• Title/Summary/Keyword: High Resolution Sea Surface Temperature

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Simulation of the Ocean Circulation Around Ulleungdo and Dokdo Using a Numerical Model of High-Resolution Nested Grid (초고해상도 둥지격자 수치모델을 이용한 울릉도-독도 해역 해양순환 모의)

  • Kim, Daehyuk;Shin, Hong-Ryeol;Choi, Min-bum;Choi, Young-Jin;Choi, Byoung-Ju;Seo, Gwang-Ho;Kwon, Seok-Jae;Kang, Boonsoon
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.32 no.6
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    • pp.587-601
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    • 2020
  • The ocean circulation was simulated in the East Sea and Ulleungdo-Dokdo region using ROMS (Regional Ocean Modeling System) model. By adopting the East Sea 3 km model and the HYCOM 9 km data, Ulleungdo 1 km model and Ulleungdo-Dokdo 300 m model were constructed with one-way grid nesting method. During the model development, a correction method was proposed for the distortion of the open boundary data which may be caused by the bathymetry data difference between the mother and child models and the interpolation/extrapolation method. Using this model, a super-high resolution ocean circulation with a horizontal resolution of 300 m near the Ulleungdo and Dokdo region was simulated for year 2018. In spite of applying the same conditions except for the initial and boundary data, the numerical models result indicated significantly different characteristics in the study area. Therefore, these results were compared and verified by using the surface current data estimated by satellites altimeter data and temperature data from NIFS (National Institute of Fisheries Science). They suggest that in general, the improvement of the one-way grid nesting with the HYCOM data on RMSE, Mean Bias, Pattern correlation and Vector correlation is greater in 300 m model than in the 1 km model. However, the nesting results of using East Sea 3 km model showed that simulations of the 1 km model were better than 300 m model. The models better resolved distinct ridge/trough structures of isotherms in the vertical sections of water temperature when using the higher horizontal resolution. Furthermore, Karman vortex street was simulated in Ulleungdo-Dokdo 300 m model due to the terrain effect of th islands that was not shown in the Ulleungdo 1 km model.

Estimation of Surface fCO2 in the Southwest East Sea using Machine Learning Techniques (기계학습법을 이용한 동해 남서부해역의 표층 이산화탄소분압(fCO2) 추정)

  • HAHM, DOSHIK;PARK, SOYEONA;CHOI, SANG-HWA;KANG, DONG-JIN;RHO, TAEKEUN;LEE, TONGSUP
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.24 no.3
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    • pp.375-388
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    • 2019
  • Accurate evaluation of sea-to-air $CO_2$ flux and its variability is crucial information to the understanding of global carbon cycle and the prediction of atmospheric $CO_2$ concentration. $fCO_2$ observations are sparse in space and time in the East Sea. In this study, we derived high resolution time series of surface $fCO_2$ values in the southwest East Sea, by feeding sea surface temperature (SST), salinity (SSS), chlorophyll-a (CHL), and mixed layer depth (MLD) values, from either satellite-observations or numerical model outputs, to three machine learning models. The root mean square error of the best performing model, a Random Forest (RF) model, was $7.1{\mu}atm$. Important parameters in predicting $fCO_2$ in the RF model were SST and SSS along with time information; CHL and MLD were much less important than the other parameters. The net $CO_2$ flux in the southwest East Sea, calculated from the $fCO_2$ predicted by the RF model, was $-0.76{\pm}1.15mol\;m^{-2}yr^{-1}$, close to the lower bound of the previous estimates in the range of $-0.66{\sim}-2.47mol\;m^{-2}yr^{-1}$. The time series of $fCO_2$ predicted by the RF model showed a significant variation even in a short time interval of a week. For accurate evaluation of the $CO_2$ flux in the Ulleung Basin, it is necessary to conduct high resolution in situ observations in spring when $fCO_2$ changes rapidly.

Spatial distribution of pigment concentration around the East Korean Warm Current region derived from Satellite data

  • Kim, Sang-Woo;Kim, Young-Seup;Yoon, Hong-Joo;Saitoh, Sei-ich
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.655-655
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    • 2002
  • Spatial distribution of phytoplankton pigment concentration (PPC) and sea surface temperature (SST) around the East Korean Warm Current (EKWC) was described, using both ocean color images and advanced very high resolution radiometer (AVHRR) images. Water mass in this region can be classified into five categories in the horizontal profile of PPC and SST, nLw(normalized water-leaving radiance) images: (1) coastal cold water region associated with concentrations of dissolved organic material or yellow colored substances and suspended sediments, (2) cold water region of thermal frontal occurred by a combination of phytoplankton absorption and suspended materials, (3) warm water overlay region by the phytoplankton absorption than the suspended materials; (4) warm water region occurred by the low phytoplankton absorption, and (5) offshore region occurred by the high phytoplankton absorption. In particular, the highest PPC area appeared in the ocean color and SST images with a band shaped distribution of the thermal front and ocean color front region, which is located the coastal cold waters along western thermal front of the warm streamer of the EKWC.

