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Vaisala IRIS - Page 96

Vaisala IRIS
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2. The algorithm converts the Z or T values to W (water content) values and integrates the
values in the layer.
Each data point is assigned a weighting corresponding to the height interval that it
represents in the layer. The result is an intermediate PPI product that has the total
water content as a function of surface range and azimuth.
3. Finally, the intermediate product is transformed to Cartesian and stored. If Z is
selected as the Product Data parameter, but at run time only T is available (or the other
way around), the product runs with the available data parameter.
When computing Layer Average Reflectivity (LAR-data), the output is stored in normal
reflectivity. The processing is nearly identical to VIL-data, except that the dBZ inputs are
converted to linear Z instead of W, and we divide by the layer thickness in the end. The
average Z is then converted back to dB.
1. Select Type > VIL.
2. In Data:Display, select which type of data is computed.
dBT:VIL Select input type to compute VIL data.
dBZ:VIL
dBZc:VIL
dBT Select input and output type to compute the layer average.
dBZ
dBZc
3. In Layer Top and Layer Bottom, select the top and bottom heights of the VIL layer in
kilometers and tenths of kilometers.
The bright band biases the VIL measurements. Select the VIL layer to
avoid the freezing level height.
CAUTION!
IRIS Product and Display User Guide M211319EN-H
94 RESTRICTED

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