• Journal of Korean Society of Coastal and Ocean Engineers
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• v.23 no.3
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• pp.236-247
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• 2011

This study investigates sea level (SL) rise due to global warming in the Northwestern Pacific (NWP) and Seas around the Korean peninsula (KP) using outputs of IPCC AR4 climate models. Particularly, components of the SL rise induced by a local steric effect, which was not considered in most climate models, were computed using model-projected 3-dimensional temperature and salinity data. Analysis of the SL data shows that the ratio of the SL rise in the NWP and KP was about two times higher than that in global mean and particularly the ratio in the Kuroshio extension region was the highest. The SL rises over 100 years estimated from MPI_ECHAM5 and GFDL_CM2.1 model by A1B scenario considering the thermosteric effect were 24 cm and 28 cm for the NWP and 27 cm and 31 cm for the Seas around the KP, respectively. Statistical analysis reveals that these SL rises are caused by the weakening of the Siberian High in winter as well as variations of pressure system in the NWP and by the resultant change of water temperature. It also found that the highest SL rise in the Kuroshio extension region of the NWP was connected with the large increase of water temperature in this area.

• Journal of The Korean Society of Grassland and Forage Science
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• v.21 no.3
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• pp.115-122
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• 2001

The purpose of this study was to suggest the possibility of utilizing the wildflower pasture as the livestock herbage sources as well as promoting the public interests. Not only dry matter (DM) yield and soil properties of pastures were observed, but also chemical composition of herbages was analyzed. The experimental design includes four treatments: Conventional pasture(COP, forage 6 species), Bottomgrass pasture(BOP, turf grass 6 species), Native wildflower pasture(NWP, turf grass 6 species + native wildflower 11 species) and Introduced wildflower pasture(IWP, turf grass 6 species + introduced wildflower 9 species). The field trials were carried out on the experimental pasture plots at Chungnam National University throughout from 1997 to 2000. The results obtained are as follows : 1. As wildflower pasture was composed of turf grasses and wildflowers, the yearly mean of DM yield in the wildflower pastures (NWP 6,688kg/ha and IWP 7,240kg/ha) was lower than that of COP(8,592kg/ha) or BOP(7,264kg/ha)(p<0.05). This result indicated that the forage productivity of wildflower pasture for livestock is low. 2. The nutritive quality of herbages from wildflower pasture tended to be slightly low compared to that of COP and BOP. On the other hand, compared with IWP, the content of CP, NDF and lignin of herbages from NWP were lower than those from IWP, while IVDMD was higher(p<0.05). 3. The pH and the content of exchangeable Ca in NWP and IWP soils were tended to be low compared to those of COP in changes of soil properties after 3-years experimental trials, while the contents of organic matter, nitrogen, available phosphate, Mg and K were slightly improved. In conclusion, even though DM yield seem to be lower in wildflower pasture than those of COP, and the nutritive quality of herbages from wildflower pasture tended to be slightly low compared to that of COP and BOP. but, possibility of utilizing herbages from wildflower pasture for livestock was to some extent expected. In addition. compared to COP, wildflower pastures improved the property of soil. Thus, although wildflower pasture was not enough for livestock as a herbage, wildflower pasture has enough possibility for promoting the public interest.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.17 no.1
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• pp.17-23
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• 2009

The purpose of this study is possibility of the heavy rainfall prediction using instability index. The convective instability index using this study is Convective Available Potential Energy(CAPE) concerned the growth energy of the storm, Bulk Richardson Number(BRN) concerned the type and strength of the storm, and Sotrm Relative Helicity(SRH) concerned maintenance of the storm. To verify the instability index, the simulation of heavy rainfall case experiment by Numerical Weather Prediction(NWP) model(MM5) are designed. The results of this study summarized that the heavy rainfall related to the high instability index and the proper combination of one more instability index made the higher heavy rainfall prediction.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.194-194
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• 2017

Flooding is one of the most serious and frequently occurred natural disaster at many regions around the world. Especially, under the climate change impact, it is more and more increasingly trend. To reduce the flood damage, flood forecast and its accuracy analysis are required. This study is conducted to analyze the accuracy of the real-time flood forecasting of a coupled meteo-hydrological model for the Han River basin, South Korea. The LDAPS (Local Data Assimilation and Prediction System) products with the spatial resolution of 1.5km and lead time of 36 hours are extracted and used as inputs for the SURR (Sejong University Rainfall-Runoff) model. Three statistical criteria consisting of CC (Corelation Coefficient), RMSE (Root Mean Square Error) and ME (Model Efficiency) are used to evaluate the performance of this couple. The results are expected that the accuracy of the flood forecasting reduces following the increase of lead time corresponding to the accuracy reduction of LDAPS rainfall. Further study is planed to improve the accuracy of the real-time flood forecasting.

