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Statistical analysis of the continuous long term model simulations was used to quantify the hydrological performance of infiltration trenches.
The warming tendency bias in original model simulations was removed to a considerable extent by this assimilation scheme.
The realism of the plume model simulations was tested by comparing model calculations of plume concentrations with data of SF6 tracer concentrations and ozone concentrations.
The reliability of model simulations was tested using experimental data from a laboratory-scale biofilter bed column, packed with a mixture of peat and glass beads and inoculated with a pure strain of Pseudomonas putida.
The most significant difference among model simulations was glycerol prediction.
Only with the help of model simulations was it possible to connect the measured signaling dynamics with cell fate decisions that were measured at much lower stimulus concentrations.
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Data from our model simulations are available upon request.
The observed rainfall and two examples of model simulations are shown in Fig. 1a.
Output from all model simulations is available on request from the corresponding author (R.H.).
We employed the following approach: more than 100 000 model simulations were run in the absence of vaccination or screening.
MATLAB code for reproducing the main figures, statistical analyses and model simulations are freely available at: http://github.com/marionrouault/RouaultDayanFleming.
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