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Eddy covariance flux errors due to random and systematic timing errors during data acquisition

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Figure

Figure 1. Schematic of the three types of misalignments commonin EC data. Given a reference time series (e.g., w, blue), the idealpaired gas concentration time series is perfectly aligned (green).The three red time series exemplify (from left to right): a
Figure 2. Exemplary temperature dependence curves for clocks with AT (a), BT (b), CT (c), and DT (d) cuts
Figure 3. Sketch of the timing error simulation via linear interpolation. Green dots represent originalsimulated as a time step larger than the nominal one, whereby the difference between the assigned and correct timestamps always increase Ts data points,
Figure 4. Simulation of RTEs. Covariances rto the covariances w-Ts obtained with a set of simulated random errors of different amplitudes (y axes) are compared w-Ts computed with the original time series (x axes), for the four sites
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