• Communications for Statistical Applications and Methods
• /
• v.16 no.1
• /
• pp.41-50
• /
• 2009

Chain-linking is a method for aggregating volume measures which would improve the quality of estimates of economic growth over the present fixed base in Korea. There is a risk that choice of chain-linking techniques such annual overlap, one-quarter overlap or over-the-year overlap may create an artificial seasonality to the volume series. The empirical results on Korean GDP suggest that the use of the annual overlap is recommended. And conducting seasonal adjustment after chain-linking to produce the chain-linked seasonally adjusted GDP is more appropriated in Korea.

• The Korean Journal of Applied Statistics
• /
• v.29 no.1
• /
• pp.231-242
• /
• 2016

X-13-ARIMA (a popular time series analysis software) provides $3{\times}3$, $3{\times}5$, $3{\times}9$, $3{\times}15$ moving average filters for seasonal adjustment. However, there has been questions on their performance and the need for new filters is a constant topic due to Korean economic time series often containing higher irregularity and more various seasonality than other countries. In this study, two newly developed seasonal moving average filters, $3{\times}7$ and $3{\times}11$, are introduced. New filters were implemented in X-13-ARIMA and applied to 15 economic time series to demonstrate their suitability and reliability. The result shows that some series are more stable when using new seasonal moving average filters. More accurate time series analyses would be possible if newly proposed filters are used together with existing filters.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
• /
• v.27 no.2
• /
• pp.49-70
• /
• 2022

Sea Surface Temperature (SST), one of the ocean features, has a significant impact on climate, marine ecosystem and human activities. Therefore, SST prediction has been always an important issue. Recently, deep learning has drawn much attentions, since it can predict SST by training past SST patterns. Compared to the numerical simulations, deep learning model is highly efficient, since it can estimate nonlinear relationships between input data. With the recent development of Graphics Processing Unit (GPU) in computer, large amounts of data can be calculated repeatedly and rapidly. In this study, Short-term SST will be predicted through Convolutional Neural Network (CNN)-based U-Net that can handle spatiotemporal data concurrently and overcome the drawbacks of previously existing deep learning-based models. The SST prediction performance depends on the seasonal and interannual SST variabilities around the southern coast of Korea. The predicted SST has a wide range of variance during spring and summer, while it has small range of variance during fall and winter. A wide range of variance also has a significant correlation with the change of the Pacific Decadal Oscillation (PDO) index. These results are found to be affected by the intensity of the seasonal and PDO-related interannual SST fronts and their intensity variations along the southern Korean seas. This study implies that the SST prediction performance using the developed deep learning model can be significantly varied by seasonal and interannual variabilities in SST.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2009.05a
• /
• pp.1191-1196
• /
• 2009

온실가스 증가에 따른 미래 기후변화가 수자원에 미치는 영향을 평가하기 위하여 전구기후모델(AOGCM)의 기온과 강수 자료를 이용하여 한반도 지역에 대한 통계적 규모 상세화(statistical downsacaling, SDS) 기법을 개발하였다. 개발된 기법은 Cyclostationary Empirical Orthogonal Function (CSEOF) 분석과 회귀분석을 결합한 것으로 관측과 AOGCM 시계열의 통계적 상관성을 이용하고 있다. 20세기말(1973-2000) 동안의 광역규모의 기온(ECMWF)과 강수량(CMAP) 및 AOGCM의 기온과 강수량 자료에 통계적 상세화 기법을 적용하고 비교함으로써 이 기법의 유효성을 검증하였는데, 상세화된 기온과 강수량 자료는 관측된 계절변동성과 월변동성을 잘 모사하였다. 특히, 여름철 관측에 비해 저평가된 AOGCM의 강수량 크기와 변동성이 상세화를 통해 관측치에 근접하게 되었다. AOGCM의 미래 강수량 변화는 21세기 후반에 계절적으로 봄과 여름에 증가할 것을 예상되었다. 상세화된 AOGCM의 강수는 겨울을 제외한 모든 계절에서, 특히 여름철에 가장 많이 증가할 것으로 전망되었다. AOGCM의 미래 기온변화는 21세기 후반으로 갈수록 상승하며, 계절적으로 겨울철의 기온 상승폭이 더 클 것으로 전망되는데, AOGCM을 상세화한 결과에서는 겨울과 더불어 여름에도 기온 상승폭이 클 것으로 전망되었다. 개발된 기법은 역학적 결과와 관측과의 통계적 상관성을 이용하기 때문에 광역규모의 기후적 특성뿐만 아니라 한반도 지형 등 지역적 특성도 모두 반영함과 더불어 광역규모의 자료를 빠른 시간내에 효과적으로 상세화시킬 수 있는 장점도 지닌다. 한편 상세화에 사용된 CSEOF의 모드수 등에 따른 불확실성 등은 통계적 상세화 과정에 개선될 여지가 남아있음을 보여준다.

• Korean Journal of Fisheries and Aquatic Sciences
• /
• v.24 no.6
• /
• pp.450-458
• /
• 1991

The thermal structures and their spatio-temporal fluctuations in the upper 200m layer off the southeast coast of Korea are studied using the bimonthly temperature data for 17years(1967-1983) at 37 stations. We analyzed the fluctuations of the temperatures in the surface(0-100m) and in the subsurface(100-200m) layers. The fluctuations of temperatures in the surface water are dominated by the annual variation, whereas the subsurface layer temperatures contain considerable non-seasonal fluctuations. The distributions of water temperature anomalies in the subsurface layer are closely related with those in the surface layer. The predominant periods of temperature fluctuations in the subsurface layer, other than the annual variation, are 14 and 70 months. The period of 14 months coincides with that of the pole tide or Chandler wobble. The cluster analysis shows that our study area can be divided into the cold, the frontal and the warm regions.

