Spatial interpolation techniques for climate data in the GAP region in Turkey

被引：124

作者：

Apaydin, H ^{[1
]}

Sonmez, FK ^{[1
]}

Yildirim, YE ^{[1
]}

机构：

[1] Ankara Univ, Dept Farm Struct & Irrigat, Fac Agr, TR-06110 Ankara, Turkey

来源：

CLIMATE RESEARCH | 2004年 / 28卷 / 01期

关键词：

spatial interpolation; climate; Southeastern Anatolia Project; inverse distance weighted; polynomial interpolation; kriging; cokriging; completely regularized spline;

D O I：

10.3354/cr028031

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Six spatial interpolation techniques (inverse distance weighted, global polynomial interpolation, local polynomial interpolation, completely regularized spline, kriging and cokriging with 4 sub-types) were evaluated to deter-mine the best spatial distribution of 6 different climate parameters (solar radiation, sunshine duration, temperature, relative humidity, wind speed and rainfall) in the region of the Southeastern Anatolia Project (GAP) of Turkey. Based on the root mean square error values of predictions made using measured values from 1971 to 1999, simple cokriging yielded the best results for temperature, solar radiation, relative humidity, wind speed and completely regularized spline for sunshine duration and rainfall.

引用

页码：31 / 40

页数：10

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