热带气旋频数的二次型预测模型

使用1951—2005年北半球500 hPa高度场格点资料、1949—2005年海温场 (SST) 格点资料, 计算与后期热带气旋发生频数的相关系数, 分析两个相关场显著相关区的统计特征, 进一步分析其天气气候学意义和物理意义。选取若干相关系数高的格点, 构成组合因子, 建立二次型曲线预测方程, 进行西北太平洋、南海及登陆我国、登陆广东的热带气旋年月频数的预测。预测试验和检验表明, 二次型预测模型有较高的拟合能力, 在业务应用中有较好的效果。     

登陆中国的热带气旋强度和频数物理统计预测模型及其应用

使用1949—2008年美国的再分析资料及中国热带气旋年鉴,分析60年来北半球500 hPa高度场和海面温度场与登陆中国热带气旋(以下简称TC)的强度和频数显著相关区的统计特征及其物理意义。选取相关系数高的格点构成组合因子,建立二项式曲线预测模型,制作登陆我国热带气旋的年、月强度和频数预测。检验结果表明,该模型有较高的拟合能力,在业务中可广泛应用。     

IPRC区域气候模式对西北太平洋热带气旋潜在预测能力的初步检验

利用夏威夷大学IPRC高分辨率区域气候模式,对西北太平洋热带主要气旋活动季节(6—10月)热带气旋活动的特征及其大尺度环境场进行了17年的模拟试验,检验了模式对西北太平洋热带气旋的潜在季节预测能力。试验结果表明,该模式对西北太平洋热带气旋大尺度环境场具有较好的刻画能力,模拟的热带气旋年生成频数与实况的相关系数为0.77,季节内各月生成频数相关系数为0.82,显示出良好的潜在预测能力;生成源地分布与实况较一致;总能量(PDI)的年际变化趋势模拟也较为理想。但模拟的路径频数在南海地区明显偏多,北上热带气旋偏少,最大风速的峰值区间模拟效果较差。     

热带气旋的路径及登陆预报

用几个非线性数学模型制作热带气旋短期路径预报及热带气旋个数、登陆时段、地段的短期气候预报。5年多的研究和预报试验结果表明：用指数曲线模型制作热带气旋路径预报，准确率较高。24h预报，199次平均误差123km，达到国内先进水平。用多项式等非线性模型，制作登陆我国及登陆广东热带气旋的年、月个数预测，经过3年实际应用检验，准确率达到70％～90％。用非线性预测模型的逐日气压场、逐日雨量场长期预测结果进行分析，制作广东热带气旋登陆时段、地段和南海海面热带气旋出现时间的预报，准确率达到70％～80％，2002年热带气旋的预报，采用长中短期预报相结合，数值预报与统计预报相结合，预报效果较佳。     

对东亚夏季风与西北太平洋热带气旋频数关系的初步分析

利用海陆热力差指数(ILSTD)、500 hPa位势高度场、向外长波辐射(OLR)资料及NCEP/NCAR月平均再分析数据集,分析东亚夏季风与西北太平洋地区(包括中国南海)热带气旋频数的关系,结果表明,在强夏季风年西北太平洋地区热带气旋频数偏多,而弱夏季风年同期热带气旋频数异常偏少而后期趋于正常,正常夏季风年热带气旋频数基本正常.并结合热带气旋形成的大尺度环流条件,对其动力机制作了初步探讨.     

