Gao Yang, Cai Miao, Cao Zhiqiang, et al. Environmental conditions and cloud macro and micro features of “21·7” extreme heavy rainfall in Henan Province. J Appl Meteor Sci, 2022, 33(6): 682-695. DOI:  10.11898/1001-7313.20220604.
Citation: Gao Yang, Cai Miao, Cao Zhiqiang, et al. Environmental conditions and cloud macro and micro features of “21·7” extreme heavy rainfall in Henan Province. J Appl Meteor Sci, 2022, 33(6): 682-695. DOI:  10.11898/1001-7313.20220604.

Environmental Conditions and Cloud Macro and Micro Features of "21·7" Extreme Heavy Rainfall in Henan Province

DOI: 10.11898/1001-7313.20220604
  • Received Date: 2022-07-17
  • Rev Recd Date: 2022-10-20
  • Available Online: 2022-11-21
  • Publish Date: 2022-11-17
  • Meteorological satellites can provide more details of cloud, which can be used to analyze the development process of convective cloud in the rainstorm events. To investigate the "21·7" extreme heavy rainfall in Henan Province, satellite cloud image characteristics, the development and evolution process of precipitation clouds, macro structure and microphysical features are deeply analyzed by FY-4A satellite data, FY-3D satellite data, and ERA5 reanalysis data. Particularly, FY-4A satellite data are used to study the cloud microphysical features of this event for the first time. The boundary position and intensity of the water vapor dark area of continental high are relatively stable from 18 July to 22 July in 2021, and the subtropical high continues to extend westward. The stable saddle field is conductive to the long-term development and maintenance of the low vortex cloud system over Henan Province. Two streams of water vapor locate at the north central part of Henan Province, which is favorable for the occurrence of rainstorm at Zhengzhou on 20 July. The reorganization and adjustment of the convective system are due to the consolidation and development of several convective clouds over Henan Province on 20 July. From 1400 BT to 1600 BT, the boundary of cold cloud is over Zhengzhou, where the brightness temperature gradient value is large, indicating that the convection is in its development stage. Furthermore, the cloud optical thickness increases from 1200 BT to 1400 BT, and still maintains a large value at 1500 BT. It indicates that this period is critical for a large number of liquid particles to merge. The time when the cloud optical thickness reaches peak value is prior to that of the precipitation. The increasing trend and value of cloud optical thickness have great significance for the magnitude and occurrence time of heavy rainfall. The relations between cloud top temperature and particle effective radius(T-re relations) are analyzed by FY-4A data. The results show that the rain zone over Henan Province is the deepest at 1600 BT 20 July, and the effective radius of cloud particles at different heights maintain at 20-25 μm. It indicates that the updraft in the cloud is strong, which is conductive to the occurrence of heavy rainfall.
  • Fig. 1  Spatial distribution of precipitation from 18 Jul to 23 Jul in 2021

    Fig. 2  Brightness temperature(the grey) of FY-4A water vapor channel and ERA5 500 hPa height(the blue contour, unit:dagpm) from 20 Jul to 21 Jul in 2021

    Fig. 3  Spatial distribution of daily specific humidity of FY-3D(the shaded) and ERA5 850 hPa wind(the vector) from 20 Jul to 21 Jul in 2021

    Fig. 4  Brightness temperature of FY-4A long wave infrared channel from 1300 BT to 2000 BT 20 Jul in 2021

    (the black dot denotes Zhengzhou Station, the red line denotes -52℃)

    Fig. 5  FY-4A cloud macro characteristics and hourly precipitation of Zhengzhou from 0800 BT 20 Jul to 0800 BT 21 Jul in 2021

    (a)cloud top height and precipitation, (b)brightness temperature of long wave infrared channel and precipitation

    Fig. 6  FY-4A cloud microphysical characteristics and hourly precipitation of Zhengzhou Station from 0800 BT 20 Jul to 0800 BT 21 Jul in 2021

    (a)cloud droplet effective radius and precipitation, (b)cloud optical thickness and precipitation

    Fig. 7  Box-plot of FY-4A cloud optical thickness for 1 h rainfall(unit:mm) in Henan in summer of 2018-2021

