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Probabilistic model of maximum precipitation depths for Kraków (southern Poland, 1886-2002)

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Abstract

This study was designed to empirically determine what relationships existed between three characteristics of precipitation: maximum depth, duration, and probability of exceedance. Annual maximum series for intervals of between one and 120 h were identified using the 1886-2002 pluviographic record from Kraków. The Gumbel distribution was selected from a group of four of the most popular theoretical maximum value distributions and identified as the optimum solution. Its parameters were determined. Confidence intervals for quantiles were obtained using the bootstrap method. Formulae were derived for the relationships between the Gumbel distribution parameters, i.e., the α location and β scale, depending on precipitation duration. These take the form of a polynomial of the second degree. The model developed was subjected to a two-step validation with a positive result.

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References

  • Akaike H (1974) A New look at the statistical model identification. IEEE Trans Autom Contr AC-19:716–723

    Article  Google Scholar 

  • Bogdanowicz E, Stachý J (1998) Heavy rainfalls in Poland. A design approach (in Polish with English summary). Materiały Badawcze IMGW, ser. Hydrologia i Oceanologia, 23, Wyd. IMGW, Warszawa

  • Cebulak E (1992) Maximum daily precipitation in the upper Vistula Basin (in Polish with English summary). Zeszyty Naukowe Uniwersytetu Jagiellońskiego, Prace Geograficzne 90: 79–96

    Google Scholar 

  • Chow VT, Maidment DR, Mays LW (1988) Applied hydrology. Mc Graw-Hill, New York

  • Coles S (2001) An introduction to statistical modeling of extreme values. Springer, Berlin Heidelberg New York

  • Cunnane C (1989) Statistical distribution for flood frequencies analysis. Oper Hydrol Reports, No. 133

  • Efron B, Tibshirani RJ (1993) An introduction to the bootstrap. Chapman & Hall, New York

    Google Scholar 

  • Guide to Hydrological Practice (1994) 1, 168, WMO, Geneva, Switzerland

  • Klein Tank AMG, Wijngaard JB, Können GP, Böhm R, Demarée G, Gocheva A, Mileta M, Pashiardis S, Hejkrlik L, Kern-Hansen C, Heino R, Bessemoulin P, Müller-Westmeier G, Tznakou M, Szalai S, Pálsdóttir T, Fitzgerald D, Rubin S, Capaldo M, Maugeri M, Lietass A, Bukantis A, Aberfeld R, van Engelen AFV, Forland E, Mietus M, Coelho F, Mares C, Razuvaev V, Nieplova E, Cegnar T, Antonio López J, Dahlström B, Moberg A, Kirchhofer W, Ceylan A, Pachaliuk O, Alexander LV, Petrovic P (2001) Daily dataset of 20th-century surface air temperature and precipitation series for European Climate Assessment. Int J Climatol 22:1441–1453

    Article  Google Scholar 

  • Koutsoyiannis D (2004a) Statistics of extremes and estimation of extreme rainfall I: theoretical investigation. Hydrol Sci J 49:575–590

    Article  Google Scholar 

  • Koutsoyiannis D (2004b) Statistics of extremes and estimation of extreme rainfall II: empirical investigation of long rainfall records. Hydrol Sci J 49:591–610

    Article  Google Scholar 

  • Koutsoyiannis D, Baloutsos G (2000) Analysis of a long record of annual maximum rainfall in Athens, Greece, and design rainfall inferences. Nat Hazards 29:29–48

    Article  Google Scholar 

  • Kupczyk E, Suligowski R (1997) Statistical description of the rainfall structure as the input to hydrological models. In: Soczyńska U (ed) Prediction of the design storms and floods (in Polish with English summary). Wyd. Uniwersytetu Warszawskiego, 21–86, Warszawa

  • Lowery MD, Nash JE (1970) A comparison of methods of fitting the double exponential distribution. J Hydrol 10:259–275

    Article  Google Scholar 

  • Mc Quen RH (1989) Hydrologic analysis and design. Prentice Hall, London

    Google Scholar 

  • Niedźwiedź T (1989) Heavy rainfalls in Cracow. Zeszyty Naukowe UJ, Prace Geograficzne, 75:11–22

  • Niedźwiedź T (1999) Rainfall characteristics in southern Poland during the severe flooding event of July 1997. Stud Geomorphol Carpatho-Balc 33:5–25

    Google Scholar 

  • Niedźwiedź T, Twardosz R (2004) Long-term variability of precipitation at selected stations in Central Europe. Glob Change IGBP 11:73–100

    Google Scholar 

  • Overeem A, Buishand A, Holleman I (2008) Rainfall depth-duration-frequency curves and their uncertainties. J Hydrol 348:124–134

    Article  Google Scholar 

  • Peterson T, Folland C, Gruza G, Hogg W, Mokssit A, Plummer N (2001) Report on the activities of the working group on climate change and related rapporteurs, world climate programme, data and monitoring. 47, WMO, Geneva, Switzerland

  • Sevruk B, Geiger H (1981) Selection of distribution types for extremes of precipitation. Oper Hydrol, Report 15, WMO, Geneva, Switzerland

  • Stachý J (1987) Hydrological atlas of Poland. Wydawnictwo Geologiczne, Warszawa

    Google Scholar 

  • STATISTICA (data analysis software system) (2003) version 6. StatSoft, Inc.www.statsoft.com

  • Stedinger JR, Vogel RM, Foufoula-Georgiou E (1993) Frequency analysis of extreme events. In: Maidment DR (ed) Handbook of hydrology. McGraw-Hill, New York, pp 1810–1823

    Google Scholar 

  • Suligowski R (2004) Temporal and spatial structure of the rainfall in Poland. Attempt at the regionalization (in Polish with English summary). Prace Instytutu Geografii Akademii Świętokrzyskiej, 12, Kielce

  • Twardosz R (2005) The synoptic and probabilistic aspects of diurnal precipitation variation in Cracow (1886-2002) (in Polish with English summary). Institute of Geography and Spatial Management of Jagiellonian University, Kraków

  • Twardosz R, Niedźwiedź T (2001) Influence of synoptic situations on the precipitation in Kraków (Poland). Int J Climatol 21:467–481

    Article  Google Scholar 

  • Von Storch H, Zwiers FW (1999) Statistical analysis in climate research. Cambridge University Press, Cambridge

    Google Scholar 

  • Wilks DS (2006) Statistical methods in the atmospheric sciences. Academic Press, San Diego

    Google Scholar 

Download references

Acknowledgements

I am deeply grateful to anonymous reviewers for any comments that contribute to the improvement of the paper. The English translation of the paper owes much to the translation skills of Mr. Paweł Pilch and to the proofreading skills of Dr. Martin Cahn.

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Correspondence to R. Twardosz.

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Twardosz, R. Probabilistic model of maximum precipitation depths for Kraków (southern Poland, 1886-2002). Theor Appl Climatol 98, 37–45 (2009). https://doi.org/10.1007/s00704-008-0087-4

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  • DOI: https://doi.org/10.1007/s00704-008-0087-4

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