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http://dx.doi.org/10.5351/KJAS.2013.26.3.413

A Modeling of Daily Temperature in Seoul using GLM Weather Generator  

Kim, Hyeonjeong (Department of Statistics, Yeungnam University)
Do, Hae Young (Department of Statistics, Kyungpook National University)
Kim, Yongku (Department of Statistics, Yeungnam University)
Publication Information
The Korean Journal of Applied Statistics / v.26, no.3, 2013 , pp. 413-420 More about this Journal
Abstract
Stochastic weather generator is a commonly used tool to simulate daily weather time series. Recently, a generalized linear model(GLM) has been proposed as a convenient approach to tting these weather generators. In the present paper, a stochastic weather generator is considered to model the time series of daily temperatures for Seoul South Korea. As a covariate, precipitation occurrence is introduced to a relate short-term predictor to short-term predictands. One of the limitations of stochastic weather generators is a marked tendency to underestimate the observed interannual variance of monthly, seasonal, or annual total precipitation. To reduce this phenomenon, we incorporate a time series of seasonal mean temperatures in the GLM weather generator as a covariate.
Keywords
Daily temperature; generalized linear model; overdispersion; stochastic weather generator;
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