    (the upper and lower boundaries of the box denote 75 and 25 percentiles;the median is denoted by the horizontal line inside the box;90 and 10 percentiles of values are denoted by the top and bottom ends of the whiskers, respectively)

    Fig. 8  FY-4A cloud top temperature on 20 Jul 2021

    (black boxes with numbers denote the typical cloud areas for T-re analysis)

    Fig. 9  Temperature and cloud droplet effective radius for the convective cloud clusters in the selected zone marked in Fig.8

    (the grey line denotes the number of samples, corresponding to the upper x-axis;curves with different colors denote variations of re with T under different proportion of samples) (a)zone 1, 1000 BT, (b)zone 2, 1200 BT, (c)zone 3, 1400 BT, (d)zone 4, 1600 BT

  • [1]
    Chyi D, He L F, Wang X M, et al. Fine observation characteristics and thermodynamic mechanisms of extreme heavy rainfall in Henan on 20 July 2021. J Appl Meteor Sci, 2022, 33(1): 1-15. doi:  10.11898/1001-7313.20220101
    [2]
    Zhang X, Yang H, Wang X M, et al. Analysis on characteristic and abnormality of atmospheric circulations of the July 2021 extreme precipitation in Henan. Trans Atmos Sci, 2021, 44(5): 672-687. https://www.cnki.com.cn/Article/CJFDTOTAL-NJQX202105006.htm
    [3]
    Duan T, Chen Q L, Liao Y J. Analysis of "21.7" extreme rainstorm formation process and disaster mechanism in Zhengzhou. J Meteor Sci, 2022, 42(2): 152-161. https://www.cnki.com.cn/Article/CJFDTOTAL-QXKX202202002.htm
    [4]
    Liang X D, Xia R D, Bao X H, et al. Preliminary investigation on the extreme rainfall event during July 2021 in Henan Province and its multi-scale processes. Chinese Sci Bull, 2022, 67(10): 997-1011. https://www.cnki.com.cn/Article/CJFDTOTAL-KXTB202210008.htm
    [5]
    Nie Y, Sun J. Moisture sources and transport for extreme precipitation over Henan in July 2021. Geophys Res Lett, 2022, 49, e2021GL097446.
    [6]
    Zhang S, Chen Y, Luo Y, et al. Revealing the circulation pattern most conducive to precipitation extremes in Henan Province of North China. Geophys Res Lett, 2022, 49, e2022GL098034.
    [7]
    Rao C H, Bi X X, Chen G H, et al. A Numerical study on the impacts of the offshore typhoons on dynamic and thermal conditions and water vapor flux of the "21·7" extreme rainstorm event in Henan Province. Chinese J Atmos Sci, 2022, 46(6): 1-18.
    [8]
    Bueh C, Zhuge A R, Xie Z W, et al. Water vapor transportation features and key synoptic-scale systems of the "7·20" rainstorm in Henan Province in 2021. Chinese J Atmos Sci, 2022, 46(3): 725-744. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXK202203013.htm
    [9]
    Wang X K, Cui C G, Wang J Y, et al. Diagnostic analysis on water vapor and jet characteristics of the July 2021 severe torrential rain in Henan Province. Meteor Mon, 2022, 48(5): 533-544. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX202205001.htm
    [10]
    Su A F, Xi L, Lyu X N, et al. Analysis on characteristics and causes of the July 2021 extreme rainstorm in northern Henan. Meteor Mon, 2022, 48(5): 556-570. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX202205003.htm
    [11]
    Li H, Wang X M, Zhu F. Comprehensive evaluations of multi-model eorecast performance of "21·7" Henan extreme rainstorm. Trans Atmos Sci, 2022, 45(4): 573-590. https://www.cnki.com.cn/Article/CJFDTOTAL-NJQX202204010.htm
    [12]
    Fang Z Y, Qin D Y. A review of satellite observed heavy rainfall cloud clusters. J Appl Meteor Sci, 2006, 17(5): 583-593. doi:  10.3969/j.issn.1001-7313.2006.05.008
    [13]
    Ma R Y, Zheng D, Yao W, et al. Thunderstorm feature dataset and characteristics of thunderstorm activities in China. J Appl Meteor Sci, 2021, 32(3): 358-369. doi:  10.11898/1001-7313.20210308
