Browse > Article
http://dx.doi.org/10.9765/KSCOE.2014.26.5.278

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

Jeong, Shin Taek (Department of Civil and Environmental Engineering, Wonkwang University)
Cho, Hongyeon (Marine Environments and Conservation Research Division, Korea Institute of Ocean Science and Technology)
Ko, Dong Hui (Department of Civil and Environmental Engineering, Wonkwang University)
Hwang, Jae Dong (Doosan Heavy Industries & Construction, Technology Strategy & Planning Team(Daejeon) Corporate R & D institute)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.26, no.5, 2014 , pp. 278-284 More about this Journal
Abstract
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.
Keywords
Bi-modal distribution; frequency distribution; air temperature; water temperature; climate change; environmental and ecological change indicators;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 Huang, Z-K. and Chau, K-W. (2008). A new Image Thresholding Method Based on the Gaussian Mixture Model, Applied Mathematics and Computation, 205(2), 899-907.   DOI   ScienceOn
2 Cho, H.Y. and Lee, K. (2012). Development of an air-water temperature relationship model to predict climate-induced future water temperature in estuaries, J. of Environmental Engineering - ASCE, 138(5), pp.570-577.   DOI
3 Cho, H.Y., Jeong, S.T., and Oh, Y.M., (2004). Estimation of Probability Density Function of Tidal Elevation Data, Journal of Korean Society of Coastal and Ocean Engineers, Vol.16, No.3, pp. 152-161(in Korean).   과학기술학회마을
4 Cho, H.Y., Jeong, S.T., Lee K.-H., and Kim, T.H., (2010). Analysis of the Mean and Standard Deviation due to the Change of the Probability Density Function on Tidal Elevation Data, Journal of Korean Society of Coastal and Ocean Engineers, Vol.22, No.4, pp. 279-285(in Korean).   과학기술학회마을
5 Grace, W. and Curran, E. (1993). A binormal model of frequency distributions of daily maximum temperature, Aust. Met. Mag., 42, 151-161.
6 Haldar, A. and Mahadevan, S., (2000). Probability, Reliability and Statistical Methods in Engineering Design, John-Wiley & Sons.
7 Intergovernmental Panel on Climate Change (IPCC). (2007). Climate change 2007: The physical science basis, Cambridge University Press, Cambridge, UK.
8 Jeong, S.T., Cho, H.Y., and Ko D.H., (2012). Development of the Inter-tidal Exposure Duration Formulae Using Tidal Harmonic Constants, Journal of Korean Society of Coastal and Ocean Engineers, Vol.24, No.5, pp. 319-325(in Korean).   과학기술학회마을   DOI
9 Jeong, S.T., Cho, H.Y., Kim, J.D., and Ko D.H., (2008). Estimation of Probability Density Function of Tidal Elevation Data using the Double Truncation Method, Journal of Korean Society of Coastal and Ocean Engineers, Vol.20, No.3, pp. 247-254 (in Korean).   과학기술학회마을
10 Jeong, S.T., Cho, H.Y., Ko D.H., Oh N.S. and Son K.-P., (2013). Estimation of Probability Distribution Functions for Water Temperature Data in Korean Coasts, Journal of Korean Society of Coastal and Ocean Engineers, Vol.25, No.1, pp. 11-19(in Korean).   과학기술학회마을   DOI
11 McCloy, J.M. and Dolan, R. (1973). Water-Air Temperature relationship along Coastal North Carolina, U.S.A., Geografiska Annaler: Series A, Physical Oceanography, 55(3), 117-121.   DOI
12 Ministry of Maritime Affairs and Fisheries (2005). Harbor and fishery design criteria (in Korean).
13 Ko D.H., Jeong, S.T., and Cho, H.Y., (2013). Statistical Characteristics of Hourly Tidal Levels around the Korean Peninsula, Journal of Korean Society of Coastal and Ocean Engineers, Vol.25, No.6, pp. 365-373.   과학기술학회마을   DOI
14 Korea Meteorological Administration (2014), Homepage http://www.kma.go.kr (in Korean).
15 Martinez, W.L., Martinez, A.R. and Solka, J.L.(2011). Exploratory Data Analysis with MATLAB, Chapter 9, Chapman & Hall/CRC.
16 Nese, J.M. (1994). Systematic biases in manual observations of daily maximum and minimum temperature, J. of Climate, 7, 834-842.   DOI
17 Racine, S.R. (2008). Nonparametric Econometrics: A Primer, Foundations and Trendsin Econometrics, 3(1), 1-88. (2011.5.27. http://socserv.mcmaster.ca /racine/ECO0301.pdf)
18 Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis, Monographs on Statistics and Applied Probability, Chapman & Hall.
19 Storch, H.v. and Zwiers, F. W. (1999). Statistical Analysis in Climate Research, Cambridge Univ. Press.