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.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
Matthias Mauder, Matthias Cuntz, Clemens Drüe, Alexander Graf, Corinna Rebmann, Hans Peter Schmid, Marius Schmidt, Rainer Steinbrecher,