Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event
Abstract In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size dis...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, Gang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Science in China - Heidelberg : Springer, 1997, 65(2022), 10 vom: 04. Juli, Seite 1861-1878 |
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| Übergeordnetes Werk: |
volume:65 ; year:2022 ; number:10 ; day:04 ; month:07 ; pages:1861-1878 |
| Links: |
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| DOI / URN: |
10.1007/s11430-022-9972-9 |
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SPR051039435 |
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| 520 | |a Abstract In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions. | ||
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| 650 | 4 | |a Polarimetric radar |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Zhao, Kun |4 aut | |
| 700 | 1 | |a Lu, Yinghui |4 aut | |
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| 700 | 1 | |a Yang, Ji |4 aut | |
| 700 | 1 | |a Zhang, Shushi |4 aut | |
| 700 | 1 | |a Fan, Xueqi |4 aut | |
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10.1007/s11430-022-9972-9 doi (DE-627)SPR051039435 (SPR)s11430-022-9972-9-e DE-627 ger DE-627 rakwb eng Chen, Gang verfasserin aut Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions. The “21·7” Henan EHR event (dpeaa)DE-He213 Microphysical characteristics (dpeaa)DE-He213 Variability (dpeaa)DE-He213 Disdrometer (dpeaa)DE-He213 Polarimetric radar (dpeaa)DE-He213 Zhao, Kun aut Lu, Yinghui aut Zheng, Yuanyuan aut Xue, Ming aut Tan, Zhe-Min aut Xu, Xin aut Huang, Hao aut Chen, Haonan aut Xu, Fen aut Yang, Ji aut Zhang, Shushi aut Fan, Xueqi aut Enthalten in Science in China Heidelberg : Springer, 1997 65(2022), 10 vom: 04. Juli, Seite 1861-1878 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:65 year:2022 number:10 day:04 month:07 pages:1861-1878 https://dx.doi.org/10.1007/s11430-022-9972-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 AR 65 2022 10 04 07 1861-1878 |
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10.1007/s11430-022-9972-9 doi (DE-627)SPR051039435 (SPR)s11430-022-9972-9-e DE-627 ger DE-627 rakwb eng Chen, Gang verfasserin aut Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions. The “21·7” Henan EHR event (dpeaa)DE-He213 Microphysical characteristics (dpeaa)DE-He213 Variability (dpeaa)DE-He213 Disdrometer (dpeaa)DE-He213 Polarimetric radar (dpeaa)DE-He213 Zhao, Kun aut Lu, Yinghui aut Zheng, Yuanyuan aut Xue, Ming aut Tan, Zhe-Min aut Xu, Xin aut Huang, Hao aut Chen, Haonan aut Xu, Fen aut Yang, Ji aut Zhang, Shushi aut Fan, Xueqi aut Enthalten in Science in China Heidelberg : Springer, 1997 65(2022), 10 vom: 04. Juli, Seite 1861-1878 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:65 year:2022 number:10 day:04 month:07 pages:1861-1878 https://dx.doi.org/10.1007/s11430-022-9972-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 AR 65 2022 10 04 07 1861-1878 |
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10.1007/s11430-022-9972-9 doi (DE-627)SPR051039435 (SPR)s11430-022-9972-9-e DE-627 ger DE-627 rakwb eng Chen, Gang verfasserin aut Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions. The “21·7” Henan EHR event (dpeaa)DE-He213 Microphysical characteristics (dpeaa)DE-He213 Variability (dpeaa)DE-He213 Disdrometer (dpeaa)DE-He213 Polarimetric radar (dpeaa)DE-He213 Zhao, Kun aut Lu, Yinghui aut Zheng, Yuanyuan aut Xue, Ming aut Tan, Zhe-Min aut Xu, Xin aut Huang, Hao aut Chen, Haonan aut Xu, Fen aut Yang, Ji aut Zhang, Shushi aut Fan, Xueqi aut Enthalten in Science in China Heidelberg : Springer, 1997 65(2022), 10 vom: 04. Juli, Seite 1861-1878 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:65 year:2022 number:10 day:04 month:07 pages:1861-1878 https://dx.doi.org/10.1007/s11430-022-9972-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 AR 65 2022 10 04 07 1861-1878 |
