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17 octobre 2023
- doi: 10.57745/ULM3BC
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Earth and Environmental Sciences Mathematical Sciences Physics preprocessing anomalies ermerged sensor river temperature time series outliers groundwaterSujets proches
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Nelly MOULIN et al., « Scripts for a new identification process for singularities in time series », Recherche Data Gouv, ID : 10.57745/ULM3BC
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In the frame of the QUAE project, an identification procedure was develop to sort singular behaviours in river temperature time series. This procedure was conceived as a tool to indentify particular behaviours in time series despite non continuous measurements and regardless the type of measurement (temperature, streamflow...). Three types of singularities are identified: extreme values (in some cases similar as outliers), roughened data (such as the difference between water temperature and air temperature) and buffered data (such as signals caused by groundwater inflows).