Evaluating Simulated Raindrop Size Distributions and Ice Microphysical Processes With Polarimetric Radar Observations in a Meiyu Front Event Over Eastern China

Abstract

Evaluating simulated raindrop size distributions and ice microphysical processes with polarimetric radar observations in a Meiyu front event over eastern China.

Linking Ice‐Phase Microphysics to Raindrop Characteristics in Deep Convection: A Warm‐Sector Extreme Rainfall Case Study in Eastern China

“…In this study, the $$\mu -{\Lambda }$$ relationship ($$\mu =-0.029{{\Lambda }}^{2}+1.0686{\Lambda }-2.4799$$) is same as in Chen et al. (2021) and Wen et al. (2020), which is obtained from 2DVD observation at the Jiangning (JN) national weather station during two Meiyu seasons (2014, 2015).…”

“…HA is usually characterized by larger particle size and radar reflectivity compared to HDG, and the main difference between HDG and LDG is in density. This HID method has been applied to polarimetric radar observation in previous studies, and shown to obtain reasonable hydrometeor distribution structures for summer-time convection in Eastern China (Chen et al, 2019(Chen et al, , 2021Wen et al, 2017Wen et al, , 2018.…”

“…To make it possible, a relationship between the shape (μ) and slope (Λ) parameters in the raindrop gamma size distribution model: 𝐴𝐴 𝐴𝐴(𝐷𝐷) = 𝐴𝐴0𝐷𝐷 𝜇𝜇 exp(−Λ𝐷𝐷) is primarily established (Cao et al, 2008). By establishing proper 𝐴𝐴 𝐴𝐴− Λ relations, the method has been successfully applied in different convective systems in Eastern China (Chen et al, 2021;Wen et al, 2017Wen et al, , 2018Wen et al, , 2020. In this study, the et al (2017).…”

“…To make it possible, a relationship between the shape ( μ ) and slope (Λ) parameters in the raindrop gamma size distribution model: $$N(D)={N}_{0}{D}^{\mu }\,\mathrm{exp}(-{\Lambda }D)$$ is primarily established (Cao et al., 2008). By establishing proper $$\mu -{\Lambda }$$ relations, the method has been successfully applied in different convective systems in Eastern China (Chen et al., 2021; Wen et al., 2017, 2018, 2020). In this study, the $$\mu -{\Lambda }$$ relationship ($$\mu =-0.029{{\Lambda }}^{2}+1.0686{\Lambda }-2.4799$$) is same as in Chen et al.…”

“…However, due to limited direct observation in convective core with ample sources of turbulence, the specific role of graupel and hail (GH) on DSD and rainfall intensity has been poorly revealed. As a result, uncertainties of simulated GH have been extensively identified in different types of convective systems, causing unrealistic DSDs in model (Barnes & Houze, 2016; Chen et al., 2021; Iguchi et al., 2012; Naeger et al., 2020; Stanford et al., 2017; Wang et al., 2020). To improve predicted microphysical results in deep convection, more observational evidence about the link between ice‐phase microphysics and raindrop characteristics needs to be obtained.…”