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Estimation of the Spring and Summer Net Community Production in the Ulleung Basin using Machine Learning Methods (기계학습법을 이용한 동해 울릉분지의 봄과 여름 순군집생산 추정)

  • DOSHIK HAHM;INHEE LEE;MINKI CHOO
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.29 no.1
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    • pp.1-13
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    • 2024
  • The southwestern part of the East Sea is known to have a high primary productivity compared to those in the northern and eastern parts, which is attributed to nutrients supplies either by Tsushima Warm Current or by coastal upwelling. However, research on the biological pump in this area is limited. We developed machine learning models to estimate net community production (NCP), a measure of biological pump, with high spatial and time scales of 4 km and 8 days, respectively. The models were fed with the input parameters of sea surface temperature, chlorophyll-a, mixed layer depths, and photosynthetically active radiation and trained with observed NCP derived from high resolution measurements of surface O2/Ar. The root mean square error between the predicted values by the best performing machine model and the observed NCP was 6 mmol O2 m-2 d-1, corresponding to 15% of the average of observed NCP. The NCP in the central part of the Ulleung Basin was highest in March at 49 mmol O2 m-2 d-1 and lowest in June and July at 18 mmol O2 m-2 d-1. These seasonal variations were similar to the vertical nitrate flux based on the 3He gas exchange rate and to the particulate organic carbon flux estimated by the 234Th disequilibrium method. To expand this method, which produces NCP estimate for spring and summer, to autumn and winter, it is necessary to devise a way to correct bias in NCP by the entrainment of subsurface waters during the seasons.

Impacts of Ocean Currents on the South Indian Ocean Extratropical Storm Track through the Relative Wind Effect

  • Hyodae Seo;Hajoon Song;Larry W. O'Neill;Matthew R. Mazloff;Bruce D. Cornuelle
    • Journal of Climate Change Research
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    • v.34 no.22
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    • pp.9093-9113
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    • 2021
  • This study examines the role of the relative wind (RW) effect (wind relative to ocean current) in the regional ocean circulation and extratropical storm track in the south Indian Ocean. Comparison of two high-resolution regional coupled model simulations with and without the RW effect reveals that the most conspicuous ocean circulation response is the significant weakening of the overly energetic anticyclonic standing eddy off Port Elizabeth, South Africa, a biased feature ascribed to upstream retroflection of the Agulhas Current (AC). This opens a pathway through which the AC transports the warm and salty water mass from the subtropics, yielding marked increases in sea surface temperature (SST), upward turbulent heat flux (THF), and meridional SST gradient in the Agulhas retroflection region. These thermodynamic and dynamic changes are accompanied by the robust strengthening of the local low-tropospheric baroclinicity and the baroclinic wave activity in the atmosphere. Examination of the composite life cycle of synoptic-scale storms subjected to the high-THF events indicates a robust strengthening of the extratropical storms far downstream. Energetics calculations for the atmosphere suggest that the baroclinic energy conversion from the basic flow is the chief source of increased eddy available potential energy, which is subsequently converted to eddy kinetic energy, providing for the growth of transient baroclinic waves. Overall, the results suggest that the mechanical and thermal air-sea interactions are inherently and inextricably linked together to substantially influence the extratropical storm tracks in the south Indian Ocean.

INTRODUCTION OF COMS SYSTEM

  • Baek, Myung-Jin;Han, Cho-Young
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.56-59
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    • 2006
  • In this paper, Korea's first geostationary Communication, Ocean and Meteorological Satellte(COMS) program is introduced. COMS program is one of the Korea National Space Programs to develop and operate a pure civilian satellite of practical-use for the compound missions of meteorological observation and ocean monitoring, and space test of experimentally developed communication payload on the geostationary orbit. The target launch of COMS is scheduled at the end of 2008. COMS program is international cooperation program between KARI and ASTRIUM SAS and funded by Korean Government. COMS satellite is a hybrid satellite in the geostationary orbit, which accommodates multiple payloads of MI(Meteorological Imager), GOCI(Geostationary Ocean Color Imager), and the Ka band Satellite Communication Payload into a single spacecraft platform. The MI mission is to continuously extract meteorological products with high resolution and multi-spectral imager, to detect special weather such as storm, flood, yellow sand, and to extract data on long-term change of sea surface temperature and cloud. The GOCI mission aims at monitoring of marine environments around Korean peninsula, production of fishery information (Chlorophyll, etc.), and monitoring of long-term/short-term change of marine ecosystem. The goals of the Ka band satellite communication mission are to in-orbit verify the performances of advanced communication technologies and to experiment wide-band multi-media communication service mandatory.

