Abstract
This study mostly aimed to modify the calculation process of the standardized precipitation index (SPI) to survey the droughts in arid and semi-arid areas. The selection of the best probability distribution functions, selection of the most appropriate probabilistic estimates to assign SPI values to zero precipitations, and recommendation of an appropriate precipitation time series arrangement at different time scales were focused attention to modify the SPI calculation process. The results demonstrated that the probability distribution of the generalized extreme values at monthly, seasonal and annual time scales was the best alternative to calculate the SPI than the default gamma distribution. To assign SPI values to zero precipitation at precipitation time series of arid and semi-arid areas which have a specific seasonal precipitation regime, the statistical "center of mass" of zero distribution method yielded better results than the maximum likelihood estimation method. Finally, to arrange precipitation time series of arid and semi-arid areas, it was proposed to consider the individual months and seasons as an independent statistical population rather than to consider the entire monthly rainfall time series of these areas as an independent statistical population. This is because if this type of rainfall time series arrangement is not selected, the dry months are shown to be less important while the wet months more important when calculating the SPI.
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20 September 2022
Editor’s Note: Readers are alerted that concerns have been raised regarding overlap between this article and a previous publication from a different author group. Further editorial action will be taken if appropriate once the investigation into the concerns is complete and all parties have been given an opportunity to respond in full.
15 November 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s11269-022-03379-8
References
Agnew C (2000) Using the SPI to identify Drought. Drought Network News (1994-2001), Paper 1 12(1); 6-12
Aksoy H (2000) Use of gamma distribution in hydrological analysis. Turkish J Eng Env Sci 24(6): 419–428
Almedeij J (2014) Drought analysis for Kuwait using Standardized Precipitation Index. Sci World J 2014:1–9
Angelidis P, Fotios M, Kotsovinos N, Hrissanthou V (2012) Computation of drought index SPI with alternative distribution functions. Water Resour Manage 26(9):2453–2473
ARCS (2007) Drought Monitoring Using Vegetation and LST indices in Nepal and Northeastern India. http://www.a-a-r-s.org/arcs/proceeding/ARCS2007/Papers/PS2.G5.4pdf. Accessed 4.08.2013
Bailey RW (1994) Polar generation of random variates with the t-distribution. Math Comput 62(206):779–781
Bansal N, Hamedani GG, Key E, Volkmer H, Zhang H, Behboodian J (1999) Some characterizations of the normal distribution. Stat Probab Lett 42(4):393–400
Benjamin JR, Cornell CA (1970) Probability, Statistics and Decision for Civil Engineers, McGraw-Hill, Inc., New York, 685
Bhakar SR, Bansal AK, Chhajed N, Purohit RC (2006) Frequency Analysis of Consecutive Days Maximum Rainfall at Banswara, Rajasthan. India ARPN J Eng Appl Sci 1(3):64–67
Blain GC (2011) Standardized precipitation index based on pearson type III distribution. Rev Bras De Meteorol 26:167–180
Castellvi F, Mormeneo I, Perez PJ (2004) Generation of daily amounts of precipitation from standard climatic data: a case study for Argentina. J Hydrol 289:286–302
Cooray K, Ananda MM (2008) A generalization of the half-normal distribution with applications to lifetime data. Commun Stat-Theor M 37(9):1323–1337
Dahamsheh A, Aksoy H (2006) Structural characteristics of annual precipitation data in Jordan. Theor Appl Climatol 88:201–212
Decani JS, Stine RA (1986) A note on deriving the information matrix for a logistic distribution. Am Stat 40(3):220–222
Dogan S, Berktay A, Singh VP (2012) Comparison of multi-monthly rainfall-based drought severity indices, with application to semiarid Konya closed basin, Turkey. J Hydrol 470–471:255–268
Drăgulescu A, Yakovenko VM (2001) Evidence for the exponential distribution of income in the USA. Eur Phys J B 20(4): 585–589
Edwards DC, McKee TB (1997) Characteristics of 20th century drought in the United States at multiple time scales. Atmospheric Science Paper No. 634, Climatology Report 97–2, Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, 155
Guttman NB (1999) Accepting the standardized precipitation index: a calculation algorithm. J Am Water Resour Assoc 35 (2): 311–322
Haghighatjou P (2002) Probability distribution functions as applied to monthly and annual precipitation of old stations in Iran. J Agric Sci Natur Resour 9(3): 41–48. (In Persian)
Haight FA (1967) Handbook of the Poisson Distribution. Wiley, New York
Husak GJ, Michaelsen J, Funk C (2007) Use of the gamma distributionto represent monthly rainfall in Africa for drought monitoring applications. Int J Climatol 27:935–944
Jain VK, Pandey RP, Jain MK, Byun HR (2015) Comparison drought indices for appraisal of drought characteristics in the Ken River Basin. Weather Clim Extremes 8:1–11
Kotz S, Nadarajah S (2000) Extreme value distributions: theory and applications. World Scientific. 196 pp.
