基于雷达与卫星的对流触发观测研究和临近预报技术进展

doi:10.11867/j.issn.1001-8166.2019.12.1273

地球科学进展 ›› 2019, Vol. 34 ›› Issue (12): 1273 -1287. doi: 10.11867/j.issn.1001-8166.2019.12.1273

黄亦鹏 ^1, ²(

),李万彪 ²,赵玉春 ¹,白兰强 ³

^1.厦门市气象局海峡气象开放实验室，福建厦门 361012
^2.北京大学物理学院大气与海洋科学系，北京 100871
^3.中山大学大气科学学院，广东广州 510275

收稿日期:2019-09-19 修回日期:2019-11-03 出版日期:2019-12-10
基金资助:
国家自然科学基金项目“海峡西岸前汛期暖区MCSs形成前的对流云发展特征研究”(41905049);福建省气象局开放式基金项目“福建对流触发前边界层辐合线和积云发展特征”(2019KX01)

A Review of Radar- and Satellite-based Observational Studies and Nowcasting Techniques on Convection Initiation

Yipeng Huang ^1, ²( ),Wanbiao Li ²,Yuchun Zhao ¹,Lanqiang Bai ³

^1.Laboratory of Straits Meteorology, Xiamen Meteorological Bureau, Xiamen 361012, China
^2.Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China
^3.School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China

Received:2019-09-19 Revised:2019-11-03 Online:2019-12-10 Published:2020-02-12
About author:Huang Yipeng (1990-), male, Longhai City, Fujian Province, Engineer. Research areas include remote sensing of atmosphere and mesoscale meteorology. E-mail: harrisonyp@163.com
Supported by:
the National Natural Science Foundation of China “Development characteristics of convective clouds before the formation of warm-sector MCSs during the presummer rainy season over the west side of the Taiwan Strait”(41905049);The Open Foundation of Fujian Meteorological Bureau “Characteristics of boundary-layer convergence lines and cumulus cloud growth before the convection initiation processes in Fujian Province”(2019KX01)

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对流触发（CI）一直是强对流天气预报中至关重要而又充满挑战的环节。在CI发生之前，高时空分辨率的天气雷达和静止气象卫星常能够观测识别到边界层辐合线和积云快速发展等用于评估CI发生条件的前兆信号，从而为定时定点的CI临近预报提供有力观测支撑。基于此，综述了雷达和卫星在CI观测研究和临近预报技术上的运用进展。首先回顾了近40年来CI观测研究中的里程碑工作以及最新的研究进展，结合CI发生条件梳理了CI研究方式和内容及其随雷达和卫星探测能力提升而呈现的发展趋势。进而介绍了较为成熟的3种基于雷达和卫星观测的CI业务临近预报技术在国际范围内的发展运用。最后提出雷达和卫星观测在CI研究和预报运用中需要进一步解决的问题。

关键词: 对流触发, 天气雷达, 静止气象卫星, 临近预报

Convection often produces severe weather which causes a great loss to human lives and properties. Precisely predicting the convection initiation process is crucial but challenging in operational convection nowcasting (0~2 h forecasting). Before the radar-defined CI occurring (e.g., the first occurrence of ≥35 dBZ echoes), observations at high spatial and temporal resolutions from weather radars and geostationary meteorological satellites can reveal precursor information such as the boundary-layer convergence lines and the rapid growth of newborn cumulus clouds. These radar- and satellite-observed precursor information are helpful for evaluating the pre-CI conditions and thus nowcasting the accurate CI timing and location. This paper reviewed the current status of radar- and satellite-based CI research and nowcasting techniques. The milestone works and the following studies in the last four decades were summarized to demonstrate how radar and satellite observations can be related to CI occurrence. The objectives and approaches of the CI research advance as the improvement in the capability of radars and were explained satellites. The research progress aids in the development of various CI nowcasting techniques. This paper introduced three well-established techniques that have been put into operational application, namely, ANC system, SATCAST algorithm, and UWCI algorithm. Some scientific issues with respect to radar- and satellite-based CI research and nowcasting were also presented.

Key words: Convection initiation, Weather radars, Geostationary meteorological satellites, Nowcasting.

