基于CMA-TRAMS的北斗探空与无人机空投探空协同同化实验

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Qiushi Wen , Xuefen Zhang , Sheng Hu , Peitao Zhao , Shuixin Zhong , Zhenyu Liu , Zhongkuo Zhao , Jiahao Liang , Guangfeng Dai , Chenzhong Zhang , Mengjie Li , Ling Huang
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Additionally, a control group of operational forecasts without these data assimilations was set up. The results indicate that the operational forecast path in the control group deviated northward from the actual path. Besides, the Beidou-drop group showed the most significant improvement in terms of forecasting the typhoon path at 60 to 90 h lead times. Specifically, the 72 h and 90 h path errors were reduced by 66.8 and 82.4 km, respectively, resulting in a much more accurate forecast of Typhoon Haikui's landing point, at the coastal junction of Fujian and Guangdong. Furthermore, the collaborative assimilation revealed a notable impact on improving the forecast of wind and rain associated with Haikui's landfall, aligning more closely with the real case. 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引用次数: 0

摘要

在中国气象局南海热带区域大气模式(CMA-TRAMS)的基础上,作者利用北斗无线电探空仪和无人机投放(HAIYAN-I)的无线电探空仪数据,开展了 2023 年 9 月的同化预报试验。设计了以下三个同化实验组:北斗无线电探空仪同化组、无人机投放无线电探空仪同化组和北斗与无人机投放无线电探空仪数据协同同化组(以下简称 "北斗-投放")。此外,还建立了一个没有这些数据同化的运行预报对照组。结果表明,对照组的业务预报路径偏离了实际路径。此外,北斗数据同化组在 60 至 90 小时准备时间内对台风路径预报的改进最为显著。具体而言,72 小时和 90 小时路径误差分别减少了 66.8 公里和 82.4 公里,从而更准确地预报了台风 "海葵 "在福建和广东沿海交界处的登陆点。此外,协作同化对改善与 "海葵 "登陆相关的风雨预报有显著影响,使其更接近实际情况。北斗降水组的降水分值也有明显上升,72 h 提前期的 50 mm TS(威胁分值)从对照实验的 0.33 上升到 0.75,100 mm TS 从 0.18 上升到 0.39。摘要基于中国气象局南海台风模式CMA-TRAMS, 开展了北斗探空和无人机下投探空协同同化预报试验, 分别开展了北斗探空同化, 无人机下投探空同化, 北斗和下投探空 (beidou-drop) 协同同化试验.结果表明, CMA-TRAMS业务预报路径较实况偏北, 协同同化了北斗和下投探空的路径预报改进效果最显著, 对60-90小时路径预报均有改进, 72小时和90小时路径误差分别较减小66.8 km和82.4 km, 且台风海葵的登陆区域更趋于向实况(闽粤沿海交界处); 协同同化了北斗和下投探空对台风 "海葵 "登陆风雨影响更为显著, 与实况更加吻合, 降水评分提升明显, 72小时预报的50 mm TS评分由对照试验的0.33提升至0.75; 100 mm降水TS评分由对照试验的0.18提升至0.39。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collaborative assimilation experiment of Beidou radiosonde and drone-dropped radiosonde based on CMA-TRAMS
Based on the China Meteorological Administration's Tropical Regional Atmosphere Model for the South China Sea (CMA-TRAMS), the authors conducted a collaborative assimilation forecasting experiment utilizing both Beidou radiosonde and drone-dropped (HAIYAN-I) radiosonde data in September 2023. Three assimilation experimental groups were designed as follows: Beidou radiosonde assimilation, drone-dropped radiosonde assimilation, and collaborative assimilation of Beidou and drone-dropped radiosonde data (hereinafter referred to as “Beidou-drop”). Additionally, a control group of operational forecasts without these data assimilations was set up. The results indicate that the operational forecast path in the control group deviated northward from the actual path. Besides, the Beidou-drop group showed the most significant improvement in terms of forecasting the typhoon path at 60 to 90 h lead times. Specifically, the 72 h and 90 h path errors were reduced by 66.8 and 82.4 km, respectively, resulting in a much more accurate forecast of Typhoon Haikui's landing point, at the coastal junction of Fujian and Guangdong. Furthermore, the collaborative assimilation revealed a notable impact on improving the forecast of wind and rain associated with Haikui's landfall, aligning more closely with the real case. A marked rise was also seen in the precipitation score of the Beidou-drop group, where the 50 mm TS (threat score) of the 72 h lead time increased from 0.33 in the control experiment to 0.75, and the 100 mm TS rose from 0.18 to 0.39.
摘要
基于中国气象局南海台风模式CMA-TRAMS, 开展了北斗探空和无人机下投探空协同同化预报试验, 分别开展了北斗探空同化, 无人机下投探空同化, 北斗和下投探空 (beidou-drop) 协同同化试验. 结果表明, CMA-TRAMS业务预报路径较实况偏北, 协同同化了北斗和下投探空的路径预报改进效果最显著, 对60–90小时路径预报均有改进, 72小时和90小时路径误差分别较减小66.8 km和82.4 km, 且台风海葵的登陆区域更趋于向实况 (闽粤沿海交界处); 协同同化了北斗和下投探空对台风“海葵”登陆风雨影响更为显著, 与实况更加吻合, 降水评分提升明显, 72小时预报的50 mm TS评分由对照试验的0.33提高至0.75; 100 mm降水TS评分由对照试验的0.18提高至0.39.
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来源期刊
Atmospheric and Oceanic Science Letters
Atmospheric and Oceanic Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.20
自引率
8.70%
发文量
925
审稿时长
12 weeks
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