降水及微物理特征是气象领域的热点问题，常规观测不能满足对西北太平洋台风降水及微物理特征的深入研究。本项目利用最新的全球降水观测计划（GPM）双频测雨雷达（DPR）观测的降水及反演的微物理参量，结合国家站雨量计观测的降水、葵花8先进葵花成像仪探测的云顶亮温信息，建立GPM DPR与雨量计降水的资料集、轨道级的台风云、降水及微物理融合资料集及相应的逐月格点融合资料。在此基础上，探讨GPM DPR对多时间尺度不同等级台风和非台风降水的探测能力；揭示不同下垫面、不同发展阶段、不同相态的台风降水的微物理结构（归一化截距参数Nw和质量权重平均直径Dm等）的分布特性；及云顶亮温与降水微物理结构特征等的统计关系，本项目将为GPM DPR观测产品在数值和水文模式中应用提供观测依据、加强对台风降水发生发展过程微物理特征的认识，同时为数值模式中水成物微物理参数化方案提供观测依据。

Precipitation and its microphysical characteristics has been a hot topic in the field of meteorology. Due to the limitations of traditional observation methods, the studies on the precipitation and the microphysical processes of hydrometers are relatively rare for tropical cyclones (TCs) over the Northwest pacific as yet. On the basis of the precipitation and microphysical parameters detected by dual-frequency precipitation radar (DPR) abroad Global Precipitation Measurement (GPM) , associated with the rainfall observed from national gauge stations and the cloud information detected from Advanced Himawari Imager (AHI) aboard Himawari-8, merged datasets of surface rainfall from DPR and gauges, merged datasets of cloud, precipitation profile and microphysical parameters, and the correspondent monthly gridded merged datasets are established. Using these datasets, the detection ability of DPR in characterizing rainfall for TCs and non-tropical cyclones are evaluated from multi-temporal and spatial scales; the microphysical characteristics (the normalized intercept, Nw; the mass-weighted mean diameter, Dm; et al.) are investigated for TC clouds at different phases at different intensities over different underlying surfaces; the statistical relationship between cloud brightness temperature and the precipitation microphysical structures and so on are also investigated for TCs. This study will help to provide the observational evidence for the application of GPM DPR products to numerical weather and hydrological models; improve our understanding of the changes of precipitation microphysics during the developing and dissipating stages of TCs, and provide observational evidence of the optimal microphysical parameterization schemes of hydrometers in numerical models.