江蘇X波段天氣雷達(dá)組網(wǎng)自適應(yīng)協(xié)同控制技術(shù)設(shè)計與實現(xiàn)

doi:10.12306/2024jms.0039

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江蘇X波段天氣雷達(dá)組網(wǎng)自適應(yīng)協(xié)同控制技術(shù)設(shè)計與實現(xiàn)
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                        10.12306/2024jms.0039
                    
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中圖分類號:P415.2
基金項目:中國自然科學(xué)基金委員會氣象聯(lián)合基金資助項目(U2142203);中國氣象科學(xué)研究院基本科研業(yè)務(wù)費專項資金(2021Z003;2024Z010)

Design and implementation of collaborative adaptive processing center for X-band weather radar network in Jiangsu Province

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針對江蘇強對流天氣高發(fā)區(qū)域?qū)α鞯蛯颖O(jiān)測和精細(xì)化觀測需求,本文利用江蘇蘇北X波段天氣雷達(dá)網(wǎng),設(shè)計并實現(xiàn)了針對氣象目標(biāo)的自適應(yīng)協(xié)同控制技術(shù),包括針對晴空、降水、風(fēng)暴3種氣象目標(biāo)的識別技術(shù)及相應(yīng)觀測模式的制定,以及觀測模式間自適應(yīng)切換機制,建立了江蘇X波段天氣雷達(dá)組網(wǎng)自適應(yīng)協(xié)同控制中心(Jiangsu Collaborative Adaptive Processing Center of X-Band Weather Radar Network,JSCAPC_XNET)。結(jié)果表明:JSCAPC_XNET有效填補了S波段天氣雷達(dá)網(wǎng)局部低層探測盲區(qū),把晴空、降水、風(fēng)暴作為重點觀測的氣象目標(biāo)滿足了對全天候天氣的觀測需求,在協(xié)同觀測網(wǎng)內(nèi),利用動態(tài)面積法實現(xiàn)的風(fēng)暴體中心區(qū)識別技術(shù)、基于冰雹單體垂直結(jié)構(gòu)概念模型設(shè)計的冰雹體識別技術(shù)以及適于多雷達(dá)識別中氣旋的合并處理技術(shù)實現(xiàn)了對不同風(fēng)暴單體識別和標(biāo)注。針對氣象目標(biāo)的觀測模式自適應(yīng)切換機制保證了系統(tǒng)在3種模式間準(zhǔn)確切換,提升了每部雷達(dá)的觀測效能,實現(xiàn)了重點觀測目標(biāo)的精細(xì)化觀測。試驗期內(nèi)觀測到了包括強冰雹單體差分反射率(Z_DR)柱、龍卷單體低層Z_DR弧、龍卷碎屑特征,以及直接反映龍卷可能及地的龍卷眼區(qū)低反射率因子區(qū)、下沉反射率因子核特征等,為提升小尺度極端天氣監(jiān)測和預(yù)警能力提供了觀測手段。

Abstract:

This study aims to improve the low-level monitoring and fine-scale observation for severe convective weather frequently occurred in Jiangsu Province. The X-band weather radar network located at northern Jiangsu was utilized to implement the adaptive collaborative control technology,including identification technology for clear sky,precipitation,and storms,and corresponding scanning strategies with an adaptive switching mechanism. The Jiangsu Collaborative Adaptive Processing Center for X-band Weather Radar Network (JSCAPC_XNET) was established for this purpose. Results show that JSCAPC_XNET effectively fills local low-level detection gaps in the S-band weather radar network. By focusing on clear sky,precipitation,and storms,the system demostrates comprehensive capabilities for all-weather observation requirements. Within the collaborative network,various storm cells can be distinguished and labeled using a dynamic area method,hailstorms can be detected using a vertical structure concept model,and mesocyclones can be identified through a combined processing technology that integrates multiple radars from the X-band weather radar network. The adaptive switching mechanism ensures precise transitions among the three observation modes. The adaptive cooperative observation mode enhances the observation efficiency of each radar and enables fine-scale monitoring of key targets. Based on observations from the JSCAPC_XNET during the experimental period,various characteristics related to severe thunderstorm were identified,such as strong hail Z_DR column,tornadic cell's low-level Z_DR arc,tornado debris,as well as the characteristics of low reflectivity regions and the descending of reflectivity core in the tornado eye region.These signatures potentially provide valuable insights for improving the monitoring and early warning capabilities for small-scale extreme weather in the future.

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徐芬,王明筠,喜度,周紅根,張興海,王永亮.江蘇X波段天氣雷達(dá)組網(wǎng)自適應(yīng)協(xié)同控制技術(shù)設(shè)計與實現(xiàn).氣象科學(xué),2025,45(1):26-39 XU Fen, WANG Mingjun, XI Du, ZHOU Honggen, ZHANG Xinghai, WANG Yongliang. Design and implementation of collaborative adaptive processing center for X-band weather radar network in Jiangsu Province. Journal of the Meteorological Sciences,2025,45(1):26-39

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收稿日期:2024-01-17
最后修改日期:2024-06-12
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在線發(fā)布日期: 2025-03-08
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