| CMA数值模式对超强台风“摩羯”(2411)早期路径预报偏差分析 |
| 作者:吴敏1 2 吴俞1 2 刘炳杰3 魏晓雯1 2 |
单位:1. 海南省气象台, 海南 海口 570203; 2. 南海气象防灾减灾重点实验室, 海南 海口 570203; 3. 河北省沧州市气象局, 河北 沧州 061000 |
| 关键词:超强台风“摩羯” 模式预报偏差 副热带高压 |
| 分类号:P457.8 |
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| 出版年·卷·期(页码):2026·43·第一期(79-88) |
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摘要:
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| 重点检验中国气象局数值模式在台风“摩羯”路径预报中的表现。结果显示:中国气象局区域台风预报系统(CMA_TYM)、中国气象局南海台风模式(CMA_TRAMS)和中国气象局全球同化预报系统(CMA_GFS)3套模式均存在系统性偏北偏东的路径误差,且误差随预报时效的延长呈递增趋势,其中,CMA_TRAMS 在 48 h 内预报最优,CMA_TYM 则在 72~120 h 中长期预报中误差最小。研究表明,台风生成初期,副热带高压的预测偏差是长时效预报失准的主因,具体表现为对台风东侧扰动的预报偏强、对西风槽的预报偏弱;另外,模式在台风快速增强阶段存在滞后效应,加上海气相互作用模拟不足,共同导致副热带高压形态的预测偏差,显著影响 48 h以上路径预报的准确性。 |
| The super Typhoon "Yagi" (2024, No. 11) made landfall at its peak intensity in Hainan and Guangdong provinces, causing catastrophic damage. This study focuses on evaluating the performance of numerical models operated by the China Meteorological Administration (CMA) on forecasting the track of Typhoon "Yagi". The results show that the China Meteorological Administration-Regional Mesoscale Typhoon Numerical Prediction System (CMA_TYM), the China Meteorological Administration Tropical Regional Assimilation Model for the South China Sea (CMA_TRAMS), and the China Meteorological Administration Global Forecast System (CMA_GFS) all exhibit systematic track biases toward north and east, with the forecast errors increasing as the lead time extends. Among them, the CMA_TRAMS provides the most accurate forecast within 48 hours, while the CMA_TYM has the smallest error in the medium-range forecast of 72~120 hours. The forecast errors of the subtropical high in the early development stage of the typhoon are the primary causes of long-term track prediction inaccuracies. Specifically, the models tend to overestimate disturbances on the east side of the typhoon and underestimate the approaching westerly trough. In addition, a delayed response to the typhoon's rapid intensification and insufficient simulation of air-sea interactions contribute to errors in forecasting the structure of the subtropical high, significantly affecting track forecasts beyond 48 hours. |
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参考文献:
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[1] TAN J K, CHEN S, LEE C Y, et al. Projected changes of typhoon intensity in a regional climate model: development of a machine learning bias correction scheme[J]. International Journal of Climatology, 2021, 41(4): 2749-2764. [2] 陈国民, 张喜平, 白莉娜, 等. 2016年西北太平洋和南海热带气旋预报精度评定[J]. 气象, 2018, 44(4): 582-589. CHEN G M, ZHANG X P, BAI L N, et al. Verification on forecasts of tropical cyclones over Western North Pacific in 2016[J]. Meteorological Monthly, 2018, 44(4): 582-589. [3] YU H, CHEN G M, ZHOU C, et al. Are we reaching the limit of tropical cyclone track predictability in the Western North Pacific?[J]. Bulletin of the American Meteorological Society, 2022, 103(2): E410-E428. [4] CHEN G M, LI T M, YANG M Q, et al. Evaluation of Western North Pacific typhoon track forecasts in global and regional models during the 2021 typhoon season[J]. Atmosphere, 2023, 14(3): 499. [5] TANG C K, CHAN J C L, YAMAGUCHI M. Large tropical cyclone track forecast errors of global numerical weather prediction models in western North Pacific Basin[J]. Tropical Cyclone Research and Review, 2021, 10(3): 151-169. [6] 钱奇峰, 毛冬艳. 2010-2019年ECWMF和NCEP集合模式对热带气旋路径预报的性能评估[J]. 气象, 2023, 49(2): 224-234. QIAN Q F, MAO D Y. Evaluation of tropical cyclone track forecast performance of ECMWF and NCEP ensemble models from 2010 to 2019[J]. Meteorological Monthly, 2023, 49(2): 224-234. [7] GUO R, YU R L, YANG M Q, et al. Analysis of characteristics and evaluation of forecast accuracy for Super Typhoon Doksuri (2023) [J]. Tropical Cyclone Research and Review, 2024, 13(3): 219-229. [8] HUANG Y Y, ZHANG Y X, ZHANG C Z, et al. An assessment of model capability on rapid intensification prediction of tropical cyclones in the South China Sea[J]. Dynamics of Atmospheres and Oceans, 2024, 106: 101431. [9] 徐道生, 陈子通, 张艳霞, 等. 