Skip to main content
SpringerLink
Log in

Tele-connections of atmospheric oscillations on streamflow data in Turkey

  • Original Paper
  • Published:
Meteorology and Atmospheric Physics Aims and scope Submit manuscript

Abstract

The climate indices demonstrate temporal and spatial variability of large-scale ocean–atmosphere patterns. This study has been carried out to analyze the streamflow data in Turkey to understand the effects of climate indices such as the Southern Oscillation (SO), the North Atlantic Oscillation (NAO), and the Arctic Oscillation (AO). The periodical relationship of the streamflow data of Turkey over different atmospheric oscillations was investigated. For this purpose, the average annual and seasonal flows at the current 72 stations in other regions of Turkey have been studied. In this context, the correlation analysis determined the relationship between NAO, AO, SO indices, and stream-flows. Besides, the original observed data were separated into parts by discrete wavelet transform to obtain the periodic components. The correlations between the found periodical components and atmospheric indices were also examined. The correlations between the streamflow and the AO/NAO showed a strong negative relationship during the annual/winter and spring periods, especially in western Turkey. Besides, the periodic components showed us the multi-annual connections between the global indices and the streamflow data of Turkey.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Adamovski J, Prokoph A (2014) Determining the amplitude and timing of streamflow discontinuities: a cross wavelet analysis approach. Hydrol Process 28(5):2782–2793

    Article  Google Scholar 

  • Adarsh S, Reddy MJ (2014) Trend analysis of rainfall in four meteorological subdivisions of southern India using nonparametric methods and discrete wavelet transforms. Int J Climatol 35(6):1107–1124. https://doi.org/10.1002/joc.4042

    Article  Google Scholar 

  • Bladé I, Liebmann B, Fortuny D, van Oldenborgh G (2012) Observed and simulated impacts of the summer NAO in Europe: implications for projected drying in the Mediterranean region. Clim Dyn 39:709–727. https://doi.org/10.1007/s00382-011-1195-x

    Article  Google Scholar 

  • Brandimarte L, Baldassarre G, Bruni G, D’Odorico P, Montanari A (2010) Relation between the North-Atlantic Oscillation and hydroclimatic conditions in Mediterranean areas. Water Res Man 25:1269–1279

    Article  Google Scholar 

  • Burt T, Howden N (2013) North Atlantic Oscillation amplifies orographic precipitation and river flow in upland Britain. Water Res Res 49(6):3504–3515

    Article  Google Scholar 

  • Cannas B, Fanni A, See L, Sias G (2006) Data processing for river flow forecasting using neural networks: wavelet transforms and data partitioning. Phy Chem Earth 31:1164–1171

    Article  Google Scholar 

  • 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 Hydromet 19(3):485–498

    Article  Google Scholar 

  • Dettinger MD, Diaz HF (2000) Global characteristics of stream flow seasonality and variability. J Hydromet 1:289–310

    Article  Google Scholar 

  • Durdu ÖF (2010) Effects of climate change on water resources of the Büyük Menderes River basin, Western Turkey. Turk J Agric for 34(4):319–332

    Google Scholar 

  • Duzenli E, Tabari H, Willems P, Yilmaz MT (2018) Decadal variability analysis of extreme precipitation in Turkey and its relationship with teleconnection patterns. Hydro Process 32(23):3513–3528

    Article  Google Scholar 

  • Fendeková M, Pekárová P, Fendek M, Pekár J, Škoda P (2014) Global drivers effect in multi-annual variability of runoff. J Hydro Hydromet 62:169–176

    Article  Google Scholar 

  • Hurrell JW (1995) Decadal trends in the North Atlantic Oscillation: regional temperatures and precipitation. Science 269:676–679. https://doi.org/10.1126/science.269.5224.676

    Article  CAS  Google Scholar 

  • Iqbal MA, Penas A, Cano-Ortiz A, Kersebaum K, Herrero L, del Río S (2016) Analysis of recent changes in maximum and minimum temperatures in Pakistan. Atm Res 168:234–249

    Article  Google Scholar 

  • Jiang R, Gan TY, Xie J, Wang N (2014) Spatiotemporal variability of Alberta’s seasonal precipitation, their teleconnection with large-scale climate anomalies and sea surface temperature. Int J Climatol 34(9):2899–2917

    Google Scholar 

  • Kahya E, Karabörk C (2001) The analysis of El Niño and La Niña signals in streamflows of Turkey. Int J Climatol 21:1231–1250

    Article  Google Scholar 

  • Karabork MC, Kahya E, Karaca M (2005) The influences of the Southern and North Atlantic oscillations on climatic surface variables in Turkey. Hydro Process 19:1185–1211

    Article  Google Scholar 

  • Kulkarni JR (2000) Wavelet analysis of the association between the southern oscillation and the Indian summer monsoon. Int J Climatol 20:89–104

    Article  Google Scholar 

  • Kundzewicz ZW (2008) Climate change impacts on the hydrological cycle. Ecohydrol Hydrobiol 2–4:195–203

    Article  Google Scholar 

  • Kutiel H, Türkes M (2005) New evidence for the role of the North Sea-Caspian pattern on the temperature and precipitation regimes in Continental Central. Geogr Ann 87(4):501–513

    Article  Google Scholar 

  • Mallat SG (1989) A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Mach Intell 11(7):674–693

    Article  Google Scholar 

  • Nalley D, Adamowski J, Khalil B (2012) Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario. J Hydrol 475:204–228

