A High‐Resolution Simulation of Roll Convection Over the Yellow Sea During a Cold Air Outbreak

2019 ◽  
Vol 124 (20) ◽  
pp. 10608-10625
Author(s):  
Yong Chen ◽  
Huiling Yuan ◽  
Shanhong Gao
2011 ◽  
Vol 26 (4) ◽  
pp. 487-503 ◽  
Author(s):  
Yeong-Min Cha ◽  
Hwa-Woon Lee ◽  
Soon-Hwan Lee

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.


2018 ◽  
Vol 10 (9) ◽  
pp. 1478
Author(s):  
Ahmed Harun-Al-Rashid ◽  
Chan-Su Yang

This work focuses on the detection of tiny macroalgae patches in the eastern parts of the Yellow Sea (YS) using high-resolution Landsat-8 images from 2014 to 2017. In the comparison between floating algae index (FAI) and normalized difference vegetation index (NDVI) better detection by FAI was observed, but many tiny patches still remained undetected. By applying a modification on the FAI around 12% to 27% increased and correct detection of macroalgae is achieved from 35 images compared to the original. Through this method many scattered tiny patches were detected in June or July in Korea Bay and Gyeonggi Bay. Though it was a small-scale phenomenon they occurred in the similar period of macroalgal bloom occurrence in the YS. Thus, by using this modified method we could detect macroalgae in the study areas around one month earlier than the previously used Geostationary Ocean Color Imager NDVI-based detection. Later, more macroalgae patches including smaller ones occupying increased areas were detected. Thus, it seems that those macroalgae started growing locally from tiny patches rather than being transported from the western parts of the YS. Therefore, this modified FAI could be used for the precise detection of macroalgae.


2017 ◽  
Vol 14 (10) ◽  
pp. 1815-1819 ◽  
Author(s):  
Qianguo Xing ◽  
Ruihong Guo ◽  
Lingling Wu ◽  
Deyu An ◽  
Ming Cong ◽  
...  

2006 ◽  
Vol 81 (4) ◽  
pp. 293-303 ◽  
Author(s):  
Gang Fu ◽  
Jingtian Guo ◽  
Shang-Ping Xie ◽  
Yihong Duan ◽  
Meigen Zhang

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