Research on the method of wind speed interpolation based on spatially anisotropic analysis

Author

Beibei Liu ; Xiling Luo ; Han Wei

Author_Institution

Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China

fYear

2013

fDate

20-22 Dec. 2013

Firstpage

2935

Lastpage

2939

Abstract

By analyzing the spatially anisotropy of 10-minute average wind speed data from 299 automatic weather observing stations in Jilin Province, this paper put forward a new nested variogram model based on a multiple-direction analysis and conducted data interpolation with Ordinary Kriging method in both nested model and traditional single model. Based on a comparative analysis, the nested model is proved to be more accurate in wind speed interpolation.

Keywords

atmospheric techniques; interpolation; statistical analysis; wind; Jilin Province; automatic weather observing station; average wind speed data; comparative analysis; data interpolation; multiple-direction analysis; nested variogram model; ordinary kriging method; spatially anisotropic analysis; traditional single model; wind speed interpolation; wind speed interpolation method research; Analytical models; Educational institutions; Estimation; Interpolation; Random variables; Wind speed; Geostatistics; Nested Model; Ordinary Kriging; Wind Speed;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on

Conference_Location

Shengyang

Print_ISBN

978-1-4799-2564-3

Type

conf

DOI

10.1109/MEC.2013.6885532

Filename

6885532