CFSv2模式产品在汛期海南热带气旋频数预测模型中的应用

利用1982—2014年汛期影响海南的热带气旋频数、NCEP/NCAR逐月再分析资料和CFSv2模式历史回报数据,分析了热带气旋频数特征及同期环流特征,并利用逐步回归构建基于模式有效预测信息的热带气旋频数预测模型。结果表明:汛期影响海南热带气旋频数的异常与同期大尺度环流变化密切相关,且CFSv2模式对其环流影响关键区具有较好的预测技巧,包括南海到热带太平洋的海平面气压、500 h Pa位势高度场、低层风及热带太平洋纬向风切变。据此,利用逐步回归构建热带气旋频数预测模型,其26 a交叉检验中实况与预测相关为0.88,距平同号率达88%;6 a预测试验仅2 a预测与观测反号,可见模型具有良好的稳定性和预测技巧,可为汛期热带气旋频数预测提供依据。     

利用海气耦合模式预测的大尺度环流进行热带气旋年频数的预测试验

基于对热带气旋生成频数和大尺度环流相关关系的分析,利用SINTEX-F海气耦合模式预测的大尺度大气环流信息,通过提取模式预测较好与热带气旋生成密切相关的有用信息,建立了一个基于动力模式预测结果的南海和西太平洋热带气旋年频数预测模型,并对1982—2010年的热带气旋生成频数进行预测试验与检验。SINTEX-F海气耦合模式能够较好预测部分与热带气旋生成密切相关的大尺度环流特征,其中包括热带气旋活动区域的海平面气压、对流层风垂直切变、850 hPa热带辐合带和850 hPa 90 °E附近的越赤道气流。利用这些大尺度环流建立的预测因子与热带气旋生成频数有很好的相关关系,利用这些预测因子建立的多元回归预测模型对热带气旋频数的拟合率为0.8(相关系数,超过99.9%的信度检验)。预测模型的交叉检验结果表明模型整体预测效果较好。交叉检验预测结果与实况热带气旋频数的相关为0.71(超过了99.9%的信度检验),距平同号率为82.8%。但模型对热带气旋异常年的预测误差较大。      

1949～1995年西太平洋热带气旋活动的气候学特征

利用 1 949～ 1 995年的西太平洋地区热带气旋的有关资料 ,对南海和西北太平洋地区热带气旋年生成个数 ,不同强度的热带气旋登陆次数以及热带气旋出现频数的空间分布进行了气候学分析。结果表明西太平洋地区热带气旋活动与 ENSO现象有一定的联系。     

区域气候模拟系统对西北太平洋热带气旋活动的模拟分析

利用ERA-Interim再分析数据提供侧边界条件,驱动Hadley气候预测与研究中心研发的PRECIS区域气候模拟系统,检验PRECIS对1996-2005年西北太平洋热带气旋活动的模拟能力.经与实况资料的对比结果表明:PRECIS能够有效模拟影响热带气旋活动的热力与动力环境场以及西北太平洋热带气旋生成与路径的分布特征;模拟的热带气旋逐年生成频数与实况相比,相关性显著,生成频数空间分布的高值区与实况对应一致;模拟的路径频数分布与实况相比总体一致.但模拟的中国南海海域生成的热带气旋与实况相比偏多,路径频数集中在南海东北部;模拟热带气旋的北移路径偏少,强度偏弱.     

南海西南季风异常与广东省汛期重要天气的关系

南海西南季风的活动直接影响广东省前、后汛期重要天气的异常,因此深入探索南海西南季风的活动规律及其与广东省各种重大天气异常的关系十分必要.利用合成分析和相关统计方法,探讨和分析了南海西南季风建立早晚、强弱与广东省前、后汛期降水量趋势,初、终台的早晚及登陆广东省的热带气旋个数等重要天气的关系.指出南海西南季风爆发早的年份,前汛期雨量以正常偏少为主、后汛期雨量以偏多为主、登陆广东热带气旋偏多;南海西南季风偏强的年份,后汛期雨量以偏多为主,登陆广东热带气旋以正常偏多为主.还分析了4～6月、7～9月以及前冬(12～2月)的海温场、500 hPa高度场与西南季风建立早晚、强弱的关系,初步探索了西南季风建立的早晚、强弱与广东省汛期重要天气气候异常的关系的一些机理,其结果可供短期气候业务预测参考.     

