Estimation of the Periodic Extremes of Minimum Air Temperature Using January Mean of Daily Minimum Air Temperature in Korea
This study was conducted to develop a practical method for estimating the extremes of minimum air temperature with given return-period based on the frequency distribution of daily minimum air temperature in January. Daily temperature data were collected from 61 meteorological observatories country-w...
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Published in | Korean Journal of Agricultural and Forest Meteorology Vol. 14; no. 4 |
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Main Authors | , , , |
Format | Journal Article |
Language | Korean |
Published |
01.12.2012
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Subjects | |
Online Access | Get more information |
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Summary: | This study was conducted to develop a practical method for estimating the extremes of minimum air temperature with given return-period based on the frequency distribution of daily minimum air temperature in January. Daily temperature data were collected from 61 meteorological observatories country-wide from 1961 to 2010. Most of daily minimum temperature in January could be represented by a normal-distribution, so it is possible to predict stochastically the lowest temperature by the mean and standard deviation. We developed a quadratic function to estimate standard deviation in terms of daily minimum temperature in January. Also, we introduced a coefficient which can be used to predict an extreme of minimum temperature with mean and standard deviation, and is dependent on return-periods. Using this method, we were able to reproduce the past 30-year extremes with an error of 1.1 on average and 5.3 in the worst case. |
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Bibliography: | P40 |
ISSN: | 1229-5671 |