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Validation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products over Italy

Authors :
S. Sebastianelli
Gianfranco Vulpiani
Federico Porcù
Leo Pio D'Adderio
Marco Petracca
Silvia Puca
M. PETRACCA, L. P. D’ADDERIO, F. PORCÙ, G. VULPIANI, S. SEBASTIANELLI, and S. PUCA
Publication Year :
2018

Abstract

The Ka–Ku Dual-Frequency Precipitation Radar (DPR) and the Microwave Imager on board the Global Precipitation Measurement (GPM) mission core satellite have been collecting data for more than 3 years, providing precipitation products over the globe, including oceans and remote areas where ground-based precipitation measurements are not available. The main objective of this work is to validate the GPM-DPR products over a key climatic region with complex orography such as the Italian territory. The performances of the DPR precipitation rate products are evaluated over an 18-month period (July 2015–December 2016) using both radar and rain gauge data. The ground reference network is composed of 22 weather radars and more than 3000 rain gauges. DPR dual-frequency products generally show better performance with respect to the single-frequency (i.e., Ka- or Ku-band only) products, especially when ground radar data are taken as reference. A sensitivity analysis with respect to season and rainfall intensity is also carried out. It was found that the normal scan (NS) product outperforms the high-sensitivity scan (HS) and matched scan (MS) during the summer season. A deeper analysis is carried out to investigate the larger discrepancies between the DPR-NS product and ground reference data. The most relevant improvement of the DPR products’ performance was found by limiting the comparison to the upscaled radar data with a higher quality index. The resulting scores in comparison with ground radars are mean error (ME) = −0.44 mm h−1, RMSE = 3.57 mm h−1, and fractional standard error (FSE) = 142%, with the POD = 65% and FAR = 1% for rainfall above 0.5 mm h−1.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....592e9606e92c4ac4aa2f80a8f86d260d