@article{ART002309461},
author={Se Jin Jeung and Woo Suk Han and Kim Byung Sik},
title={A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model},
journal={Crisisonomy},
issn={2466-1198},
year={2017},
volume={13},
number={12},
pages={91-101},
doi={10.14251/crisisonomy.2017.13.12.91}
TY - JOUR
AU - Se Jin Jeung
AU - Woo Suk Han
AU - Kim Byung Sik
TI - A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model
JO - Crisisonomy
PY - 2017
VL - 13
IS - 12
PB - Crisis and Emergency Management: Theory and Praxis
SP - 91
EP - 101
SN - 2466-1198
AB - This paper sought to generate the stochastic simulative snowfall data through a multi-site Markov Chain model, which was constructed from the historical snowfall data collected at major meteorological stations in Gangwon Province in Korea. The need for a multi-site stochastic simulative generation technique was mandated by such a noticeable difference in the weather characteristics between the two regions in Gangwon Province, the Yeongdong and Yongseo regions, divided by the Taebaek Mountain Range. A stochastic simulative generation technique can take into consideration a spatial association of multiple sites. This paper used the Mann–Kendall and autocorrelation function analyses to identify the predisposition and randomness of the data. Then, a multi-site Markov Chain model was used to simulate the data within the period covered by the existing records in Gangwon Province and the simulated data were compared to the actual historical data using a statistical analysis. Based on the comparison, the probabilistic snowfall forecasts were generated for the next 100 years. The multi-site Markov Chain model developed in this paper took into account a sharp distinction between the Yeongdong and Yongseo regions, and was found to be suitable for simulating the snowfall data for architectural purposes.
KW - multi site Markov-chain model;stochastic generation;probable snowfall
DO - 10.14251/crisisonomy.2017.13.12.91
ER -
Se Jin Jeung, Woo Suk Han and Kim Byung Sik. (2017). A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model. Crisisonomy, 13(12), 91-101.
Se Jin Jeung, Woo Suk Han and Kim Byung Sik. 2017, "A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model", Crisisonomy, vol.13, no.12 pp.91-101. Available from: doi:10.14251/crisisonomy.2017.13.12.91
Se Jin Jeung, Woo Suk Han, Kim Byung Sik "A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model" Crisisonomy 13.12 pp.91-101 (2017) : 91.
Se Jin Jeung, Woo Suk Han, Kim Byung Sik. A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model. 2017; 13(12), 91-101. Available from: doi:10.14251/crisisonomy.2017.13.12.91
Se Jin Jeung, Woo Suk Han and Kim Byung Sik. "A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model" Crisisonomy 13, no.12 (2017) : 91-101.doi: 10.14251/crisisonomy.2017.13.12.91
Se Jin Jeung; Woo Suk Han; Kim Byung Sik. A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model. Crisisonomy, 13(12), 91-101. doi: 10.14251/crisisonomy.2017.13.12.91
Se Jin Jeung; Woo Suk Han; Kim Byung Sik. A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model. Crisisonomy. 2017; 13(12) 91-101. doi: 10.14251/crisisonomy.2017.13.12.91
Se Jin Jeung, Woo Suk Han, Kim Byung Sik. A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model. 2017; 13(12), 91-101. Available from: doi:10.14251/crisisonomy.2017.13.12.91
Se Jin Jeung, Woo Suk Han and Kim Byung Sik. "A Stochastic Generation of Snowfall Data and Probabilistic Snowfall Using Multi-site Markov Chain Model" Crisisonomy 13, no.12 (2017) : 91-101.doi: 10.14251/crisisonomy.2017.13.12.91
