Stochastic weather generator for diurnal temperature range

초록

Stochastic weather generator is a statistical model that generates maximum temperature (Tmax), minimum temperature (Tmin) and daily precipitation using information of weather and climate. This model is one of the ways to reflect long-term climate change or to generate a consistent daily weather sequence for weather forecast which have a seasonality. Recently, a generalized linear model (GLM) has been considered to fit stochastic weather generators to the daily data, which is useful for explaining the characteristics or trends of climate periodicity. It is also useful to add various phenomena that affect the daily weather to variables and use them to relate them to the results. Therefore, we introduce the model that generate a precipitation occurrence, Tmax and Tmin using GLM and then generate a diurnal temperature range (DTR) using proposed model.

키워드

Diurnal temperature range; generalized linear model; maximum temperature; minimum temperature; stochastic weather generator
제목
Stochastic weather generator for diurnal temperature range
저자
김상완; 김용구
DOI
10.7465/jkdi.2021.32.2.455
발행일
2021-03
유형
Y
저널명
한국데이터정보과학회지
권
32
호
2
페이지
455 ~ 462