FY-4A卫星闪电资料与ADTD闪电资料在四川省冕宁暴雨中的对比分析及数值模拟

赵婥; 徐国强; 黄守友; 程佳佳

doi:10.3878/j.issn.1006-9895.2111.21110

FY-4A卫星闪电资料与ADTD闪电资料在四川省冕宁暴雨中的对比分析及数值模拟

doi: 10.3878/j.issn.1006-9895.2111.21110

1.
中国气象科学研究院, 北京100081
2.
中国气象局地球系统数值预报中心, 北京100081
3.
中国科学院软件研究所, 北京100190

基金项目: 国家重点研发计划项目2018YFC1506603，风云卫星应用先行计划 FY-APP-ZX-2022.01，国家自然科学基金项目42175167

详细信息

作者简介:
赵婥，女，1998年出生，硕士研究生，主要从事数值模式的物理过程研究。E-mail: zhao_chuo@163.com

通讯作者:
徐国强，E-mail: xugq@cma.gov.cn

中图分类号: P456
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- 被引次数: 0
出版历程
- 收稿日期: 2021-06-28
- 录用日期: 2021-11-15
- 网络出版日期: 2022-03-02
- 刊出日期: 2023-05-15

Comparative Analysis and Numerical Simulation of Lightning Detection Data from FY-4A Satellite and ADTD for Rainstorm in Mianning, Sichuan Province

1.
Chinese Academy of Meteorological Sciences, Beijing 100081
2.
Center for Earth System Modeling and Prediction of China Meteorological Administration, Beijing 100081
3.
Institute of Software, Chinese Academy of Sciences, Beijing 100190

Funds: National Key Research and Development Program of China (Grant 2018YFC1506603), Fengyun Application Pioneering Project (Grant FY-APP-ZX-2022.01), National Natural Science Foundation of China (Grant 42175167)

摘要

摘要: FY-4A卫星闪电资料与地基ADTD（Advanced Direction and Time of arrival Detecting system）闪电资料对于研究暴雨等强对流天气具有一定的指示意义，通过对四川省冕宁暴雨个例的研究，对比分析了这两种闪电资料的差别，设计了将两种闪电资料引入数值预报模式的多组数值试验。结果表明：（1）两种闪电资料在不同地区有不同的探测效果，ADTD闪电资料范围更广且分散，FY-4A卫星监测到的闪电数量更密集、分布更集中；两种闪电资料在进入模式之后所转化成的代理雷达回波具有很好的一致性；对于低频次的闪电来说，ADTD闪电定位仪可能比FY-4A闪电成像仪探测效率更高。（2）引入任何一种闪电资料都对降水预报具有正效果，其中ADTD闪电资料的应用对于短时降水预报准确率的提高更为有效。（3）两种闪电资料对于云微物理量的调整作用，在不同的区域有不同效果，说明这两种闪电资料的分布不完全一致，揭示出这两种闪电资料具有一定的互补性。
- 闪电资料 /
- 对比分析 /
- 云分析 /
- 数值试验
Abstract: Lightning data obtained from the FY-4A satellite and ADTD (Advanced Direction and Time of arrival Detecting system) are significant for studying rainstorms and severe convection weather. This paper compares and analyzes the differences between the two lightning data through a case study of a rainstorm in Mianning, Sichuan Province. A series of numerical experiments are designed to introduce the two kinds of lightning data into a numerical prediction model. The main conclusions are: (1) Two kinds of lightning data have different detection effects in different areas. The ADTD lightning data are more extensive and scattered, whereas the number and distribution of lightning detected by the FY-4A satellite are more intensive. However, there is a good consistency between the two kinds of surrogate radar echo transformed by the two lightning data kinds. For low-frequency lightning, the ADTD lightning localizer may be more efficient than FY-4A LMI (Lightning Mapping Imager). (2) The introduction of these two types of lightning data has positive effects on precipitation forecast, and the application of ADTD lightning data is more effective for improving the accuracy of short-time precipitation forecast. (3) The two types of lightning data have different effects on the cloud microphysical quantities adjustment in different regions. This shows that the distribution of the two types of lightning data is not entirely consistent, but they are complementary to each other.
- Lightning data /
- Comparative analysis /
- Cloud analysis /
- Numerical experimentation

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图 1 暖季（a）不同闪电频次对应的最大雷达反射率因子，（b）四组反射率的权重系数随高度变化