南海台风模式TRAMS3.0的技术更新和评估结果[J]. 气象, 2020, 46(11): 1474-1484. XU D S, CHEN Z T, ZHANG Y X, et al. Updates in TRAMS 3.0 model version and its verification on typhoon forecast[J]. Meteorological Monthly, 2020, 46(11): 1474-1484. [10] 麻素红, 张进, 瞿安祥, 等. 垂直分层加密和预报区域扩大对GRAPES_TYM台风预报的影响[J]. 气象学报, 2021, 79(1): 94-103. MA S H, ZHANG J, QU A X, et al. Impacts to tropical cyclone prediction of GRAPES_TYM from increasing of model vertical levels and enlargement of model forecast domain[J]. Acta Meteorologica Sinica, 2021, 79(1): 94-103. [11] QI L B, YU H, CHEN P Y. Selective ensemble-mean technique for tropical cyclone track forecast by using ensemble prediction systems[J]. Quarterly Journal of the Royal Meteorological Society, 2014, 140(680): 805-813. [12] 王皘, 许映龙, 董林, 等. 2012-2021年中央气象台台风3~5 d路径预报误差分析[J]. 海洋预报, 2022, 39(6): 25-33. WANG Q, XU Y L, DONG L, et al. Analysis of typhoon track forecast errors for 3~5 days by Central Meteorological Observatory from 2012 to 2021[J]. Marine Forecasts, 2022, 39(6): 25-33. [13] 王皘, 钱传海, 董林, 等. 台风“梅花”(2212)的主要特点和路径预报难点分析[J]. 海洋气象学报, 2023, 43(1): 52-62. WANG Q, QIAN C H, DONG L, et al. Analysis on main characteristics of Typhoon Muifa (2212) and difficulties in its track forecast[J]. Journal of marine Meteorology, 2023, 43(1): 52-62. [14] VELDEN C S, LESLIE L M. The basic relationship between tropical cyclone intensity and the depth of the environmental steering layer in the Australian Region[J]. Weather and Forecasting, 1991, 6(2): 244-253. [15] TAO C, JIANG H Y, ZAWISLAK J. The relative importance of stratiform and convective rainfall in rapidly intensifying tropical cyclones[J]. Monthly Weather Review, 2017, 145(3): 795-809. [16] WANG Y Q, HOLLAND G J. The beta drift of baroclinic vortices. Part I: adiabatic vortices[J]. Journal of the Atmospheric Sciences, 1996, 53(3): 411-427. [17] GEORGE J E, GRAY W M. Tropical cyclone motion and surrounding parameter relationships[J]. Journal of Applied Meteorology and Climatology, 1976, 15(12): 1252-1264. [18] 毕鑫鑫, 陈光华, 周伟灿. 超强台风“天鹅”(2015)路径突变过程机理研究[J]. 大气科学, 2018, 42(1): 227-238. BI X X, CHEN G H, ZHOU W C. A mechanism study on the sudden track change of super Typhoon "Goni" (2015)[J]. Chinese Journal of Atmospheric Sciences, 2018, 42(1): 227-238. [19] 麻素红. 涡旋强度调整半径对2016年第18号热带气旋路径预报的影响[J]. 气象学报, 2019, 77(4): 662-673. MA S H. Impact of radius of TC intensity correction on No.1618 TC track prediction[J]. Acta Meteorologica Sinica, 2019, 77(4): 662-673. [20] 黄燕燕, 陈子通, 冯业荣, 等. 南海台风模式对台风利奇马快速增强预报能力研究[J]. 气象, 2024, 50(5): 532-546. HUANG Y Y, CHEN Z T, FENG Y R, et al. Research on the forecasting capability of CMA-TRAMS model for rapid intensification of typhoon Lekima[J]. Meteorological Monthly, 2024, 50(5): 532-546. [21] 吕心艳, 许映龙, 黄焕卿. 台风“威马逊”(1409)在南海北部急剧增强的环境因子分析[J]. 海洋预报, 2021, 38(3): 1-10. LYU X Y, XU Y L, HUANG H Q. Analysis on environmental factors of the extremely rapid intensification of typhoon “Rammasun”(1409) in the northern South China Sea[J]. Marine Forecasts, 2021, 38(3): 1-10. [22] ZHANG F Q, TAO D D. Effects of vertical wind shear on the predictability of tropical cyclones[J]. Journal of the Atmospheric Sciences, 2013, 70(3): 975-983. [23] LI X, DAVIDSON N E, DUAN Y H, et al. Analysis of an ensemble of high-resolution WRF simulations for the rapid intensification of super typhoon "Rammasun" (2014)[J]. Advances in Atmospheric Sciences, 2020, 37(2): 187-210. [24] PATERSON L A, HANSTRUM B N, DAVIDSON N E, et al. Influence of environmental vertical wind shear on the intensity of hurricane-strength tropical cyclones in the Australian region[J]. Monthly Weather Review, 2005, 133(12): 3644-3660. |
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