    [14]
    He L F, Chen S, Guo Y Q. Observation characteristics and synoptic mechanisms of Typhoon Lekima extreme rainfall in 2019. J Appl Meteor Sci, 2020, 31(5): 513-526. doi:  10.11898/1001-7313.20200501
    [15]
    Liu J, Zhang W J, Zhu Y J, et al. Case study on cloud properties of heavy rainfall based upon satellite data. J Appl Meteor Sci, 2007, 18(2): 158-164. http://qikan.camscma.cn/article/id/20070228
    [16]
    Zheng Q, Mao C Y, Ding L H, et al. Comparison of cloud characteristics between Typhoon Lekima(1909) and Typhoon Yagi(1814). J Appl Meteor Sci, 2022, 33(1): 43-55. doi:  10.11898/1001-7313.20220104
    [17]
    Zhou Y Q, Cai M, Ou J J, et al. Correlation between cloud characteristic parameters and precipitation. Trans Atmos Sci, 2011, 34(6): 641-652. https://www.cnki.com.cn/Article/CJFDTOTAL-NJQX201106004.htm
    [18]
    Fu Y F. Cloud parameters retrieved by the bispectral reflectance algorithm and associated applications. Acta Meteor Sinica, 2014, 72(5): 1039-1053. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXB201405018.htm
    [19]
    Chen Y Y, Tang R M, Zhou Y Q, et al. Microphysical characteristic parameters product retrieved by FY-2C/D satellite and its application in the precipitation analysis. Meteor Mon, 2009, 35(2): 15-18. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXX200902004.htm
    [20]
    Li T, Zheng Y F, Wang L W, et al. Ice cloud distribution and seasonal migration over land area of China based on MODIS data. J Appl Meteor Sci, 2017, 28(6): 724-736. doi:  10.11898/1001-7313.20170608
    [21]
    Gui H L, Zhuge X Y, Wei X C, et al. Study on the relationship between Himawari-8-based cloud parameters and precipitation. Meteor Mon, 2019, 45(11): 1579-1588.
    [22]
    Wang L, Zhou Y Q, Cai M, et al. Study on correlation between cloud characteristic parameters and precipitation in North China. Meteor Environ Sci, 2019, 42(3): 9-16. https://www.cnki.com.cn/Article/CJFDTOTAL-HNQX201903002.htm
    [23]
    Yang J, Zhang Z Q, Wei C Y, et al. Introducing the new generation of Chinese geostationary weather satellites, Fengyun-4. Bull Am Meteorol Soc, 2017, 98(8): 1637-1658.
    [24]
    Wang M, Chen Y Y, Zhou Y Q, et al. Comparative analysis of application effects of three cloud parameters of FY-4A in a rainstorm case. Torrential Rain and Disasters, 2022, 41(4): 396-404. https://www.cnki.com.cn/Article/CJFDTOTAL-HBQX202204004.htm
    [25]
    Wang T, Luo J L, Liang J L, et al. Comparisons of AGRI/FY-4A cloud fraction and cloud top pressure with MODIS/Terra measurements over East Asia. J Meteor Res, 2019, 33(4): 705-719.
    [26]
    Chen Y, Li W, Chen S, et al. Linkage between the vertical evolution of clouds and droplet growth modes as seen from FY-4A AGRI and GPM DPR. Geophys Res Lett, 2020, 47, e2020GL088312.
    [27]
    Chen Y, Chen G, Cui C, et al. Retrieval of the vertical evolution of the cloud effective radius from the Chinese FY-4 (Feng Yun 4) next-generation geostationary satellites. Atmos Chem Phys, 2020, 20(2): 1131-1145.
    [28]
    Xu W, Lyu D. Evaluation of cloud mask and cloud top height from Fengyun-4A with MODIS cloud retrievals over the Tibetan Plateau. Remote Sens, 2021, 13: 1418.
    [29]
    Tan Z, Ma S, Zhao X, et al. Evaluation of cloud top height retrievals from China's next-generation geostationary meteorological satellite FY-4A. J Meteor Res, 2019, 33: 553-562.
    [30]
    Liu B, Huo J, Lyu D. et al. Assessment of FY-4A and Himawari-8 cloud top height retrieval through comparison with ground-based millimeter radar at sites in Tibet and Beijing. Adv Atmos Sci, 2021, 38: 1334-1350.
    [31]
