• Title/Summary/Keyword: EAST Model

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Computational Procedure for Sea Subface Topography of East Asian Marginal Seas using Geosat Altimeter Data (Geosat 고도계자료를 이용한 동아시아해역의 해면변위 산정법)

  • 최병호;고진석
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.12 no.1
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    • pp.107-118
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    • 1994
  • As satellite altimetry is being progressed to apply with heigher precision to maginal seas, it was necessary to improve correction procedures for tidal signals in altimetry with more accurate tidal model than well-known model of Schwiderski for studying marginal sea dynamics. As a first step, tidal regime of semidiurnal tides$(M_2,\;S_2,\;N_2,\;K_2)$ and diurnal tides$(K_1,\;O_1,\;P_1,\;Q_1)$ were computed with a finer details of formulation of tidal model over the East Asian Marginal Seas covering the Okhotsk Sea and South China Sea and part of Northwest Pacific Ocean with mesh resolutions of 1/6$^{\circ}$. Subsequently the computed sets of harmonic constants from the model were used to remove the tide in selected Sea Surface Heights from Geosat in the modelled region. Preliminary correction procedure suggested in the present study may be extensively used for obtaining Sea Surface Topography over the East Asian Marginal Seas, especially for the region where Schwiderski's harmonic constants are not available.

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Evaluation of the East Asian Summer Monsoon Season Simulated in CMIP5 Models and the Future Change (CMIP5 모델에 나타난 동아시아 여름몬순의 모의 성능평가와 미래변화)

  • Kwon, Sang-Hoon;Boo, Kyung-On;Shim, Sungbo;Byun, Young-Hwa
    • Atmosphere
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    • v.27 no.2
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    • pp.133-150
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    • 2017
  • This study evaluates CMIP5 model performance on rainy season evolution in the East Asian summer monsoon. Historical (1986~2005) simulation is analyzed using ensemble mean of CMIP5 19 models. Simulated rainfall amount is underestimated than the observed and onset and termination of rainy season are earlier in the simulation. Compared with evolution timing, duration of the rainy season is uncertain with large model spread. This area-averaged analysis results mix relative differences among the models. All model show similarity in the underestimated rainfall, but there are quite large difference in dynamic and thermodynamic processes. The model difference is shown in horizontal distribution analysis. BEST and WORST group is selected based on skill score. BEST shows better performance in northward movement of the rain band, summer monsoon domain. Especially, meridional gradient of equivalent potential temperature and low-level circulation for evolving frontal system is quite well captured in BEST. According to RCP8.5, CMIP5 projects earlier onset, delayed termination and longer duration of the rainy season with increasing rainfall amount at the end of 21st century. BEST and WORST shows similar projection for the rainy season evolution timing, meanwhile there are large discrepancy in thermodynamic structure. BEST and WORST in future projection are different in moisture flux, vertical structure of equivalent potential temperature and the subsequent unstable changes in the conditional instability.

Estimation of PM10 source locations in Busan using PSCF model (PSCF 모델을 활용한 부산지역 PM10의 발생원 추정)

  • Do, Woo-Gon;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.24 no.6
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    • pp.793-806
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    • 2015
  • The purpose of this study is to find out the air flow patterns affecting the PM10 concentration in Busan and the potential sources within each trajectory pattern. The synoptic air flow trajectories are classified into four clusters by HYSPLIT model and the potential sources of PM10 are estimated by PSCF model for each cluster from 2008 to 2012. The potential source locations of PM10 are compared with the distribution of PM10 anthropogenic emissions in east Asia developed in 2006 for the NASA INTEX-B mission. The annual mean concentrations of PM10 in Busan decreased from $51ug/m^3$ in 2008 to $43ug/m^3$ in 2012. The monthly mean concentrations of PM10 were high during a spring season, March to May and low during a summer season, August and September. The cluster2 composed of the air trajectories from the eastern China to Busan through the west sea showed the highest frequency, 44 %. The cluster1 composed of the air trajectories from the inner Mongolia region to Busan through the northeast area of China showed the second high frequency, 26 %. The cluster3 and 4 were composed of the trajectories originated in the southeast sea and the east sea of Busan respectively and showed low frequencies. The concentrations of in each cluster were $47ug/m^3$ in cluster1, $56ug/m^3$ in cluster2, $42ug/m^3$ in cluster3 and $37ug/m^3$ in cluster4. From these results, it was proved that the cluster1 and 2 composed of the trajectories originated in the east and northeast area of China were the causes of high PM10 concentrations in Busan. The results of PSCF and CWT model showed that the potential sources of the high PM10 concentrations were the areas of the around Mongolia and the eastern China having high emissions of PM10 from Beijing, Hebei to Shanghai through Shandong, Jiangsu.