Lange KL, Little RJ, Taylor JM (1989) Robust statistical modeling using the t distribution. J Am Stat Assoc 84(408):881–896
Lloyd-Hughes B, Saunders MA (2002) A drought climatology for Europe. Int J Climatol 22:1571–1592
Livada I, Assimakopoulos V (2007) Spatial and temporal analysis of drought in Greece using the Standardized Precipitation Index (SPI). Theor Appl Climatol 89(3–4):143–153
Michaelides S, Pashiardis S (2008) Monitoring drought in Cyprus during the 2007–2008 hydrometeorological year by using the standardized precipitation index (SPI). Eur Water 23(24):123–131
Mahmoudi P, Rigi A, Miri Kamak M (2019) A comparative study of precipitation based drought indices with the aim of selecting the best index for drought monitoring in Iran. Theor Appl Climatol 137(3–4):3123–3138
Mahmoudi P, Rigi A, Miri Kamak M (2019b) Evaluating the sensitivity of precipitation-based drought indices to different lengths of record. J Hydrol 579: 124181
Makkonen L (2006) Plotting positions in extreme value analysis. J Appl Meteorol Climatol 45(2):334–340
Makkonen L (2008) Bringing closure to the plotting position controversy. Commun Stat Theory Meth 37(3):460–467
Masoodian SA (2012) Climate of Iran. Sharia -E- Tous Press, Mashhad, Iran, pp. 217 (In Persian).
McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scale. Preprints, Eighth Conf. on Applied Climatology, Anaheim, CA, Amer Meteor. Soc 179–184
McKee TB, Doesken NJ, Kleist J (1995) Drought monitoring with multiple time scales. Preprints, Ninth Conf. on Applied Climatology, Dallas, TX, Amer Meteor Soc 233–236
Mishra AK, Singh VP (2010) A review of drought concepts. J Hydrol 391:202–216
Mondol MAH, Ara I, Das SC (2017) Meteorological drought index mapping in Bangladesh using Standardized Precipitation Index during 1981–2010. Adv Meteorol 2017:1–17
Moorhead JE, Gowda PH, Singh VP, Porter DO, Marek TH, Howell TA, Stewart BA (2015) Identifying and Evaluating a suitable index for agricultural drought monitoring in the Texas High Plains. J Am Resour as 51(3):807–820
Morid S, Smakhtin V, Moghaddasi M (2006) Comparison of seven meteorological indices for drought monitoring in Iran. Int J Climatol 27(15):971–985
Muraleedharan G, Soares CG, Lucas C (2011) Characteristic and moment generating functions of generalised extreme value distribution (GEV). In Sea Level Rise, Coastal Engineering, Shorelines and Tides ;269–276. Nova
Nolan JP (1997) Numerical calculation of stable densities and distribution functions. Commun Stat Stoch M 13(4), 759–774
Nolan J (2003) Stable distributions: models for heavy-tailed data. Springer International Publishing, 341
Ntale HK, Gan T (2003) Drought indices and their application to East Africa. Int J Climatol 23(11):1335–1357
Patel JK, Read CB (1996) Handbook of the normal distribution (Vol. 150). CRC Press
Paulo AA, Pereira LS (2006) Drought concepts and characterization, comparing drought indices applied at local and regional scales. Water Int 31(1):37–49
Paulo AA, Pereira LS, Matias PG (2003) Analysis of Local and Regional Droughts in Southern Portugal using the Theory of Runs and the Standardised Precipitation Index. In: Rossi G., Cancelliere A., Pereira L.S., Oweis T., Shatanawi M., Zairi A. (eds) Tools for Drought Mitigation in Mediterranean Regions. Water Science and Technology Library, vol 44. Springer, Dordrecht
Pewsey A (2002) Large-sample inference for the general half-normal distribution. Commun Stat-Theor M 31(7):1045–1054
Pulwarty RS, Sivakumar MVK (2014) Information systems in a changing climate: Early Warnings and drought risk management. Weather Clim Extremes 3:14–21
Siddiqui MM (1964) Statistical inference for Rayleigh distributions. J Res Natl Bur Stand (U. S.) 68(9): 1007–1012
