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The seriesComparisonCheck check is available for testing constraints between multiple time series or parameters per time step.
This check verifies constraints between multiple time series sets or multiple parameters and automatically modifies the flags per time step when the required input data was available (reliable or doubtful) and the specified expression is evaluated and is true.
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The flagsComparisonCheck check is available for comparing and setting flags for multiple time series or parameters per time step.
This check determines for each timestep the most unreliable input flag within the input flags, and if it is more unreliable than the output flag it updates the output flag.
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Check for setting flags per time step using comparisons with neighbouring locations
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The spatialHomogeneityCheck check is available for comparing and setting flags for multiple time series per time step.
This check determines for the selected output timeseries at each timestep the mean error with neighbouring locations. If the mean error exceeds the specified absolute threshold or exceeds the specified relative factor times the standard deviation, then the output flag is updated to the selected output flag whenever that new flag is more unreliable than the existing flag.
Variable Definitions
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