• Journal of Environmental Science International
• /
• v.5 no.5
• /
• pp.619-633
• /
• 1996

Intraseasonal variability of the tropical convection over the Indian/western Pacific is studied using the Geostationary Meteorological Satellite high cloud amount. This study is directed to find the tropical-extratropical interaction in the frequency range of intraseasonal and interannual variabilities of the summer monsoon occured over the domain of 90E-171W and 495-50N. Especially, in order to investigate the intraseasonal interaction of last Asia summer monsoon associated with the tropical convections in the high cloud amounts, the spatial and time structure of the intraseasonal oscillation for the movement-and the evolution of the large-scale connections are studied. To describe the spatial and the time evolution, the extended empirical orthogonal function analysis is applied. The first mode may be considered to a normal structure, indicating that the strong convection band over 90E-120E is extended to sastward but this mode was detected as the intraseasonal variability during summer monsoon. It is found that the dominant intraseasonal mode of the tropical convection consists of the spatial changes over a broad period range centered around 40~50days.

• Korean Journal of Ichthyology
• /
• v.23 no.3
• /
• pp.187-197
• /
• 2011

Fish species composition and size frequency distribution of major species were analyzed using seasonal samples collected by an otter trawl in the coastal water off Uljin and Hupo in 2002. Fish collected during the study were 20 species, 1,927 individuals and 53,969 g off Uljin, and 23 species, 2,762 individuals and 146,550 g off Hupo. Liparis tessellatus, Glyptocephalus stelleri and Cleisthenes pinetorum were predominated in abundance, and these 3 species were accounted for 70.9% in the number of individuals and 83.8% in biomass off Uljin, and 90.3% and 70.9% off Hupo, respectively. In the Korean coastal water of the East Sea, the migrating pelagic fish were predominated in catch by set net or gill net, and species composition varied greatly by season. Meanwhile, the fish collected by an otter trawl in the coastal water off Uljin and Hupo were dominated by the resident demersal fishes and did not show any clear seasonal trend in species composition. Collected G. stelleri and C. pinetorum were mainly composed of young fish, and size data as depth indicated that they moved into deeper shelf as they grew.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2005.05b
• /
• pp.908-911
• /
• 2005

지표와 대기사이에서 식물의 광합성 및 증발산 능력과 밀접하게 관련되어 있는 엽면적지수는 식생밀도를 나타낼때 사용되는 식생지수이다. 본 연구에서는 NOAA-AVHRR 자료를 사용한 엽면적지수를 사용하여 남한지역 엽면적지수의 시공간변화도와 주기성분석을 실시하였고 소양강댐유역, 안동댐유역과 주요 도시의 엽면적지수의 월별, 년별, 계절별 추세를 분석하였다. 추세분석결과 월추세 분석에서는 장기간의 뚜렷한 변동성을 나타내지는 않았지만 겨울과 봄 보다는 여름과 가을에 식생의 밀도가 더 높은 계절적인 요인에 많은 영향을 받는 것을 볼 수 있었다. 시간변화 분석결과 계절변화를 제외한 특별한 장기변동을 확인할 수 없었으며 엽면적지수의 공간 변화는 정규식생지수가 보여주는 지형이나 위도의 변화와 밀접한 관계를 가지는 변화양상을 보여주지 않았다. 이는 농지 및 삼림 등의 인위적 조성으로 인한 엽면적지수의 공간변화도 양상과 관계있다 하겠다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2008.05a
• /
• pp.2166-2169
• /
• 2008

한강 하구 점착성 퇴적물의 침강속도를 정량적으로 산정하고, 산정된 침강속도의 계절적 변화 해석을 목적으로 침강수주를 이용한 침강 실험이 수행되었다. 침강실험은 1개 정점에서 3계절에 채취된 퇴적물 표본 시료에 대해 계절별로 $5{\sim}6$회씩 총 16회의 실험이 수행되었으며, 또한 퇴적물 자체의 물리 화학적 특성 및 해수 특성에 따른 침강속도의 정성적 변화 특성을 파악하기 위하여 한강 하구 점착성 퇴적물에 대한 물리 화학적 특성 및 해수 특성에 대한 분석이 수행되었다. 본 연구를 통하여 도출되는 한강 하구 점착성 퇴적물 침강속도의 정량적 결과는 향후 한강 하구에 대한 체계적 관리 및 기능 회복을 위한 기술 개발시에 크게 활용될 수 있을 뿐만 아니라, 저면의 침식과 퇴적에 따른 하상변동 해석, 수질 및 퇴적물 오염 절감을 위한 대책 방안 수립 등 다양한 목적으로 크게 활용될 수 있을 것이다.

• Journal of Aquaculture
• /
• v.19 no.4
• /
• pp.236-241
• /
• 2006

Seasonal variation of the infection by three species of symbiotic copepods in clam, Tresus keenae was investigated in south coast of Korea. The prevalence and abundance of three symbiotic copepods showed seasonal variation with a peak in winter. Reproduction of the copepods occurs from early autumn to spring as indicated by higher ratio of gravid copepods. The frequency distribution of Lichomolgus inflatus, Pseudomyicola spinosus and Anthessius progectus in their host population could be fitted with negative binominal distribution. Results from the present study suggest that seasonal fluctuation in prevalence, relative density and mean intensity is related to temperature and life history of the symbiotic copepods.