Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Spatio-temporal analysis of annual rainfall in Crete, Greece

Warianty tytułu
Języki publikacji
Analysis of rainfall data from the island of Crete, Greece was performed to identify key hydrological years and return periods as well as to analyze the inter-annual behavior of the rainfall variability during the period 1981–2014. The rainfall spatial distribution was also examined in detail to identify vulnerable areas of the island. Data analysis using statistical tools and spectral analysis were applied to investigate and interpret the temporal course of the available rainfall data set. In addition, spatial analysis techniques were applied and compared to determine the rainfall spatial distribution on the island of Crete. The analysis presented that in contrast to Regional Climate Model estimations, rainfall rates have not decreased, while return periods vary depending on seasonality and geographic location. A small but statistical significant increasing trend was detected in the inter-annual rainfall variations as well as a significant rainfall cycle almost every 8 years. In addition, statistically significant correlation of the island’s rainfall variability with the North Atlantic Oscillation is identified for the examined period. On the other hand, regression kriging method combining surface elevation as secondary information improved the estimation of the annual rainfall spatial variability on the island of Crete by 70% compared to ordinary kriging. The rainfall spatial and temporal trends on the island of Crete have variable characteristics that depend on the geographical area and on the hydrological period.
Opis fizyczny
Bibliogr. 48 poz.
  • School of Environmental EngineeringTechnical University of Crete Chania Greece,
  • IHE Institute for Water Education Delft The Netherlands
  • School of Environmental EngineeringTechnical University of Crete Chania Greece
  • School of Environmental EngineeringTechnical University of Crete Chania Greece
  • 1. Bierkens MFP, Knotters M, Hoogland T (2001) Space-time modeling of water table depth using a regionalized time series model and the Kalman filter. Water Resour Res 37:1277–1290
  • 2. Brandimarte L, Di Baldassarre G, Bruni G, D’Odorico P, Montanari A (2011) Relation between the North-Atlantic Oscillation and hydroclimatic conditions in Mediterranean areas. Water Resour Manag 25:1269–1279.
  • 3. Corona R, Montaldo N, Albertson JD (2018) On the role of NAO-driven interannual variability in rainfall seasonality on water resources and hydrologic design in a typical Mediterranean basin. J Hydrometeorol 19:485–498
  • 4. Cressie N (1993) Statistics for spatial data (revised ed.). Wiley, New York
  • 5. Deidda R et al (2013) Regional climate models’ performance in representing precipitation and temperature over selected Mediterranean areas. Hydrol Earth Syst Sci 17:5041–5059.
  • 6. Delworth TL, Zeng F, Vecchi GA, Yang X, Zhang L, Zhang R (2016) The North Atlantic Oscillation as a driver of rapid climate change in the Northern Hemisphere. Nat Geosci 9:509–512.
  • 7. Deutsch CV, Journel AG (1992) GSLIB. Geostatistical software library and user’s guide. Oxford University Press, New York
  • 8. Drake JB (2014) Climate modeling for scientists and engineers. SIAM, Philadelphia
  • 9. Eshel G, Farrell BF (2000) Mechanisms of eastern Mediterranean rainfall variability. J Atmos Sci 57:3219–3232
  • 10. ESRI (2014) ESRI, ArcGIS release 10.2.2. Environmental Systems Research Institute, Redlands
  • 11. Fernández-González S, del Río S, Castro A, Penas A, Fernández-Raga M, Calvo AI, Fraile R (2012) Connection between NAO, weather types and precipitation in León, Spain (1948–2008). Int J Climatol 32:2181–2196.
  • 12. Ferrari E, Caloiero T, Coscarelli R (2013) Influence of the North Atlantic Oscillation on winter rainfall in Calabria (southern Italy). Theor Appl Climatol 114:479–494.
  • 13. Giorgi F, Lionello P (2008) Climate change projections for the Mediterranean region. Glob Planet Change 63:90–104
  • 14. Goovaerts P (1997) Geostatistics for natural resources evaluation. Oxford University Press, New York
  • 15. Goovaerts P (1999) Geostatistics in soil science: state-of-the-art and perspectives. Geoderma 89:1–45
  • 16. Grillakis MG, Tsanis IK, Koutroulis AG (2010) Application of the HBV hydrological model in a flash flood case in Slovenia. Nat Hazards Earth Syst Sci 10:2713–2725
  • 17. Hastik R, Cammerer H (2012) Regression kriging for ArcGIS 10. Institute of Geography, University of Innsbruck
  • 18. Hertig E, Jacobeit J (2014) Variability of weather regimes in the North Atlantic-European area: past and future. Atmos Sci Lett 15:314–320.
  • 19. Hurrell J, National Center for Atmospheric Research Staff (Eds) (2017) The Climate Data Guide: Hurrell North Atlantic Oscillation (NAO) Index (station-based), Retrieved from Accessed 12 May 2017
  • 20. Hurrell JW, Van Loon H (1997) Decadal variations in climate associated with the North Atlantic oscillation. Clim Change 36:301–326.
  • 21. Jacob D et al (2007) An inter-comparison of regional climate models for Europe: model performance in present-day climate. Clim Change 81:31–52.
