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As another recent example, \citet{Jackson_2015} conducted a terrestrial survey at El Dorado Playa in Nevada, deploying several pressure loggers that collected data over the course of two years. With more than 250 million time-series data points collected, they applied an automated detection scheme that involved smoothing the data stream over 1,000-s windows and searching for statistically significant outlier points. This scheme recovered more than 1,600 putative dust devil pressure dips. Figure \ref{fig:Jackson_data} shows a scatter plot of their reported detections. Unlike \citet{Jackson_2015}, we did not mask out detections with large $\Gamma_{\rm obs}^\prime$ and small $P_{\rm obs}$ (called ``unexpectedly shallow'' in \citet{Jackson_2015}). Again, applying an informal, quartic fit to the $\Gamma_{\rm obs}^\prime$ histogram achieves reasonable agreement, suggesting $n(\Gamma_{\rm act})$ is quadratic in $\Gamma_{\rm act}$. Applying a modified power-law as above to $P_{\rm obs}$ returns an reasonable fit for an index of -3, which ostensibly implies $n(P_{\rm act}) \propto P_{\rm act}^{-3}$.