| contributor author | Petracca, M. | |
| contributor author | D’Adderio, L. P. | |
| contributor author | Porcù, F. | |
| contributor author | Vulpiani, G. | |
| contributor author | Sebastianelli, S. | |
| contributor author | Puca, S. | |
| date accessioned | 2019-09-19T10:01:53Z | |
| date available | 2019-09-19T10:01:53Z | |
| date copyright | 5/1/2018 12:00:00 AM | |
| date issued | 2018 | |
| identifier other | jhm-d-17-0144.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4260774 | |
| description abstract | AbstractThe 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. | |
| publisher | American Meteorological Society | |
| title | Validation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products over Italy | |
| type | Journal Paper | |
| journal volume | 19 | |
| journal issue | 5 | |
| journal title | Journal of Hydrometeorology | |
| identifier doi | 10.1175/JHM-D-17-0144.1 | |
| journal fristpage | 907 | |
| journal lastpage | 925 | |
| tree | Journal of Hydrometeorology:;2018:;volume 019:;issue 005 | |
| contenttype | Fulltext | |