Geoacoustic Characteristics of P-Wave Velocity in Donghae City - Ulleung Island Line, East Sea: Preliminary Results (동해시-울릉도 해저 측선에서의 P파 속도 지음향 특성: 예비 결과)

  • Ryang, Woo-Hun;Kwon, Yi-Kyun;Jin, Jae-Hwa;Kim, Hyun-Tae;Lee, Chi-Won;Jung, Ja-Hun;Kim, Dae-Choul;Choi, Jin-Hyuk;Kim, Young-Gyu;Kim, Sung-Il
    • The Journal of the Acoustical Society of Korea
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    • v.26 no.2E
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    • pp.44-49
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    • 2007
  • Donghae City - Ulleung Island Line (DC-UI Line) is a representative line for underwater and geoacoustic modeling in the middle western East Sea. In this line, an integrated model of P-wave velocity is proposed for a low-frequency range target (<200 Hz), based on high-resolution seismic profiles (2 - 7 kHz sonar and air-gun), shallow and deep cores (grab, piston, and Portable Remote Operated Drilling), and outcrop geology (Tertiary rocks and the basement on land). The basement comprises 3 geoacoustic layers of P-wave velocity ranging from 3750 to 5550 m/s. The overlying sediments consist of 7 layers of P-wave velocities ranging from 1500 to 1900 m/s. The bottom model shows that the structure is very irregular and the velocity is also variable with both vertical and lateral extension. In this area, seabed and underwater acousticians should consider that low-frequency acoustic modeling is very range-dependent and a detailed geoacoustic model is necessary for better modeling of acoustic propagation such as long-range surveillance of submarines and monitoring of currents.

Analysis of Survival in 273 Terminally Ill Cancer Patients Treated with Traditional Oriental Therapies

  • Cho Jung-Hyo;Kang Wee-Chang;Son Chang-Gue;Lee Yeon-Weol;Yoo Hwa-Seung;Lee Nam-Heon;Yun Dam-Hee;Cho Chong-Kwan
    • The Journal of Korean Medicine
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    • v.25 no.4
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    • pp.152-160
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    • 2004
  • Objective : Recently, an increasing portion of cancer patients use various therapies of complementary and alternative medicine (CAM) including traditional oriental medicine, which is believed to improve the consequence of cancer according to clinical experience and laboratory data. But the clinical-based systemic statistic validity of these therapies is lacking, so this study was aimed to validate the traditional oriental therapies (TOT) for terminally ill cancer patients. Patients and methods : This retrospective study was performed on 273 patients who were diagnosed with terminally ill cancer in Korea and treated with TOT in the oriental hospital of Daejeon University, from March 1997 to June 2003. We examined the median duration of the terminal period and the correlations between 9 factors and survival of terminally ill cancer patients. Results : During the study period, we could confirm 142 patients' death (52.01%) in 273 subjects. The median length of survival in terminally ill cancer patients was 16 weeks (95%CI 14.0∼20.0) and 40.15% (95%CI 40.07∼40.22) of patients had survived more than 24 weeks. According to Cox's proportional hazard model including gender, age, conventional therapies (chemotherapy, radiotherapy and surgery), performance status and clinical symptoms as independent variables, history of conventional therapies (RR 0.581, 95%CI 0.381∼0.885), higher performance status (RR 1,855, 95%CI 1.454∼2.366) and absence of ascites and pleural effusion (RR 1.631, 95%CI 1.047∼2.538) showed independent prognostic value of survival. Conclusion : Our findings suggest that TOT offer potential benefits for cancer patients at the terminal stage.

