원격 탐사 기반 해양 표면 온도의 미세 분포 차이에 따른 강설량 예측성 연구 (A Study on Predictability of Snowfall Amount due to Fine Difference of Spatial Distribution of Remote Sensing based Sea Surface Temperature)

서지정보

· 발행기관 : 한국환경과학회
· 수록지 정보 : 한국환경과학회지 / 23권 / 8호 / 1481 ~ 1493페이지
· 저자명 : 이순환, 유정우

초록

In order to understand the relation between the distribution of sea surface temperature and heavy snowfall overwestern coast of the Korean peninsula, several numerical assessments were carried out. Numerical model used in thisstudy is WRF, and sea surface temperature data were FNL(National Center for Environment Prediction-Finaloperational global analysis), RTG(Real Time Global analysis), and OSTIA(Operational Sea Surface Temperature andSea Ice Analysis). There were produced on the basis of remote sensing data, such as a variety of satellite and in situobservation.
The analysis focused on the heavy snowfall over Honam districts for 2 days from 29 December 2010. In comparisonwith RTG and OSTIA SST data, sensible and latent heat fluexes estimated by numerical simulation with FNL datawere higher than those with RTG and OSTIA SST data, due to higher sea surface temperature of FNL. Generaldistribution of RTG and OSTIA SST showed similar, however, fine spatial differences appear in near western coast ofthe peninsula. Estimated snow fall amount with OSTIA SST was occurred far from the western coast because of higherSST over sea far from coast than that near coast. On the other hand, snowfall amount near coast is larger than that overdistance sea in simulation with RTG SST. The difference of snowfall amount between numerical assessment with RTGand OSTIA is induced from the fine difference of SST spatial distributions over the Yellow sea. So, the predictionaccuracy of snowfall amount is strongly associated with the SST distribution not only over near coast but also over farfrom the western coast of the Korean peninsula.

영어초록

In order to understand the relation between the distribution of sea surface temperature and heavy snowfall overwestern coast of the Korean peninsula, several numerical assessments were carried out. Numerical model used in thisstudy is WRF, and sea surface temperature data were FNL(National Center for Environment Prediction-Finaloperational global analysis), RTG(Real Time Global analysis), and OSTIA(Operational Sea Surface Temperature andSea Ice Analysis). There were produced on the basis of remote sensing data, such as a variety of satellite and in situobservation.
The analysis focused on the heavy snowfall over Honam districts for 2 days from 29 December 2010. In comparisonwith RTG and OSTIA SST data, sensible and latent heat fluexes estimated by numerical simulation with FNL datawere higher than those with RTG and OSTIA SST data, due to higher sea surface temperature of FNL. Generaldistribution of RTG and OSTIA SST showed similar, however, fine spatial differences appear in near western coast ofthe peninsula. Estimated snow fall amount with OSTIA SST was occurred far from the western coast because of higherSST over sea far from coast than that near coast. On the other hand, snowfall amount near coast is larger than that overdistance sea in simulation with RTG SST. The difference of snowfall amount between numerical assessment with RTGand OSTIA is induced from the fine difference of SST spatial distributions over the Yellow sea. So, the predictionaccuracy of snowfall amount is strongly associated with the SST distribution not only over near coast but also over farfrom the western coast of the Korean peninsula.

참고자료

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