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

Climate Research

F. Kemal Sonmez¹  Y. Ersoy Yildirim¹  Halit Apaydin¹ 

关键词: Spatial interpolation;    Climate;    Southeastern Anatolia Project;    Inverse distance weighted;    Polynomial interpolation;    Kriging;    Cokriging;    Completely regularized spline;   

DOI  :  10.3354/cr028031

来源: Inter-Research Science Publishing

【 摘 要 】

ABSTRACT: 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 determine the best spatialdistribution 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 ofpredictions 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.

【 授权许可】

Unknown