• Atmosphere
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• v.33 no.4
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• pp.355-365
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• 2023

To proactively manage climate risk, near-term climate predictions on annual to decadal time scales are of great interest to various communities. This study evaluates the near-term climate prediction skills in East Asia with DePreSys4 retrospective decadal predictions. The model is initialized every November from 1960 to 2020, consisting of 61 initializations with ten ensemble members. The prediction skill is quantitatively evaluated using the deterministic and probabilistic metrics, particularly for annual mean near-surface temperature, land precipitation, and sea level pressure. The near-term climate predictions for May~September and November~March averages over the five years are also assessed. DePreSys4 successfully predicts the annual mean and the five-year mean near-surface temperatures in East Asia, as the long-term trend sourced from external radiative forcing is well reproduced. However, land precipitation predictions are statistically significant only in very limited sporadic regions. The sea level pressure predictions also show statistically significant skills only over the ocean due to the failure of predicting a long-term trend over the land.

• Journal of Korean Academy of Nursing Administration
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• v.6 no.2
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• pp.227-243
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• 2000

The purpose of this study was to identify the relationship between nursing organizational climate and job satisfaction of nurses in general hospitals and also the factors which had influences in the nursing organizational climate and job satisfaction of nurses. Data were collected from 200 nursing managers and 800 nurses with structured questionnaires at 11 general hospitals in Taegu and Kyungbuk-area, from June 1 to June 30, 1999. Data were analyed with SPSS 7.5 using program such as t-test, ANOVA and stepwise multiple regression. The results were as follows: 1) In the nursing organizational climate there were significant differences by age(F=9.246, p=.000), religion(f=5.658, p=.001), educational level(F=4.660, p=.010), position(F=27.016, p=.000), and the total length of service(F=7.274, p=.000). Also there were significant differences by subsidiary school(F=11.224, p=.000), the number of beds(F=9.893, p=.000), the number of nurses(F=6.365, p=.000), and kind of medical agency(F=5.251, p=.000) in the hospitals. 2) In the nurses' job satisfaction there were significant differences by age(f=11.528, p=.000), religion(F=3.003, p=.000), position(F=22.485, p=.000), career the department of the present service(F=5.157, p=.000), total career of service(F=9.243, p=.000), and salary(F=5.507, p=.000). Also there were significant differences by religious background(F=4.779, p=.009), subsidiary school(F=7.039, p=.000), the number of beds(F=7.039, p=.000), and kind of medical agency(F=2.778, p=.006) in the hospitals 3) There was significant correlation between nursing organizational climate and job satisfaction of nurses(r=.686). 4) The nursing organizational climate was explained 21.8% by salary 9.5%, position 7.4%, religious background of hospital 4.1%, and subsidiary school of hospital 0.8%. 5) The nurses' job satisfaction was explained 70.9% by nursing organizational climate 46.7%, salary 21.9%, kind of medical agency 1.4%, position 0.3%, religious background of hospital 0.3%, religion 0.3%.

• Atmosphere
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• v.20 no.1
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• pp.27-35
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• 2010

This study analyzes the climate change in Korea and its impact on the occurrence of forest fire events. The forest fire occurrences in Korea tend to concentrate around large cities. In addition, the spatial distribution of the forest fire occurrence seems to agree with local climate conditions. Though the occurrence of the forest fire shows strong interannual variation, it also exhibits a positive trend. Because the forest fire frequently occurs during early spring, we examined long term climate variability in Korea for the early spring seasons. The climate change in Korea generally has brought warmer, drier, and less precipitable conditions during the early spring. The changes of the atmospheric conditions provide favorable condition for the forest fire. The climate changes in Korea also depict distinct spatial variability according to the atmospheric variables. We compared the regional trend of the fire occurrence with the climate trends. The results show the sharpest growing in the forest fire occurrence over southwest of Korea. This study suggests that the decrease in the precipitation day might affect the sharp increasement of the forest fire occurrence in the southwest of Korea.

• Journal of Climate Change Research
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• v.2 no.4
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• pp.221-235
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• 2011

This study summarizes previous studies on the climate change over Korea. Several studies on climate change in the neighboring countries as well as the entire globe are reviewed. Temperature data obtained from modern observational system show an increasing trend beyond the natural variations. The increasing rate of sea surface temperature (SST) over the ocean basins surrounding Korea is higher than that of the global-mean SST. The large increase in the SST over the oceans surrounding Korea may enhance tropical cyclone activity and heavy rainfall frequency in Korea. In addition, it has been reported that the changes in large scale circulation associated with global climate change influence the spatio-temporal variation of monsoon including Changma in summer and cold surges in winter. Although all researches on the subject were not fully discussed in this study due to short period of preparation, allowed pages, and authors' limited knowledge, we expect that this summarized reviews would be helpful to understand climate changes over Korea and the surrounding regions.