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Study of East Asia Climate Change for the Last Glacial Maximum Using Numerical Model (수치모델을 이용한 Last Glacial Maximum의 동아시아 기후변화 연구)

  • Kim, Seong-Joong;Park, Yoo-Min;Lee, Bang-Yong;Choi, Tae-Jin;Yoon, Young-Jun;Suk, Bong-Chool
    • The Korean Journal of Quaternary Research
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    • v.20 no.1 s.26
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    • pp.51-66
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    • 2006
  • The climate of the last glacial maximum (LGM) in northeast Asia is simulated with an atmospheric general circulation model of NCAR CCM3 at spectral truncation of T170, corresponding to a grid cell size of roughly 75 km. Modern climate is simulated by a prescribed sea surface temperature and sea ice provided from NCAR, and contemporary atmospheric CO2, topography, and orbital parameters, while LGM simulation was forced with the reconstructed CLIMAP sea surface temperatures, sea ice distribution, ice sheet topography, reduced $CO_2$, and orbital parameters. Under LGM conditions, surface temperature is markedly reduced in winter by more than $18^{\circ}C$ in the Korean west sea and continental margin of the Korean east sea, where the ocean exposed to land in the LGM, whereas in these areas surface temperature is warmer than present in summer by up to $2^{\circ}C$. This is due to the difference in heat capacity between ocean and land. Overall, in the LGM surface is cooled by $4{\sim}6^{\circ}C$ in northeast Asia land and by $7.1^{\circ}C$ in the entire area. An analysis of surface heat fluxes show that the surface cooling is due to the increase in outgoing longwave radiation associated with the reduced $CO_2$ concentration. The reduction in surface temperature leads to a weakening of the hydrological cycle. In winter, precipitation decreases largely in the southeastern part of Asia by about $1{\sim}4\;mm/day$, while in summer a larger reduction is found over China. Overall, annual-mean precipitation decreases by about 50% in the LGM. In northeast Asia, evaporation is also overall reduced in the LGM, but the reduction of precipitation is larger, eventually leading to a drier climate. The drier LGM climate simulated in this study is consistent with proxy evidence compiled in other areas. Overall, the high-resolution model captures the climate features reasonably well under global domain.

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A Comparative Study for Red Tide Detection Methods Using GOCI and MODIS

  • Oh, Seung-Yeol;Jang, Seon-Woong;Park, Won-Gyu;Lee, Jun-Ho;Yoon, Hong-Joo
    • Korean Journal of Remote Sensing
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    • v.29 no.3
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    • pp.331-335
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    • 2013
  • This study detected red tide areas using the existing Moderate-Resolution Imaging Spectroradiometer(MODIS) and Geostationary Ocean Color Imager(GOCI), and then compared the results between results of two sensors. The coasts of Jeollanam-do in the South Sea of Korea were set as the study area based on the red tide data which occurred on Aug. 26th, 2012. This study compared the results of sensors to detect red tides by using a satellite. In the results of analyzing MODIS by limiting it as chlorophyll concentration and the sea surface temperature which is considered to have red tides by the existing researches, it was possible to delete considerable amount of errors compared to the case of detecting red tides by using only chlorophyll while still there were differences from the range of red tides actually observed. In the results of GOCI by using empirical algorithm for detecting red tides, currently used by Korea Institute of Ocean Science & Technology(KIOST), it was possible to obtain more detailed results than MODIS. However, there was an area misjudged as red tides due to the influence of clouds. Also both MODIS and GOCI extracted red tides were not actually occurring, which might be because they were not able to perfectly distinguish red tides from turbid water in coastal areas with high turbidity.

