708 Time Series of GOES-16 Band 8 over San Juan, Puerto Rico

Wednesday, 31 January 2024
Hall E (The Baltimore Convention Center)
Alexa Ross, CIMSS, Madison, WI; and S. S. Lindstrom and V. C. Mayta

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.
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