PRELIMINARY ANALYSIS OF EFFECTS OF OLR FIELDS ON ANNUAL FREQUENCY OF TROPICAL CYCLONE IN FUJIAN

Outgoing Longwave Radiation (OLR) has been shown to play an important role in climatic diagnosis and long-term prediction and research. With the OLR data 1974 ~ 1997 as observed by satellites, the characteristics are computed. The results are used to depict the location and intensity of the subtropical high in the study of the relationship between the annual frequency of tropical cyclones affecting the Fujian province and ITCZ / subtropical high. It is shown that in years of fewer (more) tropical cyclones, the ITCZ is southward (northward) located with weaker (stronger) intensity, and the subtropical high is southward (northward). As shown in the relationship between the anomalous years of tropical cyclones and characteristics of preceding OLR fields, the OLR anomalies are just oppositely distributed in the Pacific Ocean for years of more (fewer) tropical cyclones. In other words, the years of fewer (more) tropical cyclones are associated with positive anomalies of OLR in the tropical west Pacific but negative (positive) anomalies in the equatorial central and eastern Pacific. It is hoped that our study be setting foundation for short-term climatological prediction of tropical cyclones.     

RELATIONSHIPS BETWEEN ZONAL WIND ANOMALIES IN HIGH AND LOW TROPOSPHERE AND ANNUAL FREQUENCY OF NW PACIFIC TROPICAL CYCLONES

Relationships between large-scale zonal wind anomalies and annual frequency of NW Pacific tropical cyclones and possible mechanisms are investigated with the methods of correlation and composition.It is indicated that when △ U200-△U850 ＞0 in the eastern tropical Pacific and △ U200- △U850 ＜0 in western tropical Pacific, the Walker cell is stronger in the Pacific tropical region and the annual frequency of NW Pacific tropical cyclone are above normal. In the years with zonal wind anomalies, the circulation of high and low troposphere and the vertical motions in the troposphere have significant characteristics. In the time scale of short-range climate prediction, zonal wind anomalies in high and low troposphere are useful as a preliminary signal of the annual frequency prediction of NW Pacific tropical cyclones.     

Cloud and water vapour motion vectors in tropical cyclone track forecasting — A review

Summary Tropical cyclone track prediction remains a vexing problem in meteorology, particularly for numerical weather prediction. While there has been significant improvement in forecast skill in recent years, errors in prognosis, particularly for recurving cyclones still remain unacceptably high. Consistent with track prediction being to a significant extent an initial value problem, there has been, in recent years, cogent evidence that, a combination of high resolution numerical modelling, the use of appropriate assimilation techniques and the exploitation of high spatial and temporal resolution observations can improve the accuracy of tropical cyclone forecasts.Before landfall, tropical cyclones have their genesis and move over the data-sparse tropical oceans. Here the prediction of their movement is an application for which remotely sensed data are quintessential. In this context, this paper examines the increasingly important contribution of cloud and water vapour motion vectors to tropical cyclone prediction and evaluates their import to accurate prediction in terms of both the numerical modelling characteristics and the data assimilation techniques employed.Overall, it is shown that cloud and water vapour drift winds have made a significant contribution to the tropical cyclone track forecasting problem when used with conventional intermittent assimilation techniques, such as 6-hourly cycling, and, more recently, with continuous assimilation techniques such as 3- and 4-dimensional variational assimilation. These continuous assimilation schemes appear to have the potential to use near continuous asynoptic wind data in the most effective way.With 3 Figures     

