The robustness of eddy correlation fluxes for Amazon rain forest conditions
By B. Kruijt, J. Elbers, C. Randow, A. Araújo, P. Oliveira, A. Culf, A. Manzi, A. Nobre, P. Kabat, E. Moors. 2004
139 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/1d83384bfbaa4fbfc4b86a4158dc281fa63823a8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Andrew D. Richardson
- Markus Reichstein
- Jens Kattge
- David Y. Hollinger
- Dario Papale
- R. Leuning
- Jason Beringer
- Lindsay B. Hutley
In Water Science and Technology
- Hoshin V. Gupta
- Jasper A. Vrugt
- Thorsten Wagener
- M. Clark
- Yuqiong Liu
- N. Bulygina
- P. Pokhrel
- Mojtaba Sadegh
Citations in the corpus
- The utility of the eddy covariance techniques as a tool in carbon accounting: tropical savanna as a case study (2005, background): “Further information on the theoretical and practical aspects of micrometeorological measurements may also be found in Leuning and Judd (1996) and Leuning (2004).”
- A fully multiple-criteria implementation of the Sobol' method for parameter sensitivity analysis (2012, methodology): “The selection of the u* threshold values for these sites were based on previous site-specific studies [Araújo et al., 2002; Kruijt et al., 2004; Saleska et al., 2003].”
- Statistical properties of random CO2 flux measurement uncertainty inferred from model residuals (2008, methodology): “Apart from these, a wide range of error sources contributes to bias, ranging from poor instrument maintenance and uncertain delays in sampling tubes to uncertainty on the height of the zero-plane displacement (which determines the magnitude of several frequency corrections to the data) (Kruijt et al”