Abstract
The spatial variability of precipitation was investigated in the northwestern corner of Iran using data collected at 24 synoptic stations from 1986 to 2015. Principal component analysis (PCA) and cluster analysis (CA) were used to regionalize precipitation in the study area. Eleven precipitation variables were averaged and arranged as an input matrix for the R-mode PCA to identify the precipitation patterns. Results suggest that the study area can be divided into four spatially homogeneous sub-zones. In addition, the spatial patterns of annual precipitation were identified by applying the T-mode PCA and CA to the annual precipitation data. The delineated spatial patterns revealed three distinct sub-regions. The resultant maps were compared with the spatial distribution of the rotated principal components (PCs). Results pointed out that the delineated clusters are characterized by different precipitation variability; and using different precipitation parameters can lead to different spatial patterns of precipitation over northwest Iran.
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References
Ahani H, Kherad M, Kousari MR, Rezaeian-Zadeh M, Karampour MA, Ejraee F, Kamali S (2012) An investigation of trends in precipitation volume for the last three decades in different regions of Fars province, Iran. Theor Appl Climatol 109(3):361–382
Alexandersson H (1986) A homogeneity test applied to precipitation data. J Climatol 6(6):661–675
Bhowmik AK (2013) Temporal patterns of the two-dimensional spatial trends in summer temperature and monsoon precipitation of Bangladesh. ISRN Atmos Sci 2013:1–16. doi:10.1155/2013/148538
Buishand TA (1982) Some methods for testing the homogeneity of rainfall records. J Hydrol 58(1):11–27
Caliński T, Harabasz J (1974) A dendrite method for cluster analysis. Communications in Statistics-theory and Methods 3(1):1–27
Dinpashoh Y, Fakheri-Fard A, Moghaddam M, Jahanbakhsh S, Mirnia M (2004) Selection of variables for the purpose of regionalization of Iran’s precipitation climate using multivariate methods. J Hydrol 297(1):109–123
Fallah B, Sodoudi S, Russo E, Kirchner I, Cubasch U (2015) Towards modeling the regional rainfall changes over Iran due to the climate forcing of the past 6000 years. Quatern Int
Gocic M, Trajkovic S (2014) Spatiotemporal characteristics of drought in Serbia. J Hydrol 510:110–123
Gong X, Richman MB (1995) On the application of cluster analysis to growing season precipitation data in North America east of the Rockies. J Clim 8(4):897–931
Khalili K, Nazeri Tahrudi M, Khanmohammadi N (2014) Trend analysis of precipitation in recent two decade over Iran. J Appl Environ Biol Sci 4(1 s):5–10
Liu Y, Li Z, Xiong H, Gao X, Wu J (2010) Understanding of internal clustering validation measures. In: 2010 I.E. 10th International Conference on Data Mining (ICDM). IEEE, pp 911–916. doi:10.1109/ICDM.2010.35
Martins D, Raziei T, Paulo A, Pereira L (2012) Spatial and temporal variability of precipitation and drought in Portugal. Nat Hazards Earth Syst Sci 12(5):1493–1501
Pettit AN (1979) A non-parametric approach to the change-point detection. Appl Stat 28(2):126–135
Raziei T, Bordi I, Pereira L (2008) A precipitation-based regionalization for western Iran and regional drought variability. Hydrol Earth Syst Sci 12(6):1309–1321
Richman MB (1986) Rotation of principal components. J Climatol 6:293–335
Saikranthi K, Rao TN, Rajeevan M, Bhaskara Rao SV (2013) Identification and validation of homogeneous rainfall zones in India using correlation analysis. J Hydrometeorol 14(1):304–317
Santos JF, Pulido-Calvo I, Portela MM (2010) Spatial and temporal variability of droughts in Portugal. Water Resour Res 46(3):1–13
Shamshirband S, Gocić M, Petković D, Saboohi H, Herawan T, Kiah MLM, Akib S (2015) Soft-computing methodologies for precipitation estimation: a case study. IEEE J Sel Top Appl 8(3):1353–1358
Shenify M et al. (2016) Precipitation estimation using support vector machine with discrete wavelet transform. Water Resour Manag 30(2):641–652
Taxak AK, Murumkar A, Arya D (2014) Long term spatial and temporal rainfall trends and homogeneity analysis in Wainganga basin, Central India. Weather Clim Ext 4:50–61. doi:10.1016/j.wace.2014.04.005
Thornthwaite CW (1931) The climates of North America according to a new classification. Geogr Rev 21:633–655
Türkeş M, Koç T, Sariş F (2009) Spatiotemporal variability of precipitation total series over Turkey. Int J Climatol 29(8):1056–1074
Vicente-Serrano S et al. (2014) Spatio-temporal variability of droughts in Bolivia: 1955–2012. Int J Climatol 35(10):3024–3040
Von Neumann J (1941) Distribution of the ratio of the mean square successive difference to the variance. Ann Math Stat 12(4):367–395
Wijngaard J, Klein Tank A, Können G (2003) Homogeneity of 20th century European daily temperature and precipitation series. Int J Climatol 23(6):679–692
Zoljoodi M, Didevarasl A (2013) Evaluation of spatial-temporal variability of drought events in Iran using palmer drought severity index and its principal factors (through 1951–2005). Atmos Climate Sci 3:193–207
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Arab Amiri, M., Mesgari, M.S. Spatial variability analysis of precipitation in northwest Iran. Arab J Geosci 9, 578 (2016). https://doi.org/10.1007/s12517-016-2611-7
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DOI: https://doi.org/10.1007/s12517-016-2611-7