中图分类号:

P456.7

图1 雷达和卫星观测到的CI前兆信号示意图
（a）雷达和（b）卫星常能够在CI过程产生明显降水（C3阶段）之前观测到边界层辐合线 ^{[

14
]}和新生积云快速发展 ^{[

15
]}，为CI预报提供前兆信息

Fig. 1 Conceptual model of radar- and satellite-observed precursor signals before CI occurring
(a) Radar-observed boundary-layer convergence lines ^{[

14
]} and (b) satellite-observed newborn cloud growth ^{[

15
]} can provide precursor information for the occurrence of radar-defined CI processes like C3 stage in (b)

图2 不同地区基于雷达气候学统计的CI空间分布特征
（a）欧洲中部 ^{[

20
]}、（b）美国东南部 ^{[

16
]}和（c）美国中部 ^{[

22
]}；（a）中用白点表示CI位置分布；（b）和（c）中用空间密度表示CI位置分布，其中（b）中色调越亮表示CI发生密度越高；（c）中黄色等值线表示密度超过0.009的区域

Fig. 2 Radar-based CI climatology across different regions
(a) Central Europe ^{[

20
]}, (b) Southeast U.S. ^{[

16
]} and (c) Central U.S. ^{[

22
]}； The spatial distribution of CI locations is shown by white dots in (a) and by point density in (b) and (c), with brighter color indicating more frequent CI occurrence in (b) and the yellow contour in (c) indicating density higher than 0.009 points per km ²

图3 2013年6月4日华北河套地区引发对流的边界层辐合线在不同阶段的雷达反射率图^{[

47
]}
（a）0818 LST，形成阶段（起始10 km）;（b）1358 LST，最大长度阶段；（c）1404 LST，对流触发阶段（首个大于等于10 dBZ回波）；（d）1555 LST；图中红圈给出了辐合线位置，白圈给出了辐合线引发首个大于等于10 dBZ回波的位置；十字灰线交点为河套地区临河雷达站点位置；从内到外的灰色圆圈表示离雷达50 km和100 km的位置

Fig. 3 Radar composite reflectivity of a convective boundary on 4 June 2013 around the bend of the Yellow River in North China^{[

47
]}
The red circles in (a)~(c) highlight the boundary at its formation (first 10 km), maximum length, and convective initiation stages, respectively； The white circle in (c) highlights the first ≥10 dBZ echo of the first convective storm near the boundary； The central intersections denote the radar site, and the range rings are shown at 50 km intervals in gray

图4 使用静止卫星成像仪研究CI的3种方式
（a）可见光图像法 ^{[

48
]}；（b）单一红外窗区通道法 ^{[

60
]}；（c）多光谱通道法 ^{[

3
]}

Fig. 4 Three ways to study CI based on geostationary imagers
(a) Visible imagery ^{[

48
]}； (b) Only IR-window channel ^{[

60
]}； (c) Multispectral channels ^{[

3
]}

图5 基于MSG卫星总结的最能用于刻画CI过程中3种积云发展特征的关注场^{[

63
]}
上标“a”表示Mecikalski等 ^{[

3
]}工作中8个IR关注场中的6个，另外2个为“13.3-10.7 μm” 和“10.8-μm T _B低于0℃的时间”;“T _B”表示亮温（brightness temperature），“t-min”表示t-min时间趋势，“trispectral”表示(8.7-10.8)-(10.8-12.0) μm

Fig. 5 The top interest fields derived from MSG satellite for describing the three physical attributes of CI-related cumulus clouds^{[

63
]}
The superscript “a” indicates six out of the eight interest fields in Mecikalski and Bedka ^{[

3
]}, and the other two are 13.3-10.7 μm and the timing of a 10.8-μm T _B drop below 0 °C. Here, “T _B” means brightness temperature, “t-min” means the t-min time trend, and “trispectral” means (8.7-10.8)-(10.8-12.0) μm

图6 美国GOES卫星上搭载的IR探测仪Sounder与辐射模式模拟的高光谱探测仪HES的光谱分布对比（据参考文献[ 79 ]修改）
GOES卫星探测仪的光谱分辨率为10~100 cm ^-1，而高光谱探测仪HES的光谱分辨率可达1 cm ^-1量级

Fig. 6 The spectral coverages of the GOES sounder bands and a simulated HES-like instrument with high spectral resolution（modified after reference [ 79 ]）
The GOES sounder is at low spectral resolutions (10~100 cm ^-1), whereas a HES-like instrument could have spectral resolutions on the order of 1 cm ^-1

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