precipitation extremes on the Black Sea Western Coast. Glob Planet Change 102:10–19
Da Silva RM, Santos CAG, Moreira M, Corte-Real J, Silva VC, Medeiros IC (2015) Rainfall and river flow trends using Mann-Kendall and Sen’s slope estimator statistical tests in the Cobres River basin. Nat Hazards 77:1205–1221. https://doi.org/10.1007/s11069-015-1644-7
Dahamsheh A, Aksoy H (2007) Structural characteristics of annual precipitation data in Jordan. Theoret Appl Climatol 88(3–4):201–212
De Lima P, Jentsch B, Whelton R (2005) Migrant workers in the highlands and islands. Inverness: highlands and islands enterprise
Drobinski P, Silva ND, Panthou G et al (2018) Scaling precipitation extremes with temperature in the Mediterranean: past climate assessment and projection in anthropogenic scenarios. Clim Dyn 51:1237–1257. https://doi.org/10.1007/s00382-016-3083-x
Durbin J, Watson G (1951) Testing for serial correlation in least squares regression. II. Biometrika 38(1–2):159
Eris E, Agiralioglu N (2012) Homogeneity and trend analysis of hydrometeorological data of the eastern Black Sea Region, Turkey. J Water Resour Prot 4:99–105
Fagnant C, Gori A, Sebastian A, Bedient PB, Ensor KB (2020) Characterizing spatiotemporal trends in extreme precipitation in Southeast Texas. Nat Hazards 104(2):1597–1621
Gama J (2016) Climtrends: statistical methods for climate sciences. R package version 1.0.6. https://cran.r-project.org/package=climtrends [access: 27.05.2020]
Gao X, Pal JS, Giorgi F (2006) Projected changes in mean and extreme precipitation over the Mediterranean region from a high resolution double nested RCM simulation. Geophys Res Lett 33(3)
Gilbert RO (1987) Statistical methods for environmental pollution monitoring. Van Nostrand Reinhold, New York
Giorgi F, Lionello P (2008) Climate change projections for the Mediterranean region. Glob Planet Change 63(2–3):90–104
Haktanir T, Citakoglu H (2014) Trend, independence, stationarity, and homogeneity tests on maximum rainfall series of standard durations recorded in Turkey. J Hydrol Eng 19(9):05014009
Hamed KH (2008) Trend detection in hydrologic data: the Mann-Kendall trend test under the scaling hypothesis. J Hydrol 349(3–4):350–363
Helsel DR, Hirsch RM (1992) Statistical methods in water resources, vol 49. Elsevier, Amsterdam
Hothorn T, Zeileis A, Farebrother RW, Cummins C, Millo G, Mitchell D, Zeileis MA (2015) Package ‘lmtest’. Testing linear regression models. https://cran.r-project.org/web/packages/lmtest/lmtest.pdf
Intergovernmental Panel on Climate Change (IPCC) (2007) “Climate change 2007: the physical science basis.” Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, p 996
Intergovernmental Panel on Climate Change (IPCC) (2013) Edited by Thomas F. Stocker Dahe Qin, Gian-Kasper Plattner Melinda M.B. Tignor Simon K. Allen Judith Boschung, Alexander Nauels Yu Xia Vincent Bex Pauline M. Midgley and Working Group I Technical Support Unit, Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC), Summary for Policymakers
Kendall MG (1976) Rank correlation methods, 4th edn. Griffin
Korkmaz B, Şen K, Aksu H (2019) Orta Karadeniz Bölgesi için Dönemsel Yağış-Şiddet ve Süre Analizi, 10. Ulusal Hidroloji Kongresi, Türkiye, pp 473–482 (in Turkish)
Koutsoyiannis D, Baloutsos G (2000) Analysis of a long record of annual maximum rainfall in Athens, Greece, and design rainfall inferences. Nat Hazards 22(1):29–48
Libiseller C, Grimvall A (2002) Performance of partial Mann-Kendall tests for trend detection in the presence of covariates. Environ off J Int Environ Soc 13(1):71–84
Maity R (2018) Statistical methods in hydrology and hydroclimatology. Springer, Berlin
Mann HB (1945) Nonparametric tests against trend. Econom J Econom Soc 245–259
Mondal A, Daniel D (2019) Return levels under nonstationarity: the need to update infrastructure design strategies. J Hydrol Eng 24(1):04018060. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001738
Onol B, Semazzi FHM (2009) Regionalization of climate change simulations over the Eastern Mediterranean. J Clim 22(8):1944–1961
Oruc S (2021) Non-stationary investigation of extreme rainfall. Civ Eng J. https://doi.org/10.28991/cej-2021-03091748
Pettitt AN (1979) A non-parametric approach to the changepoint problem. Appl Stat 28:126–135
Pohlert T, Pohlert MT, Kendall S (2016) Package ‘trend’. Title non-parametric trend tests and change-point detection