• Atmosphere
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• v.15 no.1
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• pp.35-46
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• 2005

Today, the outreach of National Meteorological Service such as PC cluster based Numerical Weather Prediction (NWP) technique is vigorous in the world wide. In this regard, WMO (World Meteorological Organization) asked KMA (Korea Meteorological Administration) to formulate a regional project, which cover most of RA II members, using similar technical system with KMA's. In that sense, Meteorological Research Institute (METRI) in KMA developed Mongolian NWP System (MNWPS) based on PC cluster and transferred the technology to Weather Service Center in Mongolia. The hybrid parallel algorithm and channel bonding technique were adopted to cut cost and showed 41% faster performance than single MPI (Message Passing Interface) approach. The cluster technique of Beowulf type was also adopted for convenient management and saving resources. The Linux based free operating system provide very cost effective solution for operating multi-nodes. Additionally, the GNU software provide many tools, utilities and applications for construction and management of a cluster. A flash flood event happened in Mongolia (2 September 2003) was selected for test run, and MNWPS successfully simulated the event with initial and boundary condition from Global Data Assimilation and Prediction System (GDAPS) of KMA. Now, the cluster based NWP System in Mongolia has been operated for local prediction around the region and provided various auxiliary charts.

• Atmosphere
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• v.25 no.1
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• pp.67-83
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• 2015

Predicting the location and intensity of precipitation still remains a main issue in numerical weather prediction (NWP). Resolution is a very important component of precipitation forecasts in NWP. Compared with a lower resolution model, a higher resolution model can predict small scale (i.e., storm scale) precipitation and depict convection structures more precisely. In addition, an ensemble technique can be used to improve the precipitation forecast because it can estimate uncertainties associated with forecasts. Therefore, NWP using both a higher resolution model and ensemble technique is expected to represent inherent uncertainties of convective scale motion better and lead to improved forecasts. In this study, the limited area ensemble prediction system for the convective-scale (i.e., high resolution) operational Unified Model (UM) in Korea Meteorological Administration (KMA) was developed and evaluated for the ensemble forecasts during August 2012. The model domain covers the limited area over the Korean Peninsula. The high resolution limited area ensemble prediction system developed showed good skill in predicting precipitation, wind, and temperature at the surface as well as meteorological variables at 500 and 850 hPa. To investigate which combination of horizontal resolution and ensemble member is most skillful, the system was run with three different horizontal resolutions (1.5, 2, and 3 km) and ensemble members (8, 12, and 16), and the forecasts from the experiments were evaluated. To assess the quantitative precipitation forecast (QPF) skill of the system, the precipitation forecasts for two heavy rainfall cases during the study period were analyzed using the Fractions Skill Score (FSS) and Probability Matching (PM) method. The PM method was effective in representing the intensity of precipitation and the FSS was effective in verifying the precipitation forecast for the high resolution limited area ensemble prediction system in KMA.

• Journal of Astronomy and Space Sciences
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• v.24 no.4
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• pp.285-296
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• 2007

The Precipitable Water Vapor (PWV) from GPS with high resolution in terms of time and space might reduce the limitations of the numerical weather prediction (NWP) model for easily variable phenomena, such as precipitation and cloud. We have converted to PWV from Global Positioning System (GPS) data of Korea Astronomy and Space Science Institute (KASI) and Ministry of Maritime Affairs & Fisheries (MOMAF). First of all, we have selected the heavy rainfall case of having a predictability limitation in time and space due to small-scale motion. In order to evaluate the effect for GPS PWV, we have executed the sensitivity experiment with PWV from GPS data over Korean peninsula in the Weather Research & Forecasting 3-Dimensional Variational (WRF-3DVAR). We have also suggested the direction of further research for an improvement of the predictability of NWP model on the basis of this case.