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10.1007/s11430-022-9972-9 doi (DE-627)SPR051039435 (SPR)s11430-022-9972-9-e DE-627 ger DE-627 rakwb eng Chen, Gang verfasserin aut Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions. The “21·7” Henan EHR event (dpeaa)DE-He213 Microphysical characteristics (dpeaa)DE-He213 Variability (dpeaa)DE-He213 Disdrometer (dpeaa)DE-He213 Polarimetric radar (dpeaa)DE-He213 Zhao, Kun aut Lu, Yinghui aut Zheng, Yuanyuan aut Xue, Ming aut Tan, Zhe-Min aut Xu, Xin aut Huang, Hao aut Chen, Haonan aut Xu, Fen aut Yang, Ji aut Zhang, Shushi aut Fan, Xueqi aut Enthalten in Science in China Heidelberg : Springer, 1997 65(2022), 10 vom: 04. Juli, Seite 1861-1878 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:65 year:2022 number:10 day:04 month:07 pages:1861-1878 https://dx.doi.org/10.1007/s11430-022-9972-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 AR 65 2022 10 04 07 1861-1878 |
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10.1007/s11430-022-9972-9 doi (DE-627)SPR051039435 (SPR)s11430-022-9972-9-e DE-627 ger DE-627 rakwb eng Chen, Gang verfasserin aut Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022 Abstract In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions. The “21·7” Henan EHR event (dpeaa)DE-He213 Microphysical characteristics (dpeaa)DE-He213 Variability (dpeaa)DE-He213 Disdrometer (dpeaa)DE-He213 Polarimetric radar (dpeaa)DE-He213 Zhao, Kun aut Lu, Yinghui aut Zheng, Yuanyuan aut Xue, Ming aut Tan, Zhe-Min aut Xu, Xin aut Huang, Hao aut Chen, Haonan aut Xu, Fen aut Yang, Ji aut Zhang, Shushi aut Fan, Xueqi aut Enthalten in Science in China Heidelberg : Springer, 1997 65(2022), 10 vom: 04. Juli, Seite 1861-1878 (DE-627)385614748 (DE-600)2142896-7 1862-2801 nnns volume:65 year:2022 number:10 day:04 month:07 pages:1861-1878 https://dx.doi.org/10.1007/s11430-022-9972-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 AR 65 2022 10 04 07 1861-1878 |
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variability of microphysical characteristics in the “21·7” henan extremely heavy rainfall event |
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Variability of microphysical characteristics in the “21·7” Henan extremely heavy rainfall event |
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Abstract In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions. © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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Abstract In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions. © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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Abstract In this study, significant rainfall microphysical variability is revealed for the extremely heavy rainfall event over Henan Province in July 2021 (the “21·7” Henan EHR event) using a dense network of disdrometers and two polarimetric radars. The broad distributions of specific drop size distribution (DSD) parameters are identified in heavy rainfall from the disdrometer observations, indicating obvious microphysical variability on the surface. A K-means clustering algorithm is adopted to objectively classify the disdrometer datasets into separate groups, and distinct DSD characteristics are found among these heavy rainfall groups. Combined with the supporting microphysical structures obtained through radar observations, comprehensive microphysical features of the DSD groups are derived. An extreme rainfall group is dominantly formed in the deep convection over the plain regions, where the high number of concentrations and large mean sizes of surface raindrops are underpinned by both active ice-phase processes and efficient warm-rain collision-coalescence processes in the vertical direction. Convection located near orographic regions is characterized by restricted ice-phase processes and high coalescence efficiency of liquid hydrometeors, causing the dominant DSD group to comprise negligible large raindrops. Multiple DSD groups can coexist within certain precipitation episodes at the disdrometer stations, indicating the potential microphysical variability during the passage of convective system on the plain regions. © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
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