Sen PK (1968) Estimates of the regression coefficient based on Kendall’s Tau. J Am Stat Assoc 63:1379–1389
Shaltout M, Omstedt A (2014) Recent sea surface temperature trends and future scenarios for the Mediterranean Sea. Oceanologia 56(3):411–443
Sherwood JM, Ebner AD, Koltun GF, Astifan BM (2007) Flood of June 22–24, 2006, in North-Central Ohio, With Emphasis on the Cuyahoga River Near Independence (No. 2007–5161). Geological Survey (US)
Sun G, Chen Y, Li W, Pan C, Li J, Yang Y (2013) Spatial distribution of the extreme hydrological events in Xinjiang, north-west of China. Nat Hazards 67(2):483–495
Tonkaz T, Bostan SZ (2016) Climatic trends in the eastern Black Sea Region, Turkey. Ordu Üniversitesi Bilim ve Teknoloji Dergisi 6(1):1–7
Tosunoğlu F (2017) Trend analysis of daily maximum rainfall series in Çoruh Basin, Turkey. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi 7(1):195–205
Trenberth KE, Paolino DA Jr (1980) The Northern Hemisphere sea-level pressure data set: Trends, errors and discontinuities. Mon Weather Rev 108(7):855–872
URL-1 https://www.iha.com.tr/haber-dogu-karadenizin-90-yillik-afet-bilancosu-644-olu-785654/ Last access date: 20.09.2020
URL-2 https://tr.euronews.com/2021/08/16/karadeniz-de-sel-hayat-n-kaybedenlerin-say-s-74-e-yukseldi Last access date: 17.10.2021
URL-3 https://en.wikipedia.org/wiki/Black_Sea_Region Last access date: 01.11.2021
Uskay S, Aksu S (2002) Ülkemizde taşkınlar, nedenleri, zararları ve alınması gereken önlemler [Floods in our country, causes, damages and measures to be taken]. Türkiye Mühendislik Haberleri 47(4–6):133–136
Usul N, Turan B (2006) Flood forecasting and analysis within the Ulus Basin, Turkey, using geographic information systems. Nat Hazards 39(2):213–229
Vaheddoost B, Aksoy H (2017) Structural characteristics of annual precipitation in Lake Urmia basin. Theoret Appl Climatol 128(3–4):919–932
Von Neumann J (1941) Distribution of the ratio of the mean square successive difference to the variance. Ann Math Stat 13:367–395
Wijngaard J, Klein AT, Konnen G (2003) Homogeneity of 20th century European daily temperature and precipitation series. Int J Climatol 23:679–692
Wuertz D, Setz T, Chalabi Y, Maechler M, Setz MT (2017) Package ‘fBasics.’ Rmetrics-markets and basic statistics. R foundation for statistical computing
Yozgatligil C, Turkes M (2018) Extreme value analysis and forecasting of maximum precipitation amounts in the western Black Sea subregion of Turkey. Int J Climatol 38(15):5447–5458
Yue S, Pilon P, Cavadias G (2002a) Power of the Mann– Kendall and Spearman’s Rho tests for detecting monotonic trends in hydrological series. J Hydrol 259(1–4):254–271
Yue S, Pilon PJ, Phinney B, Cavadias G (2002b) The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrological Process 16:1807–1829. https://doi.org/10.1002/hyp.1095
Acknowledgements
This study is based on the findings of the project “Impact of Climate Change and Variability on Extreme Precipitation of Black Sea Region”, Project number: 119Y361 funded by the Scientific and Technological Research Council of Turkey (TUBITAK). The study is a contribution of the authors to the Prediction under Change Working Group under the Panta Rhei decade of International Association of Hydrological Sciences (IAHS).
Funding
This study is based on the findings of the project “Impact of Climate Change and Variability on Extreme Precipitation of Black Sea Region”, Project number: 119Y361 funded by the Scientific and Technological Research Council of Turkey (TUBITAK).
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All authors provided critical feedback and helped shape the research, analysis and manuscript. The authors confirm contribution to the paper as follows: HA, MC, HA contributed to study conception and design; SGY, IY, GK contributed to analysis and interpretation of results; HA and IY contributed to draft manuscript preparation. All authors reviewed the results and approved the final version of the manuscript.
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Aksu, H., Cetin, M., Aksoy, H. et al. Spatial and temporal characterization of standard duration-maximum precipitation over Black Sea Region in Turkey. Nat Hazards 111, 2379–2405 (2022). https://doi.org/10.1007/s11069-021-05141-6
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DOI: https://doi.org/10.1007/s11069-021-05141-6