this is for holding javascript data
Brian Jackson edited The_fact_that_larger_faster__.tex
over 8 years ago
Commit id: edd9d08b4a7310d953ca1e423cb1f92b25c9840e
deletions | additions
diff --git a/The_fact_that_larger_faster__.tex b/The_fact_that_larger_faster__.tex
index 5ef10a6..9d0e288 100644
--- a/The_fact_that_larger_faster__.tex
+++ b/The_fact_that_larger_faster__.tex
...
The fact that larger, faster dust devils cover more area means that they are more likely to be recovered. We can quantify the recovery probability $f$ by taking the ratio of track areas for a given dust devil to the largest area for a dust devil, $A_{\rm max}$:
\begin{equation}
\label{eqn:recovery_bias}
f = \dfrac{A(\Gamma_{\rm act}, P_{\rm act})}{A_{\rm max}} = A_{\rm max}^{-1}\ \Gamma_{\rm act} \sqrt{\dfrac{P_{\rm act} - P_{\rm
min}}{P_{\rm min}}} th}}{P_{\rm th}}} \upsilon\
\tau. L.
\end{equation}
The devil with the deepest profile need not also have the widest profile or the largest velocity. \citet{Renn__2001} argue that the diameter of a vortex is set, in part, by the local vorticity field, while \citet{Balme_2012}, from their field studies, find no correlation between diameter and velocity from their field work. However, in quantifying the recovery probability $f(\Gamma_{\rm act}, P_{\rm act})$, it is only important that we apply a uniform normalizing factor to the whole population, and the denominator in Equation \ref{eqn:recovery_bias} just provides a convenient expression for that. Any other uniform normalization (e.g., using average parameters) would suffice.