
The recent devastating flooding in Connecticut took many by surprise, leaving residents and meteorologists alike questioning how such an event could occur with so little warning. The flooding was caused by a weather phenomenon known as "training," where storm cells repeatedly form over the same area, dumping heavy rain before dissipating and being replaced by new cells. This pattern led to radar estimates of over 16 inches of rain in some parts of southwest Connecticut, with surface observations confirming 6 to 12 inches across several towns.
The key factor behind this unusual event was "convergence," where horizontal winds force air upwards, increasing the potential for thunderstorms. Typically, such events are associated with tropical systems or stalled fronts, but this was not the case here. The convergence zone settled over Connecticut, causing repeated downpours. Unfortunately, computer models did not predict the intensity or location of the storm cells accurately, with most models showing the heaviest rain falling in nearby states. The unpredictable nature of convergence and its small-scale impact highlights the challenges in weather forecasting, as even a slight shift can drastically change the outcome.
This flooding event serves as a reminder of the unpredictable nature of weather and the challenges meteorologists face in making accurate predictions. Although rare, such events have happened before, as seen in the historic rainfall from Tropical Storm Diane in 1955. The term "1,000-year flood" has been used to describe the recent event, indicating a flood of this magnitude has a 0.1% chance of occurring in any given year.