The origin-specific parameters are different for different types of time series. Below you will find the list of origin-specific parameters and explanations of their respective meaning:

▪Minimum cover [%]

The percentage indicates what percentage of the measured values must be present in the source time series in order to obtain a value of the target time series that is valid.

▪Maximum gap [values]

This value specifies the maximum number of consecutive time stamps in the source time series that can have invalid values for the target value to be valid.

▪Minimum coverage if last value is missing [%]

If the last value of the time series is not available, this additional setting of the minimum coverage serves as an additional check of the validity of the time series.

▪Percentile

A K percentile value defines the value of a measurement series below which K percent of all measured values lie.

▪Time-Hour-Start

Time with which the start of a time range within a day can be defined at which the calculation begins.

▪Calm condition

The Calm condition (in m/s) represents an adjustable limit value with which you can define up to which wind speed calm is assumed. The usual limit value is 0.5 m/s.

For values equal to or less than this wind speed, no assignment of the wind direction is made in the display of the concentration rose

▪Limit value/Threshold

The limit value specifies a value against which all measured values of a time series with time series type "Exceedance frequency" are to be checked for exceeding or falling below.

▪Time offset [sec]

With a time offset, you specify the shift between the time stamp and the end of the integration time. The integration time shifts by the specified offset seconds with a positive sign clockwise backwards or with a negative sign counterclockwise forwards.

With the time offset parameter you can create or calculate time slices (time raster and integration time equal to 24 hours) and time intervals (time raster and integration time unequal).

▪Parameter correction factor

This factor enables the subsequent correction of measured values based on manual input. This way, laboratory readings can be corrected later if laboratory conditions were not optimal. It is also conceivable that an incorrect calibration of a measuring device can be corrected in this way.

The correction is made by multiplying the measured values by the manually entered value. The correction factor is therefore dimensionless.