Technical note: A procedure to clean, decompose, and aggregate time series
<p>Errors, gaps, and outliers complicate and sometimes invalidate the analysis of time series. While most fields have developed their own strategy to clean the raw data, no generic procedure has been promoted to standardize the pre-processing. This lack of harmonization makes the inter-compari...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-01-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://hess.copernicus.org/articles/27/349/2023/hess-27-349-2023.pdf |