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http://dx.doi.org/10.5351/KJAS.2011.24.6.1225

A Statistical Tuning Method to Improve the Accuracy of 1Km×1Km Resolution-Wind Data of South Korea Generated from a Numerical Meteorological Model  

Kim, Hea-Jung (Department of Statistics, Dongguk University-Seoul)
Kim, Hyun-Sik (Department of Statistics, Dongguk University-Seoul)
Choi, Young-Jean (Meteorological Application Research Lab, National Institute of Meteorological Research)
Lee, Seong-Woo (Meteorological Application Research Lab, National Institute of Meteorological Research)
Seo, Beom-Keun (Meteorological Application Research Lab, National Institute of Meteorological Research)
Publication Information
The Korean Journal of Applied Statistics / v.24, no.6, 2011 , pp. 1225-1235 More about this Journal
Abstract
This paper suggests a method for tuning a numerically simulated wind speed data, provided by NIMR(National Institute of Meteorological Research) and generated from a numerical meteorological model to improve a wind resource map with a $1Km{\times}1Km$ resolution. To this end, "tuning factor method" is developed that consists of two procedures. First, estimate monthly wind fields based on a suitably designed statistical wind field model that covers 345,682 regions obtained by $1Km{\times}1Km$ lattice sites in South Korea. The second procedure computes the tuning factor and then tunes the generated wind speeds of each month as well as each lattice site. The second procedure is based on the wind fields estimated by the first procedure. The performance of the suggested tuning method is demonstrated by using two wind data(both TMY and numerically simulated wind speed data) of 75 weather station areas.
Keywords
Tuning factor method; numerically simulated wind speed data; statistical wind field model; TMY wind data; Meteorological resource map; tuning of wind speed;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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