THE STRUCTURE OF TROPICAL CYCLONE BY TOVS AND ITS APPLICATION IN NUMERICAL WEATHER PREDICTION

The TOVS data are used to study the structure of a number of tropical cyclones for the year 2000. Differences are found to some extent between what is found and classic conceptual models in that (1) the horizontal structure is asymmetric and variable so that the low-value centers at low levels of the geopotential height field (or the high-value centers at high levels) do not necessarily coincide with the high-value centers of the temperature field; (2) the vertical structure is also variable in the allocation of the anomalies of the geopotential height field between low values at low levels and high values at high levels. It is especially noted that the centers of the anomalies are tilting at both high and low levels or the high level is only at the edge of a high-pressure zone. There is not any significant high-value anomalous center in a corresponding location with the tropical cyclone. The structure of tropical cyclone in the TOVS is also used as reference to modify the structure of typhoon BOGUS in the numerical prediction model system of tropical cyclones. It is found that the modified BOGUS performs better in coordinating with the environment and predicting the track of the tropical cyclone. The demonstration is two-fold — the structure of the typhoon BOGUS is such that it means much in the track prediction and the use of the TOVS-based tropical cyclone structure really helps in improving it. It provides the foundation for modification and evolution of typhoon BOGUS.     

Tropical cyclone track and intensity prediction: The generation and assimilation of high-density, satellite-derived data

Summary The impact of recent scientific and technological advances in tropical cyclone track, intensity and structure modeling is discussed. Since the early 1990s, developments have occurred in remote sensing, data assimilation procedures, numerical models and high performance computing. In particular, there is now quasi-continuous high spatial and temporal resolution data coverage over the previously data-sparse oceans where tropical cyclones spend most of their life cycles. There has been a rapid development of data assimilation methodologies capable of using these data to initialize high-resolution prediction models. Model developments have reached a stage of maturity where the representation of many of the physical processes necessary for improved tropical cyclone track and intensity prediction are now included. Finally, available computer power has reached the teraflop range. Most operational centers have high performance computers capable of tropical cyclone modeling at resolutions necessary for skillful track and intensity simulations. This article focuses on combining all of the above developments in a tropical cyclone data analysis and prediction system. The system has produced statistically significant reductions in the mean forecast error statistics for tropical cyclone track predictions and resulted in far more realistic simulations of tropical cyclone intensity and structure. A large number of tropical cyclones have been modeled, with emphasis on those classified as being “difficult” storms to predict accurately. These difficult storms are most responsible for rapidly growing forecast errors. Our results are illustrated by case studies of such tropical cyclones. Received October 9, 2001 Revised December 28, 2001     

BCC二代气候系统模式的季节预测评估和可预报性分析

本文利用国家气候中心（BCC）第二代季节预测模式系统历史回报数据,从确定性预报和概率预报两个方面系统地评估了该模式对气温、降水和大气环流的季节预报性能,并与BCC一代气候预测模式的结果进行了对比,重点分析了二代模式的季节可预报性问题。结果显示,BCC二代模式对全球气温、降水和环流的预报性能整体上优于一代模式,特别在热带中东太平洋、印度洋和海洋大陆地区的温度和降水的预报效果改进尤为明显。这些热带地区降水预报的改进,可以通过激发太平洋—北美型（PNA）、东亚—太平洋型（EAP）等遥相关波列提升该模式在中高纬地区的季节预报技巧。分析表明,厄尔尼诺和南方涛动（ENSO）信号在热带和热带外地区均是模式季节可预报性的重要来源,BCC二代模式能够较好把握全球大气环流对ENSO信号的响应特征,从而通过对ENSO预报技巧的改进有效地提升了模式整体的预报性能。从概率预报来看,BCC二代模式对我国冬季气温和夏季降水具备一定的预报能力,特别是对我国东部大部分地区冬季气温正异常和负异常事件预报的可靠性和辨析度相对较高。因此,进一步提高模式对热带大尺度异常信号和大气主要模态的预报能力、加强概率预报产品释用对提高季节气候预测水平具有重要意义。     

A Review of Research on Tropical Air-Sea Interaction,ENSO Dynamics,and ENSO Prediction in China

