Measurements
Environmental digital twins rely on in situ data for two critical functions: input data up to thereal-time controland thevalidation of models.
By combining these two uses, in situ data ensure the reliability, robustness, and operational applicability of the digital twin.
Integration of static and real-time data
Sensors deployed in the field (levels, flows, salinity, temperature, swell...) provide continuous data, transmitted via SCADA or IoT protocols. This data allows for the updating of model forcings or internal states, ensuring a coherent and dynamic representation of the studied system.
Validation of simulations
In situ measurements are also essential to confront the results of the digital twin with the observed reality. They allow for the quantification of model performance (errors, biases, correlations) and the adjustment of physical or numerical parameters.
