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1.
A western North Pacific tropical cyclone (TC) intensity prediction scheme (WIPS) is developed based on TC samples from 1996
to 2002 using the stepwise regression technique, with the western North Pacific divided into three sub-regions: the region
near the coast of East China (ECR), the South China Sea region (SCR), and the far oceanic region (FOR). Only the TCs with
maximum sustained surface wind speed greater than 17.2 m s−1 are used in the scheme. Potential predictors include the climatology and persistence factors, synoptic environmental conditions,
potential intensity of a TC and proximity of a TC to land. Variances explained by the selected predictors suggest that the
potential intensity of a TC and the proximity of a TC to land are significant in almost all the forecast equations. Other
important predictors include vertical wind shear in ECR, 500-hPa geopotential height anomaly at the TC center, zonal component
of TC translation speed in SCR, intensity change of TC 12 or 24 h prior to initial time, and the longitude of TC center in
FOR. 相似文献
2.
Comparison of Three Tropical Cyclone Intensity Datasets 总被引：3，自引：0，他引：3
Analyzed in this paper are the 16-yr (1988-2003) tropical cyclone (TC) intensity data from three major forecast centers of the western North Pacific, i.e., China Meteorological Administration (CMA), Regional Specialized Meteorological Center Tokyo (RSMC Tokyo), and Joint Typhoon Warning Center (JTWC) of the United States. Results show that there are significant discrepancies (at 1% significance level) in the intensity of TCs among the three centers, with a maximum difference for the same TC over 30 m s-1. The flight reconnaissance over TC can minish the discrepancy to some extent. A climatic and persistent prediction model is set up to study the impact of initial data from different forecast centers on the prediction of TC intensity. It is obtained that the root mean square error (RMSE) of a 4-yr independent test is the largest using data from JTWC, while the smallest using data from RSMC Tokyo. Average absolute deviation in 24-h intensity prediction is 2.5 m s-1 between CMA and RSMC Tokyo data, and 4.0 m s-1 between CMA and JTWC data, with a maximum deviation reaching 21 m s-1. Such a problem in the initial value increases the difficulty in intensity prediction of TCs over the western North Pacific. 相似文献
3.
西北太平洋热带气旋强度统计释用预报方法研究 总被引：4，自引：1，他引：4
为了提高西北太平洋地区热带气旋（TC）强度预报准确率，在气候持续预报方法基础上，考虑气候持续性因子、天气因子、卫星资料因子，以TC强度变化为预报对象，运用逐步回归统计方法，建立西北太平洋地区24、48、72小时TC强度预报方程。通过不同的分海区试验（远海区域、华东近海、华南近海），证明回归结果较好。逐一分析选入因子发现：气候持续性因子在方程中相当重要；同时对远海区域和华东近海而言，海温影响也不容忽视，对华南近海而言，反映动力强迫作用的因素也较为重要。卫星资料的加入，对回归结果略有改进。用“刀切法”作独立样本检验，与气候持续法比较，预报误差明显减小。 相似文献
4.
Application of Equivalent Black Body Temperature in the Forecast of Tropical Cyclone Intensity 
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下载免费PDF全文 Using equivalent black body temperature (TBB) data retrieved from meteorological satellite GMS-5 during 1996-2002,the correlation between the circular symmetric/asymmetric component of TBB and the intensity of tropical cyclone (TC) at various time lags from 0 to 48 h is analyzed for the Northwest Pacific (0°-50°N,120°-155°E),excluding landed and near-coast samples.It is found that the total TBB near southeast of the eyewall,the circular symmetric component,and the sum of the amplitudes of tangential wave numbers 1-10 (SA10) of the TBB between the radii of 0.8°and 1.7°are significantly and negatively correlated with the TC intensity at various time lags from 0 to 48 h.Especially,the maximum 24-h lag correlation coefficients reach -0.52,-0.58,and -0.625,respectively. A statistical prediction scheme for TC intensity is developed based on climatic persistent,synoptic,and TBB factors by stepwise regression technique.It is found that the variance contribution of the averaged TBB over the ring between 1.0°and 1.5°from the TC center ranks the fourth in the equation for 12-h TC intensity prediction,and those of the total TBB near southeast of the eyewall and the difference between maximum and minimum TBB between 1.1°and 1.5°rank the third and fifth respectively in the 24-h forecast equation.It is also shown that,with TBB factors,the following predictions are improved compared to the scheme without TBB factors:48-h prediction for severe tropical storm (STS),12-h prediction for TC with a weakening rate greater than 15 m s~(-1)/12 h,24-h intensity prediction for TC with almost no intensity change,and 48-h prediction for TC intensifying faster than 10 m s~(-1)/48 h. 相似文献
5.