Regional optimization of an atmospheric correction algorithm for the retrieval of sea surface temperature from Korean Sea area using NOAA/AVHRR data (NOAA/AVHRR 자료를 이용한 한반도 주변해역에서의 해수면온도 추출을 위한 지역적인 대기보정 알고리즘의 적용)

  • Yoon, Suk;Ryu, Joo-Hyung;Ahn, Yu-Hwan;Won, Joong-Sun
    • Proceedings of the KSRS Conference
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    • 2008.03a
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    • pp.164-169
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    • 2008
  • 한국해양연구원에서 수신한 자료인 NOAA 12, 16, 17, 18호등의 Advanced Very High Resolution Radiometer(AVHRR) 센서자료와 국립조사원에서 제공하는 해양실측자료인 정선 관측 자료를 이용하여 두 가지의 알고리즘 적용을 통하여 비교 및 분석을 해보고자 한다. 연구 기간은 2006년 1월부터 4월 자료 중 구름의 영향이 없는 영상에서 실측자료와 동일한 날짜 총 107개의 정점 값을 추출하였다. 위성 자료에서 해수면 온도 추출방법은 split window 방법으로, 고정계수 값을 사용하는 linear algorithm(MCSST), nonlinear algorithm(NLMCSST)을 이용하였다. 연구 지역은 동해, 황해, 남해 지역에 대한 지역별로 두 알고리즘을 비교 적용하였다. 전 해역의 값을 이용하여 위성자료와 실측자료를 비교 분석한 결과 linear algorithm방법의 평균 오차 값은 0.71$^{\circ}C$이고 상관도는 1%이고, nonlinear 방법의 오차 값은 0.35$^{\circ}C$ 상관도는 1%로 나타났다. 해역별로는 linear한 알고리즘을 적용하여 동해는(ES)는 R=1, 오차 값은 0.37$^{\circ}C$ 황해(YS)는 R=0.99 오차 값은 0.125$^{\circ}C$ 남해(SS)는 R=0.99 오차 값은 1.2$^{\circ}C$보였다. nonlinear한 알고리즘을 적용하여 동해는(ES)는 R=1, 오차 값은 0.4$^{\circ}C$ 황해(YS)는 R=0.99 오차 값은 0.13$^{\circ}C$ 남해(SS)는 R=0.99 오차 값은 0.82$^{\circ}C$의 결과를 보여 주었다. 동해와 황해지역은 linear한 알고리즘을 적용한 결과가 실측자료와의 오차 값이 작았고, 남해지역은 linear한 알고리즘을 적용한 결과보다 nonlinear 알고리즘을 적용한 것이 작은 오차 값을 보여주었다. 이는 남해 해역의 자료가 대기의 상태나 다른 영향을 받아 해수면온도 값이 추정된 것으로 보여 진다. 해역별로 최적화된 알고리즘을 적용하여 해수면온도의 산출을 통해서 위성자료의 정밀도 지구환경변화 모니터링 등 많은 연구에 위성자료의 활용이 증대될 것으로 기대한다.

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Examining Influences of Asian dust on SST Retrievals over the East Asian Sea Waters Using NOAA AVHRR Data (NOAA AVHRR 자료를 이용한 해수면온도 산출에 황사가 미치는 영향)

  • Chun, Hyoung-Wook;Sohn, Byung-Ju
    • Korean Journal of Remote Sensing
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    • v.25 no.1
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    • pp.45-59
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    • 2009
  • This research presents the effect of Asian dust on the derived sea surface temperature (SST) from measurements of the Advanced Very High Resolution Radiometer (AVHRR) instrument flown onboard NOAA polar orbiting satellites. To analyze the effect, A VHRR infrared brightness temperature (TB) is estimated from simulated radiance calculated from radiative transfer model on various atmospheric conditions. Vertical profiles of temperature, pressure, and humidity from radiosonde observation are used to build up the East Asian atmospheric conditions in spring. Aerosol optical thickness (AOT) and size distribution are derived from skyradiation measurements to be used as inputs to the radiative transfer model. The simulation results show that single channel TB at window region is depressed under the Asian dust condition. The magnitude of depression is about 2K at nadir under moderate aerosol loading, but the magnitude reaches up to 4K at slant path. The dual channel difference (DCD) in spilt window region is also reduced under the Asian dust condition, but the reduction of DCD is much smaller than that shown in single channel TB simulation. Owing to the depression of TB, SST has cold bias. In addition, the effect of AOT on SST is amplified at large satellite zenith angle (SZA), resulting in high variance in derived SSTs. The SST depression due to the presence of Asian dust can be expressed as a linear function of AOT and SZA. On the basis of this relationship, the effect of Asian dust on the SST retrieval from the conventional daytime multi-channel SST algorithm can be derived as a function of AOT and SZA.