• Journal of Yeungnam Medical Science
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• v.36 no.3
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• pp.241-248
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• 2019

Background: Heatstroke is one of the most serious heat-related illnesses. However, establishing public policies to prevent heatstroke remains a challenge. This study aimed to investigate the most relevant climate elements and their warning criteria to prevent outdoor heatstroke (OHS). Methods: We investigated heatstroke patients from five major hospitals in Daegu metropolitan city, Korea, from June 1 to August 31, 2011 to 2016. We also collected the corresponding regional climate data from Korea Meteorological Administration. We analyzed the relationship between the climate elements and OHS occurrence by logistic regression. Results: Of 70 patients who had heatstroke, 45 (64.3%) experienced it while outdoors. Considering all climate elements, only mean heat index (MHI) was related with OHS occurrence (p=0.019). Therefore, the higher the MHI, the higher the risk for OHS (adjusted odds ratio, 1.824; 95% confidence interval, 1.102-3.017). The most suitable cutoff point for MHI by Youden's index was $30.0^{\circ}C$ (sensitivity, 77.4%; specificity, 73.7%). Conclusion: Among the climate elements, MHI was significantly associated with OHS occurrence. The optimal MHI cutoff point for OHS prevention was $30.0^{\circ}C$.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.1
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• pp.87-102
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• 2023

The purpose of this study is to propose an analytical framework for the essential contents that must be included in a climate change education program for elementary school students based on community issues, which can be used by citizen instructors in the community. To develop the analytical framework, 24 climate environmental education specialists were consulted seven times. The content validity of the final analysis framework was statistically verified using I-CVI and S-CVI coefficients, and the reliability of the expert panel was verified using Fleiss' Kappa coefficient. The final analysis framework consists of three analytical areas (program objectives, program content, program evaluation), seven analysis items, seven analysis indicators, and detailed explanations of the analysis indicators. In particular, by adding detailed explanations for the analysis indicators, the content validity and reliability were increased, and the objective nature of the analysis framework was firmly established. It is expected that the proposed analytical framework for a community-based climate change education program for elementary school students in this study will contribute to the systematic development of the program by citizen instructors.

• Water Engineering Research
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• v.1 no.4
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• pp.267-277
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• 2000

This study reports an examination of the sensitivity of water resources in the Keum River basin to climate change. Assuming a doubling in $CO_2$ concentrations, a cooperative study provided four climate change scenarios for this study, which have been translated into temperature and precipitation scenarios on a basin scale. The study utilized these temperature and precipitation data for each climate change scenario as inputs to the NWS-PC model to generate the corresponding streamflow scenario over the Keum River basin. A reservoir simulation model for the Dae-Chung Dam in the Keum River basin has been developed with an object-oriented simulation environment, STELLA. For each streamflow scenario, the performance of the reservoir was assessed in terms of reliability, resiliency, and vulnerability. Although the simulation results are heavily dependent on the choice of the climate change scenarios, the following conclusions can be clearly concluded: (1) the future streamflow over the Dae-Chung Dam tends to decease during the dry period, which seriously increases competitive water use issues and (2) flood control issues predominate under the $2CO_2$-High case.

• Journal of Climate Change Research
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• v.9 no.2
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• pp.171-179
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• 2018

The causal relationship between El Nino-Southern Oscillation (ENSO) and winter climate variability in Korea is tested by analyzing Korea Meteorological Administration Automatic Synoptic Observing System datasets for the past 59 years. Consistent with previous studies, positive phase of ENSO (El Nino) tends to cause warmer temperature and heavier precipitation in Korea in early winter with three-week lead time. This causality is quantified by performing Granger causality test. It turns out that ENSO explains an additional 9.25% of the variance of early-winter temperature anomalies in Korea, beyond that already provided by temperature itself. Likewise, 22.18% additional information is gained to explain early-winter precipitation variance by considering ENSO. This result, which differs from simple lead-lag correlation analysis, suggests that ENSO needs to be considered in predicting early-winter surface climate variability in Korea.

• Atmosphere
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• v.33 no.5
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• pp.505-517
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• 2023

This study investigates the impacts of carbon neutrality and air quality control policies on near-term climate change in East Asia, by examining three Shared Socioeconomic Pathways (SSPs) scenarios from five climate models. Specifically, low carbon and strong air quality control scenario (SSP1-1.9), high carbon and weak air quality control scenario (SSP3-7.0), and high carbon and strong air quality control scenario (SSP3-7.0-lowNTCF) are compared. For these scenarios, the near-term climate (2045-2054 average) changes are evaluated for surface air temperature (SAT), hot temperature extreme intensity (TXx), and hot temperature extreme frequency (TX90p). In all three scenarios, SAT, TXx, and TX90p are projected to increase in East Asia, while carbon neutrality reduces the increasing rate of SAT and hot temperature extremes. Air quality control strengthens the warming rate. These opposed mitigation effects are robustly forced in all model simulations. Nonetheless, the impact of carbon neutrality overcomes the impact of air quality control. These results suggest that fast carbon neutrality, more effective than an air quality control policy, is necessary to slowdown future warming trend in East Asia.

• Journal of the Korean Society of Child Welfare
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• no.26
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• pp.87-111
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• 2008

The purpose of this study is to evaluate the actual conditions of peer victimization and to examine how the various factors of school climate influence peer victimization. Analysis on the relationship between various school climate and peer victimization has not been yet dealt with in Korea. Participants in this study were middle school students chosen from 11 middle schools in Seoul, by convenience sampling. A total of 1,204 surveys were then analyzed. Methods for analysis included Frequencies, Descriptives, Pearson's Correlation, Hierarchical Regression. From the result of the analysis, the level of verbal violence came out to be a relatively high form of peer victimization. The hierarchical regression were conducted in two steps. The second model's descriptive variable was higher by 19.6% than the first model. The variables of interaction between teacher and student in peer violence(${\beta}=.130$), of school facility maintenance(${\beta}=.067$), of safety of school environment(${\beta}=.331$), and economic status and sex out of controlled variables were proved to be of significance, and those variables explained 23.0% of the entire model. Based on the results of this study, practical and effective policy solutions to improve the school climate better have been suggested.