热带海洋学报 ›› 2017, Vol. 36 ›› Issue (4): 48-59.doi: 10.11978/2016124CSTR: 32234.14.2016124

所属专题: 海洋大数据及应用

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永兴岛涡动相关数据处理与质量评价*

周峰华1,2(), 张荣望3, 石睿1, 何云开1, 陈举1, 王东晓1, 谢强4()   

  1. 1. 热带海洋环境国家重点实验室(中国科学院南海海洋研究所), 广东 广州 510300
    2. 中国科学院大学, 北京 100049
    3. 中国海洋大学, 山东 青岛 266100
    4. 中国科学院深海科学与工程研究所, 海南 三亚 572000
  • 收稿日期:2016-11-25 修回日期:2017-03-06 出版日期:2017-07-20 发布日期:2017-07-26
  • 作者简介:

    作者简介:周峰华(1988—), 男, 江苏省徐州市人, 工程师, 在职博士研究生, 主要从事边界层海-气通量, 海洋观测网络系统集成技术, 捷联惯导式测波技术, 多源传感器信息融合技术等研究。E-mail:zhoufh@scsio.ac.cn

  • 基金资助:
    中国科学院野外台站网络建设项目-西沙海洋观测站(KZCX2-YW-Y202);中国科学院关键技术人才项目-2016

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

摘要:

基于永兴岛2016年2月份实测涡动原始数据, 用EddyPro软件进行数据后处理, 并对各处理步骤前、后进行定量比较分析, 进一步对通量计算结果进行质量分级评价、足迹分析, 最后对分别使用EddyPro软件和EasyFlux_DL在线计算程序得到通量结果进行比较。结果表明, 野点剔除、坐标旋转、频率补偿和空气密度修正均会影响涡动相关通量的计算结果。野点剔除在动量和感热通量的计算中无明显影响, 在潜热和二氧化碳通量计算中则不可忽略。坐标旋转使动量、潜热和二氧化碳通量分别增加了11.28%、7.36%和18.53%。空气密度效应校正(WPL校正)对二氧化碳通量计算影响显著, 经空气密度修正后降低了7.87%。总体质量评价结果为, 动量、感热、潜热和二氧化碳通量中高质量数据(1~3级)所占比例分别为90.29%、90.22%、88.46%和85.41%。源区分析表明, 72.04%的通量数据落在第一兴趣源区(北至东北方向10°~80°, 平均水深超过10m的海洋下垫面)。EddyPro和EasyFlux两者的整体趋势一致, EddyPro引入更加严格的野点剔除指标, 得到的结果偏小, 但更可靠精确。

关键词: 涡动相关仪, 海—气通量, 观测, 质量评价, 永兴岛

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

中图分类号: 

  • P413