Sienz F, Bothe O, Fraedrich K (2012) Monitoring and quantifying future climate projections of dryness andwetness extremes: SPI bias. Hydrol Earth Syst Sci 16:2143–2157
Shoji T, Kitaura H (2006) Statistical and geostatistical analysis of rainfall in Central Japan. Comput Geosci 32:1007–1024
Solakova T, De Michele C, Vezzoli R (2014) Comparison between Parametric and Nonparametric Approaches for the Calculation of Two Drought Indices: SPI and SSI. J Hydrol Eng 19(9):04014010
Sonmez FK, Komuscu AU, Erkan A, Turgu E (2005) An analysis of spatial and temporal dimension of drought vulnerability in Turkey using the standardized precipitation index. Nat Hazards 35:243–264
Stagge JH, Tallaksen LM, Gudmundsson L, Van Loonc AF, Stahle K (2015) Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int J Climatol 35:4027–4040
Stigler SM (1982) Poisson on the Poisson distribution. Stat Probab Lett 1(1):33–35
Tigkas D, Vangelis H, Tsakiris G (2019) Drought characterisation based on an agriculture-oriented standardized precipitation index. Theor Appl Climatol 135:1435–1447
Tsakiris G, Pangalou D, Vangelis H (2007) Regional drought assessment based on reconnaissance drought index (RDI). Water Resour Manag 2(5):821–833
Türkeș M, Tatli H (2009) Use of the Standardized Precipitation Index (SPI) and a modified SPI for shaping the drought probabilities over Turkey. Int J Climatol 29(15):2270–2282
Vermes L (1998) How to Work Out a Drought Mitigation Strategy. ICID Guide, 309/1998, Bonn
Vlcek O, Huth R (2009) Is daily precipitation gamma-distributed: adverse effects of an incorrect use of the Kolmogorov-Smirnov test. Atmos Res 93:759–766
Weron A, Weron R (1995) Computer simulation of Lévy α-stable variables and processes. In: Garbaczewski P., Wolf M., Weron A. (eds) Chaos — The Interplay Between Stochastic and Deterministic Behaviour. Lecture Notes in Physics, vol 457. Springer, Berlin, Heidelberg
Wilhite DA (2006) Drought monitoring, mitigation and preparedness in the United States: An end to end approach. WMO Task Force on Socio-Economic Application of Public Weather Services, Geneva, Switzerland, WMO, p 32
Wilks DS (1990) Maximum likelihood estimation for the gamma distribution using data containing zeros. J Clim 3:1495–1501
WMO (2006) Drought Monitoring and early warning: concepts, progress and future challenges. WMO-No.1006, World Meteorol Org 4
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)
Wu H, Hayes MJ, Wilhite DA, Svoboda MD (2005) The effect of the length of record on the Standardized Precipitation Index calculation. Int J Climatol 25(4):505–520
Wu H, Svoboda MD, Hayes MJ, Wilhite DA, Wen F (2007) Appropriate application of the Standardized Precipitation Index in arid locations and dry seasons. Int J Climatol 27(1):65–79
Yuan X, Jian J, Jiang G (2016) Spatiotemporal variation of precipitation regime in China from 1961 to 2014 from the Standardized Precipitation Index. ISPRS Int J Geo-Inf 5(11):1–18
Acknowledgements
The Authors would like to acknowledge the Financial Support of University of Sistan and Baluchestan for this Research under Grant Number 4323.
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The study was conceived by PM. AG and SMAJ assisted in writing the code for the statistical modeling. PM, AG and AR carried out the analysis. PM, SMAJ and AG interpreted the results and drafted the article. All the authors provided suggestions and reviewed the final version of the article.
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Mahmoudi, P., Ghaemi, A., Rigi, A. et al. RETRACTED ARTICLE: Recommendations for modifying the Standardized Precipitation Index (SPI) for Drought Monitoring in Arid and Semi-arid Regions. Water Resour Manage 35, 3253–3275 (2021). https://doi.org/10.1007/s11269-021-02891-7
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DOI: https://doi.org/10.1007/s11269-021-02891-7