| Abstrakt: |
The increased frequency of flooding in the metropolitan area of São Paulo (MASP), São Paulo, Brazil, makes it necessary to have an accurate precipitation monitoring and nowcasting system to mitigate socioeconomic impacts. This research is on the use of remote sensing with dual Doppler X-band weather radar (MXPOL) to improve the high spatiotemporal resolution rainfall rates estimation in MASP. The methodology includes an initial correction of the polarimetric data, namely, the specific differential phase (KDP) to estimate the attenuation correction, the adjustment of rainfall rates by polarimetric variables relationships, and the error estimation by cross-validation with rain gauges. Results show that the five relationships have similar performance with just a slight difference between the use of power relationships (e.g., reflectivity (Z) and differential reflectivity (ZDR)) or frequency (e.g., specific differential phase) variables. The average error was 1.1 mm for the mean square error, 29% for the relative error, and 0.8 for the correlation coefficient. An adjustment of coefficient specifically for MXPOL was significantly advantageous for the rainfall rate estimation with R (Z, ZDR) and R (ZDR, KDP) relationships. [ABSTRACT FROM AUTHOR] |
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