X-band dual-polarization radar-based hydrometeor classification for Brazilian tropical precipitation systems
X-band dual-polarization radar-based hydrometeor classification for Brazilian tropical precipitation systems
复制标题
基于 X 波段双偏振雷达的巴西热带降水系统水凝物分类
DOI：
10.5194/amt-12-811-2019
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发表时间：
2018
影响因子：
3.8
通讯作者：
T. Biscaro
中科院分区：
文献类型：
--
作者：
J. Ribaud;L. Machado;T. Biscaro
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 intercluster
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, graupel,
aggregates, and ice crystals. The main discrepancy between the wet and dry
seasons is the presence of both low- and high-density graupel 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
midlatitudes.
影响因子：
8
作者：
M. Wendisch;U. Pöschl;M. Andreae;Luiz A. T. Machado;R. Albrecht;H. Schlager;D. Rosenfeld;S. Martin-S.-M
通讯作者：
M. Wendisch;U. Pöschl;M. Andreae;Luiz A. T. Machado;R. Albrecht;H. Schlager;D. Rosenfeld;S. Martin-S.-M
伽玛相空间中亚马逊深对流云微物理过程的图示：介绍和潜在应用
影响因子：
6.3
作者：
Cecchini;Machado;L. A. T;Wendisch;Krämer;Andreae;Afchine;Albrecht;Artaxo;Borrmann;Fütterer;Klimach;Mahnke;Martin;Minikin;Molleker;Pöhlker
通讯作者：
Pöhlker