摘要:
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2023年第5号台风“杜苏芮”给我国东部—北部地区造成了大范围洪涝灾害和损失,本文综合评估了中国气象局区域台风预报系统对该台风的预报性能和误差状况。结果表明:台风路径预报前期主要为偏东的移向偏差,中后期主要为偏快的移速偏差;在台风生成阶段预报倾向于高估其强度,但较长的预报时效对快速增强过程中的台风强度增速预报较慢,导致台风强度峰值预报明显偏弱;提前24 h以内的预报登陆时间、强度和位置误差较小,提前48 h仍能较好地预报出登陆位置;副热带高压、西风槽以及对同期另一个台风“卡努”的预报存在偏差,是产生较大路径预报偏差的原因;系统能够预报出台风过程降水形态,但主要降水落区的降水量预报偏少,随着预报时效增加,模式刻画的海上以及登陆后的降水中心向东北偏移。 |
Typhoon "Doksuri", the fifth typhoon in 2023, caused widespread flooding and damages in the easternnorthern regions of China, and this paper comprehensively evaluates the forecast performance and error status of this typhoon by utilizing the China Meteorological Administration_Regional Mesoscale Typhoon Numerical Prediction System (CMA-TYM). The results are as follows. The early stage of the typhoon track forecast is dominated by an easterly shift deviation; the middle and late stage of the forecast is dominated by a fast shift deviation. Forecasts tend to overestimate the typhoon intensity during its generation stage, however, at longer forecast horizons, the growth rate of the typhoon intensity during rapid intensification is predicted to be slower, resulting in significantly weaker forecasts of peak typhoon intensity. Errors in forecasting landfall time, intensity and location are small for forecasts up to 24 h in advance, and landfall location is still better for forecasts at 48 h in advance. Deviations in the forecasts of the subtropical high, the westerly trough, and another Typhoon "Khanun" during the same period are the reasons for the large deviations in the track forecasts. It is able to forecast the precipitation pattern of the typhoon process, but the forecast of precipitation in the main precipitation fallout area is less. As the forecast horizons increases, the precipitation center at sea as well as after landfall is shifted to the northeast. |
参考文献:
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[1] 向纯怡, 许映龙, 高拴柱, 等. 2021年西北太平洋台风活动特征和预报难点分析[J]. 气象, 2022, 48(9): 1195-1208. XIANG C Y, XU Y L, GAO S Z, et al. Analysis of the characteristics and forecast difficulties of typhoon over the Western North Pacific in 2021[J]. Meteorological Monthly, 2022, 48(9): 1195-1208. [2] 端义宏, 陈联寿, 许映龙, 等. 我国台风监测预报预警体系的现状及建议[J]. 中国工程科学, 2012, 14(9): 4-9. DUAN Y H, CHEN L S, XU Y L, et al. The status and suggestions of the improvement in the typhoon observation, forecasting and warning systems in China[J]. Strategic Study of CAE, 2012, 14(9): 4-9. [3] 许映龙, 张玲, 高拴柱. 我国台风预报业务的现状及思考[J]. 气象, 2010, 36(7): 43-49. XU Y L, ZHANG L, GAO S Z. The advances and discussions on China operational typhoon forecasting[J]. Meteorological Monthly, 2010, 36(7): 43-49. [4] 端义宏, 陈联寿, 梁建茵, 等. 台风登陆前后异常变化的研究进展[J]. 气象学报, 2014, 72(5): 969-986. DUAN Y H, CHEN L S, LIANG J Y, et al. Research progress in the unusual variations of typhoons before and after landfalling[J]. Acta Meteorologica Sinica, 2014, 72(5): 969-986. [5] 张定媛, 田晓阳, 贾朋群. 热带气旋预报性能及指标综合评述[J]. 气象, 2018, 44(12): 1628-1634. ZHANG D Y, TIAN X Y, JIA P Q. Review on performance and index of tropical cyclone forecast[J]. Meteorological Monthly, 2018, 44(12): 1628-1634. [6] 杨璐, 费建芳, 黄小刚, 等. 西北太平洋环境风垂直切变和热带气旋移动对涡旋内对流非对称分布影响的特征分析[J]. 气象学报, 2017, 75(6): 943-954. YANG L, FEI J F, HUANG X G, et al. Effects of vertical wind shear and tropical cyclone motion on asymmetric distribution of convective clouds in TCs over the western North Pacific[J]. Acta Meteorologica Sinica, 2017, 75(6): 943-954. [7] 杨昌贤, 郑艳, 林建兴, 等. 数值预报产品检验和评估[J]. 气象研究与应用, 2008, 29(2): 32-37. YANG C X, ZHENG Y, LIN J X, et al. Numerical model output validation and assessment[J]. Journal of Meteorological Research and Application, 2008, 29(2): 32-37. [8] 汤杰, 陈国民, 余晖. 2010年西北太平洋台风预报精度评定及分析[J]. 