2005
DOI: 10.1016/j.atmosres.2004.08.003
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The estimation of average areal rainfall by percentage weighting polygon method in Southeastern Anatolia Region, Turkey

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Cited by 29 publications
(13 citation statements)
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“…The weighting factors as the authors presented in the paper are based on geometrical concept of inverse distance method, whereas flexibility in the weighting factors should include the effects of precipitation amounts recorded in each gaugeç Although the classical Thiessen polygon fixes the station influence areas, the weighted percentage method as developed by S ßen (1998) gives different influence percentages to nearby stations and hence refines the influence area, which causes estimation error reductions that reach even to 20% (Bayraktara et al, 2005). Why should the authors use the primitive method of inverse distance, whereas the literature is full of commonly employed weighting functions.…”
Section: The Inverse Distance Methodsmentioning
confidence: 98%
“…The weighting factors as the authors presented in the paper are based on geometrical concept of inverse distance method, whereas flexibility in the weighting factors should include the effects of precipitation amounts recorded in each gaugeç Although the classical Thiessen polygon fixes the station influence areas, the weighted percentage method as developed by S ßen (1998) gives different influence percentages to nearby stations and hence refines the influence area, which causes estimation error reductions that reach even to 20% (Bayraktara et al, 2005). Why should the authors use the primitive method of inverse distance, whereas the literature is full of commonly employed weighting functions.…”
Section: The Inverse Distance Methodsmentioning
confidence: 98%
“…However, some basic explanations and introductory level information are given in this paper to discuss their relationship to the air profile of Turkey. For more details related to the climate and topography of Turkey, readers are directed to the related literature (Bayraktar et al, 2005;Karaca et al, 1995;Kaygusuz, 2003;Kendirli et al, 2007;Sensoy, 2010). Mountainous geographical structures can influence regional climates.…”
Section: Resultsmentioning
confidence: 99%
“…In the estimation of areal precipitation by a set of given point values, there are mathematical and statistical methods with multiple complexities (Christakos 1998;Kyriakidis & Journel 1999;Haas 2002;Bayraktar et al 2005). Kriging and stochastic methods based on the spatial correlation coefficient are summarised by Bras & Rodriguez-Itrube (1985).…”
Section: Introductionmentioning
confidence: 99%