Figure 1. (a) Maximum radar reflectivity corresponding to different lightning frequencies and (b) weight coefficients of four groups of reflectivity varying with height in the warm season

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图 2 2020年6月12日12时（北京时，下同）所选区域（23.5°～35.5°N, 96°～111°E）实际雷达反射率回波（单位：dBZ）。红色方框区域表示冕宁地区

Figure 2. Actual radar reflectivity (unit: dBZ) in selected areas (23.5°–35.5°N, 96°–111°E) at 1200 BJT (Beijing time) 12 June 2020. The red square area represents Mianning area

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图 3 2020年6月26日12时（a）ADTD闪电和（b）FY-4A卫星LMIE闪电资料散点图。区域① 、 ② 、③分别表示四川西北部、中南部冕宁地区、东南部地区，下同

Figure 3. Scatter plots of (a) ADTD (Advanced Direction and Time of arrival Detecting system) lightning and (b) FY-4A satellite LMIE (Lightning Mapping Imager Event) lightning data at 1200 BJT 12 June 2020. Regions ①, ②, ③ represent northwest, Mianning area in central south, southeast of Sichuan Province, respectively, the same below

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图 4 2020年6月26日12时（a）ADTD闪电资料、（b）FY-4A卫星闪电资料转换为雷达回波的分布（单位：dBZ）

Figure 4. Radar echo (units: dBZ) changed from (a) ADTD lightning data and (b) FY-4A satellite LMIE lightning data at 1200 BJT 12 June 2020

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图 5 2020年6月26日12时雷达资料与（a）ADTD闪电资料、（b）FY-4A卫星闪电资料转换的代理雷达回波分布（单位：dBZ ）以及（c）二者差值（单位：dBZ ）

Figure 5. Proxy radar echo (units: dBZ ) converted from radar and (a) ADTD lightning data, (b) FY-4A satellite LMIE lightning data, (c) the differences (units: dBZ ) between Fig. a and Fig. b at 1200 BJT 12 June 2020

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图 6 2020年6月26日12时代理雷达回波相关性：（a）ADTD闪电资料与FY-4A闪电资料转换的代理雷达回波；（b）加入雷达资料的基础上，ADTD闪电资料与FY-4A闪电资料转化的雷达代理回波

Figure 6. Proxy radar echo correlation: (a) Proxy radar echo converted from ADTD lightning data and FY-4A satellite LMIE lightning data; (b) proxy radar echo converted from ADTD lightning data and FY-4A satellite LMIE lightning data on the basis of adding radar data at 1200 BJT 12 June 2020

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图 7 2020年6月26日12时至13时1 h累计降水量（单位：mm）：（a）实际降水；（b）test 1.1试验；（c）test 1.2试验；（d）test 2.1试验；（e）test 2.2试验；（f）test 2.3试验

Figure 7. One-hour accumulated rainfall (units: mm) from 1200 BJT to 1300 BJT on 26 June 2020: (a) The actual precipitation; (b) experiment test 1.1; (c) experiment test 1.2; (d) experiment test 2.1; (e) experiment test 2.2; (f) experiment test 2.3

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图 8 2020年6月26日12时至15时3 h累计降水量（单位：mm）：（a）实际降水；（b）test 1.1试验；（c）test 1.2试验；（d）test 2.1试验；（e）test 2.2试验；（f）test 2.3试验

Figure 8. Three-hour accumulated rainfall (units: mm) from 1200 BJT to 1500 BJT on 26 June 2020: (a) The actual precipitation; (b) experiment test 1.1; (c) experiment test 1.2; (d) experiment test 2.1; (e) experiment test 2.2; (f) experiment test 2.3

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图 9 2020年6月26日12时至18时6 h累计降水量（单位：mm）：（a）实际降水；（b）test 1.1试验；（c）test 1.2试验；（d）test 2.1试验；（e）test 2.2试验；（f）test 2.3试验

Figure 9. Six-hour accumulated rainfall (units: mm) from 1200 BJT to 1800 BJT on 26 June 2020: (a) The actual precipitation; (b) experiment test 1.1; (c) experiment test 1.2; (d) experiment test 2.1; (e) experiment test 2.2; (f) experiment test 2.3

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图 10 2020年6月26日12时起报的（a、d）1 h、（b、e）3 h、（c、f）6 h累计降水（a–c）TS评分和（d–f）BS评分

Figure 10. TS and BS scores of (a, d) 1-h, (b, e) 3-h, and (c, f) 6-h accumulated precipitation from 1200 BJT 12 June 2020

