• 제목/요약/키워드: heavy snowfall event

검색결과 22건 처리시간 0.02초

2004년 3월 4일 대설 사례에 관한 분석과 예보를 위한 제안 (Analyses of the Heavy Snowfall Event Occurred over the Middle Part of the Korean Peninsula on March 4, 2004 and Suggestions for the Future Forecast)

  • 조익현;유희동;이우진;신경섭
    • 대기
    • /
    • 제14권3호
    • /
    • pp.3-18
    • /
    • 2004
  • A heavy snowfall event occurred over the middle part of the Korean peninsula on March 4, 2004. The numerical models of KMA failed to forecast this heavy snowfall event because this event was due to small scale disturbance by low lever convergence and atmospheric instability. The analyses for this heavy snowfall have been performed to give forecasters useful suggestions for forecasting heavy snowfall events in the future. The analyses for the snowfall event were recounted by the Hourly Korean Peninsula Analysis Weather Chart (HKPAWC) presenting on the KMA intranet system. We confirmed that warm air flows of low level into south central Korea in conjunction with strong southwesterly winds played important role in the heavy snowfall event. We suggested several check points to improve the forecast of heavy snowfall events in the future through the results of the analyses.

폭설에 대한 예측가능성 연구 - 2008년 3월 4일 서울지역 폭설사례를 중심으로 - (On the Predictability of Heavy Snowfall Event in Seoul, Korea at Mar. 04, 2008)

  • 류찬수;서애숙;박종서;정효상
    • 한국환경과학회지
    • /
    • 제18권11호
    • /
    • pp.1271-1281
    • /
    • 2009
  • The heavy snowfall event over the eastern part of Seoul, Korea on Mar. 04, 2008 has been abruptly occurred after the frontal system with the heavy snowfall event had been past over the Korean peninsula on Mar. 03, 2008. Therefore, this heavy snowfall event couldn't be predicted well by any means of theoretical knowledges and models. After the cold front passed by, the cold air mass was flown over the peninsula immediately and became clear expectedly except the eastern part and southwestern part of peninsula with some large amount of snowfall. Even though the wide and intense massive cold anticyclone was expanded and enhanced by the lowest tropospheric baroclinicity over the Yellow Sea, but the intrusion and eastward movement of cold air to Seoul was too slow than normally predicted. Using the data of numerical model, satellite and radar images, three dimensional analysis Products(KLAPS : Korea Local Analysis and Prediction System) of the environmental conditions of this event such as temperature, equivalent potential temperature, wind, vertical circulation, divergence, moisture flux divergence and relative vorticity could be analyzed precisely. Through the analysis of this event, the formation and westward advection of lower cyclonic circulation with continuously horizontal movement of air into the eastern part of Seoul by the analyses of KLAPS fields have been affected by occurring the heavy snowfall event. As the predictability of abrupt snowfall event was very hard and dependent on not only the synoptic atmospheric circulation but also for mesoscale atmospheric circulation, the forecaster can be predicted well this event which may be occurred and developed within the very short time period using sequential satellite images and KLAPS products.

북동 기류와 관련된 영동해안 지역의 대설 사례에 대한 WRF수치모의 연구 (A Numerical Simulation Study Using WRF of a Heavy Snowfall Event in the Yeongdong Coastal Area in Relation to the Northeasterly)

  • 이재규;김유진
    • 대기
    • /
    • 제18권4호
    • /
    • pp.339-354
    • /
    • 2008
  • A numerical simulation of a heavy snowfall event that occurred 13 January 2008 along the Yeongdong coastal area, was performed using WRF (Weather Research and Forecasting) in order to reveal mesoscale structures and to construct a conceptual model showing the meteorological background that caused the large difference in snowfall amounts between the Yeongdong mountain area and the Yeongdong coastal area. The simulation results matched well with various observations such as corresponding 12h-accumulated observed precipitation, surface wind obscrvation, radar echoes, and satellite infrared images. The simulation and the observations showed that the scale of the event was of meso - $\beta$ and meso - $\gamma$ scale. The simulation represented well the mesoscale process causing the large difference in snowfall amounts in the two areas. First, wind flow was kept, to a certain extent, from crossing the mountains due to the blocking effect of the low Froude number (~1). The northeast flow over the adjaccnt sea tumcd northwest as it approachcd the mountains, where it was trapped, allowing so-called cold air damming. Second, a strong convergence area formed where the cold northwest flow along the Yeongdong coastal area and the relatively warm and moist northeast flow advecting toward the coast met, supporting the fonllation of a coastal front. Thus, the vertical motion was strongest over the front located near the coast, leading to the heavy snowfall there rather than in the remote mountain area.