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Effects of Continental Evaporation for Precipitation Over East Asia in the Past and the Future of HadGEM2-AO Climate Model (HadGEM2-AO 기후모델에 따른 과거와 미래의 동아시아 강수량에 대한 육지 증발량의 영향)

  • Kim, Jin-Uk;Lee, Johan;Boo, Kyung-On;Shim, Sungbo;Kim, Jee-Eun;Byun, Young-Hwa
    • Atmosphere
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    • v.26 no.4
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    • pp.553-563
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    • 2016
  • Land evaporation contribution to precipitation over East Asia is studied to understand terrestrial moisture source of continental precipitation. Moisture recycling of precipitation relying on terrestrial evaporation is estimated based on the analysis method of Van der Ent et al. (2010). We utilize HadGEM2-AO simulations for the period of 1970~1999 and 2070~2099 from RCP8.5. Globally, 46% of terrestrial precipitation is depending from continental evaporation. 58% of terrestrial evaporation returns as continental precipitation. Over East Asia, precipitation has been affected by local evaporation and transported moisture. The advection of upwind continental evaporation results from the prevailing westerlies from the midwestern of Eurasian continent. For the present-day period, about 66% of the precipitation over the land of East Asia originates from land evaporation. Regionally, the ratios change and the ratios of precipitation terrestrial origin over the Northern inland and Southern coast of East Asia are 82% and 48%, respectively. Seasonally, the continental moisture recycling ratio is larger during summer (JJA) than winter (DJF). According to RCP8.5, moisture recycling ratio is expected to change. At the end of the 21st century, the impact of continental moisture sources for precipitation over East Asia is projected to be reduced by about 5% compared to at the end of 20th century. To understand the future changes, moisture residence time change is investigated using depletion and replenishment time.

Prediction Skill for East Asian Summer Monsoon Indices in a KMA Global Seasonal Forecasting System (GloSea5) (기상청 기후예측시스템(GloSea5)의 여름철 동아시아 몬순 지수 예측 성능 평가)

  • Lee, So-Jeong;Hyun, Yu-Kyung;Lee, Sang-Min;Hwang, Seung-On;Lee, Johan;Boo, Kyung-On
    • Atmosphere
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    • v.30 no.3
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    • pp.293-309
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    • 2020
  • There are lots of indices that define the intensity of East Asian summer monsoon (EASM) in climate systems. This paper assesses the prediction skill for EASM indices in a Global Seasonal Forecasting System (GloSea5) that is currently operating at KMA. Total 5 different types of EASM indices (WNPMI, EAMI, WYI, GUOI, and SAHI) are selected to investigate how well GloSea5 reproduces them using hindcasts with 12 ensemble members with 1~3 lead months. Each index from GloSea5 is compared to that from ERA-Interim. Hindcast results for the period 1991~2010 show the highest prediction skill for WNPMI which is defined as the difference between the zonal winds at 850 hPa over East China Sea and South China Sea. WYI, defined as the difference between the zonal winds of upper and lower level over the Indian Ocean far from East Asia, is comparatively well captured by GloSea5. Though the prediction skill for EAMI which is defined by using meridional winds over areas of East Asia and Korea directly affected by EASM is comparatively low, it seems that EAMI is useful for predicting the variability of precipitation by EASM over East Asia. The regressed atmospheric fields with EASM index and the correlation with precipitation also show that GloSea5 best predicts the synoptic environment of East Asia for WNPMI among 5 EASM indices. Note that the result in this study is limited to interpret only for GloSea5 since the prediction skill for EASM index depends greatly on climate forecast model systems.

