Raindrop size distribution and microphysical features of the extremely severe rainstorm on 20 July 2021 in Zhengzhou, China

Ding, Jianfang; Tian, Wanshun; Xiao, Hui; Cheng, Bo; Liu, Lei; Sha, Xiuzhu; Song, Chunli; Sun, Yue; Shu, Weixi

doi:10.1016/j.atmosres.2023.106739

Cited by 10 publications

(7 citation statements)

References 65 publications

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“…The distribution of D mr also revealed that large raindrops with diameters greater than 1 mm mainly existed near the surface, and MORR_MOD simulated larger D mr than MORR (Figures 9c and 9c1). Zhang et al (2022) investigated the raindrop size distribution (DSD) characteristics of the "21.7" Henan rainstorm using disdrometer observations and found that the DSD in extreme precipitation period was characterized by a high number concentration and large mean particle size, which was similar to the results simulated by MORR_MOD.…”

Section: Analysis Of Microphysical Fieldsmentioning

confidence: 54%

“…The existence of large raindrops could also be verified with disdrometer observations. Zhang et al (2022) found that the mass-weighted mean diameter of raindrops during 0800-0900 UTC 20 July in Zhengzhou was up to 2.82 mm, which was very different from the convective precipitations in other regions of China. The distributions of hydrometeors simulated by the Morrison scheme are shown in Figures 8a1-8c4.…”

Section: Analysis Of Microphysical Fieldsmentioning

confidence: 70%

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Modification of Microphysical Parameterization Schemes and Their Application in the Simulation of an Extremely Heavy Rainfall Event in Zhengzhou

Yin,

Ping,

Cheng

et al. 2024

JGR Atmospheres

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In the present study, the Morrison and Thompson microphysics schemes in the Weather Research and Forecasting model were improved and used to simulate a record‐breaking heavy rainfall event occurred in Henan Province over central China during 19–21 July 2021. In the modified schemes, the terminal velocity of graupel and initial cloud droplet concentration were adjusted based on sensitivity tests. Results showed that the modified Morrison scheme (MORR_MOD) better captured the spatial distribution and temporal evolution of precipitation than the original scheme (MORR). Specifically, it produced a 40‐hr cumulative rainfall amount of 963 mm and an extreme hourly rainfall rate of 157.7 mm, which were closer to observations than MORR. Analysis of the dynamic and microphysical structures of the extreme‐rain‐producing convective clusters revealed that MORR_MOD predicted stronger updrafts, higher rain mass content and larger mean mass diameter of raindrops than MORR. By analyzing the tendencies of rain mass and number concentration, it was found that MORR_MOD predicted stronger accretion rates of cloud droplets by rain and weaker auto‐conversion rates of cloud droplets than MORR, which contributed to the high rain mixing ratio and low number concentration, respectively. In addition, MORR_MOD predicted stronger diabatic heating rates than MORR, which were primarily attributed to stronger condensation of water vapor, and may have been the reason why MORR_MOD simulated stronger updrafts.

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Section: Analysis Of Microphysical Fieldsmentioning

confidence: 54%

Section: Analysis Of Microphysical Fieldsmentioning

confidence: 70%

Modification of Microphysical Parameterization Schemes and Their Application in the Simulation of an Extremely Heavy Rainfall Event in Zhengzhou

Yin,

Ping,

Cheng

et al. 2024

JGR Atmospheres

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show abstract

“…The normalized occurrence frequency of mass‐weighted diameter ( D m ) versus logarithmic normalized intercept (log 10 N w ) of raindrops at 1 km height largely concentrates between the “maritime‐like” and “continental‐like” clusters (Bringi et al., 2003) with a mean D m larger than the “maritime‐like” regime and a mean log 10 N w much higher than the “continental‐like” regime (Figure 4a–4e). The raindrops are generally smaller in size than those of an extreme rainfall event over northern China which is warm‐rain microphysics dominated with active ice‐phase processes (Ding et al., 2023). The RSDs corresponding to the 95th percentile of K dp exhibit a larger mean droplets size and a higher concentration compared to their counterparts of median D m and median log 10 N w (cf.…”

Section: Resultsmentioning

confidence: 99%

How Do the Convective and Microphysical Characteristics of Extreme Precipitation Over the Pearl River Delta at Monsoon Coast Vary With Increasing Rainfall Extremity?

