Skip to main content
Log in

Comparison of standardized meteorological indices for drought monitoring at northern part of Cyprus

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

Drought monitoring and assessment are essential for sustainable and effective planning and management of scarce resources under changing environment. Large number of indices are developed that can be utilized to characterize drought events. This study aims to compare and evaluate the performance of standardized precipitation index (SPI), reconnaissance drought index (RDI), statistical Z-Score, China Z-Index (CZI), Supply and Demand Drought Index (SDDI) and combined China Z and Supply and Demand Drought Index (CZSDDI) for their suitability, effectiveness and dependability and for monitoring the impact of drought on agriculture and groundwater. The study revealed that all the drought indices are highly and significantly correlated with each other (minimum 0.982 and maximum 0.998). In capturing the impact of drought on yield of wheat and barley, all the indices were equally satisfactory while SDDI performed comparatively better. On the other hand, none of the indices were representative on analysing drought impact on groundwater sources. In addition, using non-parametric Mann–Kendall trend test the temporal evolution of drought indices disclosed statistically insignificant trends. Finally, the relationship between drought and Southern Oscillation (La Nino/El Nino episodes) and North Atlantic Oscillation (NAO) events have been scrutinised and found that there exists no clear evidence on these teleconnection patterns to have any influence on the occurrence of drought in the study area.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Notes

  1. https://www.esrl.noaa.gov/psd/gcos_wgsp/Timeseries/SOI/, http://origin.cpc.ncep.noaa.gov/products/precip/CWlink/MJO/enso.shtml.

References

  • Bagdonavicius V, Kruopis J, Nikulin M (2011) Nonparametric tests for complete data. Wiley, New York

    Book  Google Scholar 

  • Banimahd SA, Khalili D (2013) Factors influencing Markov Chains predictability characteristics, utilizing SPI, RDI, EDI and SPEI drought indices in different climatic zones. Water Resour Manag 27:3911–3928. https://doi.org/10.1007/s11269-013-0387-z

    Article  Google Scholar 

  • Bhuiyan C (2004) Various drought indices for monitoring drought condition in Aravalli terrain of India. In: Proceedings of the XXth ISPRS Conference, International Society of Photogrammetry and Remote Sensing, Istanbul, Turkey

  • Cook BI, Anchukaitis KJ, Touchan R, Meko DM, Cook ER (2016) Spatiotemporal drought variability in the Mediterranean over the last 900 years. J Geophys Res-Atmos 121(5):2060–2074

    Article  Google Scholar 

  • Dabanlı I, Mishra AK, Sen Z (2017) Long-term spatio-temporal drought variability in Turkey. J Hydrol 552:779–792

    Article  Google Scholar 

  • Dogan S, Berktay A, Singh VP (2012) Comparison of multi-monthly rainfall-based drought severity indices with application to semi-arid Konya closed basin, Turkey. J Hydrol 470–471:255–268

    Article  Google Scholar 

  • EC (European Commission) (2008) Drought management plan report including agricultural, drought indicators and climate change aspects. Water Scarcity and Droughts Expert Network. Technical Report, 2008/023

  • Edwards DC, McKee TB (1997) Characteristics of 20th century drought in the United States at multiple time scales. Atmos Sci 634:1–30

    Google Scholar 

  • Franka A, Armenski T, Gocicc M, Popov S, Popovic L, Trajkovic S (2017) Influence of mathematical and physical background of drought indices on their complementarity and drought recognition ability. Atmos Res 194:268–280

    Article  Google Scholar 

  • Garcia-Ruiz J, Lopez-Moreno I, Vicente-Serrano S, Lasanta-Martinez T, Begueria S (2011) Mediterranean water resources in a global change scenario. Earth-Sci Rev 105:121–139

    Article  Google Scholar 

  • Hayes M, Wilhite DA, Svoboda M, Vanyarkho O (1999) Monitoring the 1996 drought using the standardized precipitation index. Bull Am Meteorol Soc 80:429–438

    Article  Google Scholar 

  • Hoerling M, Eischeid J, Perlwitz J, Quan X, Zhang T, Pegion P (2012) On the increased frequency of Mediterranean drought. J Climatol 25(6):2146–2161

    Article  Google Scholar 

  • Jamal AAA, Türker U (2015) Assessment of the regional water balance of the limestone subaquifers of Cyprus. J Earth Sys Sci 124(3):541–551

    Article  Google Scholar 

  • Kendall MG (1975) Rank correlation methods. 4th ed. London

  • Kendall MG, Stuart A (1977) The advanced theory of statistics. Distribution theory, vol 1. Charles Griffin Company, London, pp 400–401