Non-Ionic Surfactants Antagonize Toxicity of Potential Phenolic Endocrine-Disrupting Chemicals, Including Triclosan in Caenorhabditis elegans

  • Alfhili, Mohammad A.;Yoon, Dong Suk;Faten, Taki A.;Francis, Jocelyn A.;Cha, Dong Seok;Zhang, Baohong;Pan, Xiaoping;Lee, Myon-Hee
    • Molecules and Cells
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    • v.41 no.12
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    • pp.1052-1060
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    • 2018
  • Triclosan (TCS) is a phenolic antimicrobial chemical used in consumer products and medical devices. Evidence from in vitro and in vivo animal studies has linked TCS to numerous health problems, including allergic, cardiovascular, and neurodegenerative disease. Using Caenorhabditis elegans as a model system, we here show that short-term TCS treatment ($LC_{50}$: ~0.2 mM) significantly induced mortality in a dose-dependent manner. Notably, TCS-induced mortality was dramatically suppressed by co-treatment with non-ionic surfactants (NISs: e.g., Tween 20, Tween 80, NP-40, and Triton X-100), but not with anionic surfactants (e.g., sodium dodecyl sulfate). To identify the range of compounds susceptible to NIS inhibition, other structurally related chemical compounds were also examined. Of the compounds tested, only the toxicity of phenolic compounds (bisphenol A and benzyl 4-hydroxybenzoic acid) was significantly abrogated by NISs. Mechanistic analyses using TCS revealed that NISs appear to interfere with TCS-mediated mortality by micellar solubilization. Once internalized, the TCS-micelle complex is inefficiently exported in worms lacking PMP-3 (encoding an ATP-binding cassette (ABC) transporter) transmembrane protein, resulting in overt toxicity. Since many EDCs and surfactants are extensively used in commercial products, findings from this study provide valuable insights to devise safer pharmaceutical and nutritional preparations.

Classification of mandibular molar furcation involvement in periapical radiographs by deep learning

  • Katerina Vilkomir;Cody Phen;Fiondra Baldwin;Jared Cole;Nic Herndon;Wenjian Zhang
    • Imaging Science in Dentistry
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    • v.54 no.3
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    • pp.257-263
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    • 2024
  • Purpose: The purpose of this study was to classify mandibular molar furcation involvement (FI) in periapical radiographs using a deep learning algorithm. Materials and Methods: Full mouth series taken at East Carolina University School of Dental Medicine from 2011-2023 were screened. Diagnostic-quality mandibular premolar and molar periapical radiographs with healthy or FI mandibular molars were included. The radiographs were cropped into individual molar images, annotated as "healthy" or "FI," and divided into training, validation, and testing datasets. The images were preprocessed by PyTorch transformations. ResNet-18, a convolutional neural network model, was refined using the PyTorch deep learning framework for the specific imaging classification task. CrossEntropyLoss and the AdamW optimizer were employed for loss function training and optimizing the learning rate, respectively. The images were loaded by PyTorch DataLoader for efficiency. The performance of ResNet-18 algorithm was evaluated with multiple metrics, including training and validation losses, confusion matrix, accuracy, sensitivity, specificity, the receiver operating characteristic (ROC) curve, and the area under the ROC curve. Results: After adequate training, ResNet-18 classified healthy vs. FI molars in the testing set with an accuracy of 96.47%, indicating its suitability for image classification. Conclusion: The deep learning algorithm developed in this study was shown to be promising for classifying mandibular molar FI. It could serve as a valuable supplemental tool for detecting and managing periodontal diseases.

SIMPLIFIED APPROACH TO VALUATION OF VULNERABLE EXCHANGE OPTION UNDER A REDUCED-FORM MODEL

  • Huh, Jeonggyu;Jeon, Jaegi;Kim, Geonwoo
    • East Asian mathematical journal
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    • v.37 no.1
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    • pp.79-85
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    • 2021
  • In this paper, we investigate the valuation of vulnerable exchange option that has credit risk of option issuer. The reduced-form model is used to model credit risk. We assume that credit event is determined by the jump of the counting process with stochastic intensity, which follows the mean reverting process. We propose a simple approach to derive the closed-form pricing formula of vulnerable exchange option under the reduced-form model and provide the pricing formula as the standard normal cumulative function.