한반도 동해안 지방의 기후 특성

김영섭,한영호,신수경,홍성근,KIM Young-Seup,HAN Young-Ho,SHIN Soo-Kyeong,HONG Sung-Kun 한국수산과학회 1994 한국수산과학회지 Vol.27 No.3

Characteristics of climate in the eastern coastal regions of Korean Peninsula were studied using the meteorological and coastal sea surface temperature (SST) data which were compiled from 1961 to 1990. In the winter half year (from October to March), air temperature (AT) and precipitation of the eastern coastal regions were considerably higher than those of the western and inland regions, but relative humidity was $8{\sim}15\%$ lower. AT of coastal regions was closely related to the variation of coastal SST. These characteristics were more noticeable in the eastern coastal areas and in lower latitude regions. Quantitatively, the $1.0^{\circ}C$ variation of coastal SST may have resulted in the $1.0^{\circ}C{\sim}1.5^{\circ}C$ variation for AT in coastal regions. In the same way as temperature, vapor pressure in coastal regions was also influenced by coastal SST. Relative humidity change corresponding to the $1.0^{\circ}C$ variation of coastal SST was $3.7\%{\sim}6.5\%$. Net heat exchange amounts were positive (sea surface gaining energy) in all coastal regions. Sea surface gained net heat from March to September, and lost it from October to February. Variation of AT in coastal regions was also related to the sensible and latent heat exchanges. Sensible and latent heat amount corresponding to the $1.0^{\circ}C$ variation of AT were $10Wm^{-2}$ at Kangnung, and $8Wm^{-2}$ at Pohang and $13Wm^{-2}$ at Pusan.

동지나해의 열속추정에 관한 연구

김영섭,KIM Young-Seup 한국수산과학회 1996 한국수산과학회지 Vol.29 No.1

각종 해${\cdot}$기상 자료와 위성관측에 의한 운량 자료를 이용하여 벌크법에 의해 동지나해에 있어서 대기와 해양간의 열속을 추정하였으며, 그 결과를 요약하면 다음과 같다. 1) 태양복사량은 5월에 $255Wm^{-2}$로 최대, 12월에 $111Wm^{-2}$로 최소이며, 그 분포는 동절기에는 남쪽으로 갈수록 증가하고, 하절기에는 장마전선의 영향으로 북쪽으로 갈수록 증가하는 경향이 있었다. 장파복사량의 경우, 공간적 분포의 차이는 작으나 계절에 따른 차이는 커서 최대인 2월의 값은 (약 $70Wm^{-2}$) 최소인 7월의 2배에 이른다. 2) 현열과 잠열의 공간적 분포양상은 조사해역내의 해류 분포와 비슷하였다. 겨울철에 이 두 요소에 의한 해양의 열손실량은 대단히 커서 $830Wm^{-2}$ 이상이고, 이것은 같은 기간중 순폭사량의 5배에 이른다. 3) 연평균 순열플럭스의 분포는 전역에서 부 값을 보였으며, 최대 열손실 해역은 큐슈 남단으로 1월에 $400Wm^{-2}$ 이상이었다. 4) 조사해역의 태양복사량, 장파복사량, 현열 및 잠열의 연평균치는 각각 187, -52, -30, $-137Wm^{-2}$이고, 결과적으로 연간 약 $32Wm^{-2}(2.48\times10^{13}\;W)$의 에너지를 손실하고 있는 것으로 추정되었다. 5) Fig. 1에 표시되어 있는 A 해역 (황해)은 대기와의 열교환을 통하여 오히려 연간 $10Wm^{-2}(0.4\times10^{13}\;W)$의 에너지를 얻고, B 해역 (동지나해)은 $48Wm^{-2}(2.1\times10^{13}\;W)$,그리고 C 해역 (쿠로시오역)은 $39Wm^{-2}(1.7\times10^{13}\;W)$의 열을 손실하고 있는 것으로 추정되었다. Heat flux of the East China Sea was estimated with the bulk method, the East China mount based on the marine meteorological data and cloud amount data observed by a satellite. Solar radiation is maximum in May and minimum in December. Its amount decreases gradually southward during the winter half year (from October to March), and increases northward during the summer half year (from April to September) due to the influence of Changma (Baiu) front. The spatial difference of long-wave radiation is relatively small, but its temporal difference is quite large, i.e., the value in February is about two times greater than that in July. The spatial patterns of sensible and latent heat fluxes reflect well the effect of current distribution in this region. The heat loss from the ocean surface is more than $830Wm^{-2}$ in winter, which is five times greater than the net radiation amount during the same period, The annual net heat flux is negative, which means heat loss from the sea surface, in the whole region over the East China Sea. The region with the largest loss of more than $400Wm^{-2}$ in January is observed over the southwestern Kyushu. The annual mean value of solar radiation, long-wave radiation, sensible and latent heat fluxes are estimated $187Wm^{-2},\;-52Wm^{-2},\;-30Wm^{-2}\;and\;-137Wm^{-2}$, respectively, consequently the East China Sea losses the energy of $32Wm^{-2}(2.48\times10^{13}W)$. Through the heat exchange between the air and the sea, the heat energy of $0.4\times10^{13}W$ is supplied from the air to the sea in A region (the Yellow Sea), $2.1\times10^{13}W$ in B region (the East China Sea) and $1.7\times10^{13}W$ in C region (the Kuroshio part), respectively.

