# Wet Antenna Attenuation (WAA)


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## Constant wet antenna attenuation

The simplest wet antenna attenuation model involves subtracting a
constant value from the measured attenuation. This method was originally
proposed by Overeem et al. (2013), who obtained a value of 2.3 dB by
calibrating the model using 12 days of data from the Netherlands. We use
this value as a reasonable default; however, it should be calibrated for
each specific region and deployment.

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<a
href="https://github.com/rainsmore/raincell/blob/main/raincell/waa.py#L12"
target="_blank" style="float:right; font-size:smaller">source</a>

### rm_constant_waa

``` python

def rm_constant_waa(
    att:Dataset, # ds containing the attenuation time series
    waa:float=2.3, # dB constant wet antenna attenuation
)->Dataset:

```

*Remove a constant wet antenna attenuation from the attenuation time
series.*

#### References

- Overeem, A., H. Leijnse, and R. Uijlenhoet, 2013: Country-wide
  rainfall maps from cellular communication networks. Proceedings of the
  National Academy of Sciences, 110, 2741–2745,
  doi:10.1073/pnas.1217961110.