海洋大气二氧化碳船基走航连续观测数据的质量控制方法  被引量:3

Study of data quality assurance/control on the shipborne continuous CO_(2)observations

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作  者:李嘉鑫 臧昆鹏 林溢[1] 陈圆圆 邱珊珊 熊浩宇 卿雪梅 蒋凯 洪海祥 方双喜 LI Jiaxin;ZANG Kunpeng;LIN Yi;CHEN Yuanyuan;QIU Shanshan;XIONG Haoyu;QING Xuemei;JIANG Kai;HONG Haixiang;FANG shuangxi(Zhejiang University of Technology,Hangzhou,310014,China;National Marine Environmental Monitoring Center,Dalian,116023,China)

机构地区:[1]浙江工业大学环境学院,杭州310014 [2]国家海洋环境监测中心,大连116023

出  处:《环境化学》2022年第10期3335-3344,共10页Environmental Chemistry

基  金:国家重点研发计划(2020YFA0607500);自然资源部海洋-大气化学与全球变化重点实验室基金(GCMAC2001)资助.

摘  要:船基走航连续观测是掌握海洋大气温室气体含量及特征的重要方式之一.为准确掌握海表大气温室气体时空变率,必须建立科学的数据质量控制方法.本研究基于2013年春季在我国近海开展的海洋大气CO_(2)船基走航连续观测数据,充分结合现场操作记录、气象要素、航速航向、拉依达准则和气团后向轨迹模拟结果等数据及技术手段,开展CO_(2)观测数据的筛分处理方法研究.本研究优化建立的方法可标记仪器故障、人为操作和船体排放等因素导致的异常观测值.对走航期间近海CO_(2)混合比分析结果显示,我国近海大气CO_(2)的纬向分布与北半球MBL的CO_(2)模拟结果具有一致性,但受来自欧亚大陆气团的影响,导致我国近海与MBL的CO_(2)混合比之差随纬度增加而上升.Shipborne continuous observation is widely adopted as an important approach to understand the variation of greenhouse gases in the marine boundary layer(MBL).In order to precisely understand the spatiotemporal variation of greenhouse gases in the MBL,a scientific data quality control approach should be established.Based on the shipborne continuous CO_(2)observations over the China shelf seas in spring of 2013,in this study,a new data filtering method was developed by considering the operation log,meteorological parameters,pauta criterion,and air mass transport,which could efficiently mark the CO_(2)observations influenced by instrument malfunction,ship emissions,and refillting of drying-tube,etc.Our filtered results showed that the latitudinal distribution of atmospheric CO_(2)in China shelf seas agreed well with the simulated distribution of MBL-CO_(2)in northern hemisphere.Additionally,we concluded that,the CO_(2)discrepancy between the China shelf seas and MBL enlarged along with increasing latitude,which was likely due to the transportion of air mass from the Eurasian continent.

关 键 词:海表大气 二氧化碳 船基走航 数据质控 数据筛分. 

分 类 号:X831[环境科学与工程—环境工程] P714[天文地球—海洋科学]

 

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