• Journal of The Korean Society of Grassland and Forage Science
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• v.21 no.4
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• pp.233-246
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• 2001

The purpose of this study was to suggest the possibility of utilizing the wildflower pasture for promoting public interest. Growth characteristics, botanical composition, fauna distribution on wildflower pastures were observed. The experimental design included two treatments: native wildflower pasture(NWP, turf grasses 6 species + native wildflower 11 species) and introduced wildflower pasture(lWP, turf grasses 6 species + introduced wildflower 9 species). The field trials were carried out on the experimental pasture plots at Chungnam National University from 1997 to 2000. The results obtained are as follows: 1. The flowering of wildflower was maintained continuously from May to September, and the colors of wildflowers; varied seasonally during this period. With native flowers, however, Hemerocallis fulva, Belamcanda chinenis and Aster koraiensisi showed problems in lately germination and early establishment. Meanwhile, Introduced wildflower showed not only excellent germination and early establishment compared to native flowers species but also maintained brighter colors. But Coreopsis tinctoria, Achillea mi/lefolium and Rudbeckia bicolor had colonized at a higher height or possessed stronger rhizome. 2. The appropriate species of turf grass which maintained continuous seasonal distribution are thought to be tall fescue, perennial ryegrass. Kentucky bluegrass in NWP and IWP. 3. Botanical composition of wild flower in NWP was arranged in the order of Achillea sibirica > Lotus corniculatus var. Japonicus > Dianthus chinensis > Plantago asiatica > Taraxacum pla~ycarpum > Viola mandshurica > Aster koraiensis > Vicia tetasperma > Lespedeza stipulacea > Hemerocallis fulva, respectively. The highest seasonal distribution of native wildflower, Achillea sibirica was in spring and summer, Lotus corniculatus var. Japonicus was in autumn. Botanical composition of wild flower in IWP was arranged in the order of Achillea millefolium Coreopsis tinctoria > Silene armeria > Coreopsis lanceolata > Rudbeckia bicolor > Sanguisorba oficinalis > Centaurea cyanus > Chrysanthemum leucanthemum > Dianthus petraeus, respectively. The highest seasonal distribution of introduced wildflower, Silene armeria was in spring, Achillea millefolium was in summer, and Coreopsis tinctoria was in autumn.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.3
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• pp.403-412
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• 2018

In this study, a three-dimensional variational(3DVAR) data assimilation system was developed for the operational numerical weather prediction(NWP) system at the Republic of Korea Air Force Weather Group. The Air Force NWP system utilizes the Weather Research and Forecasting(WRF) meso-scale regional model to provide weather information for the military service. Thus, the data assimilation system was developed based on the WRF model. Experiments were conducted to identify the nested model domain to assimilate observations and the period appropriate in estimating the background error covariance(BEC) in 3DVAR. The assimilation of observations in domain 2 is beneficial to improve 24-h forecasts in domain 3. The 24-h forecast performance does not change much depending on the estimation period of the BEC in 3DVAR. The results of this study provide a basis to establish the operational data assimilation system for the Republic of Korea Air Force Weather Group.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1021-1023
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• 2003

Atmospheric water vapor is a key variable in numerical weather prediction (NWP) models, but it is a crucial factor to limit the accuracy of high-precision GPS positioning technique. For both issues, knowledge about the amount of water vapor is extremely important. In this study, we perform a simulation study to utilize GPS signals through a developed tomographic scheme to retrieve 3D structure of atmospheric wet refractivity, which may be assimilated into NWP models for advancing forecasting or position calculation for improving GPS positioning accuracy. For the purpose of knowing the absolute accuracy of the developed tomographic method, a well-defined temporal and spatial varying state of atmospheric profile is utilized. Under such circumstance, several factors that may influence the retrievals can be easily examined and their impacts may be clearly quantified. They include the values of the positional dilution of precision (PDOP) factors of the GPS signals, ... etc. Based upon the use of a variety spectrum of adjustable factors, many interesting findings are obtained. For example, the more is the number of the observed GPS signals the better becomes the retrievals as expected. Also, the smaller is the PDOP value the better becomes the retrievals.