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Data compression to define information content of hydrological time series

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Figure

Fig. 1. Assigning code lengths proportional to minus the log of their probabilities leads to optimal compression
Fig. 2. The missing value in the flow time series can be guessed from the surrounding values (a guess would for example be the grayhistogram)
Table 1. Signals used in experiment A. For implementation details, see the Supplement.
Table 3. The performance, as percentage of the original file size, of well-known compression algorithms on various time series (see Table 1).The best results per signal are highlighted in italic.
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