    Lai R, Teng S, Yi B, et al. Comparison of cloud properties from Himawari-8 and Fengyun-4A geostationary satellite radiometers with MODIS cloud retrievals. Remote Sens, 2019, 11: 1703.
    [32]
    Cui L L, Guo W, Ge W Q, et al. Comparisons of cloud top parameter of FY-4A satellite and its typhoon application research. Plateau Meteor, 2020, 39(1): 196-203. https://www.cnki.com.cn/Article/CJFDTOTAL-GYQX202001019.htm
    [33]
    Rosenfeld D, Lensky I M. Satellite-based insights into precipitation formation processes in continental and maritime convective clouds. Bull Amer Meteor Soc, 1998, 79: 2457-2476.
    [34]
    Lensky I M, Rosenfeld D. The time-space exchangeability of satellite retrieved relations between cloud top temperature and particle effective radius. Atmos Chem Phys, 2006, 6: 2887-2894.
    [35]
    Rosenfeld D, Wolff D B, Amitai E. The window probability matching method for rainfall measurements with radar. J Appl Meteor Clim, 1994, 33(6): 682-693.
    [36]
    Lensky I M, Rosenfeld D. Estimation of precipitation area and rain intensity based on the microphysical properties retrieved from NOAA AVHRR data. J Appl Meteor Clim, 1997, 36(3): 234-242.
    [37]
    Woodley W L, Rosenfeld D, Strautins A. Identification of a seeding signature in Texas using multi-spectral satellite imagery. J Wea Mod, 2000, 32: 37-52.
    [38]
    Rosenfeld D, Woodley W L, Lerner A, et al. Satellite detection of severe convective storms by their retrieved vertical profiles of cloud particle effective radius and thermodynamic phase. J Geophys Res, 2008, 113: D04208.
    [39]
    Dai J, Yu X, Liu G H, et al. Analyses of satellite retrieval microphysical properties of a rainstorm in the northern part of Shaanxi. Acta Meteor Sinica, 2010, 68(3): 387-397. https://www.cnki.com.cn/Article/CJFDTOTAL-QXXB201003012.htm
    [40]
    Zhou Y Q, Jiang Y H, Cai M. Characteristics and transformation of cloud and precipitation of the extreme torrential rain in Beijing on 21 July 2012. Trans Atmos Sci, 2015, 38(3): 321-332. https://www.cnki.com.cn/Article/CJFDTOTAL-NJQX201503004.htm
    [41]
    Cai M, Zhou Y Q, Zhu B. Comprehensive analysis of satellite and other observations from a convective clouds merging event. Trans Atmos Sci, 2011, 34(2): 170-179. https://www.cnki.com.cn/Article/CJFDTOTAL-NJQX201102008.htm
    [42]
    Hu J, Rosenfeld D, Ryzhkov A, et al. Synergetic use of the WSR-88D radars, GOES-R satellites, and lightning networks to study microphysical characteristics of hurricanes. J Appl Meteorol Clim, 2020, 59(6): 1051-1068.
    [43]
    Lin D, Wang W, Liu P, et al. FY-4A Satellite Based Cloud Microphysical Variation Analysis of Airborne Cloud Seeding Operations in Sichuan Basin. Int Arch Photogramm Remote Sens Spatial Inf Sci, XLⅡ-3/W9, 2019: 125-131.
    [44]
    Shpund J, Khain A, Rosenfeld D, et al. Effects of sea spray on microphysics and intensity of deep convective clouds under strong winds. J Geophys Res Atmos, 2019, 124: 9484-9509.
    [45]
    Wang J, Jiang J Y, Jiang J X. A Jinan heavy rainfall on 18 July 2007. J Appl Meteor Sci, 2009, 20(3): 295-302. http://qikan.camscma.cn/article/id/20090305
    [46]
    He L F, Chyi D, Yu W. Development mechanisms of the Yellow Sea and Bohai Sea cyclone causing extreme snowstorm in Northeast China. J Appl Meteor Sci, 2022, 33(4): 385-399. doi:  10.11898/1001-7313.20220401
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    • Received : 2022-07-17
    • Accepted : 2022-10-20
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    • 网络出版日期:  2022-11-21
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    • Published : 2022-11-17

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