• Atmosphere
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• v.32 no.4
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• pp.367-379
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• 2022

In this paper, the evaluation of the performance of Korea Meteorological Administratio (KMA) Global Seasonal forecasting system version 6 (GloSea6) is presented by assessing the effects of larger ensemble size and carrying out the test using different initial conditions for hindcast in sub-seasonal to seasonal scales. The number of ensemble members increases from 3 to 7. The Ratio of Predictable Components (RPC) approaches the appropriate signal magnitude with increase of ensemble size. The improvement of annual variability is shown for all basic variables mainly in mid-high latitude. Over the East Asia region, there are enhancements especially in 500 hPa geopotential height and 850 hPa wind fields. It reveals possibility to improve the performance of East Asian monsoon. Also, the reliability tends to become better as the ensemble size increases in summer than winter. To assess the effects of using different initial conditions, the area-mean values of normalized bias and correlation coefficients are compared for each basic variable for hindcast according to the four initial dates. The results have better performance when the initial date closest to the forecasting time is used in summer. On the seasonal scale, it is better to use four initial dates, where the maximum size of the ensemble increases to 672, mainly in winter. As the use of larger ensemble size, therefore, it is most efficient to use two initial dates for 60-days prediction and four initial dates for 6-months prediction, similar to the current Time-Lagged ensemble method.

• Journal of the Korean earth science society
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• v.43 no.1
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• pp.210-223
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• 2022

This study explores the criteria of climate change model evaluation by preservice Earth science teachers. The participants in this study were 25 preservice Earth science teachers who attended lectures on modeling-based science learning for 3 weeks in an Earth science education major course. The evaluation criteria of climate change models were categorized inductively using reports written by preservice Earth science teachers and post-interviews. The results showed that preservice Earth science teachers used various epistemic and communicative criteria to evaluate climate change models. Implications for modeling-based climate-change learning were suggested based on these results.

• Journal of Environmental Impact Assessment
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• v.24 no.3
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• pp.260-277
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• 2015

The object of this study was the climate change sensitivity assessment of Korean Fir and Khinghan Fir as a representative subalpine plant in South Korea. Using species distribution models, we predicted the probability of current and future species distribution. According to this study, potential distribution that have been predicted based on the threshold (MTSS) is, Khinghan Fir was higher loss rate than Korean Fir. And in the climate change sensitivity assessment using the scalar sensitivity weight ($W_{is}$), $W_{is}$ of Korean Fir was higher relatively than the sensitivity of Khinghan Fir. When using the species distribution models as shown in this study may vary depending on the probability of presence data and spatial variables. Therefore should be prior decision studies on the ecological environment of the study species. Based on this study, if it is domestic applicable climate change sensitivity assessment method is developed. it would be important decision-making to climate change and biological diversity of adaptation policy.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.2
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• pp.125-138
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• 2016

Currently, there is increasing demand for weather information, however, providing meteorology and climate information is limited. In order to improve them, supporting the meteorology and climate big data platform use and training the meteorology and climate big data specialist who meet the needs of government, public agencies and corporate, are required. Meteorology and climate big data requires high-value usable service in variety fields, and it should be provided personalized service of industry-specific type for the service extension and new content development. To provide personalized service, it is essential to build the collaboration ecosystem at the national level. Building the collaboration ecosystem environment, convergence of marine policy and climate policy, convergence of oceanography and meteorology and convergence of R&D basic research and applied research are required. Since then, demand analysis, production sharing information, unification are able to build the collaboration ecosystem.

• Journal of Korea Water Resources Association
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• v.51 no.4
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• pp.355-369
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• 2018

The runoff will be changed in the future due to climate change, and this phenomenon affects the flood inflow to Water Resources Facilities (WRF) and its production. This study has evaluated the electric power generation of WRF in North Korea as climate change. The WRF can produce the electric power by rotating the hydraulic turbine using the energy of water. In other words, it converts the potential energy to the kinetic energy, then the kinetic energy to the electric energy. As a result of this study, the amount of power generation of WRF in North Korea decreased from 2011 to 2040, and increased from 2041 to 2100, comparing with present. In other words, the productivity will decrease at first (2011~2040) but increase (2041~2100). It is because there will be new facilities for climate change, and the capacities of them will be getting far better than the existing facilities. The existing North Korean WRFs are vulnerable to the effects of climate change, and it is judged that the new North Korean WRFs are advantageously located in the influence of climate change.

