| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 6537923 | Agricultural and Forest Meteorology | 2013 | 14 Pages | 
Abstract
												⺠A comprehensive quality assessment strategy for long-term eddy-covariance measurement is developed. ⺠Fundamentally based tests and algorithms are applied. ⺠This strategy comprises tests on high-frequency data, tests on fluxes and quantification of uncertainty. ⺠Its robustness and effectiveness is demonstrated for five test data sets. ⺠The resulting data quality assessment parameters are compared with alternative approaches.
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											Authors
												Matthias Mauder, Matthias Cuntz, Clemens Drüe, Alexander Graf, Corinna Rebmann, Hans Peter Schmid, Marius Schmidt, Rainer Steinbrecher, 
											