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图 11 2020年6月26日12:05试验一的（a0、a1、a2）云水含量（q_c）、（b0、b1、b2）云雨含量（q_r）以及（c0、c1、c2）云冰含量（q_i）（单位：g kg⁻¹）沿斜线[（28.6°N, 101.5°E）～（27.6°N, 106.4°E）]的剖面：（a0、b0、c0）ctrl1.0试验；（a1、b1、c1）test1.1试验；（a2、b2、c2）：test1.2试验

Figure 11. Vertical cross sections of content (units: g kg⁻¹) for (a0, a1, a2) cloud water (q_c), (b0, b1, b2) cloud rain (q_r), and (c0, c1, c2) cloud ice (q_i) along line [(28.6°N, 101.5°E)–(27.6°N, 106.4°E)] in experiment 1 at 1205 BJT on 26 June 2020: (a0, b0, c0) Experiment ctrl 1.0; (a1, b1, c1) experiment test 1.1; (a2, b2, c2) experiment test 1.2

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图 12 2020年6月26日12:05试验二的（a0、a1、a2）云水含量（q_c）、（b0、b1、b2）云雨含量（q_r）以及（c0、c1、c2）云冰含量（q_i）（单位：g kg⁻¹）沿线段[（28.6°N, 101.5°E）～（27.6°N, 106.4°E）]的剖面：（a0、b0、c0）ctrl2.0试验；（a1、b1、c1）test2.1试验；（a2、b2、c2）test2.2试验

Figure 12. Vertical cross sections of content (units: g kg⁻¹) for (a0, a1, a2) cloud water (q_c), (b0, b1, b2) cloud rain (q_r), and (c0, c1, c2) cloud ice (q_i) along line [(28.6°N, 101.5°E)–(27.6°N, 106.4°E)] in experiment 2 at 1205 BJT on 26 June 2020: (a0, b0, c0) Experiment ctrl 2.0; (a1, b1, c1) experiment test 2.1; (a2, b2, c2) experiment test 2.2

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图 13 2020年6月26日12:05试验一700 hPa云水含量（上）、850 hPa云雨含量（中）、250 hPa云冰含量（下）水平分布（单位：g kg⁻¹）：（a、d、g）ctrl 1.0试验；（b、e、h）test 1.1试验；（c、f、i）：test 1.2试验

Figure 13. Contents (units: g kg⁻¹) of 700-hPa cloud water (top), 850-hPa cloud rain (middle), and 250-hPa cloud ice (bottom) in experiment 1 at 1205 BJT on 26 June 2020: (a, d, g) Experiment ctrl 1.0; (b, e, h) experiment test 1.1; (c, f, i) experiment test 1.2

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图 14 2020年6月26日12:05试验二700 hPa云水含量（上）、850 hPa云雨含量（中）、250 hPa云冰含量（下）水平分布（单位：g kg⁻¹）：（a、d、g）ctrl 2.0试验；（b、e、h）test 2.1试验；（c、f、i）test 2.2试验

Figure 14. Contents (units: g kg⁻¹) of 700-hPa cloud water (top), 850-hPa cloud rain (middle), and 250-hPa cloud ice (bottom) in experiment 2 at 1205 BJT on 26 June 2020: (a, d, g) Experiment ctrl 2.0; (b, e, h) experiment test 2.1; (c, f, i) experiment test 2.2

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表 1 加入GFS背景场及卫星资料的基础上两种闪电资料对比试验（试验一：无雷达资料）

Table 1. Comparative test of two types of lightning data added GFS (Global Forecast System) background field and satellite data (Experiment 1: No radar data)

	GFS背景场以及卫星（TBB、CTA）资料	ADTD 闪电资料	LMIE 闪电资料
ctrl 1.0试验	√	×	×
test 1.1试验	√	√	×
test 1.2试验	√	×	√
注：√、×分别表示加入该资料和不加入该资料，下同。

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表 2 加入GFS背景场及卫星资料的基础上两种闪电资料对比试验（试验二：有雷达资料）

Table 2. Comparative test of two types of lightning data added GFS background field and satellite data (Experiment 2: Radar data available)

	GFS背景场以及卫星（TBB、CTA）资料	雷达反射率	ADTD 闪电资料	LMIE 闪电资料
ctrl 2.0试验	√	√	×	×
test 2.1试验	√	√	√	×
test 2.2试验	√	√	×	√
test 2.3试验	√	√	√	√

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