2008
DOI: 10.1007/s10546-008-9267-0
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Eddy-Covariance Flux Measurements in the Complex Terrain of an Alpine Valley in Switzerland

Abstract: We measured the surface energy budget of an Alpine grassland in highly complex terrain to explore possibilities and limitations for application of the eddy-covariance technique, also for CO 2 flux measurements, at such non-ideal locations. This paper focuses on the influence of complex terrain on the turbulent energy measurements of a characteristic high Alpine grassland on Crap Alv (Alp Weissenstein) in the Swiss Alps during the growing season 2006. Measurements were carried out on a topographic terrace with … Show more

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Cited by 89 publications
(85 citation statements)
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References 22 publications
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“…This site covers the alpine altitudinal belt of the traditional Swiss Alpine agricultural system. As described in Hiller et al (2008), the soil type is defined as slightly humous to humous sandy loam and the climatology is comparable to dry climate because of the surrounding topography.…”
Section: Sitesmentioning
confidence: 99%
“…This site covers the alpine altitudinal belt of the traditional Swiss Alpine agricultural system. As described in Hiller et al (2008), the soil type is defined as slightly humous to humous sandy loam and the climatology is comparable to dry climate because of the surrounding topography.…”
Section: Sitesmentioning
confidence: 99%
“…an equation that is widely used, for example by Horst (1997), Su et al (2004), Ibrom et al (2007), Hiller et al (2008) and Mammarella et al (2009).…”
Section: Eddy-covariance Spectral Analysismentioning
confidence: 99%
“…Reliable measurements are restricted by many factors, such as complex conditions (e.g., topography and unfavorable weather), and corrections need to be applied when processing the turbulence data (Finnigan et al, 2003). Hammerle et al (2007) and Hiller et al (2008) have successfully used the EC method under such complex conditions with rigorous data processing. However, Mauder et al (2007a) have documented that different data processing schemes can lead to errors as large as 10%-15%.…”
Section: Introductionmentioning
confidence: 99%