• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.1
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• pp.31-44
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• 2019

The main objective of this research is to develop a hydroclimate drought index (HCDI) using the gridded climate data inputs in a Variable Infiltration Capacity (VIC) modeling platform. Typical drought indices, including, Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and Self-calibrated Palmer Drought Severity Index (SC-PDSI) in South Korea are also used and compared. Inverse Distance Weighting (IDW) method is applied to create the gridded climate data from 56 ground weather stations using topographic information between weather stations and the respective grid cell ($12km{\times}12km$). R statistical software packages are used to visualize HCDI in Google Earth. Skill score (SS) are computed to evaluate the drought predictability based on water information derived from the observed reservoir storage and the ground weather stations. The study indicates that the proposed HCDI with the gridded climate data input is promising in the sense that it can help us to predict potential drought extents and to mitigate its impacts in a changing climate. The longer term drought prediction (e.g., 9 and 12 month) capability, in particular, shows higher SS so that it can be used for climate-driven future droughts.

• Journal of Forest and Environmental Science
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• v.28 no.2
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• pp.106-117
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• 2012

In an effort to analyze the impact of climate change, Gangwon provincial forest was divided into three sectors; forest ecology, forest disaster, and forest productivity and analysis of their current status from 2000 to 2009 and vulnerability assessment by climate change has been carried in this study. In case of vulnerability assessment, except for the forest ecology, forest disaster (forest fires and forest pests) and forest productivity sectors were analyzed in current status, the year of 2020, and 2050. It turned out that vulnerability of forest fires in the field of disaster would become worse and forest pests also would make more impact even though there is some variation in different areas. In case of the vulnerability of forest productivity there would be not a big difference in the future compared with current vulnerability. Systematic research on the sensitivity index used for vulnerability assessment is necessary since vulnerability assessment result greatly depends on the use of climate exposure index and adaptive capacity index.

• Journal of Plant Biology
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• v.4 no.2
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• pp.33-40
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• 1961

The moss flora and it's geoecological study were made on Mt. Odae which is situated in the easterm part(37$^{\circ}$43'N. Lat., 128$^{\circ}$30' E. Long) of Korea. The total number ofmosses collected on Mt. Odae in the autumn of 1960 is 50 species, 1 varieties and 1 subspecies, belonging to 23 families. For climate index, Warmth index and Humidity index were calculaterd on Mt. Odae. From the result, it was known that the climate of Mt. Odae is Humid temperate climate and that it's vegetation zone is Deciduous broad-leaf forest zone. Moss Quotient of this mountain is 1.21 and it indicates that the plant climate of Mt. Odae is Hemicryptophytic climate. The moss flora of this mountain was discussed from the pnytogeographical point of view. The flora consists of the following elements: Holarctic element : 20 species (38.5%) North Pacific element: 1 (1.9%) Cosmopolian element: 6 (11.6%) Tropical element: 1 (1.9%) East Asiatic element: 12 (23.05%) Korean-Japan element: 12 (23.05%) Coefficient of closeness was also calculated between the moss flora of Mt. Odae and that of Mt. Sulak and Mt. Kwanak. It was known, therefore, that the flora relation between Mt. Odae and the Mt. Sulak was closer than that between Mt. Odae and Mt. Kwanak.

• Journal of Climate Change Research
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• v.3 no.1
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• pp.13-24
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• 2012

CCGIS (Climate Change Adaptation Toolkit based on GIS) was developed to use as a tool for the climate change assessment and any relevant tasks involving climate change adaptation policy over Korean peninsula. The main objective of CCGIS is to facilitate an efficient and relevant information for the estimation of climate change vulnerability index by providing key information in the climate change adaptation process. In particular, the atmospheric modeling system implemented in CCGIS, which is composed of climate and meteorological numerical model and the atmospheric environmental models, were used as a tool to generate the climate and environmental IPCC SRES (A2, B1, A1B, A1T, A1FI, and A1 scenarios) climate data for the year of 2000, 2020, 2050, and 2100. This article introduces the components of CCGIS and describes its application to the Korean peninsula. Some examples of the CCGIS and its use for both climate change adaptation and estimation of vulnerability index applied to Korean provinces are presented and discussed here.

• Journal of the Korean Wood Science and Technology
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• v.42 no.6
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• pp.732-739
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• 2014

This research was performed to investigate the effect of recent climate changes on wood decay hazard index (Scheffer index) in Korea. The index was determined using a climate data of 58 different locations obtained from the website of Korea Meteorological Administration (KMA), and the wood decay hazard index was determined at the intervals of 10 years. Most of regions in Korea except Juju island showed wood decay hazard index values between 35 and 65, considered to be moderate decay hazard zones. But in recent 10 years (2003~2012), the wood decay hazard index was rapidly increased, resulting in showing many high decay hazard regions. The trend may be explained by the in crease of temperature and precipitation. The recent climate change of Korea turning into the weather of subtropical region may explain the increase of wood decay hazard index.