A prediction scheme with genetic neural network and Isomap algorithm for tropical cyclone intensity change over western North Pacific 总被引：1，自引：1，他引：0
A western North Pacific tropical cyclone (TC) intensity prediction scheme has been developed based on climatology and persistence (CLIPER) factors as potential predictors and using genetic neural network (GNN) model. TC samples during June–October spanning 2001–2010 are used for model development. The GNN model input is constructed from potential predictors by employing both a stepwise regression method and an Isometric Mapping (Isomap) algorithm. The Isomap algorithm is capable of finding meaningful low-dimensional architectures hidden in their nonlinear high-dimensional data space and separating the underlying factors. In this scheme, the new developed model, which is termed the GNN-Isomap model, is used for monthly TC intensity prediction at 24- and 48-h lead times. Using identical modeling samples and independent samples, predictions of the GNN-Isomap model are compared with the widely used CLIPER method. By adopting different numbers of nearest neighbors, results of sensitivity experiments show that the mean absolute prediction errors of the independent samples using GNN-Isomap model at 24- and 48-h forecasts are smaller than those using CLIPER method. Positive skills are obtained as compared to the CLIPER method with being above 12 % at 24 h and above 14 % at 48 h. Analyses of the new scheme suggest that the useful linear and nonlinear prediction information of the full pool of potential predictors is excavated in terms of the stepwise regression method and the Isomap algorithm. Moreover, the GNN is built by integrating multiple individual neural networks with the same expected output and network architecture is optimized by an evolutionary genetic algorithm, so the generalization capacity of the GNN-Isomap model is significantly enhanced, indicating a potentially better operational weather prediction. 相似文献
6.
The effects of vertical wind shear on tropical cyclone (TC) intensity change are examined based on the TC data from the China Meteorological Administration and the NCEP reanalysis daily data from 2001 to 2006. First, the influence of wind shear between different vertical levels and averages in different horizontal areas are compared. The results indicate that the effect of wind shear between 200 and 850 hPa averaged within a 200–800 km annulus on TC intensity change is larger than any other calculated vertical wind shear. High-latitude and intense TCs tend to be less sensitive to the effects of VWS than low-latitude and weak TCs. TCs experience time lags between the imposition of the shear and the weakening in TC intensity. A vertical shear of 8–9 m/s (9–10 m/s) would weaken TC intensity within 60 h (48 h). A vertical shear greater than 10 m/s would weaken TC intensity within 6 h. Finally, a statistical TC intensity prediction scheme is developed by using partial least squares regression, which produces skillful intensity forecasts when potential predictors include factors related to the vertical wind shear. Analysis of the standardized regression coefficients further confirms the obtained statistical results. 相似文献
7.
