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@Article{RibaudMachBisc:2018:XbDuRa,
               author = "Ribaud, Jean-Fran{\c{c}}ois and Machado, Luiz Augusto Toledo and 
                         Biscaro, Thiago Souza",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "X-band dual-polarization radar-based hydrometeor classification 
                         for Brazilian tropical precipitation systems",
              journal = "Atmospheric Measurement Techniques Discussions",
                 year = "2018",
               volume = "2018",
               number = "174",
             keywords = "hydrometeor identification, tropical microphysics, 
                         dual-polarization radar, clustering.",
             abstract = "The dominant hydrometeor types associated with Brazilian tropical 
                         precipitation systems are identified via research X-band 
                         dual-polarization radar deployed in the vicinity of the Manaus 
                         region (Amazonas) during both the GoAmazon2014/5 and 
                         ACRIDICON-CHUVA field experiments. The present study is based on 
                         an Agglomerative Hierarchical Clustering (AHC) approach that makes 
                         use of dual polarimetric radar observables (reflectivity at 
                         horizontal polarization ZH, differential reflectivity ZDR, 
                         specific differential phase KDP, and correlation coefficient 
                         \ρHV) and temperature data inferred from sounding balloons. 
                         The sensitivity of the agglomerative clustering scheme for 
                         measuring the inter-cluster dissimilarities (linkage criterion) is 
                         evaluated through the wet season dataset. Both the weighted and 
                         Ward linkages exhibit better abilities to retrieve cloud 
                         microphysical species, whereas clustering outputs associated with 
                         the centroid linkage are poorly defined. The AHC method is then 
                         applied to investigate the microphysical structure of both the wet 
                         and dry seasons. The stratiform regions are composed of five 
                         hydrometeor classes: drizzle, rain, wet snow, aggregates, and ice 
                         crystals, whereas convective echoes are generally associated with 
                         light rain, moderate rain, heavy rain, graupels, aggregates and 
                         ice crystals. The main discrepancy between the wet and dry seasons 
                         is the presence of both low- and highdensity graupels within 
                         convective regions, whereas the rainy period exhibits only one 
                         type of graupel. Finally, aggregate and ice crystal hydrometeors 
                         in the tropics are found to exhibit higher polarimetric values 
                         compared to those at mid-latitudes.",
                  doi = "10.5194/amt-2018-174",
                  url = "http://dx.doi.org/10.5194/amt-2018-174",
                 issn = "1867-8610",
             language = "en",
           targetfile = "X-band_dual-polarization_radar-based_hydrometeor_c.pdf",
        urlaccessdate = "29 nov. 2020"
}


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