Abstract

<p>Cold pools are produced by rain evaporation from<br>convective thunderstorms and play an important role <br>in many atmospheric phenomena (e.g. transition to deep convection and convective self-aggregation). From observational<br>and numerical studies, it has been found that intersecting cold pools<br>increase the likelihood of triggering convection.<br>We test this hypothesis by combining observational<br>radar data from Darwin (Australia) with a simple conceptual model.</p><p>We identify precipitation objects in the radar data. It is assumed that each rain event produces a cold pool<br>that is initialized at the center of the precipitation cell. Cold pools are simulated with a stochastic surface growth model.<br>The spatial coordinate of each collision event is recorded. <br>Collectively these points take the shape of a Voronoi diagram. <br>According to our hypothesis, the probability of new rain events should decay with spatial distance to the Voronoi.</p><p>Our preliminary results suggest that rain events cluster in the<br>vicinity of the Voronoi with a higher frequency that one would expect if cold pool collisions did not stimulate convection. <br>To conclude, our findings suggest that dynamic collisions between cold pools increase the likelihood of convection in the surrounding area.<br>This work allows us to study the effect of cold pools from radar data, despite cold pools being invisible to the radar images,<br>using a simple object-based model of convective cold pools. </p>

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