scholarly journals Impact of the high-resolution sea surface temperature distribution on modeled snowfall formation over the Yellow Sea during a cold air outbreak

2011 ◽  
pp. 110324113650092
Author(s):  
Yeong-min Cha ◽  
Hwa-Woon Lee ◽  
Soon-Hwan Lee
Keyword(s):  
Temperature Distribution ◽  
High Resolution ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Yellow Sea ◽  
Sea Surface ◽  
The Yellow Sea ◽  
Cold Air ◽  
Surface Temperature Distribution ◽  
Cold Air Outbreak

scholarly journals Impacts of the High-Resolution Sea Surface Temperature Distribution on Modeled Snowfall Formation over the Yellow Sea during a Cold-Air Outbreak

2011 ◽  
Vol 26 (4) ◽  
pp. 487-503 ◽  
Author(s):  
Yeong-Min Cha ◽  
Hwa-Woon Lee ◽  
Soon-Hwan Lee
Keyword(s):  
High Resolution ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Yellow Sea ◽  
Sea Surface ◽  
The Yellow Sea ◽  
Weather Research And Forecasting ◽  
Cold Air Outbreak ◽  
New Generation ◽  
Distributed Cloud

Abstract High-resolution sea surface temperature (SST) products and idealized SST distributions were used to simulate snowfall over the Yellow Sea during 30–31 December 2007 using the Weather Research and Forecasting Model (WRF). Large differences were found between the SST distributions in the New Generation Sea Surface Temperature (NGSST) and Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) datasets near the Yellow Sea coast. Idealized SST datasets were defined to examine the influence of this difference in detail. The SST differences influenced the cloud streets and resultant snowfall formation. In simulations with the idealized SST distributions, convection developed and intensified later when the SST gradient was increased. In addition, the intensity of cloud streets was enhanced along the center of the flow. The simulations using the NGSST dataset showed widely distributed cloud streets and snowfall and heavier snowfall over the western Korean Peninsula, while those using the OSTIA dataset showed a concentrated distribution of cloud streets and snowfall along the center of airflow and more intense snowfall over North Jeolla Province, Korea, than in other regions. Comparing real SST products with observations qualitatively and quantitatively, OSTIA is found to have simulated the distribution and intensity of snowfall better than NGSST.

scholarly journals Influence of Sea Surface Temperature on a Mesoscale Convective System producing Extreme Rainfall over the Yellow Sea

2021 ◽  
Author(s):  
Yunhee Kang ◽  
Jong-Hoon Jeong ◽  
Dong-In Lee
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Yellow Sea ◽  
Extreme Rainfall ◽  
Sea Surface ◽  
The Yellow Sea ◽  
Convective System ◽  
Mesoscale Convective ◽  
Upper Level ◽  
Convective Cells

AbstractAn extreme rainfall-producing linear mesoscale convective systems (MCSs) occurred over the Yellow Sea, Korea, on 13 August 2012, producing 430 mm of rainfall in less than 12 h, causing devastating flash floods and landslides. To understand the causative processes underlying this event, we examined the linear MCSs formation and development mechanisms using observations and cloud-resolving models. The organized linear MCSs produced extreme rainfall at Gunsan in a favorable large-scale environment. The synoptic environment showed the stationary surface front elongating from China to Korea; a southwesterly low-level jet transported the warm, moist air from low latitudes towards the front. In the upper-level synoptic environment, the trough and entrance regions of the upper-level jet were north of the heavy rainfall, promoting the development of convection. The extreme rainfall over the Gunsan area resulted from the back-building mode of the MCSs, in which new convective cells continued to pass over the same area while the entire convective system was nearly stationary. The sea surface temperature (SST) during the extreme rainfall events was abnormally 1°C higher than the 30-year climatological mean, and a local warm pool (>28.5°C) existed where the convective cells were continuously initiated. Cloud-resolving models simulated the low-level convergence, and the latent heat flux was large in the local warm SST field. These induced MCSs formation and development, contributing to a significant rainfall increase over the Yellow Sea. The terrain’s influence on the large rainfall amount in the area was also noted.

scholarly journals Geographic Information System for Tuna Fishing Areas in Bitung waters

2018 ◽  
Vol 6 (2) ◽  
pp. 147
Author(s):  
J. Ch. Kumaat ◽  
M. M. F. Rampengan ◽  
S. T. B. Kandoli
Keyword(s):  
Temperature Distribution ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Sea Surface ◽  
Modis Data ◽  
Surface Temperature Distribution ◽  
Tuna Fishing ◽  
Level 3 ◽  
Data Level

The existence of the fishing in the waters will always be dynamic, constantly changing or changed following the movement of environmental conditions, which naturally fish will choose a more appropriate habitat. Predicted zone of Tuna fish catch can be done by detecting the distribution of chlorophyll-a and sea surface temperature distribution from Aqua MODIS image.  This study aims to predict the local zone tuna fishing in the sea around the city of Bitung based on the distribution of chlorophyll-a and sea surface temperature by using satellite image Aqua MODIS data level-3. A series of research activities are conducted in stages are: image collection, image cutting in accordance with the desired area, image extraction, data interpolation, map overlay, and the last is the map layout.  The result of sea surface temperature (SST) and chlorophyll-a concentration in the ocean waters of Bitung and surrounding areas shows the chlorophyll-a and sea surface temperature varies each season. The highest chlorophyll-a distribution is in the second transitional season in September and the lowest in the west season in December. The highest sea surface temperature distribution is in the eastern seasons in June and the lowest in the eastern seasons in August. The results showed at some of the most potential fishing points of Tuna in the transitional season II wherein each month in the season potentially forming the Tuna fishing areaKeywords: Tuna, chlorophyll-a, SST, Aqua, Modis ABSTRAK Keberadaan daerah penangkapan ikan di perairan akan selalu bersifat dinamis, selalu berubah atau berpindah mengikuti pergerakan kondisi lingkungan, yang secara alamiah ikan akan memilih habitat yang lebih sesuai.  Zona tangkapan ikan Tuna yang diprediksi dapat dilakukan dengan mendeteksi distribusi klorofil-a dan distribusi suhu permukaan laut dari citra Aqua MODIS. Penelitian ini bertujuan untuk memprediksi zona lokal penangkapan ikan tuna di laut sekitar kota Bitung, berdasarkan distribusi klorofil-a dan suhu permukaan laut dengan menggunakan citra satelit Aqua MODIS data level-3. Serangkaian kegiatan penelitian yang dilakukan secara bertahap adalah: koleksi gambar, pemotongan gambar sesuai dengan area yang diinginkan, ekstraksi gambar, interpolasi data, overlay peta, dan terakhir adalah tata letak peta. Hasil dari Suhu Permukaan Laut (SST) dan konsentrasi klorofil-a di perairan laut Bitung dan sekitarnya menunjukkan klorofil-a dan suhu permukaan laut bervariasi setiap musim. Distribusi klorofil-a tertinggi adalah pada musim peralihan kedua pada bulan September dan terendah di musim barat pada bulan Desember. Distribusi suhu permukaan laut tertinggi adalah di musim timur pada bulan Juni dan terendah di musim timur pada bulan Agustus. Hasil penelitian menunjukkan pada beberapa titik penangkapan ikan Tuna yang paling potensial pada musim peralihan II dimana setiap bulan di musim tersebut berpotensi membentuk daerah penangkapan Tuna.Kata Kunci: Tuna, Chlorofil-a, SPL, Aqua, Modis

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