• Title/Summary/Keyword: The wind from Jeju City to Seogwipo

Search Result 2, Processing Time 0.019 seconds

Why is Seogwipo Warm in Winter? The wind from Jeju City to Seogwipo-The Wind from Seogwipo to Jeju City (서귀포는 겨울철에 왜 따뜻할까? 제귀지풍과 귀제지풍)

  • Sung kook Lee;Moon Ho Lee;Jeong Su Kim
    • The Journal of the Convergence on Culture Technology
    • /
    • v.9 no.4
    • /
    • pp.121-125
    • /
    • 2023
  • In winter, Jeju's Seogwipo and Jungmun areas are 2~3℃ warmer than Jeju City. The reason is that when the north wind over Halla Mountain crosses Baengnokdam of Halla Mountain and passes the 300m long and 260m vertical rock face of Donnaeko at an altitude of 1600m above sea level, the cold air turns into warm air through adiabatic compression, and the warmth rides on Donnaeko and flies to Seogwipo and Jungmun. Conversely, the south wind that rises over the sea in Seogwipo in the summer passes over Hallasan Mountain and passes 99 valleys before turning into a muggy, humid climate, making Jeju hot. In other words, it is because of The wind from Jeju City to Seogwipo-The Wind from Seogwipo to Jeju City.

A Study on Prediction of Road Freezing in Jeju (제주지역 도로결빙 예측에 관한 연구)

  • Lee, Young-Mi;Oh, Sang-Yul;Lee, Soo-Jeong
    • Journal of Environmental Science International
    • /
    • v.27 no.7
    • /
    • pp.531-541
    • /
    • 2018
  • Road freezing caused by snowfall during wintertime causes traffic congestion and many accidents. To prevent such problems, we developed, in this study, a system to predict road freezing based on weather forecast data and the freezing generation modules. The weather forecast data were obtained from a high-resolution model with 1 km resolution for Jeju Island from 00:00 KST on December 1, 2017, to 23:00 KST on February 28, 2018. The results of the weather forecast data show that index of agreement (IOA) temperature was higher than 0.85 at all points, and that for wind speed was higher than 0.7 except in Seogwipo city. In order to evaluate the results of the freezing predictions, we used model evaluation metrics obtained from a confusion matrix. These metrics revealed that, the Imacho module showed good performance in precision and accuracy and that the Karlsson module showed good performance in specificity and FP rate. In particular, Cohen's kappa value was shown to be excellent for both modules, demonstrating that the algorithm is reliable. The superiority of both the modules shows that the new system can prevent traffic problems related to road freezing in the Jeju area during wintertime.