AI OVERVIEW:

Each bubble is one city. Its X position shows how the number of wet days per year is changing; its Y position shows how the annual total precipitation is changing (both in units of change per decade). Bubble size reflects mean annual precipitation, so wetter climates appear as larger bubbles.
The four quadrants represent distinct hydrological regimes: upper-right (green) = increasing frequency and total; upper-left (blue) = fewer events but higher totals; lower-left (red) = decreasing frequency and total; lower-right (amber) = more frequent but lower-intensity precipitation.
81 cities fall in the upper-right quadrant, the most common pattern in the dataset and broadly consistent with a warmer atmosphere retaining and releasing more precipitable water.
Caribbean cities (orange bubbles) cluster in the lower half, indicating a drying tendency consistent with a poleward shift of the Inter-Tropical Convergence Zone and possible changes in Atlantic hurricane seasonality, though multiple mechanisms may be involved.
Cities in the upper-left quadrant (fewer rain days but higher totals) show a pattern consistent with storm intensification: a similar total annual rainfall concentrated into fewer, more extreme events. This pattern is physically plausible in a warming climate and may carry implications for flood risk, though station-level trend attribution requires careful analysis.