    Google Scholar 

  • Keyantash J, Dracup JA (2002) The quantification of drought: an evaluation of drought indices. Bull Am Meterol Soc 83:1167–1180

    Article  Google Scholar 

  • Kostopoulou E, Jones PD (2005) Assessment of climate extremes in the Eastern Mediterranean, Meteorog. Atmos Phys 89:69–85. https://doi.org/10.1007/s00703-005-0122-2

    Article  Google Scholar 

  • Li X, Wang X, Babovic V (2018) Analysis of variability and trends of precipitation extremes in Singapore during 1980–2013. Int J Climatol 38(1):125–141

    Article  Google Scholar 

  • Livada I, Assimakopoulos VD (2007) Spatial and temporal analysis of drought in Greece using the Standardized Precipitation Index (SPI). Theor Appl Climatol 89(3–4):143–153

    Article  Google Scholar 

  • Lobell DB, Schlenker W, Costa-Roberts J (2011) Trends and global crop production since 1980. Science 333:616–620. https://doi.org/10.1126/science.1204531

    Article  Google Scholar 

  • Mann HB (1945) Nonparametric tests against trend. Econ J Econ Soc 245–259

    Article  Google Scholar 

  • McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. Paper presented at 8th conference on applied climatology. American Meteorological Society, Anaheim, pp 179–184

    Google Scholar 

  • Merabti A, Meddi M, Martins DS, Pereira LS (2018) Comparing SPI and RDI applied at local scale as influenced by climate. Water Resour Manag 32(3):1071–1085

    Article  Google Scholar 

  • Michaelides S, Karacostas T, Sánchez JL et al (2018) Reviews and perspectives of high impact atmospheric processes in the Mediterranean. Atmos Res 208:4–44

    Article  Google Scholar 

  • Mishra AK, Singh VP (2010) A review of drought concepts. J Hydrol 391:202–216

    Article  Google Scholar 

  • Mohammed R, Scholz M (2017) Impact of evapotranspiration formulations at various elevations on the Reconnaissance Drought Index. Water Resour Manag 31:531–548. https://doi.org/10.1007/s11269-016-1546-9

    Article  Google Scholar 

  • Morid S, Smakhtin V, Moghaddasi M (2006) Comparison of seven meteorological indices for drougnt monitoring in Iran. Int J Climatol 26:971–985

    Article  Google Scholar 

  • Niemeyer S (2008) New drought indices. In: López-Francos A (ed) Drought management: scientific and technological innovations. Options Méditerranéennes: Série A. Séminaires Méditerranéens, Zaragoza: CIHEAM 80: 267–274

  • Ntale HK, Gan TY (2003) Drought indices and their application to East Africa. Int J Climatol 23:1335–1357

    Article  Google Scholar 

  • Okpara JN, Afiesimama EA, Anuforom AC, Owino A, Ogunjobi KO (2017) The applicability of Standardized Precipitation Index: drought characterization for early warning system and weather index insurance in West Africa. Nat Hazards 89:555–583. https://doi.org/10.1007/s11069-017-2980-6

    Article  Google Scholar 

  • Paulo AA, Rosa RD, Pereira LS (2012) Climate trends and behaviour of drought indices based on precipitation and evapotranspiration in Portugal. Nat Hazard Earth Sys 12:1481–1491

    Article  Google Scholar 

  • Payab AH, Türker U (2018) Analyzing temporal–spatial characteristics of drought events in the northern part of Cyprus. Environ Dev Sustain 20(4):1553–1574

    Article  Google Scholar 

  • Potopová V, Stepánek P, Mozny M, Türkott L, Soukup J (2015) Performance of the standardised precipitation evapotranspiration index at various lags for agricultural drought risk assessment in the Czech Republic. Agric For Meteorol 202:26–38

    Article  Google Scholar 

  • Quiring SM (2009) Monitoring drought: an evaluation of meteorological drought indices. Geogr Compass 3(1):64–88

    Article  Google Scholar 

  • Rind D, Goldberg R, Hansen J, Rosenzweig C, Ruedy R (1990) Potential evapotranspiration and the likelihood of future drought. J Geophys Res-Atmos 95(D7):9983–10004

    Article  Google Scholar 

  • Shohami D, Dayan U, Morin E (2011) Warming and drying of the eastern Mediterranean: additional evidence from trend analysis. J Geophys Res 116:D22101

    Article  Google Scholar 

  • Spearman C (1904) The proof and measurement of association between two things. Am J Psychol 15(1):72–101

    Article  Google Scholar 

  • Spinoni J, Naumann G, Carrao H, Barbosa P, Vogt JV (2014) World drought frequency, duration, and severity for 1951–2010. Int J Climatol 34(8):2792–2804

