This study develops and applies an algorithm to objectively identify land-sea-breeze-initiated precipitation. The algorithm relies on the use of three-hourly precipitation estimates from satellites. Pattern-recognition techniques are applied to the data to determine the occurrence and intensity of coastline-affected rainfall features. The effects of changing parameters in the algorithm are investigated. The algorithm is validated and evaluated with high-resolution radar data.
Having identified precipitation affected by coastlines, its climatological features and diurnal behaviur are studied. We find that a significant percentage of rainfall in the Maritime Continent results from coastline effects. We also find that major modes of climate variability, such as the Madden-Julia-Oscillation and the El NiƱo/Southern Oscillation have a strong effect on the existence of coastal precipitation features. We find that suppressed conditions of the MJO favor coastline-induced precipitation over the Maritime Continent to the extent that differences in rainfall between active and suppressed MJO conditions over the islands are small. This has potential implications for the dynamics of the MJO as it traverses the Maritime Continent Region.
In support of potentially improving parametrizations of coastal convection in GCMs, we also study the large-scale conditions that are associated with coastline-induced rainfall. In particular, we identify the conditions that give rise to or suppress the development of sea breezes and precipitating convection associated with them.