• Title/Summary/Keyword: Advection Fogs

Search Result 9, Processing Time 0.026 seconds

A Study on Prediction System of Sea Fogs in the East Sea (동해의 해무 예측 시스템 연구)

  • 서장원;오희진;안중배;윤용훈
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
    • /
    • v.8 no.2
    • /
    • pp.121-131
    • /
    • 2003
  • We have found that the east coast of Korea has had few sea fogs on January, February, November and December for the past 20 years by the analysis of monthly fog frequency and duration time. These phenomena appear to relate to the topographical characteristics of which the Taebaek Mountains descends toward the east to bar the radiation fog. On the other hand, the cause of occurring the spring and summer fog which has 90% of the whole frequency is divided into three cases. The first is the steam fog caused by the advection of the northeast cold air current on the East Sea due to the extension of Okhotsk High. The second is the advection fog caused by cooling and saturation of warm airmass advected on cold sea surface. And the last is the frontal fog caused by the supply of enough vapor due to the movement of low-pressure system and the advection of cold air behind a cold front. While, we simulate the sea fog for the period of the case studies by implementing fog prediction system(DUT-METRI) that makes it possible to forecast the fog in the vertical section of neighborhood of the East Sea and to predict the sea surface wind, relative humidity, ceiling height, visibility etc. Finally we verified this result by satellite image.

The Characteristics of the Fog and Analysis of the Advection.Radiation Fog by KLAPS in Honam Region (호남지방 안개 특성 및 KLAPS를 통한 이류.복사안개 사례 연구)

  • Won, Hyo-Sung;Yu, Keun-Gi;Ryu, Chan-Su
    • Journal of Integrative Natural Science
    • /
    • v.4 no.4
    • /
    • pp.298-310
    • /
    • 2011
  • Recently the traffics and transportation hazzards by fog are tremendously Increased. There occurred the greater traffic disaster by Dense Fog of Oct.2006. In this study frequent occurrences of advection fogs centerd over Honam Prov are investigated. Increment of transportation during the Fog period for 1996~2005(decade)are statistically analyzed with Honam Prov.'s fogs. For Honam west coast(Gunsan, Mokpo), inland of Honam(Junju, Gwangju, Suncheon), Honam south coast(Wando, Yepsu), Wind, Dew point, Diff. of air and sea temp. relative humidity are classified between 12 hours before and on time of fog with three Dimensional Analysis System(KLAPS). High frequencies of advection-radiation Fog occurrence in western Coasts except for Suncheon. The application of fog characteristics analyzed by KLAPS for denser fog over the western coast in Fall to Fog prediction and special advisory issues. The advection-radiation fog can occure favorably when the moisture index is less than $2^{\circ}C$, relative humidity is greater than 90%, but the moisture depth is under 1.5 km. In addition when the height of 925 hPa is rising, then fog occurs, but for sinking is disappearing.

EVALUATION OF SEA FOG DETECTION USING A REMOTE SENSED DATA COMBINED METHOD

  • Heo, Ki-Young;Ha, Kyung-Ja;Kim, Jae-Hwan;Shim, Jae-Seol;Suh, Ae-Sook
    • Proceedings of the KSRS Conference
    • /
    • 2007.10a
    • /
    • pp.294-297
    • /
    • 2007
  • Steam and advection fogs are frequently observed in the Yellow Sea located between Korea and China during the periods of March-April and June-July respectively. This study uses the remote sensing (RS) data for monitoring sea fog. Meteorological data obtained from the Ieodo Ocean Research Station provided an informative synopsis for the occurrence of steam and advection fogs through a ground truth. The RS data used in this study was GOES-9, MTSAT-1R images and QuikSCAT wind data. A dual channel difference (DCD) approach using IR and near-IR channel of GOES-9 and MTSAT-1R satellites was applied to estimate the extension of the sea fog. For the days examined, it was found that not only the DCD but also the texture-related measurement and the weak wind condition are required to separate the sea fog from the low cloud. The QuikSCAT wind is used to provide a weak wind area less than threshold under stable condition of the surface wind around a fog event. The Laplacian computation for a measurement of the homogeneity was designed. A new combined method of DCD, QuikSCAT wind speed and Laplacian was applied in the twelve cases with GOES-9 and MTSAT-1R. The threshold values for DCD, QuikSCAT wind speed and Laplacian are -2.0 K, 8 m $s^{-1}$ and 0.1, respectively. The validation methods such as Heidke skill score, probability of detection, probability of false detection, true skill score and odds ratio show that the new combined method improves the detection of sea fog rather than DCD method.

