Citation: | Li Xin, Zhang Lu. Formation mechanism and microphysics characteristics of heavy rainfall caused by northward-moving typhoons. J Appl Meteor Sci, 2022, 33(1): 29-42. DOI: 10.11898/1001-7313.20220103. |
Fig. 1 The typhoon track, terrain height and precipitation distribution (a)the tracks of Typhoon Lekima and Typhoon Bavi from China Meteorological Administrator (the box denotes the range in next 3 panels), (b)terrain height of Qingdao (the shaded), location of Qingdao S-band polarimetric radar (SPOL) and precipitation phenomenon instrument(PPI) (black circles denote radius of 50 km, 100 km and 150 km), (c)accumulated precipitation of automatic rain gauges (colorful dots) from 0000 BT to 1600 BT on 11 Aug 2019 (the box denotes the station with maximum hourly precipitation), (d)accumulated precipitation of automatic rain gauges from 0200 BT to 1800 BT on 26 Aug 2020 (the same as in Fig. 1c)
Fig. 2 Cross-section of horizontal wind (the barb) and pseudo-equivalent potential temperature (the shaded) and vertical velocity (the contour, unit: Pa·s-1) along 36°N at 0200 BT on 11 Aug 2019(a) and 0800 BT on 26 Aug 2020(b)
(the triangle denotes the longitude of station with maximum hourly precipitation)
Fig. 4 Raindrop characteristics based on the PPI observation (a)scatterplot of Dm-lgNw for Typhoon Lekima and Typhoon Bavi (the averaged Dm-lgNw pairs for convective rain of different cases are given by corresponding shape, orange diamond represents average value of Lekima and Bavi, the solid(dashed) rectangle corresponds to the maritime (continental) convective cluster, the gray dashed line indicates the rainfall rate of 10 mm·h-1) (b)scatterplot of μ-Λ for Lekima and Bavi (the black solid line is the relation derived from black scatter points(R1h>5 mm·h-1), colorful dashed lines are for different cases), (c)the contribution of raindrops in different size to Nt in different rain rate, (d)the same as in Fig. 1c, but for rainfall(R)
Fig. 5 Vertical probability distributions (the shaded) and average profiles (the black solid line) of ZH, ZDR, KDP in the convective area (the box in Fig. 3) of Typhoon Lekima and Typhoon Bavi
Fig. 6 Frequency of each hydrometer class changing with height in the convective area (the box in Fig. 3) of Typhoon Lekima and Typhoon Bavi
Fig. 7 Dominant hydrometeor class profile and average profiles of ice water content and liquid water content in the convective area (the box in Fig. 3) of Typhoon Lekima
(from 0300 BT to 1300 BT on 11 Aug 2019) and Typhoon Bavi (from 0800 BT to 1500 BT on 26 Aug 2020)
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