Estimation on the Distribution Function for Coastal Air Temperature Data in Korean Coasts

摘要

Water temperature due to climate change can be estimated using the air temperature because the air and water temperatures are closely related and the water temperatures have been widely used as the indicators of the environmental and ecological changes.It is highly necessary to estimate the frequency distribution of the air and water temperatures,for the climate change derives the change of the coastal water temperatures.In this study,the distribution function of the air temperatures is estimated by using the long-term coastal air temperature data sets in Korea.The candidate distribution function is the bi-modal distribution function used in the previous studies,such as Cho et al.(2003) on tidal elevation data and Jeong et al.(2013) on the coastal water temperature data.The parameters of the function are optimally estimated based on the least square method.It shows that the optimal parameters are highly correlated to the basic statistical informations,such as mean,standard deviation,and skewness coefficient.The RMS error of the parameter estimation using statistical information ranges is about 5 .In addition,the bimodal distribution fits good to the overall frequency pattern of the air temperature.However,it can be regarded as the limitations that the distribution shows some mismatch with the rapid decreasing pattern in the high-temperature region and the some small peaks.