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

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 005::page 907
    Author:
    Petracca, M.
    ,
    D’Adderio, L. P.
    ,
    Porcù, F.
    ,
    Vulpiani, G.
    ,
    Sebastianelli, S.
    ,
    Puca, S.
    DOI: 10.1175/JHM-D-17-0144.1
    Publisher: American Meteorological Society
    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.
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      Validation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products over Italy

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4260774
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    contributor authorPetracca, M.
    contributor authorD’Adderio, L. P.
    contributor authorPorcù, F.
    contributor authorVulpiani, G.
    contributor authorSebastianelli, S.
    contributor authorPuca, S.
    date accessioned2019-09-19T10:01:53Z
    date available2019-09-19T10:01:53Z
    date copyright5/1/2018 12:00:00 AM
    date issued2018
    identifier otherjhm-d-17-0144.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260774
    description abstractAbstractThe 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.
    publisherAmerican Meteorological Society
    titleValidation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products over Italy
    typeJournal Paper
    journal volume19
    journal issue5
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-17-0144.1
    journal fristpage907
    journal lastpage925
    treeJournal of Hydrometeorology:;2018:;volume 019:;issue 005
    contenttypeFulltext
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