Quantity Precipition Estimation and Statistical Characteristics of Raindrop Size Distribution and Radar Data

Project Details


The statistical characteristics of raindrop size distributions (DSDs) and vertical structures of rainfall during the past ten years in Northern area of Taiwan are studied using measurements from a ground-based disdrometer network and radar network in the northern part of Taiwan. Based on rainfall intensity and vertical structure of radar reflectivity the observed rainfall will be classified into convective, stratiform and shallow precipitation types. The statistical characteristics of DSDs based on different ground-based disdrometers will be intercompared and analyzed. Based on the statistics of DSDs and radar reflectivity, the Z-R relationship will be constructed with respective to different season and different precipitation type. Finally rainfall estimation relationships using polarimetric radar measurements will be derived compared and discussed. An optimum radar QPE technique could be constructed in Taiwan. In the first year of this project, raindrop size distribution characteristics in summer season rainfall of two observational sites Taiwan and Palau in western Pacific are studied by using five years of impact type disdrometer data. The radar reflectivity rain rate relations of Taiwan and Palau have been investigated. The result had been published in J.G.R. SCI Journal.
Effective start/end date1/08/1831/10/19

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action
  • SDG 17 - Partnerships for the Goals


  • disdrometer
  • quantitative precipitation estimation (QPE)
  • quantitative precipitation forecast (QPF)


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