Remarkable progress has been made in observations, theories, and simulations of the ocean-atmosphere system, laying a solid foundation for the improvement of short-term climate prediction, among which Chinese scientists have made important contributions. This paper reviews Chinese research on tropical air-sea interaction, ENSO dynamics, and ENSO prediction in the past 70 years. Review of the tropical air-sea interaction mainly focuses on four aspects: characteristics of the tropical Pacific climate system and ENSO; main modes of tropical Indian Ocean SSTs and their interactions with the tropical Pacific; main modes of tropical Atlantic SSTs and inter-basin interactions; and influences of the mid-high-latitude air-sea system on ENSO. Review of the ENSO dynamics involves seven aspects: fundamental theories of ENSO; diagnosis and simulation of ENSO; the two types of ENSO; mechanisms of ENSO initiation; the interactions between ENSO and other phenomena; external forcings and teleconnections; and climate change and the ENSO response. The ENSO prediction part briefly summarizes the dynamical-statistical methods used in ENSO prediction, as well as the operational ENSO prediction systems and their applications. Lastly, we discuss some of the issues in these areas that are in need of further study.     

Predictability of the western North Pacific summer climate associated with different ENSO phases by ENSEMBLES multi-model seasonal forecasts

Predictability of the western North Pacific (WNP) summer climate associated with different El Niño–Southern Oscillation (ENSO) phases is investigated in this study based on the 1-month lead retrospective forecasts of five state-of-the-art coupled models from ENSEMBLES. During the period from 1960 to 2005, the models well capture the WNP summer climate anomalies during most of years in different ENSO phases except the La Niña decaying summers. In the El Niño developing, El Niño decaying and La Niña developing summers, the prediction skills are high for the WNP summer monsoon index (WNPMI), with the prediction correlation larger than 0.7. The high prediction skills of the lower-tropospheric circulation during these phases are found mainly over the tropical western Pacific Ocean, South China Sea and subtropical WNP. These good predictions correspond well to their close teleconnection with ENSO and the high prediction skills of tropical SSTs. By contrast, for the La Niña decaying summers, the prediction skills are considerably low with the prediction correlation for the WNPMI near to zero and low prediction skills around the Philippines and subtropical WNP. These poor predictions relate to the weak summer anomalies of the WNPMI during the La Niña decaying years and no significant connections between the WNP lower-tropospheric circulation anomalies and the SSTs over the tropical central and eastern Pacific Ocean in observations. However, the models tend to predict an apparent anomalous cyclone over the WNP during the La Niña decaying years, indicating a linearity of the circulation response over WNP in the models prediction in comparison with that during the El Niño decaying years which differs from observations. In addition, the models show considerable capability in describing the WNP summer anomalies during the ENSO neutral summers. These anomalies are related to the positive feedback between the WNP lower-tropospheric circulation and the local SSTs. The models can capture this positive feedback but with some uncertainties from different ensemble members during the ENSO neutral summers.     

Predicting Western Pacific Subtropical High Using a Combined Tropical Indian Ocean Sea Surface Temperature Forecast

Weather and climate in East China are closely related to the variability of the western Pacific subtropical high（WPSH）, which is an important part of the Asian monsoon system. The WPSH prediction in spring and summer is a critical component of rainfall forecasting during the summer flood season in China. Although many attempts have been made to predict WPSH variability, its predictability remains limited in practice due to the complexity of the WPSH evolution. Many studies have indicated that the sea surface temperature（SST） over the tropical Indian Ocean has a significant effect on WPSH variability. In this paper, a statistical model is developed to forecast the monthly variation in the WPSH during the spring and summer seasons on the basis of its relationship with SST over the tropical Indian Ocean. The forecasted SST over the tropical Indian Ocean is the predictor in this model, which differs significantly from other WPSH prediction methods. A 26-year independent hindcast experiment from 1983 to 2008 is conducted and validated in which the WPSH prediction driven by the combined forecasted SST is compared with that driven by the persisted SST. Results indicate that the skill score of the WPSH prediction driven by the combined forecasted SST is substantial.