DocumentCode :
16776
Title :
Assessment of Uncertainties in Eddy Covariance Flux Measurement Based on Intensive Flux Matrix of HiWATER-MUSOEXE
Author :
Jiemin Wang ; Jinxin Zhuang ; Weizhen Wang ; Shaomin Liu ; Ziwei Xu
Author_Institution :
Cold & Arid Regions Environ. & Eng. Res. Inst., Lanzhou, China
Volume :
12
Issue :
2
fYear :
2015
fDate :
Feb. 2015
Firstpage :
259
Lastpage :
263
Abstract :
To study the multiscale characteristics of ecohydrological processes in the Heihe River Basin, an intensive flux observation matrix was established, which consisted of mainly 17 eddy covariance (EC) flux stations in a 5.5 km × 5.5 km area of the Zhangye oasis. Formal observations began in June and continued through September 2012. Before the main campaign, an intercomparison for all instruments (including 20 EC sets) was conducted in the Gobi desert. All the data provided a rare opportunity to assess the flux uncertainties of EC measurements. Three methods were chosen in this assessment. For the Gobi intercomparison, a simple method based on elementary error analysis could provide the systematic errors and random uncertainties for each EC; uncertainties for sensible heat flux were generally less than 10% in this area. For flux matrix observations, by using mainly the method of Mann and Lenschow (1994), the uncertainties estimated for sensible heat, latent heat, and CO2 fluxes were approximately 18%, 16%, and 21%, respectively, for the selected period. These were comparatively high because of the inherent heterogeneities of the oasis. The flux uncertainty quantification, including its probability distribution and the nonconstant variance characteristics shown for these data sets, is essential for flux data interpretation and applications, particularly the validation of relevant remote sensing models.
Keywords :
hydrological techniques; remote sensing; rivers; AD 2012 06 to 09; Gobi desert; Heihe river basin; HiWATER-MUSOEXE intensive flux matrix; Zhangye oasis; carbon dioxide flux; ecohydrological processes; eddy covariance flux measurement; elementary error analysis; flux data interpretation; flux matrix observations; latent heat; nonconstant variance characteristics; remote sensing models; sensible heat; sensible heat flux; Biological system modeling; Error analysis; Heating; Measurement uncertainty; Sea measurements; Systematics; Uncertainty; Eddy covariance (EC); land surface; measurement uncertainty; turbulent fluxes;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2014.2334703
Filename :
6873236
Link To Document :
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