• Journal of Climate Change Research
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• v.5 no.4
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• pp.367-374
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• 2014

The monthly mean air temperature datasets of 61 stations in South Korea from 1973 to 2012 were collected to calculate trends in the warmth index (WI) and to analyze the potential enlargement of safety cultivation limit for sweet persimmon. The WI averaged over the last 40 years was 104.1 (℃·Month) at 61 stations, with the highest at Seogwipo station (WI=137.9) and the lowest at Daegwallyeong station (WI=60.9). It has increased by 1.8 (℃·Month) per 10 years over the last 40 years, with the highest in the year 1994 (WI=112.0) and the lowest in the year 1976 (WI=94.7). When the possible stations for sweet persimmon cultivation were classified by the basis on WI≥100, 38 out of the 61 weather stations were included in the safety cultivation zone for sweet persimmon for the last 40 years. On the other hand, the number of weather stations within the safety cultivation zones for sweet persimmon for the last 10 years (from 2003 to 2012) were 47 by adding additional 9 stations (Socho, Wonju, Chungju, Seosan, Uljin, Yangpyeong, Icheon, Cheonan, and Geochang stations). A further study of the climate conditions and soil characteristics is required for a better assessment of the safety cultivation zones for sweet persimmon.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.358-358
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• 2011

수자원 관리 및 평가를 위하여 수자원, 환경 및 경제 자료들을 지표화 하여 이를 평가하는 연구가 활발히 진행중에 있다. 이는 수자원 관리를 위한 여러 가지 조건들을 통합하여 하나의 지표로 만들어 평가함으로써 객관적인 값을 도출할 수 있게된다. 또한 최근에는 기후변화가 심해짐에 따라 미래 수자원관리에 대한 중요성이 배가 되어가고 있는 실정이다. 기후변화는 지구상의 모든 물리적 및 생물학적 변동에 영향을 미치는 것으로 오늘날 인정되고 있으며(Sullivan and Huntingford, 2009), 현재 기후변화를 고려한 통합수자원관리지표의 개발도 국외에서는 활발히 진행중에 있다. 이에 본 연구에서는 물 부문 정책, 투자 및 적용에 대한 우선순위를 결정하는데 도움이 되며 국외에서 개발된 CVI(Climate Vulnerability Index, 기후취약성지수)에 대하여 분석을 실시하였다.

• Journal of the Korean Geographical Society
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• v.47 no.3
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• pp.459-470
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• 2012

This study attempts to estimate the economic effects of extreme climate events on agriculture with the case of Gangwon-do, drawing upon the Ricardian approach based upon the panel data on extreme climate events, soil and geography, farmland prices, and economic and social variables for the 11 municipal units of Gangwon-do during the period of 1993-2010. Our empirical analysis shows that the heavy rainfall-related extreme climate variable negatively affects the prices of rice paddy and dry farm field. The summer-related extreme temperature variables have negative economic impacts on the land values of both farmlands, while the winter-related ones positively affect them except for the extreme cold wave variable.

• Journal of Environmental Impact Assessment
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• v.27 no.4
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• pp.345-352
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• 2018

In order to establish mainstreaming of climate change adaptation in policy, plan, program or project, we set up three kinds of implementation methods. The first is preparation of new law(tentatively called "Act on Climate Change Response") and independent implementation, the second is preparation of new law and two kinds of implementation in existing Environmental Impact Assessment system, and the third is integrated assessment in Environmental Impact Assessment system without new legal base. And we analyzed merits and demerits of suggested schemes, and specific contents of each method. Furthermore, we suggested overview of contents of new law and revised Environmental Impact Assessment law and related regulations.

• Particle and aerosol research
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• v.17 no.2
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• pp.29-36
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• 2021

In this study, the clean air delivery rate (CADR) of ceiling air circulator (CAA) was determined under indoor environmental simulation conditions. An air filter was used to provide air cleaning ability to the CAA. The CADR of filter adapted CAA was evaluated and compared with the value of commercial air purifier. The installation of mesh-shaped filter on the CAA showed particle reduction effect on the particles over 0.4 ㎛ in diameter, but the CADR was up to 0.25 m³/min. When the filter having 99.9% in collection efficiency was installed on the CAA, its CADR was 1.52 m³/min, while the CADR of commercial air purifier was 3.19 m³/min.