Wednesday, 31 January 2024
Hall E (The Baltimore Convention Center)
Predictability and forecasting can be a challenge in regions Outside of the Continental United States (OCONUS) due to data sparseness. Part of the data sparseness includes information about averages and extremes. For this presentation, a five-year time series has been analyzed for GOES-16 Band 8 brightness temperatures (the "upper-level water vapor" channel, centered at 6.19 micrometers) over San Juan, Puerto Rico. Band 8 signals are used as proxies for different weather phenomena. A wavelet transformation is applied to the Band 8 time series, created to reveal periodicity in the signal. This presentation will discuss those multi-scale periodicities for San Juan and suggest how the different time periods correlate with observed weather.

