Journal of Tropical Oceanography ›› 2017, Vol. 36 ›› Issue (4): 48-59.doi: 10.11978/2016124CSTR: 32234.14.2016124

Special Issue: 海洋大数据及应用

• Orginal Article • Previous Articles     Next Articles

A study of data processing and quality assessment of the eddy convariance system off Yongxing Island

Fenghua ZHOU1,2(), Rongwang ZHANG3, Rui SHI1, Yunkai HE1, Ju CHEN1, Dongxiao WANG1, Qiang XIE4()   

  1. 1. State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Sciences), Guangzhou 510300, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. Ocean University of China, Qingdao 266100, China
    4. Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China
  • Received:2016-11-25 Revised:2017-03-06 Online:2017-07-20 Published:2017-07-26
  • Supported by:
    Station Network Construction Project, Chinese Academy of Sciences-Xisha Marine Observatory (KZCX2-YW-Y202);Chinese Academy of Sciences Key Technology Talent Program-2016

Abstract:

This study was based on the raw eddy-covariance (EC) data measured in February 2016 from the observation tower on Yongxing Island. EddyPro software was used for data post-processing, and the influence on flux calculation was quantitatively analyzed before and after each processing step. Furthermore, flux data quality classification, footprint analysis and comparison with calculated results using easyflux_dl real time programme were conducted. The results showed that despiking, coordinate rotation, frequency response correction and density correction all influenced the flux calculation result to different degrees. The influences of coordinate rotation on momentum flux, latent heat flux and carbon dioxide flux were evident, which revealed increases of 11.28%, 7.36% and 18.53%, respectively. The density correction had a significant effect on the carbon dioxide flux calculation, which was reduced by 7.87% after density correction. Comprehensive quality evaluation results revealed that the ratios of high quality data (grades 1~3) of momentum flux, sensible heat flux, latent heat flux, and carbon dioxide flux were 90.29%, 90.22%, 88.46%, and 85.41%, respectively. Footprint analysis showed that 72.04% source area of the flux was scattered in the first interesting area (10~80°, the underlying surface is the ocean surface with an average water depth of more than 10 m). Comparison of flux calculation results between EddyPro and EasyFlux showed that the two flux time series were fundamentally consistent; the results obtained by EddyPro were smaller but more reliable and accurate due to more strict despiking adopted to get rid of outliers’ impacts.

Key words: Yongxing Island observation tower, eddy-convariance, air-sea flux, data processing, data quality evaluation

CLC Number: 

  • P413