Abstract
Evaluations on Radar QPE using raindrop size distribution in Southern Luzon, Philippines
Highlights
Quantifying precipitation over time constitutes a number of significant limitations due to its highly discrete and variable nature (Kathiravelu et al 2016; Krajewski et al 2003)
The present study aims to derive robust and suitable dual-pol relations that can provide acceptable agreement with reference gauge data for the wet season in the Philippines, a country frequented by tropical storms and flooding
The study utilized the DSD data measured by the Parsivel disdrometer at Southern Luzon, Philippines to derive paired rainfall rate – radar reflectivity data using the T-matrix/Mueller method, and reflectivity data from the Tagaytay Radar to analyze the Yagi Event Monsoon (Yagi) in terms of rainfall and DSD at ground level
Summary
Quantifying precipitation over time constitutes a number of significant limitations due to its highly discrete and variable nature (Kathiravelu et al 2016; Krajewski et al 2003). via rain gauge; (2); remote sensing through satellites; and (3) use of ground-based weather radars. The obvious solution to overcome this is the deployment of a dense network of rain gauges that captures rainfall over a homogenous region. This is extremely costly especially in the mountainous regions where the density of rain gauges should theoretically be the highest. The use of Doppler weather radars for measuring rainfall provides a spatial range large enough to include several regions at a time and offers real-time precipitation information in high spatial and temporal resolution (Germann et al 2006; Scofield and Kuligowski 2003; Yoon et al 2012; You et al 2018). Studies show that weather radars may be preferred over rain gauges for three major reasons (Chandrasekar and Cifelli 2012; Dutta et al 2012; Löffler-Mang and Blahak 2001; Richards and Crozier 1983; Vieux and Bedient 1998): 1) it can include remote and inaccessible regions where the installation of rain gauges may prove nearly impossible; 2) it can cover areas where
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