摘要
CO2通量观测数据的规范处理及其高质量数据产品的发布,是CO2通量及其相关领域研究的前提和基础。为解决目前通量观测数据处理工作中存在的过程繁琐、方法不统一、处理不及时等问题,本研究以MATLAB为开发工具,利用其强大的数学计算功能和可视化GUI技术,集成目前主要的通量数据处理方法,开发了一套具有自主知识产权的中国通量网(ChinaFLUX)通量观测数据处理系统。该系统的处理对象为30min的CO2通量观测数据,其主要处理步骤包括湍流通量计算、观测数据的质量控制/质量保证、缺失观测数据的插补,以及不同时间尺度下碳交换量的分解和计算等。该系统自动化程度高、可视化程度强,为ChinaFLUX通量观测数据处理及服务提供了一个良好的平台。
The standardized processing of observed C02 flux data and issue of high grade data product are the precondition and foundation of researches at CO2 Flux and its related field . However, there are a system of problems when we process these observed flux data, such as tedious processing, unified methods and lag of processing. In order to solve these problems, we choose MATLAB as development toolkit. Through making a use of its powerful mathematical computation functions and visible GUI technology, and through making an integration of current flux data processing methods, we developed the processing system of observed flux data at ChinaFLUX with independent intellectual property rights. The processing object is to observe CO2 flux data with half-hour interval. The main processing steps included turbulent flux computation, quality control/quality assurance of observed data, gap filling of missing data, separation and computation of carbon flux exchange at different time scales and so on. On the basis of current researches at ChinaFLUX, we improved the algorithms of abnormal data rejection, u^＊ threshold determination and nonlinear gap-filling method, which we considered to be optimal. The outputs of NEE, GEE and Re at Qianyanzhou Flux Tower at ChinaFlux are - 352. 19 gC m^-2 y^-1, 1 284. 88 gC m^-2 y^-1 and - 1 637.07 gC m^-2 y^-1, which are similar to other research results. This system, with high automaticity and visualization, can provide a valid platform for processing observed CO2 flux data.
出处
《地球信息科学》
CSCD
2008年第5期557-565,共9页
Geo-information Science
基金
国家自然科学基金项目(30570347)
中国科学院野外台站基金(CERN远程在线生态系统监测数据系统研究)