Gao,

Li,

Luo

et al. 2023

Geophysical Research Letters

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Using 5‐year dual‐polarization radar observations, variations of convective and microphysical characteristics of extreme precipitation features (EPFs) with increasing rainfall extremity over a monsoon coastal region (Pearl River Delta; PRD) in South China are investigated through comparing three groups of EPFs (ER1, ER2, and ER3). The more extreme rainfall shows a notable increase and decrease in the fractions of “intense” convection and “weak” convection, respectively. The higher rainfall extremity is accompanied by statistically significant increases in ice and liquid water contents but a roughly equal fraction of coalescence in liquid‐phase processes. While the raindrop size distributions of ER1 to ER3 similarly feature a mean size larger than “maritime‐like” droplets and a concentration much higher than “continental‐like” raindrops, the mean size and concentration of raindrops tend to increase slightly with the increasing rainfall extremity. Two sensitivity experiments on EFP definition confirm the robustness and representative of the above results.

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“…The parameter a of CDSDs are significantly larger than that of APSDs, and there are obvious differences of b and c for cloud and aerosol. The literature suggests that there is a certain functional relationship between the Gamma parameters b and c of CDSDs (Ding et al, 2023). Statistical analysis was conducted on the b and c parameters of APSDs and CDSDs, as shown in Fig.…”

Section: Apsds and Cdsds In The Vertical Altitudementioning

confidence: 99%

The algorithm of microphysical parameter profiles of aerosol and small cloud droplets based on the dual wavelength Lidar data

Di,

Wang,

Chen

et al. 2024

Preprint

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Abstract. This study proposed an inversion method of atmosphere aerosol or cloud microphysical parameters based on dual wavelength lidar data. The matching characteristics between aerosol/cloud particle size distribution and Gamma distribution were studied using aircraft observation data. The feasibility of particle effective radius retrieval from lidar ratio and backscatter ratio was simulated and studied. A method for inverting the effective radius and number concentration of atmospheric aerosols or small cloud droplets using backscatter ratio was proposed, and the error sources and applicability of the algorithm were analyzed. This algorithm was suitable for the inversion of uniformly mixed and single property aerosol layers or small cloud droplets. Compared with the previous study, this algorithm could quickly obtain the microphysical parameters of atmosphere particles and has good robustness. For aerosol particles, the inversion range that this algorithm can achieve was 0.3–1.7 μm. For cloud droplets, it was 1.0–10 μm. An atmosphere observation experiment was conducted using the multi-wavelength lidar developed by Xi'an University of Technology, and a thin cloud formation process was captured. The microphysical parameters of aerosol and cloud during this process were retrieved. The results clearly demonstrate the growth of effective radius and number concentration.

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Raindrop size distribution and microphysical features of the extremely severe rainstorm on 20 July 2021 in Zhengzhou, China

Cited by 10 publications

References 65 publications

Modification of Microphysical Parameterization Schemes and Their Application in the Simulation of an Extremely Heavy Rainfall Event in Zhengzhou

Modification of Microphysical Parameterization Schemes and Their Application in the Simulation of an Extremely Heavy Rainfall Event in Zhengzhou

How Do the Convective and Microphysical Characteristics of Extreme Precipitation Over the Pearl River Delta at Monsoon Coast Vary With Increasing Rainfall Extremity?

The algorithm of microphysical parameter profiles of aerosol and small cloud droplets based on the dual wavelength Lidar data

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