FLORIDA BAY RAINFALL

Principal Investigator: Frank Marks
Collaborating scientist(s):
Paul Willis (CIMAS)
Dean Churchill (UM/RSMAS)
Peter Dodge
Objective: This research attempts to provide fields of rainfall accumulation over Florida Bay and the Everglades using the National Weather Service WSR-88D radars in South Florida (Melbourne, Miami, Tampa, and eventually Key West) in support of the Florida Bay Program.
Rationale: We are evaluating a number of methods to produce the rainfall accumulations, together with techniques to fine tune the radar reflectivity/rainfall algorithms, and assess the accuracy of the radar rainfall estimates.
Method: HRD has developed a probability matching method (PMM) to derive the relationship between observed radar reflectivities (Ze) and concurrently measured rainfall rates from drop size distributions (DSD) from an aircraft disdrometer (Marks et al 1993). This method constrains the Ze-R function so that the probability density functions of the radar data and the drop size distribution(or gage) data match. The method allows actual radar data to be compared to simultaneous rainfall data, even at large ranges.
Accomplishment: Through one month of effort in FY 95 HRD has collected 18 h of NOAA P-3 aircraft drop size distributions (DSD) over three days (26, 28, and 29 September) in range of two South Florida WSR-88D radars.(figure 1)

HRD has also established a high temporal resolution rain gage and disdrometer site in the Everglades at the US National Park Service Research Center with the help of NOAA/AOML Ocean Acoustics Division (OAD).(figure 2)

The efforts over the next year will focus on five activities:


Key reference:
Marks, F.D., D. Atlas, and P.T. Willis, 1993: Probability-matched reflectivity-rainfall relations for a hurricane from aircraft observations. J. Appl. Meteor., 32, 1134-1141.
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