영동 대설과 관련된 낮은 층운형 구름의 위성관측 (Satellite Image Analysis of Low-Level Stratiform Cloud Related with the Heavy Snowfall Events in the Yeongdong Region)

  • 권태영;박준영;최병철;한상옥
    • 대기
    • /
    • 제25권4호
    • /
    • pp.577-589
    • /
    • 2015
  • An unusual long-period and heavy snowfall occurred in the Yeongdong region from 6 to 14 February 2014. This event produced snowfall total of 194.8 cm and the recordbreaking 9-day snowfall duration in the 103-year local record at Gangneung. In this study, satellite-derived cloud-top brightness temperatures from the infrared channel in the atmospheric window ($10{\mu}m{\sim}11{\mu}m$) are examined to find out the characteristics of clouds related with this heavy snowfall event. The analysis results reveal that a majority of precipitation is related with the low-level stratiform clouds whose cloud-top brightness temperatures are distributed from -15 to $-20^{\circ}C$ and their standard deviations over the analysis domain (${\sim}1,000km^2$, 37 satellite pixels) are less than $2^{\circ}C$. It is also found that in the above temperature range precipitation intensity tends to increase with colder temperature. When the temperatures are warmer than $-15^{\circ}C$, there is no precipitation or light precipitation. Furthermore this relation is confirmed from the examination of some other heavy snowfall events and light precipitation events which are related with the low-level stratiform clouds. This precipitation-brightness temperature relation may be explained by the combined effect of ice crystal growth processes: the maximum in dendritic ice-crystal growth occurs at about $-15^{\circ}C$ and the activation of ice nuclei begins below temperatures from approximately -7 to $-16^{\circ}C$, depending on the composition of the ice nuclei.

기단변질형 한반도 강설 모의에 있어서 물리과정 모수화 과정의 효과 (Effects of Physical Parameterizations on the Simulation of a Snowfall Event over Korea Caused by Air-mass Transformation)

  • 설경희;홍성유
    • 대기
    • /
    • 제16권3호
    • /
    • pp.203-213
    • /
    • 2006
  • The objective of this paper is to investigate the effects of physical parameterization on the simulation of a snowfall event over Korea caused by air-mass transformation by using the PSU/NCAR MM5. A heavy snowfall event over Korea during 3-5 January 2003 is selected. In addition to the control experiments employing simple-ice microphysics scheme, MRF PBL scheme, and original surface layer process, three consequent physics sensitivity experiments are performed. Each experiment exchanges microphysics (Reisner Graupel), boundary layer (YSU PBL) schemes, and revised surface layer process with a reduced thermal roughness length for the control run. The control run reproduces an overall pattern of snowfall over Korea, but with a high bias by a factor of about 2. As revealed in the previous studies, the cloud microphysics and PBL parameterizations do not show a significant sensitivity for the case of snowfall. A more sophisticated cloud processes does not reveal a discernible effect on the simulated snowfall. Further, high bias in snowfall is exaggerated when a more realistic PBL scheme is employed. On the other hand, it is found that the revised surface layer process plays a role in improving the prediction of snowfall by reducing it. Thus, it is found that a realistic design of surface layer physics in mesoscale models is an important factor to the reduction of systematic bias of the snowfall over Korea that is caused by air-mass transformation over the Yellow sea.

영동지역 대설 사례의 대기 하층 안정도 분석 (An Analysis of Low-level Stability in the Heavy Snowfall Event Observed in the Yeongdong Region)

  • 이진화;은승희;김병곤;한상옥
    • 대기
    • /
    • 제22권2호
    • /
    • pp.209-219
    • /
    • 2012
  • Extreme heavy snowfall episodes have been investigated in case of accumulated snowfall amount larger than 50 cm during the past ten years, in order to understand the association of low-level stability with heavy snowfall in the Yeongdong region. In general, the selected 4 events have similar synoptic setting such as the Siberian High extended to East Sea along with the Low passing by the southern Korean Peninsula, eventually inducing easterly in the Yeongdong region. Specifically moist-adiabatically neutral layer has been observed during the heavy snowfall period, which was easily identified using vertical profiles of equivalent potential temperature observed at Sokcho, whereas convective unstable layer has been formed over the East sea due to relatively warm sea surface temperature (SST) about $8{\sim}10^{\circ}C$ and lower temperature around 1~2 km above the surface, obtained from RDAPS. Difference of equivalent potential temperature between 850 hPa and surface as well as difference between air and sea temperatures altogether gradually increased before the snowfall period. Instability-induced moisture supply to the atmosphere from the East sea, being cooled and saturated by the upper cold surge, would make low-level ice cloud, and eventually move inland by the easterly flow. Heavy snowfall will be enhanced in association with low-level convergence by surface friction and upslope wind against Taebaek mountains. This study emphasizes the importance of low level stability in the Yeongdong region using the radiosonde sounding and RDAPS data, which should quantitatively be examined through numerical model as well as heat and moisture supply from the ocean.

