NWIPB OpenIR
Uncertainty analysis of eddy flux measurements in typical ecosystems of ChinaFLUX
He, Honglin1; Liu, Min1,2; Sun, Xiaomin1; Zhang, Li1; Luo, Yiqi3; Wang, Huiming1; Han, Shijie4; Zhao, Xinquan5; Shi, Peili1; Wang, Yanfen2; Ouyang, Zhu1; Yu, Guirui1
2010-11-01
Source PublicationECOLOGICAL INFORMATICS
ISSN1574-9541
Volume5Issue:6Pages:492-502
SubtypeArticle
AbstractFluxes of CO(2) (FCO(2)) and energy (latent heat, LE; sensible heat. H) exchange between ecosystems and atmosphere, as measured by the eddy covariance technique, represent a fundamental data source for global-change research. However, little is known about the uncertainties of flux measurements at an ecosystem level in China. Here, we use data from six eddy covariance tower sites in ChinaFLUX, including two forested sites, three grassland sites, and one agricultural site, to conduct a cross-site analysis of random flux errors (RFEs) of FCO(2). LE, and H. By using the daily-differencing approach, paired observations are obtained to characterize the random error in these measurements. Our results show that: (1) The RFEs of FCO(2), LE, and H in different ecosystems of ChinaFLUX closely follow a double-exponential (Laplace) distribution, presumably due to a superposition of Gaussian distribution for high flux magnitude. (2) The RFEs of FCO(2), LE, and H are not homogeneous and appear to be a linear function of flux magnitude. (3) Except for H. the RFEs of FCO(2) and LE exhibit a distinct seasonal pattern. For FCO(2), the dependence of RFEs on wind speed varies somewhat according to vegetation type, whereas for LE and H, there is no such dependence. The effect of temperature on RFEs is not statistically significant (P<0.05). Both the distribution and the relationship of RFEs with flux magnitude in ChinaFLUX are essentially in accord with those in AmeriFlux and CarboEurope. (C) 2010 Elsevier B.V. All rights reserved.; Fluxes of CO2 (FCO2) and energy (latent heat, LE; sensible heat. H) exchange between ecosystems and atmosphere, as measured by the eddy covariance technique, represent a fundamental data source for global-change research. However, little is known about the uncertainties of flux measurements at an ecosystem level in China. Here, we use data from six eddy covariance tower sites in ChinaFLUX, including two forested sites, three grassland sites, and one agricultural site, to conduct a cross-site analysis of random flux errors (RFEs) of FCO2. LE, and H. By using the daily-differencing approach, paired observations are obtained to characterize the random error in these measurements. Our results show that: (1) The RFEs of FCO2, LE, and H in different ecosystems of ChinaFLUX closely follow a double-exponential (Laplace) distribution, presumably due to a superposition of Gaussian distribution for high flux magnitude. (2) The RFEs of FCO2, LE, and H are not homogeneous and appear to be a linear function of flux magnitude. (3) Except for H. the RFEs of FCO2 and LE exhibit a distinct seasonal pattern. For FCO2, the dependence of RFEs on wind speed varies somewhat according to vegetation type, whereas for LE and H, there is no such dependence. The effect of temperature on RFEs is not statistically significant (P<0.05). Both the distribution and the relationship of RFEs with flux magnitude in ChinaFLUX are essentially in accord with those in AmeriFlux and CarboEurope. (C) 2010 Elsevier B.V. All rights reserved.
KeywordEddy Covariance Measurement Error Random Error Flux Uncertainty Chinaflux
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordCARBON-DIOXIDE EXCHANGE ; LONG-TERM ; PARAMETER-ESTIMATION ; COVARIANCE TECHNIQUE ; WATER-VAPOR ; FOREST ; MODEL ; ERRORS ; RESPIRATION ; ALGORITHMS
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEcology
WOS IDWOS:000284198400007
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/1630
Collection中国科学院西北高原生物研究所
Affiliation1.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Grad Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Univ Oklahoma, Dept Bot & Microbiol, Norman, OK 73019 USA
4.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Liaoning, Peoples R China
5.Chinese Acad Sci, NW Plateau Inst Biol, Xining 810001, Qinghai, Peoples R China
Recommended Citation
GB/T 7714
He, Honglin,Liu, Min,Sun, Xiaomin,et al. Uncertainty analysis of eddy flux measurements in typical ecosystems of ChinaFLUX[J]. ECOLOGICAL INFORMATICS,2010,5(6):492-502.
APA He, Honglin.,Liu, Min.,Sun, Xiaomin.,Zhang, Li.,Luo, Yiqi.,...&Yu, Guirui.(2010).Uncertainty analysis of eddy flux measurements in typical ecosystems of ChinaFLUX.ECOLOGICAL INFORMATICS,5(6),492-502.
MLA He, Honglin,et al."Uncertainty analysis of eddy flux measurements in typical ecosystems of ChinaFLUX".ECOLOGICAL INFORMATICS 5.6(2010):492-502.
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