Abstract
Radar reflectivity data are widely used in rainfall estimates for flood warning. The quantitative precipitation estimates (QPE) of the radar take advantage of the relationship of radar reflectivity and rainfall observed. However, the lack of surface rainfall data sites makes the adjustment of temporal radar resolution in 5’ or 10’ cannot be provided in a lot of countries especially in Indonesia. Precipitation data in this region are commonly available in daily accumulation so that it is difficult to directly relationships between the reflectivity of radar and rainfall observed. The aim of this research is to get one method obtaining of daily radar QPE that don’t have the same temporal resolution in South Sulawesi, the part of the tropical Indonesian maritime continent. The daily radar’s QPE is done by using the accumulation of radar’s reflectivity on the several radius grids for capture rainfall in a location. Relation of reflectivity-rainfall observed uses linear models and will be evaluated by the root mean square error (RMSE) and correlation. The results show that the daily accumulation of radar reflectivity has the potential for radar’s QPE. While the accumulation radar reflectivity on the 0.50000 grid area is the best choice for rainfall estimates. The evaluation in daily rainfall estimates of the whole area shows that the stronger correlation in a location, the greater the RMSE, both use original reflectivity or interpolation result. Based on QPE in each station shows that the user of larger grid products smaller RMSE in almost all locations. Conversely, the area which has a correlation between 0.0 to 0.2 obtained the smallest RMSE. Meanwhile, the large deviation between model and rainfall observed occurs in the west coast of South Sulawesi. The rainfall fluctuation has an effect on radar’s QPE so that the availability of rainfall data observed with high temporal resolution is still needed in the evaluation.
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