논문 - GIS/RS를 이용한 비닐하우스 폭설 피해지역 추출 기법 연구 (Estimation of Greenhouse Damaged Area by Heavy Snowfall using GIS and Remote Sensing Technique)

  • 김샛별;신형진;윤동균;홍성욱;김성준
    • 한국관개배수논문집
    • /
    • 제18권2호
    • /
    • pp.111-121
    • /
    • 2011
  • This study is to estimate the possible damage area of greenhouse by heavy snowfall event using terra MODIS snow cover area (SCA) and the ground measured snowfall data (GMSD). For the 4 heavy snowfall events of January 2001, March 2004, December 2005 and January 2010, the areas exceeding the design criteria of snowfall depth for greenhouse breaking were extracted by coupling the MODIS SCA and GMSD. The main damaged regions were estimated as Gangwon province in 2001, Chungbuk and part of Gyeongbuk province in 2004, Jeonbuk and Jeonnam province in 2005, and Gangwon and part of Gyeonggi province in 2010 respectively. Comparing with the investigated number of greenhouse damaged data, the estimated areas reflected the statistical data except 2001. The 2001 greenhouse damages were caused by the high wind speed (35.7m/sec) together with snowfall. The results of this study can be improved if the design criteria of wind speed is added.

  • PDF

영동대설 예보지원시스템 개발 (Development of Yeongdong Heavy Snowfall Forecast Supporting System)

  • 권태영;함동주;이정순;김삼회;조구희;김지언;지준범;김덕래;최만규;김남원;남궁지연
    • 대기
    • /
    • 제16권3호
    • /
    • pp.247-257
    • /
    • 2006
  • The Yeong-dong heavy snowfall forecast supporting system has been developed during the last several years. In order to construct the conceptual model, we have examined the characteristics of heavy snowfalls in the Yeong-dong region classified into three precipitation patterns. This system is divided into two parts: forecast and observation. The main purpose of the forecast part is to produce value-added data and to display the geography based features reprocessing the numerical model results associated with a heavy snowfall. The forecast part consists of four submenus: synoptic fields, regional fields, precipitation and snowfall, and verification. Each offers guidance tips and data related with the prediction of heavy snowfalls, which helps weather forecasters understand better their meteorological conditions. The observation portion shows data of wind profiler and snow monitoring for application to nowcasting. The heavy snowfall forecast supporting system was applied and tested to the heavy snowfall event on 28 February 2006. In the beginning stage, this event showed the characteristics of warm precipitation pattern in the wind and surface pressure fields. However, we expected later on the weak warm precipitation pattern because the center of low pressure passing through the Straits of Korea was becoming weak. It was appeared that Gangwon Short Range Prediction System simulated a small amount of precipitation in the Yeong-dong region and this result generally agrees with the observations.

2017년 1월 20일 발생한 강원 영동대설 사례에 대한 대기의 구조적 특성 연구 (A Study on the Synoptic Structural Characteristics of Heavy Snowfall Event in Yeongdong Area that Occurred on 20 January, 2017)

  • 안보영;이정선;김백조;김희원
    • 한국환경과학회지
    • /
    • 제28권9호
    • /
    • pp.765-784
    • /
    • 2019
  • The synoptic structural characteristics associated with heavy snowfall (Bukgangneung: 31.3 cm) that occurred in the Yeongdong area on 20 January 2017 was investigated using surface and upper-level weather charts, European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis data, radiosonde data, and Moderate Resolution Imaging Spectroradiometer (MODIS) cloud product. The cold dome and warm trough of approximately 500 hPa appeared with tropopause folding. As a result, cold and dry air penetrated into the middle and upper levels. At this time, the enhanced cyclonic potential vorticity caused strong baroclinicity, resulting in the sudden development of low pressure at the surface. Under the synoptic structure, localized heavy snowfall occurred in the Yeongdong area within a short time. These results can be confirmed from the vertical analysis of radiosonde data and the characteristics of the MODIS cloud product.

2011년 강원 폭설과 GPS 가강수량의 상관성 분석 (Correlation Analysis between GPS Precipitable Water Vapor and Heavy Snowfall on Gangwon Province in Early 2011)

  • 송동섭
    • 한국측량학회지
    • /
    • 제30권1호
    • /
    • pp.97-104
    • /
    • 2012
  • 본 연구에서는 2011년 강원도 영동 지방의 폭설 기간 동안 GPS 위성 신호의 대류권 지연량 추정으로부터 대기 가강수량을 복원하였다. 폭설이 발생하는 기간 동안에 GPS 가강수량과 신적설 발생량과의 상관관계에 대한 분석을 실시하였다. 분석 결과, GPS를 이용하여 복원한 대류권에서의 가강수량 증가가 발생된 이후에 강설량이 증가하는 추세를 나타냈다. 또한 웨이블릿을 이용한 주기 분석에서는 본 연구기간에 한해서 GPS 가강수량의 주기가 포화수증기압의 주기와 유사한 것으로 검출되었다. GPS 가강수량의 감소와 이에 대응하는 신적설량의 증감은 두 연구 지역인 강릉과 울진에서 모두 다르게 증감하는 경향을 나타냈다. 폭설 기간 동안 GPS 가강수량과 포화수증기압의 상관 계수는 강설이 발생하지 않는 기간 동안의 결과와는 달리 양의 상관성을 갖는 것으로 나타났다.