• Atmosphere
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• v.25 no.3
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• pp.407-433
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• 2015

First half of my article focused on analyzing the current state of historical materials regarding weather and climate, and established a list of weather-related historical literature collection of Korea with which to make a lexical approach to the situations of all kinds of weather literature. It also put emphasis on gathering information and data of weather logs from journal-type historical records which were contained in 48 weather-related journals of Choseon period. The results of this research are expected to be useful for the activation of study in historical meteorology. The latter half of my research focused on analyzing various meteorological states of sunny, cloudy, rainy, snowy and frosty weather which were recorded in the official Annals of King Kojong (1864~1907). And it re-verified historical rainfall data of preceding researches of Wada Yuji (1917), Jung-Lim (1994), Jhun-Moon (1997). In result, different records were found between data of theirs and mine. It means that we have to analyze and reconstruct newly the meteorological data of the Annals of King Gojong and the Daily Records of Royal Sungjungwon (1623~1910) during the late Choseon period.

• Hwankyungkyoyuk
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• v.20 no.3
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• pp.89-101
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• 2007

The purpose of this study was to analysis natural disasters which can be applied environmental education for elementary students. For this study, the elementary society and science textbooks were selected. The results of this study are as follows. the society textbooks contain 2 units of the natural disaster in the 4th and 5th grades. In the science textbooks, 5 units of the natural disaster were showed in 3rd, 5th and 6th grades. The learning quantities were 4 hours in society textbooks and 7 hours in science textbooks. In society textbooks, the contents relating meteorological disasters were dominance. But the science textbooks were showed both meteorological and geological disasters. In aims of learning, while the society textbooks were focused as damages, prevention, counter-plan and restoring plan of the natural disaster, the science textbooks were emphasized damages. the photos in society textbooks, meteorological disasters were superiority in number; especially the flood and heavy rain were 76%. In science textbooks, the photos about earthquake were prominent as 40%. For activating environmental education in elementary school based on these results, it can be suggested that the effects of natural damage as tsunami and global warming should add to elementary textbooks. And the elementary teachers need to understand contents and photos relating environment problem in the elementary textbooks.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.38 no.1
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• pp.60-65
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• 1993

This experiment was conducted to understand the effects of climatic environment on the useful components in Angelicae gigantis radix. The variation of decursin contents in different seven cultivated regions and the relationship between decursin contents and meteorological factors were investigated. The appropriate analytical methods for decursin and decursinol angelate of Angelicae gigantis radix were HPLC method used normal phase column($\mu$-Porasil) and GC method. In different cultivated regions, the variation of decursin contents of Angelicae gigantis radix was relatively great, which were high with 4.86%, 4.75% in Bongwha, Yongcheon respectively and was low with 2.33% in Suwon. There was no significant relationship between decursin contents of Angelicae radix and meteorological factors during growing periods, but was negative correlation in average temperature and precipitation, and positive correlation in diurnal change of temperature, radiation and sunshine hours.

• Korean Journal of Agricultural and Forest Meteorology
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• v.7 no.3
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• pp.192-200
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• 2005

This study was conducted to investigate inorganic nutrient contents in spur leaf and shoot leaf of 'Niitaka' pear during the growing season and leaf inorganic nutrient contents as influenced by meteorological elements. The contents of N, P, K, and Mg were decreased in spur leaf during their vegetative growth, while Ca and Mn increased. The contents of N, P, K, Mg, and Fe showed no differences between spur leaf and shoot leaf. However Ca, Mn, Zn, and Cu contents were higher in spur leaf than those in shoot leaf, but B content was lower in spur leaf than those in shoot leaf. The content of N in shoot leaf was positively correlated with mean temperature, whereas negatively correlated with maximum temperature. The content of P in spur leaf was negatively correlated with maximum temperature. The content of Ca in spur leaf was negatively correlated with mean temperature, whereas positively correlated with maximum and minimum temperature. The contents of Mg and B in shoot and spur leaf were positively correlated with mean temperature, whereas negatively correlated with maximum and minimum temperature. The contents of Ca and Mn showed significant differences between spur leaf and shoot leaf at mid-July to early August. These results suggest that sampling is important to distinguish between spur leaf and shoot leaf for diagnosis of nutrient conditions in pear trees.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.101.1-101.1
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• 2011

National Meteorological Satellite Center(NMSC) of Korea Meteorological Administration(KMA) is collecting GNSS data in near-real time for about 80 GNSS stations operated by multiple agencies. (eg. National Geographic Information Institute (NGII), Korea Astronomy and Space Science Institute (KASI), DGNSS Central Office) Using these GNSS data, NMSC developed automatic Total Electron Contents(TEC) derivation system over the Korean peninsular every 1-hour based on single station data processing. We present the TEC result and validation of TEC using International GNSS Service(IGS) global TEC data for the case of quiet time and storm time. The future plans for the system improvement will be discussed.

• Journal of Bio-Environment Control
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• v.20 no.4
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• pp.290-296
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• 2011

In our study, oriental melon (Cucumis melo L. var makuwa Makino) was harvested in Seongju at major harvest time from June to August with the intervals of one month in 2009. In order to elucidate the effect of meteorological condition of harvest time on fruit quality and water-soluble vitamin contents of oriental melon, quality attributes including weight, hardness, and sugar were examined and water-soluble vitamin contents such as folic acid and vitamin C were analyzed. Fruit quality factors and water-soluble vitamin contents were the highest in June when rainfall was low and solar radiation was high. Meanwhile, both of them were the lowest in July when it was the worst weather condition for cultivation of oriental melon. After then, the contents of folic acid and vitamin C increased when the rainfall had decreased in Aug. The contents of both vitamins were much high in placenta than peel and flesh. In conclusion, the meteorological condition of the summer season by torrential rains and lack of solar radiation influence water-soluble vitamin contents, especially folic acid contents of oriental melon as well as quality attributes such as hardness and sugar.

