Comparison of remote sensing data with in-situ wind observation during the development of the South China Sea monsoon

2012 ◽  
Vol 30 (6) ◽  
pp. 933-943 ◽  
Author(s):  
Jian Li ◽  
Dongxiao Wang ◽  
Ju Chen ◽  
Lei Yang
Keyword(s):  
Remote Sensing ◽  
South China Sea ◽  
South China ◽  
Remote Sensing Data ◽  
The South China Sea ◽  
Sensing Data ◽  
China Sea ◽  
Wind Observation ◽  
South China Sea Monsoon

scholarly journals Distribution of Atmospheric Aerosol over the South China Sea

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Shih-Jen Huang ◽  
Chen-Chih Lin
Keyword(s):  
South China Sea ◽  
South China ◽  
Aerosol Particles ◽  
Correlation Coefficients ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Fine Aerosol ◽  
Coarse Aerosol

The satellite-derived aerosol optical depth (AOD) data is used to investigate the distribution of aerosol over the South China Sea (SCS). High correlation coefficients are found between in situ AERONET data and satellite AOD measurements around the SCS with the highest coefficient of 0.9 on the Dongsha Island (i.e., Pratas Island). The empirical orthogonal function (EOF) analysis of AOD over the SCS shows that high AOD is always found around offshore areas of China, Indochina, Sumatra, and Borneo. Besides, spring is the major season of occurring coarse aerosol particles (AOT_C) but fine aerosol particles (AOT_F) occur yearly. The biomass burning is found in Indochina during March and April, and so it is in Sumatra and Borneo from August to October. The results also show that the AOT_F are higher during El Niño events, but higher AOT_C are found in La Niña years.

The south china sea monsoon experiment (scsmex) implementation plan

1997 ◽  
Vol 14 (2) ◽  
pp. 255-270 ◽  
Author(s):  
Ding Yihui ◽  
Chao Qingchen ◽  
Zhang Yan ◽  
Gan Zijun ◽  
Zhang Xiuzhi
Keyword(s):  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
Implementation Plan ◽  
China Sea ◽  
South China Sea Monsoon
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