    Article  Google Scholar 

  • Spinoni J, Naumann G, Vogt J, Barbosa P (2015a) European drought climatologies and trends based on a multi-indicator approach. Global Planet Change 127:50–57

    Article  Google Scholar 

  • Spinoni J, Naumann G, Vogt JV, Barbosa P (2015b) The biggest drought events in Europe from 1950 to 2012. J Hydrol Reg Stud 3:509–524

    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 

  • Tigkas D, Vangelis H, Tsakiris G (2013) The RDI as a composite climatic index. Eur Water 41:17–22

    Google Scholar 

  • Tramblay Y, Hertig E (2018) Modelling extreme dry spells in the Mediterranean region in connection with atmospheric circulation. Atmos Res 202:40–48

    Article  Google Scholar 

  • Trenberth KE, Dai A, Van der Schrier G, Jones PD, Barichivich J, Briffa KR, Sheffield J (2014) Global warming and changes in drought. Nat Clim Chang 4(1):17–22

    Article  Google Scholar 

  • Tsakiris G, Vangelis H (2005) Establishing a drought index incorporating evapotranspiration. Eur Water 9(10):3–11

    Google Scholar 

  • Türker U, Alsalabi BS, Rızza T (2013) Water table fluctuation analyses and associated empirical approach to predict spatial distribution of water table at Yeşilköy/AgiosAndronikos aquifer. Environ Earth Sci 69(1):63–75

    Article  Google Scholar 

  • Van der Schrier G, Jones PD, Briffa KR (2011) The sensitivity of the PDSI to the Thornthwaite and Penman-Monteith parameterizations for potential evapotranspiration. J Geophys Res 116:D03106. https://doi.org/10.1029/2010JD015001

    Article  Google Scholar 

  • Vangelis H, Tigkas D, Tsakiris G (2013) The effect of PET method on Reconnaissance Drought Index (RDI) calculation. J Arid Environ 88:130–140

    Article  Google Scholar 

  • Vasiliades L, Galiatsatou P, Loukas A (2015) Nonstationary frequency analysis of annual maximum rainfall using climate covariates. Water Resour Manag 29:339–358. https://doi.org/10.1007/s11269-014-0761-5

    Article  Google Scholar 

  • Vicente-Serrano SM, Beguería S, López-Moreno JI (2010) A multi-scalar drought index sensitive to global warming: the Standardized Precipitation Evapotranspiration Index-SPEI. J Climate 23(7):1696–1718

    Article  Google Scholar 

  • Vicente-Serrano SM, Van der Schrier G, Beguería S, Azorin-Molina C, Lopez-Moreno JI (2015) Contribution of precipitation and reference evapotranspiration to drought indices under different climates. J Hydrol 526:42–54

    Article  Google Scholar 

  • Von Neumann J (1941) Distribution of the ratio of the mean square successive difference to the variance. Ann Math Stat 12(4):367–395

    Article  Google Scholar 

  • WMO (2012) Standardized precipitation index. User Guide. World Meteorological Organization, Geneva, Switzerland, WMO-No. 01090. ISBN 978-92-63-11091-6

  • Wu H, Hayes MJ, Weiss A, Hu QI (2001) An evaluation of the standardized precipitation index, the china-Z index and the statistical Z-Score. Int J Climatol 21(6):745–758

    Article  Google Scholar 

  • Xoplaki E, Trigo RM, Garcia-Herrera R et al. (2012) Large-scale atmospheric circulation driving extreme climate events in the Mediterranean and its related impacts. In: Lionello P (ed), pp 347–417

  • Yao J, Zhao Y, Chen Y, Yu X, Zhang R (2018) Multi-scale assessments of droughts: a case study in Xinjiang, China. Sci Total Environ 630:444–452

    Article  Google Scholar 

  • Yusopa Z, Hui-Meana F, Yusof F (2018) Drought analysis and water resource availability using standardised precipitation evapotranspiration index. Atmos Res 201:102–115

    Article  Google Scholar 

  • Zhang B, He C (2016) A modified water demand estimation method for drought identification over arid and semiarid regions. Agr Forest Meteorol 230–231:58–66

    Article  Google Scholar 

Download references

Acknowledgements

The required data essential for the research has been provided by State Meteorological Department of northern part of Cyprus. The authors would like to thank for their contribution to this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Umut Türker.

Additional information

Publisher's Note

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

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 2015 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Payab, A.H., Türker, U. Comparison of standardized meteorological indices for drought monitoring at northern part of Cyprus. Environ Earth Sci 78, 309 (2019). https://doi.org/10.1007/s12665-019-8309-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12665-019-8309-x

Keywords

Navigation