Variations of Heat Fluxes over the East China Sea and the Southern Part of the East Sea Based on the Buoy Data

Young-Seup Kim(김영섭),Byung-Hyuk Kwon(권병혁) 한국기상학회 2003 Asia-Pacific Journal of Atmospheric Sciences Vol.39 No.3

錦江 河口域의 浮遊물질 年變動에 관한 硏究

김영섭(Kim Young-Seup),이정열(Lee Jeong-Yeol) 군산대학교 수산과학연구소 1988 水産科學硏究 Vol.- No.4

This study was conducted to understand the variation characteristics of suspended solid in the Keum River Estuary. Water sampling was carried out regularly with response to the tidal cycle from September, 1986 to August, 1987. Analyzed or observed items were sea water temperature, salinity, TS, TDS, TSS, VSS, FSS. And also the relationships between wind velocity, precipitation, tidal cycle and TSS were investigated. It is found that the sea water temperature is the lowest in January(2.5℃) and the highest in August(24.4℃), and increases toward upstream in summer and vice versa in winter. Salinity is the lowest in August(13.6‰) and the higheirt in December(20.3‰), and the annual mean value shows 13.6‰. TS and TDS are firmly related with her variation of salinity, thus, high in spring and low in summer. The annual mean values of TSS in 199.8(65.3-454.5)mg/ℓ, highest in March 308,2(61.5-792.3)mg/ℓ and lowest in June 36.8(10.9-200.0)mg/ℓ. The annual mean values of VSS is 22.0mg/ℓ, its variation tendency is similar to that of TSS. The annual mean value of VSS/TSS ratio is 13.9(6.8-20.0)%, which are not high level compared with those of polluted sea areas. This ratio is high in summer(24.1%) and low in autumn(13.3%), and increases toward the downstream direction. It is also revealed that TSS shows a positive corpoation with the wind velocity(r=O.59), and a negative with the precipitation in the. Keum River basin(r= -0.64). TSS concentration is primarily subjected to the tidal range and the freshwater discharge and also related to the resuspension of bottom sediments by the action of wind force or wind waves. The dilution rate is strongly subjected to the seasonal variation of the freshwater discharge, therefore, TSS concentration shows low in summer and high in winter. Under low discharge condition in spring, autumn and winter, TSS, VSS are high level in spring tide compared with those in neap tide: under high discharge condition in summer, these values are reversed that is, TSS is higher in neap tide than in spring tide.

ISCCP-D2 자료를 이용한 운량 일변동 특성

김영섭(Young-Seup Kim),박효순(Hyo-Soon Park),서애숙(Ae-Sook Suh) 한국기상학회 2002 Asia-Pacific Journal of Atmospheric Sciences Vol.38 No.5

TRMM-PR/VIRS와 GMS 자료를 이용한 강수량 추정에 관한 연구

김영섭 ( Young Seup Kim ),박경원 ( Kyung Won Park ) 大韓遠隔探査學會 2002 大韓遠隔探査學會誌 Vol.18 No.6