Accurate prediction of tropical cyclone (TC) intensity remains a challenge due to the complex physical processes involved in TC intensity changes. A seven-day TC intensity prediction scheme based on the logistic growth equation (LGE) for the western North Pacific (WNP) has been developed using the observed and reanalysis data. In the LGE, TC intensity change is determined by a growth term and a decay term. These two terms are comprised of four free parameters which include a time-dependent growth rate, a maximum potential intensity (MPI), and two constants. Using 33 years of training samples, optimal predictors are selected first, and then the two constants are determined based on the least square method, forcing the regressed growth rate from the optimal predictors to be as close to the observed as possible. The estimation of the growth rate is further refined based on a step-wise regression (SWR) method and a machine learning (ML) method for the period 1982?2014. Using the LGE-based scheme, a total of 80 TCs during 2015?17 are used to make independent forecasts. Results show that the root mean square errors of the LGE-based scheme are much smaller than those of the official intensity forecasts from the China Meteorological Administration (CMA), especially for TCs in the coastal regions of East Asia. Moreover, the scheme based on ML demonstrates better forecast skill than that based on SWR. The new prediction scheme offers strong potential for both improving the forecasts for rapid intensification and weakening of TCs as well as for extending the 5-day forecasts currently issued by the CMA to 7-day forecasts. 相似文献
8.
每年西北太平洋热带气旋(TC)发生的次数、移动路径和强度都是随机的,我国东南沿海各地每年受TC影响的次数便构成了某种离散型分布,而TC影响下的最大风速则可以构成某种连续型分布。该文采用上海台风研究所提供的1961—2006年TC中心风速和TC影响期间各台站大风资料,利用泊松-耿贝尔联合极值风速计算方法,计算了沿海各气象站TC影响大风的多年一遇风工程设计最大风速。结果表明:当观测资料样本序列较短,特别是像TC这样随机性很强的天气事件,泊松-耿贝尔联合极值算法更具优势;我国沿海地区有53.9%的台站50年一遇最大风速在25 m/s以下,最大风速大于42.5 m/s以上的台站分布于浙江的大陈岛、嵊山、石浦,福建的北茭和台山,广东的遮浪、上川岛和海南的西沙岛,在这些地区进行风电开发风险较大,应引起足够重视。 相似文献
9.
G. T. Diro F. Giorgi R. Fuentes-Franco K. J. E. Walsh G. Giuliani E. Coppola 《Climatic change》2014,125(1):79-94
The characteristics of tropical cyclones (TCs) over the Central America Coordinated Regional Downscaling Experiment (CORDEX) domain are examined for present and future climate conditions using the regional climate model RegCM4. RegCM4 is first tested in a 22 year (1982–2003) simulation with boundary forcing from the ERA-Interim reanalysis, showing a generally good performance in reproducing the observed TC climatology and over the Atlantic in reproducing the interannual variations of TC counts. Four scenario simulations (1970-2100) are generated using two model configurations and two driving global models (MPI and HadGEM). The simulations employing the Grell convection scheme produce too few TCs, while those using the Emanuel convection scheme reproduce the observed climatology, especially when driven by the MPI global model. The simulation of TCs is thus sensitive to both the model convection scheme and the forcing GCM. Comparison of future and present day TC statistics indicates that the frequency of future TCs decreases over the tropical Atlantic and the East Pacific coastal areas while it increases over the western areas of the East Pacific and the northern areas of the Atlantic. We also find an increase in the frequency of intense TCs and long lasting TCs, along with a northward shift of TC tracks over the Atlantic. Conclusions on the changes in TC activity are not found to be sensitive to the inclusion of SST thresholds in the detection procedure. These findings 相似文献
10.
基于多平台热带气旋表面风场资料（MTCSWA）,研究了2007～2016年6～11月西北太平洋上不同尺度热带气旋（TC）的气候统计特征,TC各级风圈半径在不同象限的变化特征、风场结构的对称度及二者与强度变化之间的相关性。利用7级风圈半径与TC近中心最大持续风速（MSW）来定义TC的尺度和强度。结果表明,西北太平洋上TC的平均尺度为221.9 km,其中小TC平均尺度为96.4 km,大TC平均尺度为346.4 km。大TC活动位置的空间分布较小TC更为集中,整体活动范围较小TC偏北。TC尺度的峰值出现在8月和10月。在TC的风场结构中,7级、10级、12级风圈的平均半径分别为221.9、121.0、77.4 km。TC风圈的对称度的统计结果表明7级风圈的对称度最低,12级风圈的对称度最高。相关分析表明,在TC的生命史中,各级风圈半径与其强度存在一定的正相关关系,其中12级风圈半径与强度的相关性最低;对于同一风圈而言,在TC的不同发展阶段中,不同象限的风圈半径与强度的相关性不同。在TC的风场结构中,风圈的对称度与TC强度的相关性随着风圈强度的增强而减弱,只有7级风圈的对称度在TC的整个生命周期中表现出与TC强度之间的弱的正相关关系。 相似文献
11.