  • PDF

A Remote Sensed Data Combined Method for Sea Fog Detection

  • Heo, Ki-Young;Kim, Jae-Hwan;Shim, Jae-Seol;Ha, Kyung-Ja;Suh, Ae-Sook;Oh, Hyun-Mi;Min, Se-Yun
    • Korean Journal of Remote Sensing
    • /
    • v.24 no.1
    • /
    • pp.1-16
    • /
    • 2008
  • Steam and advection fogs are frequently observed in the Yellow Sea from March to July except for May. This study uses remote sensing (RS) data for the monitoring of sea fog. Meteorological data obtained from the Ieodo Ocean Research Station provided a valuable information for the occurrence of steam and advection fogs as a ground truth. The RS data used in this study were GOES-9, MTSAT-1R images and QuikSCAT wind data. A dual channel difference (DCD) approach using IR and shortwave IR channel of GOES-9 and MTSAT-1R satellites was applied to detect sea fog. The results showed that DCD, texture-related measurement and the weak wind condition are required to separate the sea fog from the low cloud. The QuikSCAT wind data was used to provide the wind speed criteria for a fog event. The laplacian computation was designed for a measurement of the homogeneity. A new combined method, which includes DCD, QuikSCAT wind speed and laplacian computation, was applied to the twelve cases with GOES-9 and MTSAT-1R. The threshold values for DCD, QuikSCAT wind speed and laplacian are -2.0 K, $8m\;s^{-1}$ and 0.1, respectively. The validation results showed that the new combined method slightly improves the detection of sea fog compared to DCD method: improvements of the new combined method are $5{\sim}6%$ increases in the Heidke skill score, 10% decreases in the probability of false detection, and $30{\sim}40%$ increases in the odd ratio.

A Study on the Fog Occurrence in Suyoung Bay (수영만의 안개 발생에 관한 연구)

  • Jo, Gyu-Dae;Kim, Sun-Yeong
    • Journal of the Korean Society of Fisheries and Ocean Technology
    • /
    • v.26 no.3
    • /
    • pp.254-264
    • /
    • 1990
  • Using the meteorological data, surface weather map, and oceanographic data for 5 years(1984-1988). I investigated the characteristics of the fog occurrence and the role of the inshore in Pusan about the fog occurrence. And the meteorological data and sea surface temperature(SST), which were observed in July, 1989 in Suyoung Bay, were compared with those in Pusan. The fogs in Pusan concentrate in May, June and July. And at fog occurrence time the principal wind directions are Southwest(SW) winds, which easily supply with water vapor, and a series of Northeast(NE) wind. At the fog days pressure patterns are pattern 7 in spring time (March, April, and May) and pattern 10 and pattern 13 in summer time (June, July, and August). Also the advection fog(sea fog) is closely related with the relationship between warm and cold advection in 850~700mb and cold and warm SST rather than the increase of the instability of atmosphere in 850~500mb. The fogs in Taegu, which is the inland region, mainly occur at dawn in fall time due to the strong night radiation fog. On the other hand in Pusan the coastal region, the fogs occur from late spring time to summer time (May, June, and July). Because there is the abundant supply of the water vapor from the ocean owing to a series of South(S) wind at this time. Then the atmosphere, which has high relative humidity, reaches easily the supersaturation by the radiation cooling. In Suyoung Bay and Pusan the meteorological observation data, SST and fog days are almost similar. And I think that the mechanism of the fog occurrence nearly accords with both regions.

  • PDF

Objective Classification of Fog Type and Analysis of Fog Characteristics Using Visibility Meter and Satellite Observation Data over South Korea (시정계와 위성 관측 자료를 활용한 남한 안개의 객관적인 유형 분류와 특성 분석)

  • Lee, Hyun-Kyoung;Suh, Myoung-Seok
    • Atmosphere
    • /
    • v.29 no.5
    • /
    • pp.639-658
    • /
    • 2019
  • The classification of fog type and the characteristics of fog based on fog events over South Korea were investigated using a 3-year (2015~2017) visibility meter data. One-minute visibility meter data were used to identify fog with present weather codes and surface observation data. The concept of fog events was adopted for the better definition of fog properties and more objective classification through the detailed investigation of life cycle of fog. Decision tree method was used to classify the fog types and the final fog types were radiation fog, advection fog, precipitation fog, cloud base lowering fog and morning evaporation fog. We enhanced objectivity in classifying the types of fog by adding the satellite and the buoy observations to the conventional usage of AWS and ceilometer data. Radiation fog, the most common type in South Korea, frequently occurs in inland during autumn. A considerable number of advection fogs occur in island area in summer, especially in July. Precipitation fog accounts for more than a quarter of the total fog events and frequently occurs in islands and coastal areas. Cloud base lowering fog, classified using ceilometer, occurs occasionally for all areas but the occurrence rate is relatively high in east and west coastal area. Morning evaporation fog type is rarely observed in inland. The occurrence rate of thick fog with visibility less than 100 meters is amount to 21% of total fog events. Although advection fog develops into thick fog frequently, radiation fog shows the minimum visibility, in some cases.

