137 Reflectivity Climatology for Central São Paulo

Thursday, 29 September 2011
Grand Ballroom (William Penn Hotel)
Roberto Vicente Calheiros, University of the State of São Paulo, Bauru, São Paulo, Brazil
Manuscript (883.8 kB)

Handout (1.2 MB)

The Meteorological Research Institute - IPMet/UNESP , operates since the nineties two networked S-band Doppler radars at Bauru(BRU) and Presidente Prudente (PPR), covering quantitatively most of the central and western regions of the State of São Paulo. An approximate period of 17 years of routinely recorded reflectivity has been logged from thereon.

Due to the increasing demand from applications, more efforts are being carried out to enhance the quantification of rainfall as performed with the radars. Such is the case with the radar mean areal rainfall product, being developed to support flow estimates in catchments areas under the umbrella of the IPMets radars.

A central factor in that development is the Z-R conversion relationship to be used in the derivation of the rainfall. Basic to IPMetxs statistical approach to obtain that relationship is the cumulative probability distribution function of reflectivity.

In this paper statistics of reflectivity, which are stratified by daily interval are computed, essentially for BRU. The daily intervals were selected taking into account the hourly evolution along the day of the rainfall within radar coverage. An indication of the positive impact of such stratification on flow forecast for a river basin in the region was obtained in a recent work, and is mentioned here.

Different statistics were compiled for BRU spanning, in general, the period 1994-2010. They include runs 1)for the "critical" rainy and dry seasons, i.e., December to March and May to August, respectively, for the period as a whole, 2) for each month of the year, also for the whole period, and 3)for the "critical" rainy season, on a year-to-year basis. For this last case, statistics were also obtained for PPR which were compared to the BRU statistics. Computations were performed for each daily interval.

Preliminary results suggest a reasonable stability for the probability curves for BRU and, in general, a compatible behavior with reference to both the seasons and the daily intervals.

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