A probabilistic methodology of quantifying the uncertainty associated with Doppler-Radar estimates and beyond!
Valmir Bucaj, U.S. Military Academy (West Point), presents this seminar.
In this talk I will describe a methodology that, in a probabilistic sense, quantifies the uncertainty associated with Doppler radar estimates of precipitation and the propagation of such uncertainties in the rainfall-runoff models. We will use various one-sample and two-sample Bootstrap tests to quantify the random variability in the sample estimates as well as in the estimated differences between samples obtained via Single and Dual Polarized Doppler radars, respectively. The focus of the talk will be more on explaining practical uses of this methodology and these statistical techniques in various contexts and less about the specifics of the Doppler Radar predictions.
(This is joint work with Hromadka, Walsh, and Scioletti, US Military Academy, West Point)