Oceanography in the Waters Adjacent to Kamchatka and Kurile islands in the Northwestern Pacific - II (북서태평양 명태 어장의 해황 - 2 . 기후의 특성 -)

  • Han, Young-Ho
    • Journal of the Korean Society of Fisheries and Ocean Technology
    • /
    • v.13 no.1
    • /
    • pp.17-25
    • /
    • 1977
  • For four calender years (1971-1974), daily observations of weather conditions (air temperature, humidity, wind speed, wind direction, cloud amount, fog, precipitation etc.) at six stations in the north western Pacific Ocean are used to calculate mean monthly values and to check extra-conditions. At Petropavlosk and Miko'skoe, where indicate the characteristics of modified continental climate, the temperature and humidity are high in summer, and Iow in winter. At A Dak and She Mya, where indicate the characteristics of warm current type maritime climate, humidity is high in all season and annual range of air temperature is nearly negligible. At Simusir and Vasi!' eva, where indicate the characteristics of cold current type maritime climate, humidity is high in all season and annual range of air temperature is $15^{\circ}C.$ As dry cooling power is relatively high in winter, working condition on deck is bad. Most of fogs are advection fog in the area of cold current type climate in summer.

  • PDF

A Comparative Study on the Visibility Characteristics of Naked-Eye Observation and Visibility Meters of Fog over South Korea (남한에서의 안개 사례별 목측과 시정계 계측의 시정 특성 비교)

  • Lee, Hyun-Kyoung;Suh, Myoung-Seok
    • Atmosphere
    • /
    • v.28 no.1
    • /
    • pp.69-83
    • /
    • 2018
  • Most of the researches on fog in South Korea have been done based on the naked-eye observation but the number of observation sites is just 22. Considering the localities of fog and various durations, it is essential to utilize more than 250 visibility meters that measure visibility every minute. In this study, the visibility characteristics of visibility meters were compared with that of the naked-eye observation using one year data, 2016, and radiation fog and advection fog cases were analyzed in detail. The concordance rate of the two data set was 0.96~0.97, but discordance rate was 0.19~0.47. In general, visibility meters observed fog more frequently than naked-eye. The correlation between two data sets is clearly dependent on the visibility and geographic locations (fog/thick fog (< 100 m) of inland: 0.86/0.61; fog/thick fog: 0.65/0.73 of island/coastal site). In both fog cases, the fog events observed by naked-eye were consistently detected by visibility meters, and visibility meters clearly well detected very short fog/thick fogs. Formation and dissipation time of fog for the fog cases were similar but fog duration by visibility meters was shorter because of exclusion of temporary dissipated time. In addition, the visibility meters showed a detailed distribution of fog events that occurred simultaneously over South Korea. It would be useful to analyze the spatial and temporal characteristics of, in particular, thick fog using visibility meters. However, more works are needed for the filtering criteria for analyzing fog using visibility meters alone.

Development and Verification of the Fog Stability Index for Incheon International Airport based on the Measured Fog Characteristics (인천국제공항의 안개 특성에 따른 안개 안정 지수 FSI(Fog Stability Index) 개발 및 검증)

  • Song, Yunyoung;Yum, Seong Soo
    • Atmosphere
    • /
    • v.23 no.4
    • /
    • pp.443-452
    • /
    • 2013
  • The original Fog Stability Index (FSI) is formulated as FSI=$2(T-T_d)+2(T-T_{850})+WS_{850}$, where $T-T_d$ is dew point deficit (temperature-dew point temperature), $T-T_{850}$ is atmospheric stability measure (temperature-temperature at 850 hPa altitude) and $WS_{850}$ is wind speed at 850 hPa altitude. As a way to improve fog prediction at Incheon International Airport (IIA), we develop the modified FSI for IIA, using the meteorological data at IIA for two years from June 2011 to May 2013, the first one year for development and the second one year for validation. The relative contribution of the three parameters of the modified FSI is 9: 1: 0, indicating that $WS_{850}$ is found to be a non-contributing factor for fog formation at IIA. The critical success index (CSI) of the modified FSI is 0.68. Further development is made to consider the fact that fogs at IIA are highly influenced by advection of moisture from the Yellow Sea. One added parameter after statistical evaluation of the several candidate parameters is the dew point deficit at a buoy over the Yellow Sea. The relative contribution of the four parameters (including the new one) of the newly developed FSI is 10: 2: 0.5: 6.4. The CSI of the new FSI is 0.50. Since the developmental period of one year is too short, the FSI should be refined more as the data are accumulated more.