Combining Raindrop Particle Size and Radar Massive Data in Quantitative Precipitation Estimation Technology Improvement and Related Disaster Prevention

Project Details

Description

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 ofTaiwan. 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 measurementswill be derived compared and discussed. An optimum radar QPE technique could be constructed in Taiwan. In the first year of this project, the DSD data base was constructed, especially for the format and quality control on JWD disdrometer data. Moreover, there were two papers have been published in JGR. In the future works, by using these data base and retrieved dual polarization radar parameters, the optimal QPE technique could be improved with several formulas. According to the previous experience on the characteristics of DSD and precipitation, the Parsivel, doppler and duel-polarization radar data from CWB network around Taiwan in different regions could be analyzed, in order to realize precipitating cloud microphysics process and quantitative precipitation estimation.. The kinetic energy with which raindrops impact the soil surface is one of the key factors that responsible for the soil erosion. The rainfall intensity and kinetic energy relations obtained from the RSD play a key role in the rainfall-induced soil erosion. Estimating kinetic energy from rainfall intensity records by using empirical kinetic energy-rainfall intensity (KE-I) relationships is the most widely used method.In this study rainfall erosivity by using RSD information will be conducted and KE-I relations for different precipitations types over Taiwan will be studied too.
StatusFinished
Effective start/end date1/08/2031/10/21

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 2 - Zero Hunger
  • SDG 11 - Sustainable Cities and Communities
  • SDG 17 - Partnerships for the Goals

Keywords

  • raindrop size distribution
  • quantitative precipitation estimation

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