为了进一步了解热带气旋(TC)尺度变化与其结构的相关关系,本文基于多平台热带气旋表面风场资料,通过相关分析得出西北太平洋上TC的24 h尺度变化率(SCR)与其尺度,强度以及强度变化率(ICR)的相关系数分别为-0.43,-0.12,0.25.其中SCR-ICR的相关关系主要受不同发展阶段的影响,在TC均达到/均未达到最大尺度和最强强度的阶段中,SCR-ICR的相关系数上升至0.40,表明在这些阶段中ICR是预报SCR的潜在因子之一.当TC尺度较小(大)和强度较弱(强)时其尺度更易扩张(收缩). 相似文献
12.
A Statistical Analysis on the E ect of Vertical Wind Shear on Tropical Cyclone Development 下载免费PDF全文
下载免费PDF全文 Using tropical cyclone (TC) best track and intensity of the western North Pacific data from the Joint TyphoonWarning Center (JTWC) of the United States and the NCEP/NCAR reanalysis data for the period of 1992-2002, the effects of vertical wind shear on TC intensity are examined. The samples were limited to the westward or northwestward moving TCs between 5°N and 20°N in order to minimize thermodynamic effects. It is found that the effect of vertical wind shear between 200 and 500 hPa on TC intensity change is larger than that of the shear between 500 and 850 hPa, while similar to that of the shear between 200 and 850 hPa. Vertical wind shear may have a threshold value, which tends to decrease as TC intensifies. As the intensifying rate of TC weakens, the average shear increases. The large shear has the obvious trend of inhibiting TC development. The average shear of TC which can develop into typhoon (tropical depression or tropical storm) is below 7 m s-1 (above 8 m s-1). 相似文献
13.
The present study revealed that a climate regime shift occurred during the 1988–1991 period involving changes in tropical cyclone (TC) intensity (central pressure, maximum sustained wind speed) during the summer near 30°N in East Asia. Climatologically, TC intensity at 110°–125°E near 30°N (over Mainland China) is the weakest at that latitude while the strongest is found at 125°–130°E (over Korea). The TC intensity during the 1991–2015 (91–15) period had strengthened significantly compared to that of the 1965–1988 (65–88) period. The strengthening was due to a significantly lower frequency of TCs that passed through Mainland China during the 91–15 period. This lower frequency of was due to anomalous northeasterlies blown from the anomalous anticyclonic circulation located over continental East Asia and that had strengthened along the coast. Instead, TCs mainly followed a path from eastern regions in the subtropical western North Pacific to Korea and Japan via the East China Sea due to anomalous cyclonic circulations that had strengthened in the western North Pacific. In addition, low vertical wind shear had formed along the mid-latitude region in East Asia and along the main TC track in the 91–15 period, and most regions in the western North Pacific experienced a higher sea surface temperature state during the 91–15 period than in the previous period, indicating that a favorable environment had formed to maintain strong intensities of TCs at the mid–latitudes. The characteristics of TCs at the lower latitudes caused a strong TC intensity at the time of landfall in Korea and a gradual shifting trend of landing location from the western to southern coast in recent years. 相似文献
14.
