Articles | Volume 27, issue 2
https://doi.org/10.5194/hess-27-349-2023
https://doi.org/10.5194/hess-27-349-2023
Technical note
 | 
18 Jan 2023
Technical note |  | 18 Jan 2023

Technical note: A procedure to clean, decompose, and aggregate time series

François Ritter

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Latest update: 28 Mar 2024
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Short summary
This study offers a method to clean time series – data recorded at specific time intervals (hours, months, etc.). It cuts time series into small pieces (called bins) and rejects bins without enough data. Errors in each bin are then flagged with a popular method called the box plot rule, which has been improved in this study. Finally, each bin can be averaged to produce a new time series with less noise, fewer gaps, and fewer errors. This procedure can be generalized to any discipline.