TRMM-PR/VIRS와 GMS 자료를 이용하여 강수량을 추정하였다. 강수량 추정의 검증에는 기상청의 AWS 관측자료를 이용하였다. 본 연구의 강수량 추정 절차는 다음과 같다; l)TRMM-PR 자료와 AWS 자료를 이용하여 Z-R 관계식을 도출한다. 2)Z-R 관계식에 의한 추정치와 VIRS의 TBB 자료를 이용하여 강수량 추정식을 도출한다. 3)새롭게 도출된 식의 VIRS의 TEE 대신 GMS의 TBB 자료를 대입하여 광역의 강수량을 추정한다. Z-R 관계식은 Z=303R(0.72)로 나타났고 상관계수는 0.57이었다. 새롭게 제시된 강수량 추정식에 의한 결과의 상관계수는 0.67, RMSE는 17mm/hr로 나타났다. 강수량 추정식은 집중호우 때 과소추정하는 경향을 보였다. Rainfall estimation was conducted based on TRMM-PR/VIRS and GMS data. AWS rainfall data were used for various validation. General procedure is as follows; 1) Z-R relationship was made by the comparison of TRMM-PR and AWS data. 2) new algorithm was developed by the estimates from Z-R equation and TBB of VIRS. 3) rainfall was estimated through the substitution of GMS data for TBB of VIRS in the newly developed algorithm. Z-R relationship based on TRMM is Z=303R(0.72) with correlation coefficient 0.57. The newly developed algorithm is shown as correlation coefficient 0.67 and RMSE 17mm/hr. New algorithm shows the underestimating tendency in case of heavy rainfall event.

KOMPSAT OSMI 자료를 이용한 황사탐지

김영섭 ( Young Seup Kim ),박경원 ( Kyung Won Park ),서애숙 ( Ae Sook Suh ) 大韓遠隔探査學會 2002 大韓遠隔探査學會誌 Vol.18 No.4

복사전달모델과 KOMPSAT-1/OSMI 자료를 이용하여 황사탐지 가능성을 조사하였다. 그리고, 황사탐지를 위한 OSMI의 특성을 파악하기 위하여 OSMI와 SeaWiFS의 자료를 이용하여 공간 분광분석과 채널별 스펙트럼 분석을 실시하고, 또한 에어로솔 광학두께를 상호 비교하였다. OSMI와 SeaWiFS 자료를 이용한 x축 방향의 분광분석 결과, 865nm에서 분광특성이 비슷함을 알 수 있었고, 채널별 스펙트럼 분석에서는 765nm과 865nm에서 SeaWiFS의 결과와 비슷하여 이 밴드에서의 OSMI 자료의 활용 가능성을 확인할 수 있었다. 이들 밴드를 이용하여 산출한 OSMI의 황사탐지 화상은 MODIS에서 얻어진 화상과 비슷함을 알 수 있었다. 황사 때의 광학두께는 약 0.8~1.0으로 나타났다. Radiative transfer model was used to detect the yellow sand using KOMPSAT-1/OSMI data. With OSMI and Sea WiFS data, spectrum analysis for spatial and channel were carried out to investigate the characteristics of sensor for the detection of yellow sand. It was compared and analyzed the optical depth of OSMI and SeaWiFS data. Spectral characteristics of x-axis is similar in 765 and 865nm according to spectral analysis for OSMI and SeaWiFS data. It is considered that band 7 and 8(765 and 865nm) of OSMI is suitable for detecting the yellow sand. Compared the yellow sand images by OSMI and MODIS, the data of OSMI are applicable to monitor the yellow sand phenomena. The optical depth of yellow sand event was about 0.8 with 1.0 maximum.

Error Evaluation of the Bulk Aerodynamic Method for Estimating Heat Flux over the Sea

Young-Seup Kim(김영섭),Ryuji Kimura(木村龍治) 한국기상학회 1995 Asia-Pacific Journal of Atmospheric Sciences Vol.31 No.4

Estimation of Marine Meteorological Elements Using the Satellite and Buoy Data

Young-Seup Kim(김영섭),Gi-Man Hong(홍기만) 한국기상학회 2002 Asia-Pacific Journal of Atmospheric Sciences Vol.38 No.3

광양만의 수질과 확산특성

김영섭(Kim Young-seup),홍성근(Hong Sung-kun) 군산대학교 수산과학연구소 1985 水産科學硏究 Vol.- No.1

In order to provide the basic data required for setting up the proper strategies to minimize future marine environmental pollution on Kwangyang bay, the general water quality parameters, circulation pattern and dye study were investigated on January 19, 1984. Although TSS is somewhat high level, most suspended solid seem to composed of the inorganic materials. NH₃-N is also low level compared with that of other coastal areas so that the pollution by the nutrients is not serious yet. While COD is very high level in comparison with the results of other areas. The diffusive capability of this bay is assessed to be medium level.