气象, 2011, 37(10): 1320-1328. TANG J, CHEN G M, YU H. Precision evaluation and error analysis on the forecasts of typhoons over the Western North Pacific in 2010[J]. Meteorological Monthly, 2011, 37(10): 1320-1328. [9] 陈国民, 汤杰, 曾智华. 2011年西北太平洋热带气旋预报精度评定[J]. 气象, 2012, 38(10): 1238-1246. CHEN G M, TANG J, ZENG Z H. Error analysis on the forecasts of tropical cyclones over Western North Pacific in 2011[J]. Meteorological Monthly, 2012, 38(10): 1238-1246. [10] 陈国民, 余晖, 曹庆. 2012年西北太平洋热带气旋预报精度评定[J]. 气象, 2013, 39(10): 1350-1358. CHEN G M, YU H, CAO Q. Verification on forecasts of tropical cyclones over Northwest Pacific in 2012[J]. Meteorological Monthly, 2013, 39(10): 1350-1358. [11] 陈国民, 曹庆. 2013年西北太平洋热带气旋预报精度评定[J]. 气象, 2014, 40(12): 1549-1557. CHEN G M, CAO Q. Verification on forecasts of tropical cyclones over Western North Pacific in 2013[J]. Meteorological Monthly, 2014, 40(12): 1549-1557. [12] 陈国民, 曹庆, 白莉娜. 2014年西北太平洋热带气旋预报精度评定[J]. 气象, 2015, 41(12): 1554-1561. CHEN G M, CAO Q, BAI L N. Verification on forecasts of tropical cyclones over Western North Pacific in 2014[J]. Meteorological Monthly, 2015, 41(12): 1554-1561. [13] 陈国民, 白莉娜, 万日金. 2015年西北太平洋热带气旋预报精度评定[J]. 气象, 2017, 43(4): 501-507. CHEN G M, BAI L N, WAN R J. Verification on forecasts of tropical cyclones over Western North Pacific in 2015[J]. Meteorological Monthly, 2017, 43(4): 501-507. [14] 邓华, 薛纪善, 徐海明, 等. GRAPES中尺度模式中不同对流参数化方案模拟对流激发的研究[J]. 热带气象学报, 2008, 24(4): 327-334. DENG H, XUE J S, XU H M, et al. Study of different cumulus parameterization schemes of GRAPES-MESO model in simulation of convection provocation[J]. Journal of Tropical Meteorology, 2008, 24(4): 327-334. [15] 张进, 麻素红, 陈德辉, 等. GRAPES_TYM改进及其在2013年 西北太平洋和南海台风预报的表现[J]. 热带气象学报, 2017, 33(1): 64-73. ZHANG J, MA S H, CHEN D H, et al. The improvements of GRAPES_TYM and its performance in Northwest Pacific Ocean and South China Sea in 2013[J]. Journal of Tropical Meteorology, 2017, 33(1): 64-73. [16] 麻素红, 张进, 沈学顺, 等. 2016年 GRAPES_TYM改进及对台风预报影响[J]. 应用气象学报, 2018, 29(3): 257-269. MA S H, ZHANG J, SHEN X S, et al. The upgrade of GRAPE_TYM in 2016 and its impacts on tropical cyclone prediction[J]. Journal of Applied Meteorological Science, 2018, 29(3): 257-269. [17] 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. [18] 麻素红, 沈学顺, 龚建东, 等. 国家气象中心台风数值预报系统的发展[J]. 气象, 2021, 47(6): 685-692. MA S H, SHEN X S, GONG J D, et al. Development of typhoon numerical prediction system in national meteorological Centre[J]. Meteorological Monthly, 2021, 47(6): 685-692. [19] 麻素红, 陈德辉. 国家气象中心区域台风模式预报性能分析[J]. 热带气象学报, 2018, 34(4): 451-459. MA S H, CHEN D H. Analysis of performance of Regional Typhoon Model in National Meteorological Center[J]. Journal of Tropical Meteorology, 2018, 34(4): 451-459. [20] 潘旸, 谷军霞, 宇婧婧, 等. 中国区域高分辨率多源降水观测产品的融合方法试验[J]. 气象学报, 2018, 76(5): 755-766. PAN Y, GU J X, YU J J, et al. Test of merging methods for multisource observed precipitation products at high resolution over China[J]. Acta Meteorologica Sinica, 2018, 76(5): 755-766. [21] 孙帅, 师春香, 潘旸, 等. 中国区域三源融合降水产品的改进效果评估[J]. 水文, 2020, 40(6): 10-15. SUN S, SHI C X, PAN Y, et al. The improved effects evaluation of Three-Source Merged of Precipitation Products in China[J]. Journal of China Hydrology, 2020, 40(6): 10-15. [22] 辛佳洁. 全球集合预报系统的台风强度预报评估和订正[D]. 北京: 中国气象科学研究院, 2021. XIN J J. Evaluation and correction of typhoon intensity forecast by global ensemble forecast system[D]. Beijing: Chinese Academy of Meteorological Sciences, 2021. |
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