This article discusses the problem of identifying extreme climate events such as intense storms within large climate data sets. The basic storm detection algorithm is reviewed, which splits the problem into two parts: a spatial search followed by a temporal correlation problem. A new algorithm, "Stride Search," is introduced which is capable of searching for storms at all latitudes including the poles and has better performance than the commonly used grid point search.