On Sea Surface Roughness Parameterization and Its Effect on Tropical Cyclone Structure and Intensity 总被引：3，自引：0，他引：3
A new parameterization scheme of sea surface momentum roughness length for all wind regimes, including high winds, under tropical cyclone (TC) conditions is constructed based on measurements from Global Positioning System (GPS) dropsonde. It reproduces the observed regime transition, namely, an increase of the drag coefficient with an increase in wind speed up to 40 m s-1 , followed by a decrease with a further increase in wind speed. The effect of this parameterization on the structure and intensity of TCs... 相似文献
15.
利用1949—2018年中国气象局台风最佳路径、2018年中央气象台的台风路径强度实时预报、ECMWF数值预报以及NCEP逐日高分辨率海温RTG_SST(0.083°×0.083°)等资料,对2018年西北太平洋台风活动的主要特征和预报难点进行了分析。结果表明:2018年台风生成频数偏多,生成源地偏东,南海台风活跃;生成时间集中,盛夏台风异常偏多,台风群发性强,双台风或多台风共存活动频次偏多;台风生命史长,累积气旋能量偏高,超强台风偏多,但整体强度偏弱,较弱台风异常偏多;台风登陆频数和频次偏多,登陆地段偏北,且登陆台风强度明显偏弱。中央气象台24~120 h台风路径预报误差分别为72、124、179、262和388 km,各时效误差较2017年均有减少,特别是长时效路径预报误差明显减少;24~120 h台风强度预报误差分别为3.7、5.1、5.5、6.6和7.1 m·s-1。由于双台风或多台风之间的相互作用、“鞍型场”等造成路径预报难度大以及多台风之间复杂水汽输送、近海台风强度变化不确定性大等原因,造成强度预报难度大。若采用更多观测资料、进行更深入的台风机理研究以及研发更有效的台风客观预报技术将是突破这些难点的有效途径。 相似文献
16.
Atmospheric Infrared Sounder (AIRS) temperature profiles during the period 2003–2013 are used to examine the warm core structures and evolution characteristics associated with the formation and development of western North Pacific (WNP) tropical cyclones (TCs). The warm core with a steady 1.5-K warming in the layer of 500–300 hPa occurs 24 h prior to tropical storm formation. Apparent eye warming extends upward to upper troposphere and downward to near surface after tropical storm formation. TC intensity shows a robust positive correlation with the warm core strength and has a weaker but still significant positive correlation with the warm core height (the weaker correlation is primarily attributed to the scattered warm core heights of weak TCs). Future 24-h intensity change of TCs has little correlation with the warm core height while it has a significant negative correlation with the warm core strength. Weak to moderate warm core at 500–200 hPa may be a necessary but not sufficient initial condition for TC rapid intensification. AIRS-observed warm core structures, in combination with other environmental factors, have the potential to improve the prediction of tropical storm formation and rapid intensification of WNP TCs. 相似文献
17.
Hyeong-Bin Cheong In-Hyuk Kwon Hyun-Gyu Kang Ja-Rin Park Hyun-Jun Han Jae-Jin Kim 《Asia-Pacific Journal of Atmospheric Sciences》2011,47(3):293-303
A new Tropical Cyclone (TC) initialization method with the structure adjustable bogus vortex was applied to the forecasts of track, central pressure, and wind intensity for the 417 TCs observed in the Western North Pacific during the 3-year period of 2005–2007. In the simulations the Final Analyses (FNL) with 1° × 1° resolution of National Center for Environmental Prediction (NCEP) were incorporated as initial conditions. The present method was shown to produce improved forecasts over those without the TC initialization and those made by Regional Specialized Meteorological Center Tokyo. The average track (central pressure, wind intensity) errors were as small as 78.0 km (11.4 hPa, 4.9 m s?1) and 139.9 km (12.4 hPa, 5.5 m s?1) for 24-h and 48-h forecasts, respectively. It was found that the forecast errors are almost independent on the size and intensity of the observed TCs because the size and intensity of the bogus vortex can be adjusted to fit the best track data. The results of this study indicate that a bogus method is useful in predicting simultaneously the track, central pressure, and intensity with accuracy using a dynamical forecast model. 相似文献
18.
