Abstract
The eddy covariance (EC) technique provides data at high temporal resolution, continuously, day and night and potentially for multiple years. Despite the recent developments in the EC technique and the availability of instruments with low power consumption, system failures are unavoidable and create gaps in the measurements. Common problems in the data acquisition are power breaks, in particular when the power system is based on solar panels; damages to instruments, for example, due to animals or lightning; incorrect system calibrations; maintenances; and also human actions like vandalism or robbery. In addition to these events related to the data acquisition phase, there are also gaps introduced by the data quality filtering, where measurements are discarded if acquired under not ideal conditions.
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Papale, D. (2012). Data Gap Filling. In: Aubinet, M., Vesala, T., Papale, D. (eds) Eddy Covariance. Springer Atmospheric Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2351-1_6
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DOI: https://doi.org/10.1007/978-94-007-2351-1_6
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