Abstract
Shrouded behind jargon and understood only by a small community, “signal processing” in radar meteorology seems to have a certain mystique associated with it. Its roots are embedded in the branches of mathematics and engineering that deal with the processing of time series data, in our case from received radar echoes. These weak radar echoes contain not only returns from weather (e.g., precipitation), but also a variety of artifacts that we wish were not present (e.g., ground clutter) and distract us from our primary goal of measuring precipitation rate, wind speed, turbulence, or any variety of more specialized atmospheric characteristics. Minimally, we wish to measure the intensity or power of the signal (the moment zero of the Doppler spectrum), its mean Doppler frequency (the first moment), and its variability in velocity (the second central moment) within many thousands of range cells per second.
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