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Empirical hydrologic predictions for southwestern Poland and their relation to ENSO teleconnections

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Recent investigations confirm meaningful but weak teleconnections between the El Niño/Southern Oscillation (ENSO) and hydrology in some European regions. In particular, this finding holds for Polish riverflows in winter and early spring as inferred from integrating numerous geodetic, geophysical and hydrologic time series. The purpose of this study is to examine whether such remote teleconnections may have an influence on hydrologic forecasting. The daily discharge time series from southwestern (SW) Poland spanning the time interval from 1971 to 2006 are examined. A few winter and spring peak flows are considered and the issue of their predictability using empirical forecasting is addressed. Following satisfactory prediction performance reported elsewhere, the multivariate autoregressive method is used and its modification based on the finite impulse response filtering is proposed. The initial phases of peak flows are rather acceptably forecasted but the accuracy of predictions in the vicinity of local maxima of the hydrographs is poorer. It has been hypothesized that ENSO signal slightly influences the predictability of winter and early spring floods in SW Poland. The predictions of flood wave maxima are the most accurate for floods preceded by normal states, less accurate for peak flows after La Niña episodes and highly inaccurate for peak flows preceded by El Niño events. Such a finding can be interpreted in terms of intermittency. Before peak flows preceded by El Niño there are temporarily persistent low flows followed by a consecutive melting leading to a considerable intermittency and hence to difficulties in forecasting. Before peak flows preceded by La Niña episodes there exist ENSO-related positive temperature and precipitation anomalies in SW Poland causing lower, but still considerable, intermittency and thus better, but not entirely correct, predictability of hydrologic time series.
Słowa kluczowe
Rocznik
Strony
11--26
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
  • Space Research Centre, Polish Academy of Sciences, Poland
  • Institute of Geography and Regional Development, University of Wrocław, Poland
Bibliografia
  • Beven K.J. (2001) Rainfall-Runoff Modelling, Wiley, Chichester.
  • Chiew F.H.S., McMahon T.A. (2002) Global ENSO-streamflow teleconnection, streamflow forecasting and interannual variability, Hydrological Sciences - Journal-des Sciences Hydrologiques, Vol. 47, 505-522.
  • Dettinger M.D., Diaz H.F. (2000) Global characteristics of stream flow seasonality and variability, Journal of Hydrometerorology, Vol. 1, 289-310.
  • Dettinger M.D., Cayan D.R., McCabe G.J., Marengo J.A. (2000) Multiscale streamflow variability associated with El Niño/Southern Oscillation, El Niño and the Southern Oscillation: multiscale variability and global and regional impacts, eds. Diaz H.F., Markgraf V., Cambridge University Press, Cambridge, 113-148.
  • Dubicki A., Słota H., Zieliński J., eds. (1999) Monografia powodzi lipiec 1997 - Dorzecze Odry, IMGW, Warszawa.
  • Elek P., Márkus L. (2004) A long range dependent model with nonlinear innovations for simulating daily river flows, Natural Hazards and Earth System Sciences, Vol. 4, 277-283.
  • Fraedrich K. (1990) European Grosswetter during the warm and cold extremes of the El Niño/Southern Oscillation, International Journal of Climatology, Vol. 10, 21-31.
  • Fraedrich K., Müller K. (1992) Climate anomalies in Europe associated with ENSO extremes, International Journal of Climatology, Vol. 12, 25-31.
  • Fraedrich K. (1994) An ENSO impact on Europe?- A review, Tellus, Vol. 46A, 541-552.
  • Karabörk M.C., Kahya E. (2009) The links between the categorised Southern Oscillation indicators and climate and hydrologic variables in Turkey, Hydrological Processes, Vol. 23, 1927-1936.
  • Kiladis G.N., Diaz H.F. (1989) Global climatic anomalies associated with extremes in the Southern Oscillation, Journal of Climate, Vol. 2, 1069-1090.
  • Laio F., Porporato A., Revelli R., Ridolfi L. (2003) A comparison of nonlinear flood forecasting methods, Water Resources Research, Vol. 39, 1129, DOI:10.1029/2002WR001551.
