Phytoplankton Increases Induced by Tropical Cyclones in the South China Sea During 1998-2015

2018 ◽  
Vol 123 (4) ◽  
pp. 2903-2920 ◽  
Author(s):  
Hui Zhao ◽  
Yuqing Wang
Keyword(s):  
South China Sea ◽  
Tropical Cyclones ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
China Sea

scholarly journals Climatological analysis of passage-type tropical cyclones from the Western North Pacific into the South China Sea

2017 ◽  
Vol 28 (3) ◽  
pp. 327-343 ◽  
Author(s):  
Jau-Ming Chen ◽  
Pei-Hua Tan ◽  
Liang Wu ◽  
Jin-Shuen Liu ◽  
Hui-Shan Chen
Keyword(s):  
South China Sea ◽  
Tropical Cyclones ◽  
South China ◽  
North Pacific ◽  
Western North Pacific ◽  
The South China Sea ◽  
The South ◽  
China Sea

Spatiotemporal variations of extreme sea levels around the South China Sea: assessing the influence of tropical cyclones, monsoons and major climate modes

2019 ◽  
Vol 98 (3) ◽  
pp. 969-1001 ◽  
Author(s):  
Dat T. Pham ◽  
Adam D. Switzer ◽  
Gabriel Huerta ◽  
Aron J. Meltzner ◽  
Huan M. Nguyen ◽  
...  
Keyword(s):  
South China Sea ◽  
Tropical Cyclones ◽  
South China ◽  
The South China Sea ◽  
Spatiotemporal Variations ◽  
The South ◽  
Sea Levels ◽  
Climate Modes ◽  
China Sea ◽  
Extreme Sea Levels

Blended wind fields for wave modeling of tropical cyclones in the South China Sea and East China Sea

2018 ◽  
Vol 71 ◽  
pp. 20-33 ◽  
Author(s):  
Zhuxiao Shao ◽  
Bingchen Liang ◽  
Huajun Li ◽  
Guoxiang Wu ◽  
Zhaohui Wu
Keyword(s):  
South China Sea ◽  
Tropical Cyclones ◽  
East China Sea ◽  
South China ◽  
The South China Sea ◽  
East China ◽  
The South ◽  
Wind Fields ◽  
Wave Modeling ◽  
China Sea

Interannual variability in the sea surface cooling induced by tropical cyclones in the South China Sea

2021 ◽  
Vol 40 (11) ◽  
pp. 70-78
Author(s):  
Juan Ouyang ◽  
Chunhua Qiu ◽  
Zhenhui Yi ◽  
Dongxiao Wang ◽  
Danyi Su ◽  
...  
Keyword(s):  
South China Sea ◽  
Interannual Variability ◽  
Tropical Cyclones ◽  
South China ◽  
The South China Sea ◽  
Sea Surface ◽  
The South ◽  
Surface Cooling ◽  
China Sea ◽  
Sea Surface Cooling

A Real-Time Regional Forecasting System Established for the South China Sea and Its Performance in the Track Forecasts of Tropical Cyclones during 2011–13

2015 ◽  
Vol 30 (2) ◽  
pp. 471-485 ◽  
Author(s):  
Shiqiu Peng ◽  
Yineng Li ◽  
Xiangqian Gu ◽  
Shumin Chen ◽  
Dongxiao Wang ◽  
...  
Keyword(s):  
South China Sea ◽  
Real Time ◽  
Tropical Cyclones ◽  
South China ◽  
Dynamical Downscaling ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Forecasting System ◽  
Atmosphere Model

Abstract A real-time regional forecasting system for the South China Sea (SCS), called the Experimental Platform of Marine Environment Forecasting (EPMEF), is introduced in this paper. EPMEF consists of a regional atmosphere model, a regional ocean model, and a wave model, and performs a real-time run four times a day. Output from the Global Forecast System (GFS) from the National Centers for Environmental Prediction (NCEP) is used as the initial and boundary conditions of two nested domains of the atmosphere model, which can exert a constraint on the development of small- and mesoscale atmospheric perturbations through dynamical downscaling. The forecasted winds at 10-m height from the atmosphere model are used to drive the ocean and wave models. As an initial evaluation, a census on the track predictions of 44 tropical cyclones (TCs) during 2011–13 indicates that the performance of EPMEF is very encouraging and comparable to those of other official agencies worldwide. In particular, EPMEF successfully predicted several abnormal typhoon tracks including the sharp recurving of Megi (2010) and the looping of Roke (2011). Further analysis reveals that the dynamically downscaled GFS forecasts from the most updated forecast cycle and the optimal combination of different microphysics and PBL schemes primarily contribute to the good performance of EPMEF in TC track forecasting. EPMEF, established primarily for research purposes with the potential to be implemented into operations, provides valuable information not only to the operational forecasters of local marine/meteorological agencies or international TC forecast centers, but also to other stakeholders such as the fishing industry and insurance companies.

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