DocumentCode :
576213
Title :
Variation of latent heat flux over the Bengal Bay-South China Sea area and its relationship with South China Sea summer monsoon onset
Author :
Chen, Jinnian ; Zuo, Tao ; Wang, Hongna
Author_Institution :
Inst. of Oceanol., Qingdao, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
856
Lastpage :
859
Abstract :
Based on the satellite remote data from Special Sensor Microwave Images (SSM/I) and Advanced Very High Resolution Radiometer (AVHRR), the oceanic and atmospheric parameters are retrieved through the method of neural network. And then the surface latent and sensible heat flux have been computed by the advanced method of COARE3.0 bulk algorithm. Correlation analysis between air-sea latent heat flux in the Bengal Bay-South China Sea area and the South China Sea (SCS) summer monsoon onset indicates that there is a remarkable lag correlation between them. This result has important implications for prediction of the SCS summer monsoon, and provides a scientific basis for further study of the onset process of this monsoon and its prediction. Based on these results, a linear regression equation is obtained to predict the onset date of the monsoon in 2012. The forecast is that the onset date in 2012 will be 2 pentads later.
Keywords :
ocean temperature; oceanographic regions; remote sensing; Advanced Very High Resolution Radiometer; Bengal bay; COARE3.0 bulk algorithm; SCS summer monsoon; Special Sensor Microwave Images; air-sea latent heat flux; atmospheric parameter; latent heat flux variation; linear regression equation; neural network method; oceanic parameter; satellite remote data; south China sea; surface latent heat flux; surface sensible heat flux; Correlation; Equations; Heating; Meteorology; Ocean temperature; Satellites; Sea surface; Bengal Bay-South China Sea area; SCS summer monsoon onset; air-sea heat fluxes; forecast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351426
Filename :
6351426
Link To Document :
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