  • Ledolter J. (1978) The analysis of multivariate time series applied to problems in hydrology, Journal of Hydrology, Vol. 36, 327-352.
  • Neumaier A., Schneider T. (2001) Estimation of parameters and eigenmodes of multivariate autoregressive models, ACM Transactions on Mathematical Software, Vol. 27, 27-57.
  • Niedzielski T., Czystołowski M. (2005) Pointwise forecast of water levels based upon the multivariate time series analysis: case study from the Odra River (in SW Poland), IAHR Congress Proceedings of the International Symposium on Stochastic Hydraulics 2005, eds. Vrijling J.K., Ruijgh E., Stalenberg B., Van Gelder P.H.A.J.M., Verlaan M., Zijderveld A., Waarts P., Madrid 2005, 115-116 + full peer-reviewed text on CD.
  • Niedzielski T. (2007) A data-based regional scale autoregressive rainfall-runoff model: A study from the Odra River, Stochastic Environmental Research and Risk Assessment, Vol. 21, 649-664.
  • Niedzielski T. (2010a) Is there any teleconnection between surface hydrology in Poland and El Niño/Southern Oscillation?, Pure and Applied Geophysics, DOI: 10.1007/s00024-010-0171-4.
  • Niedzielski T. (2010b) Prognoza wezbrań na rzekach południowo-zachodniej Polski w świetle modelowania empirycznego, Wyjątkowe zdarzenia przyrodnicze na Dolnym Śląsku i ich skutki, ed. Migoń P., Rozprawy Naukowe Instytutu Geografii i Rozwoju Regionalnego Uniwersytetu Wrocławskiego 14, Uniwersytet Wrocławski, Wrocław, w druku.
  • Özcelik C., Baykan O. (2009) An imporoved time series model for monthly stream flows, Stochastic Environmental Research and Risk Assessment, Vol. 23, 587-601.
  • Pongrácz R., Bogardi I., Duckstein L. (2003) Climatic forcing of droughts: a Central European example, Hydrological Sciences-Journal-des Sciences Hydrologiques, Vol. 48, 39-50.
  • Porporato A., Ridolfi L. (2001) Multivariate nonlinear prediction of river flows, Journal of Hydrology, Vol. 248, 109-122.
  • Price C., Stone L., Huppert A., Rajagopalan B., Alpert P., (1998) A possible link between El Niño and precipitation in Israel, Geophysical Research Letters, Vol. 25, 3963-3966.
  • Rimbu N., Dima M., Lohmann G., Stefan S. (2004) Impacts of the North Atlantic Oscillation and the El Niño-Southern Oscillation on Danube river flow variability, Geophysical Research Letters, Vol. 31, L23203, DOI:10.1029/2004GL020559.
  • Ropelewski C.F., Halpert M.S. (1987) Global and regional scale precipitation patterns associated with the El Niño/Southern Oscillation, Monthly Weather Review, Vol. 115, 1606-1627.
  • Schwarz G. (1978) Estimating the dimension of a model, Annals of Statistics, Vol. 6, 461-464.
  • Sen A.K., Niedzielski T. (2010) Statistical characteristics of riverflow variability in the Odra River basin in Southwestern Poland, Polish Journal of Environmental Studies, Vol. 19, 387-397.
  • Strupczewski W.G., Singh V.P., Mitosek H.P. (2001) Non-stationary approach to at-site flood frequency modelling. III. Flood analysis of Polish rivers, Journal of Hydrology, Vol. 248, 152-167.
  • Toth E., Brath A., Montanari A. (2000) Comparison of short-term rainfall prediction models for real-time flood forecasting, Journal of Hydrology, Vol. 239, 132-147.
  • Van Gelder P.H.A.J.M., Van Noortwijk J.M., Duits M.T. (1999) Selection of probability distribution with a case study on extreme Oder River discharges, Safety and Reliability, Vol. 2, 1475-1480.
  • Vogel R.M., Shallcross A.L. (1996) The moving blocks bootstrap versus parametric time series models, Water Resources Research, Vol. 32, 1875-1882.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d363756b-f5a1-483e-bfa6-e5c101fa080e
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