• Journal of Korean Society for Atmospheric Environment
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• v.19 no.5
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• pp.595-610
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• 2003

The statistical indexes such as RMSE (Root Mean Square Error), Mean Bias error, and IOA (Index of agreement) are used to evaluate 3 Dimensional wind and temperature fields predicted by operational meteorological model RAMS (Regional Atmospheric Meteorological System) implemented in CARIS (Chemical Accident Response Information System) for the dispersion forecast of hazardous chemicals in case of the chemical accidents in Korea. The operational atmospheric model, RAMS in CARIS are designed to use GDAPS, GTS, and AWS meteorological data obtained from KMA (Korean Meteorological Administration) for the generation of 3-dimensional initial meteorological fields. The predicted meteorological variables such as wind speed, wind direction, temperature, and precipitation amount, during 19 ∼ 23, August 2002, are extracted at the nearest grid point to the meteorological monitoring sites, and validated against the observations located over the Korean peninsula. The results show that Mean bias and Root Mean Square Error are 0.9 (m/s), 1.85 (m/s) for wind speed at 10 m above the ground, respectively, and 1.45 ($^{\circ}C$), 2.82 ($^{\circ}C$) for surface temperature. Of particular interest is the distribution of forecasting error predicted by RAMS with respect to the altitude; relatively smaller error is found in the near-surface atmosphere for wind and temperature fields, while it grows larger as the altitude increases. Overall, some of the overpredictions in comparisons with the observations are detected for wind and temperature fields, whereas relatively small errors are found in the near-surface atmosphere. This discrepancies are partly attributed to the oversimplified spacing of soil, soil contents and initial temperature fields, suggesting some improvement could probably be gained if the sub-grid scale nature of moisture and temperature fields was taken into account. However, IOA values for the wind field (0.62) as well as temperature field (0.78) is greater than the 'good' value criteria (> 0.5) implied by other studies. The good value of IOA along with relatively small wind field error in the near surface atmosphere implies that, on the basis of current meteorological data for initial fields, RAMS has good potentials to be used as a operational meteorological model in predicting the urban or local scale 3-dimensional wind fields for the dispersion forecast in association with hazardous chemical releases in Korea.

• Atmosphere
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• v.30 no.3
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• pp.237-248
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• 2020

In order to effectively prepare for damage caused by weather events, it is important to proactively identify the possible impacts of weather phenomena on the domestic society and economy. Text mining and Network analysis are used in this paper to build a database of damage types and levels caused by heat wave. We collect news articles about heat wave from the SBS news website and determine the primary and secondary effects of that through network analysis. In addition to that, based on the frequency with which each impact keyword is mentioned, we estimate how much influence each factor has. As a result, the types of impacts caused by heat wave are efficiently derived. Among these types of impacts, we find that people in South Korea are mainly interested in algae and heat-related illness. Since this technique of analysis can be applied not only to news articles but also to social media contents, such as Twitter and Facebook, it is expected to be used as a useful tool for building weather impact databases.

• Atmosphere
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• v.20 no.2
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• pp.101-109
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• 2010

The service of health information was provided through internal and external weather agency web sites. The purpose of this study was to analyze current status of the weather agency web sites dealing with health information in the internet, and to evaluate their contents and technical aspects. The evaluation tool consisted of five area (appropriateness, accessibility, supportiveness, feedback, and continuance) with nineteen items. For the public confidence, web sites were limited to national meteorological administration and representative weather agencies. The evaluating web sites were fourteen from eight countries. The evaluation scores of fourteen web sites were 37.8 out of 53.0 in total. Each subcategory score were 5-12 out of 12 in appropriate, 4-12 out of 12 in accessibility, 4-10 out of 11 in supportiveness, 2-8 out of 9 in feedback, and 2-8 out of 9 in continuance. The score of feedback was the lowest. Survey results indicated that Korean Meteorological Administration homepage was middle status compared with the others in side of depth of health information and feedback from expert. Climate change affect human health, so it will be possible to prevent some disease at first through climate information. It should be developed to provide high quality health information and system related climate on KMA homepage.

• Atmosphere
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• v.29 no.4
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• pp.355-365
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• 2019

Based on in-situ monitoring data produced by National Institute of Meteorological Sciences, we evaluated the performance of Joint UK Land Environment Simulator (JULES) on the surface energy balance for rice-paddy and cropland in Korea with the operational ancillary data used for Unified Model (UM) Local Data Assimilation and Prediction System (LDAPS) (CTL) and the high-resolution ancillary data from external sources (EXP). For these experiments, we employed the one-year (March 2015~February 2016) observations of eddy-covariance fluxes and soil moisture contents from a double-cropping rice-paddy in BoSeong and a cropland in AnDong. On the rice-paddy site the model performed better in the CTL experiment except for the sensible heat flux, and the latent heat flux was underestimated in both of experiments which can be inferred that the model represents flood-irrigated surface poorly. On the cropland site the model performance of the EXP experiment was worse than that of CTL experiment related to unrealistic surface type fractions. The pattern of the modeled soil moisture was similar to the observation but more variable in time. Our results shed a light on that 1) the improvement of land scheme for the flood-irrigated rice-paddy and 2) the construction of appropriate high-resolution ancillary data should be considered in the future research.