  • 22. Jing L et al (2017) Effects of hydrological regime on development of Carex wet meadows in East Dongting Lake, a Ramsar Wetland for wintering waterbirds. Sci Rep 7:41761.
  • 23. Kalogeropoulos K, Chalkias C (2013) Modelling the impacts of climate change on surface runoff in small Mediterranean catchments: empirical evidence from Greece. Water Environ J 27:505–513
  • 24. Kisi O, Ay M (2014) Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey. J Hydrol 513:362–375.
  • 25. Kitanidis PK (1997) Introduction to geostatistics. Cambridge University Press, Cambridge
  • 26. Knotters M, Bierkens MFP (2000) Physical basis of time series models for water table depths. Water Resour Res 36:181–188.
  • 27. Koutroulis AG, Tsanis IK, Daliakopoulos IN, Jacob D (2013) Impact of climate change on water resources status: a case study for Crete Island, Greece. J Hydrol 479:146–158.
  • 28. Krichak SO, Alpert P (2005) Signatures of the NAO in the atmospheric circulation during wet winter months over the Mediterranean region. Theor Appl Climatol 82:27–39.
  • 29. Leuangthong O, McLennan JA, Deutsch CV (2004) Minimum acceptance criteria for geostatistics realizations. Nat Resour Res 13:131–141
  • 30. Lelieveld J, Hadjinicolaou P, Kostopoulou E, Chenoweth J, El Maayar M, Giannakopoulos C et al (2012) Climate change and impacts in the Eastern Mediterranean and the Middle East. Clim Change 114(3):667–687
  • 31. Longobardi A, Villani P (2010) Trend analysis of annual and seasonal rainfall time series in the Mediterranean area. Int J Climatol 30:1538–1546.
  • 32. Maas GS, Macklin MG (2002) The impact of recent climate change on flooding and sediment supply within a Mediterranean mountain catchment, southwestern Crete, Greece. Earth Surf Proc Land 27:1087–1105.
  • 33. Masih I, Uhlenbrook S, Maskey S, Ahmad MD (2010) Regionalization of a conceptual rainfall–runoff model based on similarity of the flow duration curve: a case study from the semi-arid Karkheh basin, Iran. J Hydrol 391:188–201.
  • 34. MATLAB (2010) MATLAB, 7.10 (R2010a) edn. The MathWorks Inc., Natick
  • 35. Musial JP, Verstraete MM, Gobron N (2011) Technical note: comparing the effectiveness of recent algorithms to fill and smooth incomplete and noisy time series. Atmos Chem Phys 11:7905–7923.
  • 36. Naoum S, Tsanis IK (2003) Temporal and spatial variation of annual rainfall on the island of Crete, Greece. Hydrol Process 17:1899–1922.
  • 37. Nastos PT, Politi N, Kapsomenakis J (2013) Spatial and temporal variability of the Aridity Index in Greece. Atmos Res 119:140–152
  • 38. Rivest M, Marcotte D, Pasquier P (2008) Hydraulic head field estimation using kriging with an external drift: a way to consider conceptual model information. J Hydrol 361:349–361
  • 39. Skøien JO, Blöschl G (2007) Spatiotemporal topological kriging of runoff time series. Water Resour Res 43:W09419.
  • 40. Special water secretariat of Greece (2015) Integrated management plans of the Greek watersheds. Ministry of Environment & Energy, Athens
  • 41. Sungmin O, Foelsche U, Kirchengast G, Fuchsberger J (2018) Validation and correction of rainfall data from the WegenerNet high density network in southeast Austria. J Hydrol 556:1110–1122.
  • 42. Vamos C, Craciun M (2012) Automatic trend estimation. Springer Publishing Company, Incorporated
  • 43. Varouchakis EA (2012) Geostatistical analysis and space-time models of aquifer levels: application to mires hydrological basin in the prefecture of Crete. PhD Thesis, Technical University of Crete
  • 44. Varouchakis EA, Hristopulos DT (2013) Improvement of groundwater level prediction in sparsely gauged basins using physical laws and local geographic features as auxiliary variables. Adv Water Resour 52:34–49
  • 45. Varouchakis EA, Kolosionis K, Karatzas GP (2016a) Spatial variability estimation and risk assessment of the aquifer level at sparsely gauged basins using geostatistical methodologies. Earth Sci Inform 9:437–448.
  • 46. Varouchakis EA, Spanoudaki K, Hristopulos DT, Karatzas GP, Corzo Perez GA (2016b) Stochastic modeling of aquifer level temporal fluctuations based on the conceptual basis of the soil-water balance equation. Soil Sci 181:224–231.
  • 47. Vozinaki A-E, Karatzas G, Sibetheros I, Varouchakis E (2015) An agricultural flash flood loss estimation methodology: the case study of the Koiliaris basin (Greece), February 2003 flood. Nat Hazards 79:899–920.
  • 48. Yue S, Pilon P, Cavadias G (2002) Power of the Mann–Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. J Hydrol 259:254–271.
Typ dokumentu
Identyfikator YADDA
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.