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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/36025

Title: Optimal estimation of rain rate profiles from single-frequency radar echoes.
Authors: Haddad, Ziad S.
Im, Eastwood
Issue Date: 3-Nov-1992
Citation: pre-print
Abstract: The significant ambiguities inherent in the determination of a particular vertical rain intensity profile from a given time profile of radar echo powers measured by a downward-looking (spaceborne or airborne) radar at a single attelluating frequency are well-documented. Indeed, one already knows that by appropriately varying the parameters of the reflectivity-rain- rate (Z - R) and/or attenuation-rain-rate (k - R) relationships, one can produce several substantially different hypothetical rain rate profiles which would have the same radar power profile. Imposing the additional constraint that the path-averaged rain-rate be a given fixed number does reduce the ambiguities but falls far short of eliminating them. While we now know how to generate as many mutually ambiguous rain-rate profiles from a given profile of received radar reflectivities as we like, there remains to produce a quantitative measure to assess how likely each of these profiles is, what the appropriate "average" profile should be, and what the "variance" of these multiple solutions is. Of course, in order to do this, one needs to spell out the stochastic constraints that can allow us to make sense of the words "average" and "variance" in a mathematically rigorous way. SUell a quantitative approach would be particularly well-suited for such systems as the proposed Precipitation Radar of the Tropical Rainfall Measuring Mission (THMM). Indeed, one would then be able to use the radar reflectivities measured by the THMM radar from one particular look in order to estimate the most likely rain-rate profile that would have produced the measurements, as well as the uncertainty in the estimated rain-rates as a function of range. Such an optimal approach is described in this paper.
URI: http://hdl.handle.net/2014/36025
Appears in Collections:JPL TRS 1992+

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