近30a登陆我国的西北太平洋热带气旋活动的时空变化特征 总被引：5，自引：0，他引：5
采用1979—2006年美国联合台风预警中心的热带气旋（tropical cyclone,TC）资料,对登陆我国的西北太平洋（Northwest Pacific,NWP）TC强度、路径、登陆地点的气候特征、年际变化及其演变趋势进行了统计分析。结果表明：登陆我国的TC以发源于西北太平洋的西侧以及南海中、北部为主,并且在NWP西南区生成的登陆我国的TC基本以西北移动路径为主,而在NWP西北侧和南海生成的登陆我国的TC多为打转或移动路径转向;登陆我国的TC不仅在强度上具有明显增强的变化规律,而且在登陆位置上存在向东北方向偏移的演变趋势,使得登陆厦门以北区域的TC数量具有增加的趋势,而登陆厦门以南的TC数量存在减少的趋势;登陆我国的NWP TC移动路径存在年代际的演变特征。 相似文献
19.
介绍了西北太平洋热带气旋(TC)频次的延伸期预报方法,比较了新构建的动力-统计和统计预报模型的预测技巧,并探讨了预报误差来源及改进方向。动力-统计预报模型是基于动力模式预测的热带季节内振荡(ISO)信号及ISO-TC生成的同期统计关系来进行预报;统计预报模型则是基于TC生成的前兆ISO信号建模预报。预报评估结果显示,动力-统计混合预报模型的预报技巧高于统计预报模型,原因在于影响TC次季节变化的前兆信号并不稳定,且随着预报超前时间迅速消散,无法提供有效且稳定的可预报源;相反地,TC生成与同期的ISO背景场显著相关,动力模式对ISO(预报因子)有较好的预报能力,因此动力-统计相结合的预报方法为TC延伸期预报提供了有效途径。虽然目前动力-统计预报模型的预报技巧可达5～6周,但仍有进一步改进和提高的空间。通过对不同类型TC预报技巧检验和误差分析,研究认为年际和年代际背景场对ISO调控TC活动的影响不可忽略,且热带外ISO信号(如罗斯贝波破碎和西风急流强度等)对TC频次和轨迹也有显著影响,这些因子为TC延伸期预报提供了潜在可预报源。 相似文献
20.
登陆台湾岛热带气旋强度和结构变化的统计分析 总被引：2，自引：0，他引：2
利用1949—2008年共60年的《台风年鉴》、《热带气旋年鉴》资料及CMA-STI热带气旋最佳路径数据集,2001—2008年美国联合台风警报中心(JTWC)热带气旋尺度相关资料及日本气象厅(JMA)的TBB资料,统计分析西北太平洋(包括南海)热带气旋(TC)在登陆台湾过程中强度和结构变化的基本特征,主要结论有:(1)TC登陆台湾时强度为台风及以上级别的样本数占总样本数约60%,主要出现在6—9月,东部登陆TC的强度一般比在西部登陆的强;(2)大部分TC在岛上维持6 h左右,登陆时最大风速≤5级和强度为超强台风的TC穿越台湾岛时移动比较缓慢;(3)126个登陆台湾的TC样本过岛后近中心海平面气压平均增加5.61 hPa,近中心最大风速平均减小3.58 m/s,在台湾东部地区登陆TC的衰减率比在西部登陆的大3倍左右;(4)TC在登陆台湾前6 h至离岛后6 h期间其8级和10级风圈半径均明显减小,TC形状略呈长轴为NE-SW向的椭圆状,而其最大风速的半径却逐渐增大;(5)TBB分析结果显示,TC登陆台湾前,其外围对流主要出现在南侧和西侧,结构不对称,登陆以后,TC北部及东部的对流显著发展,外围结构区域对称;但中心附近的强对流则从登陆前6 h开始逐渐减弱消失。表明TC穿越台湾过程中内核结构松散、强度减弱。 相似文献