    Article  Google Scholar 

  • Nalley D, Adamowski J, Biswas A, Gharabaghi B, Hu W (2019) A multiscale and multivariate analysis of precipitation and streamflow variability in relation to ENSO NAO and PDO. J Hydrol 574:288–307

    Article  Google Scholar 

  • Nourani V, Baghanam AH, Rahimi AY, Nejad FH (2014) Evaluation of wavelet-based de-noising approach in hydrological models linked to artificial neural networks. Computational intelligence techniques in earth and environmental sciences pp 209–241

  • Partal T (2012) Wavelet analysis and multi-scale characteristics of the runoff and precipitation series of the Aegean region (Turkey). Int J Climatol 32:108–120

    Article  Google Scholar 

  • Partal T, Sezen C (2019) Wavelet-based analysis of global index effects in air temperature and precipitation data of the Black Sea coast. J Water Clim Chang 10(2):402–418

    Article  Google Scholar 

  • Philandras C, Nastos P, Kapsomenakis I, Repapis C (2015) Climatology of upper air temperature in the Eastern Mediterranean region. Atm Res 152:29–42

    Article  Google Scholar 

  • Pisoft P, Kalvova J, Brazdil R (2004) Cycles and trends in the Czech temperatures series using wavelet transform. Int J Climatol 24:1661–1670

    Article  Google Scholar 

  • Polonsky AB, Bardin MY, Voskresenskaya EN (2007) Statistical characteristics of cyclones and anticyclones over the Black Sea in the second half of the 20th century. Phys Ocean 17:348–359

    Google Scholar 

  • Raymond F, Ullman A, Camberlin P, Oueslati B, Drobinski P (2018) Atmospheric conditions and weather regimes associated with extreme winter dry spells over the Mediterranean basin. Clim Dyn 50:4437–4453

    Article  Google Scholar 

  • Sagarika S, Kalra A, Ahmad S (2015) Interconnection between oceanic-atmospheric indices and variability in the US streamflow. J Hydrol 525:724–736

    Article  Google Scholar 

  • Sezen C, Partal T (2019) The impacts of Arctic oscillation and the North Sea Caspian pattern on the temperature and precipitation regime in Turkey. Meteor Atm Phys 131:1677–1696

    Article  Google Scholar 

  • Shoaib M, Shamseldin AY, Melville BW (2014) Comparative study of different wavelet based neural network models for rainfall–runoff modeling. J Hydrol 515:47–58

    Article  Google Scholar 

  • Steirou E, Gerlitz L, Apel H, Merz B (2017) Links between large-scale circulation patterns and streamflow in Central Europe: a review. J Hydrol 549:484–500

    Article  Google Scholar 

  • Tamaddun KA, Kalra A, Ahmad S (2016) Wavelet analyses of western US streamflow with ENSO and PDO. J Water Clim Chang 8(1):26–39

    Article  Google Scholar 

  • Tosunoglu F, Can İ, Kahya E (2018) Evaluation of spatial and temporal relationships between large-scale atmospheric oscillations and meteorological drought indexes in Turkey. Int J Climatol 38(12):4579–4596

    Article  Google Scholar 

  • Türkeş M (1996) Spatial and temporal analysis of annual rainfall variations in Turkey. Int J Climatol 16:1057–1076

    Article  Google Scholar 

  • Türkeş M, Erlat E (2008) Influence of the Arctic oscillation on the variability of winter mean temperatures in Turkey. Theor Appl Climatol 92(1):75–85

    Article  Google Scholar 

  • Türkeş M, Erlat E (2018) Variability and trends in record air temperature events of Turkey and their associations with atmospheric oscillations and anomalous circulation patterns. Int J Climatol 38(14):5182–5204

    Article  Google Scholar 

  • Vazifehkhah S, Kahya E (2018) Hydrological drought associations with extreme phases of the North Atlantic and Arctic oscillations over Turkey and Northern Iran. Int J Climatol 38(12):4459–4475

    Article  Google Scholar 

  • Voskresenskaya EN, Maslova VN (2011) Winter-spring cyclonic variability in the Mediterranean-Black Sea region associated with global processes in the ocean-atmosphere system. Adv Sci Res 6:237–243

    Article  Google Scholar 

  • Wang J, Wang X, Lei X, Wang H, Zhang X, You J, Tan Q, Liu X (2020) Teleconnection analysis of monthly streamflow using ensemble empirical mode decomposition. J Hydrol 582:1–18

    Article  Google Scholar 

  • Ward PJ, Kummu M, Lall U (2016) Flood frequencies and durations and their response to El Niño southern oscillation: global analysis. J Hydrol 539:358–378

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank DSI (General Directorate of State Hydraulic Works), for providing observation data for this research. The authors also would like to thank National Oceanic and Atmospheric Administration Climate Prediction Center (NOAA CPC).

Author information

Authors and Affiliations

  1. Engineering Faculty, Civil Engineering Department, Ondokuz Mayis University, Samsun, Turkey

    Emre Kebapcioğlu & Turgay Partal

Authors
  1. Emre Kebapcioğlu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Turgay Partal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Turgay Partal.

Additional information

Responsible Editor: Clemens Simmer, Ph.D.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kebapcioğlu, E., Partal, T. Tele-connections of atmospheric oscillations on streamflow data in Turkey. Meteorol Atmos Phys 136, 20 (2024). https://doi.org/10.1007/s00703-024-01014-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00703-024-01014-2

Search

Navigation