Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event

Chen, Gang; Zhao, Kun; Lu, Yinghui; Zheng, Yu; Xue, Ming; Tan, Zhe-Min; Xu, Xin; Huang, Hao; Chen, Haonan; Xu, Fen; Yang, Jing; Zhang, Shushi; Fan, Xueqi

doi:10.1007/s11430-022-9972-9

Cited by 33 publications

(36 citation statements)

References 59 publications

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“…Based on the comprehensive observations, Chen et al. (2022) have revealed the significant variability of heavy rainfall DSDs. For the relatively deeper (shallower) heavy rainfall convection with active (restricted) ice‐phase processes, surface raindrops were identified with larger (smaller) mean size accordingly.…”

Section: Introductionmentioning

confidence: 99%

“…On July 2021, an extremely heavy rainfall event occurred in Henan Province, China (the “21·7” Henan EHR event), causing destructive floods and severe loss of lives and properties (Chen et al., 2022; Yin et al., 2021). The maximum 24‐hr rainfall reached 696.9 mm on July 20 in the Zhengzhou city, and a record‐breaking hourly rainfall (201.9 mm hr −1 ) was also observed.…”

Section: Introductionmentioning

confidence: 99%

“…Abundant surface observations of heavy rainfall DSDs during the event were collected by a dense network composed of 50 OTT Particle Size and Velocity (PARSIVEL) disdrometers (Figure 1a). Based on the comprehensive observations, Chen et al (2022) have revealed the significant variability of heavy rainfall DSDs. For the relatively deeper (shallower) heavy rainfall convection with active (restricted) ice-phase processes, surface raindrops were identified with larger (smaller) mean size accordingly.…”

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confidence: 99%

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Evaluating the Variability of Simulated Raindrop Size Distributions in the “21·7” Henan Extremely Heavy Rainfall Event

Chen

Hua

et al. 2023

Geophysical Research Letters

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Significant variability of raindrop size distributions (DSDs) has been observed in the “21·7” Henan extremely heavy rainfall event (the “21·7” Henan EHR event), while the capability of model to reproduce such complicated heavy rainfall DSDs is yet unclear. This study primarily evaluates the simulated DSDs of multiple microphysics schemes by comparing with the observations from a network of 50 disdrometers. Constrained DSD variability is identified in most schemes that the simulated raindrop mean sizes are gradually restricted around specific values as the growth of heavy rainfall intensity. The schemes are also incapable of reproducing the different raindrop mean sizes from deep convection and shallow convection. Moreover, simulations show unrealistic evolutions of raindrop mean size standard deviations as height declines. By investigating the empirical formula and performing sensitivity experiment, the constrained DSD variability in heavy rainfall is largely blamed on the insufficient parameterizations of the self‐collection (breakup) processes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Evaluating the Variability of Simulated Raindrop Size Distributions in the “21·7” Henan Extremely Heavy Rainfall Event

Chen

Hua

et al. 2023

Geophysical Research Letters

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“…This could be one of the key reasons why the parameterization of microphysical processes affects the variability of the southerly flow and indirectly influences the distribution and intensity of extreme rainfall. Additional sensitivity experiments with directly reduced or enhanced latent heating of condensation (e.g., 80 or120%) in the Thompson, Morrison and WDM6 experiments will be reported in a future paper, showing both a weaker and stronger simulated southerly flow and indicating that accurate latent heating in microphysics parameterization is not only crucial for the simulation of local rainfall (Bao et al., 2019, 2020; Chen et al., 2022), but also necessary for simulating key synoptic systems near areas of extreme rainfall, which may further improve our understanding of extreme precipitation and its key systems.…”

Section: Discussionmentioning

confidence: 98%

Indirect Effects of Binary Typhoons on an Extreme Rainfall Event in Henan Province, China From 19 to 21 July 2021. 3. Sensitivities to Microphysics Schemes

Zhao

Yin

et al. 2023

JGR Atmospheres

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It is well known that complex microphysical processes determine the characteristics of cloud particle populations as a response to the resolved atmospheric motion and as feedback to the atmospheric environment via the action of individual cloud particles Khain et al., 2015). Thus, microphysical processes are crucial in the accurate prediction of the intensity and areal extent of rainfall because they have important roles in the phase changes of water and the transfer of thermal energy (Ferrier et al., 1995;Gao et al., 2021;Xue et al., 2017). However, the representation of microphysical processes is still uncertain, even with state-of-the-art microphysics

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“…Although K DP is less dependent on DSDs, a localized R(K DP ) parameterization is suggested to minimize the impact of varying DSDs (e.g., Chen et al, 2022). In this study, the OTT disdrometer observations on 20 July 2021 were used as input to PyTMatrix (Leinonen, 2014) to calculate radar polarimetric variables.…”

Section: Parameterizations Of R(k Dp )mentioning

confidence: 99%

Assessing K_DP-based QPE for the record-breaking rainfall over Zhengzhou city on 20 July 2021

Moisseev²,

Luo³

et al. 2022

Preprint

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Abstract. Although radar-based quantitative precipitation estimation (QPE) has been widely investigated from various perspectives, very few studies have been devoted into extreme rainfall QPE. In this study, the performance of KDP-based QPE during the record-breaking Zhengzhou rainfall event occurred on 20 July 2021 was assessed. Firstly, OTT disdrometer observations were used as input to T-matrix simulation and different assumptions were made to construct R(KDP) estimators. Then, KDP estimates from three algorithms were compared for obtaining best KDP estimates, and gauge observations were used to evaluate R(KDP) estimates. Our results in general agree with previous known-truth tests, and provide more practical insights from the perspective of QPE applications. For rainfall rates below 100 mm h-1, R(KDP) agrees rather well with gauge observations, and the selection of KDP estimation method or controlling factor has minimal impact on QPE performance provided that the used controlling factor is not too extreme. For higher rain rates, significant underestimation was found for R(KDP), and a smaller window length results in higher KDP thus less underestimation of rain rates. We show that the “best KDP estimate”-based QPE cannot reproduce the gauge measurement of 201.9 mm h-1 with commonly used assumptions for R(KDP), and potential responsible factors were discussed. We further show that the gauge with the 201.9 mm h-1 report was located at the vicinity of local rainfall hot spots during 16:00 ∼ 17:00 LST, while the 3-h rainfall accumulation center was located at the southwest of Zhengzhou city.

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Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event

Cited by 33 publications

References 59 publications

Evaluating the Variability of Simulated Raindrop Size Distributions in the “21·7” Henan Extremely Heavy Rainfall Event

Evaluating the Variability of Simulated Raindrop Size Distributions in the “21·7” Henan Extremely Heavy Rainfall Event

Indirect Effects of Binary Typhoons on an Extreme Rainfall Event in Henan Province, China From 19 to 21 July 2021. 3. Sensitivities to Microphysics Schemes

Assessing K_DP-based QPE for the record-breaking rainfall over Zhengzhou city on 20 July 2021

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Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event

Cited by 33 publications

References 59 publications

Evaluating the Variability of Simulated Raindrop Size Distributions in the “21·7” Henan Extremely Heavy Rainfall Event

Evaluating the Variability of Simulated Raindrop Size Distributions in the “21·7” Henan Extremely Heavy Rainfall Event

Indirect Effects of Binary Typhoons on an Extreme Rainfall Event in Henan Province, China From 19 to 21 July 2021. 3. Sensitivities to Microphysics Schemes

Assessing KDP-based QPE for the record-breaking rainfall over Zhengzhou city on 20 July 2021

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Assessing K_DP-based QPE for the record-breaking rainfall over Zhengzhou city on 20 July 2021