• Journal of Astronomy and Space Sciences
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• v.36 no.3
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• pp.149-157
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• 2019

In this study, we investigate the associations between the solar variability and teleconnection indices, which influence atmospheric circulation and subsequently, the spatial distribution of the global pressure system. A study of the link between the Sun and a large-scale mode of climate variability, which may indirectly affect the Earth's climate and weather, is crucial because the feedbacks of solar variability to an autogenic or internal process should be considered with due care. We have calculated the normalized cross-correlations of the total sunspot area, the total sunspot number, and the solar North-South asymmetry with teleconnection indices. We have found that the Southern Oscillation Index (SOI) index is anti-correlated with both solar activity and the solar North-South asymmetry, with a ~3-year lag. This finding not only agrees with the fact that El $Ni{\tilde{n}}o$ episodes are likely to occur around the solar maximum, but also explains why tropical cyclones occurring in the solar maximum periods and in El $Ni{\tilde{n}}o$ periods appear similar. Conversely, other teleconnection indices, such as the Arctic Oscillation (AO) index, the Antarctic Oscillation (AAO) index, and the Pacific-North American (PNA) index, are weakly or only slightly correlated with solar activity, which emphasizes that response of terrestrial climate and weather to solar variability are local in space. It is also found that correlations between teleconnection indices and solar activity are as good as correlations resulting from the teleconnection indices themselves.

• Atmosphere
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• v.27 no.2
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• pp.199-211
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• 2017

The cold surges over East Asia can be grouped to two types of the wave-train and the blocking. Recently, the observational study proposed new dynamical index to objectively identify cold surge types. In this study, the dynamical index is applied to the simulations of 10 climate models, which participate in the Coupled Model Intercomparison Project Phase 5 (CMIP5). Focusing on assessment of cold surge simulation, we discuss characteristic of the wave-train and blocking cold surges in the climate models. The wave-train index (WI) and the blocking index (BI) based on potential temperature anomalies at dynamical tropopause over the subarctic region, the northeast China, and the western North Pacific enable us to classify cold surges in the climate models into two types. The climate models well simulate the occurrence mechanism of the wave-train cold surges with vertical structure related to growing baroclinic wave. However, while the wave-train in the observation propagates in west-east direction across the Eurasia Continent, most of the models simulate the southeastward propagation of the wave-train originated from the Kara Sea. For the blocking cold surges, the general features in the climate models well follow those in the observation to show the dipole pattern of a barotropic high-latitude blocking and a baroclinic coastal trough, leading to the Arctic cold surges with the strong northerly wind originated from the Arctic Sea. In both of the observation and climate models, the blocking cold surges tend to be more intense and last longer compared to the wave-train type.

• Atmosphere
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• v.25 no.2
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• pp.323-337
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• 2015

This study explores the 6-month lead prediction skill of several climate indices that influence on East Asian climate in the GloSea5 hindcast experiment. Such indices include Nino3.4, Indian Ocean Diploe (IOD), Arctic Oscillation (AO), various summer and winter Asian monsoon indices. The model's prediction skill of these indices is evaluated by computing the anomaly correlation coefficient (ACC) and mean squared skill score (MSSS) for ensemble mean values over the period of 1996~2009. In general, climate indices that have low seasonal variability are predicted well. For example, in terms of ACC, Nino3.4 index is predicted well at least 6 months in advance. The IOD index is also well predicted in late summer and autumn. This contrasts with the prediction skill of AO index which shows essentially no skill beyond a few months except in February and August. Both summer and winter Asian monsoon indices are also poorly predicted. An exception is the Western North Pacific Monsoon (WNPM) index that exhibits a prediction skill up to 4- to 6-month lead time. However, when MSSS is considered, most climate indices, except Nino3.4 index, show a negligible prediction skill, indicating that conditional bias is significant in the model. These results are only weakly sensitive to the number of ensemble members.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.3
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• pp.785-794
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• 2014

Hydrologic responses in watershed are determined by complex interactions among climate, land use, soil and vegetation. In order to effectively investigate hydrologic response in watershed, one needs to analyze the characteristics of climate as well as other factors. In this study, the relative contribution of climate factors and watershed characteristics on hydrologic response is investigated by using hydrologic indexes such as the aridity index and the Horton index. From preliminary analysis, it is shown that the Horton index is proper in terms of classifying hydrologic responses in main natural watersheds of south Korea. While climate and watershed characteristics both contributes to hydrologic responses, the degree contributed from each factor is changed depending on annual climatic humid conditions. In dry conditions, the climate factor is the predominant influence on hydrologic responses. However, in wet conditions, the contribution of watershed characteristics on hydrologic responses is relatively increased.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.5
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• pp.959-961
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• 2011

Manure-based composts can have detrimental effects on the agricultural lands and crops if they are applied without proper stabilization process. Composting is well-known method for the stabilization of manure-based composts and the extent of composting could be examined by maturity test. Among various methods to examine compost maturity, the performances of two mechanical methods (Solvita and CoMMe-100) were examined and the test results were compared with seed germination test. The mechanical methods are considered to be simple and relatively objective. Also they are cost- and time-efficient. Ten commercially available composts collected in Korea were used for this study. Basically, the maturity determined with these mechanical methods was in good agreement with the seed germination test. However, it appeared that the index levels of compost maturity indicated more maturity by CoMMe-100 than Solvita for the same compost. The differences between maturity index levels determined by both methods were able to be minimized through extending the reaction time for CoMMe-100 and adjusting index level for maturity determination in the standard color chart.