A GCM-Based Forecasting Model for the Landfall of Tropical Cyclones in China

A statistical dynamic model for forecasting Chinese landfall of tropical cyclones (CLTCs) was developed based on the empirical relationship between the observed CLTC variability and the hindcast atmospheric circulations from the Pusan National University coupled general circulation model (PNU-CGCM).In the last 31 years,CLTCs have shown strong year-to-year variability,with a maximum frequency in 1994 and a minimum frequency in 1987.Such features were well forecasted by the model.A cross-validation test showed that the correlation between the observed index and the forecasted CLTC index was high,with a coefficient of 0.71.The relative error percentage (16.3%) and root-mean-square error (1.07) were low.Therefore the coupled model performs well in terms of forecasting CLTCs;the model has potential for dynamic forecasting of landfall of tropical cyclones.     

INTERACTIONS BETWEEN SUMMER SUBTROPICAL HIGH AND SST AND PREDICTION OF SUBTROPICAL HIGH

Most of the study on correlation between the subtropical high and SST focus on the location or intensity of the former versus the latter. It is worthwhile to work on links other than what is usually addressed to identify guidelines in the prediction of the subtropical high. Based on the analysis of subtropical high in west Pacific summer and its correlation with SST in equatorial and north Pacific from previous December to subsequent November, correlation between the area index, west-extending point, location of the subtropical high ridge and SST is discussed. It is conducted by looking into the confidence level of gridpoints and their percentage in the total and examining how they vary with time. From the point of intensity and movement/expansion, feedbacks from the subtropical high to SST are also studied. The SST affects the subtropical high just as the subtropical high affects the SST. A linkage model is thus set up to assist the making of summer rainfall prediction in China's raining seasons.     

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.     

基于GWR模型的中国中东部降水与海拔高度关系特征分析

利用中国国家级地面气象站逐时降水资料,采用地理加权回归(Geographically Weighted Regression,GWR)模型系统分析了中国中东部暖季降水与海拔高度的关系,并将二者关系作为一种客观标准,评估了ECMWF-IFS模式对2017年暖季降水的预报能力。主要结论如下:(1)总体来看,中国中东部降水频率(强度)随海拔高度升高而增加(减小),二者在不同地区的贡献程度不同导致降水量与海拔高度关系的区域差异显著。(2)通过对比午后短时和夜间长时降水事件与海拔高度关系的差异,发现午后短时降水事件的降水量主要随海拔高度升高而增加,且以降水频率与海拔高度关系的贡献为主。而夜间长时降水事件的降水量与海拔高度关系的区域一致性较差。相较于午后短时降水事件,夜间长时降水事件中有更多站点表现出降水量随海拔高度升高而减小的特征,在大地形周边陡峭地形处的站点所表现出的此种差异较东部孤立地形处更加显著。(3)根据ECMWF-IFS模式的评估结果,模式能够较好地刻画出中国中东部2017年暖季降水气候态的空间分布特征,且与观测具有较大的空间相关系数。但从降水与海拔高度关系来看,观测与模式的空间相关性偏弱。此外,模式能够表现出降水强度(频率)主要随海拔高度升高而减小(增加)的特征,但绝大多数站点在模式中的降水强度(频率)与海拔高度的负(正)回归关系要弱(强)于观测结果。     

北京暴雨与旱涝关系的分析

根据北京近百年的逐日降水资料,分析了汛期暴雨与汛期旱涝的关系。指出:汛期暴雨多少和强度对汛期降水丰歉具有决定性作用;在给出的3种暴雨指数中,相当暴雨日数与旱涝级别的相关性最好。文中还讨论了旱涝短期气候预测与暴雨过程的短期气候预测相结合的必要性。     

东亚夏季风强度的多尺度统计预测模型

东亚夏季风强度的变化与中国雨带和旱涝分布密切相关。为了做好东亚夏季风强度的短期气候预测,采用小波分析、Lanczos滤波器、交叉检验等方法,研究了东亚夏季风强度的多尺度变化特征,在年际与年代际尺度上分别寻找了它在前冬海温场、200 hPa纬向风场上的前兆信号,并利用最优子集回归建立了东亚夏季风强度的多尺度统计物理预测模型。结果表明:东亚夏季风强度存在准4年、准13年和准43年的周期振荡。年际尺度上,前冬赤道东太平洋(10°N~10°S,160°W~80°W)海温与东亚夏季风强度有最强的显著负相关,且它与东亚夏季风强度在200 hPa纬向风场上的前兆信号有较强的负相关;年代际尺度上,南半球60°S与35°S附近200 hPa纬向风之差与东亚夏季风强度有最强的显著正相关,且它与东亚夏季风强度在热带印度洋、低纬度东南太平洋、低纬度南大西洋的海温及亚洲副热带200 hPa纬向风等前兆信号有强的正相关。通过探讨这两个前兆因子对东亚夏季风强度的预测意义,揭示了他们影响东亚夏季风强度年际和年代际变化的可能物理过程。所建立的东亚夏季风强度多尺度最优子集回归预测模型,不仅对东亚夏季风强度的年际变化具有较好的预测能力,而且对异常极值年份也具有一定的预测能力。     

热带气旋强度资料的差异性分析

通过对比西北太平洋3个主要预报中心(中国气象局(CMA)、日本东京台风中心(RSMC Tokyo)和美国联合台风警报中心(JTWC))的16 a数据,分析了不同来源的热带气旋(TC)强度资料的差异性。结果表明:CMA与RSMCTokyo和JTWC的TC强度均值分别相差0.6和1.7 m/s,均通过1%信度的统计检验,即存在显著差异;3个中心对同一TC确定的强度最大差异超过30 m/s;CMA资料的台风数多于RSMC Tokyo和JTWC,年台风频数的均方差也最大,但是3个中心资料的各级TC频数差异均无统计显著性。对比有、无飞机探测时段的资料发现,对TC进行飞机探测可在一定程度上减小各中心在确定TC强度方面的分歧。为了初步了解上述资料问题对TC强度预报的可能影响,采用一个气候持续性预报方法,取不同来源的TC强度资料进行了4 a(2000—2003年)的预报。发现据JTWC资料所得TC强度预报有最大的均方根误差,RSMCTokyo的最小,CMA居中;据CMA和RSMC Tokyo(CMA和JTWC)资料,对相同TC相同时次24 h预报的平均绝对偏差达2.5(4.0)m/s,最大可相差16(21)m/s。可见,西北太平洋TC强度的基本资料问题增加了预报的难度。     

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。     

结合中尺度模式物理约束的雷达回波临近外推预报方法研究

研究设计了一种结合中尺度模式物理约束的雷达回波临近智能外推预报方法,该方法在外推预报时效(0—2 h)内即利用中尺度高分辨率模式信息对外推进行约束.首先将模式风场和雷达回波轨迹风场融合成融合风场,然后利用融合风场光流外推形成动力约束外推;并在此基础上利用模式诊断产品和雷达历史资料通过投票回归器集成多种深度学习算法构建回...     

CLIMATE PREDICTION EXPERIMENT FOR TROPICAL CYCLONE GENESIS FREQUENCY USING THE LARGE-SCALE CIRCULATION FORECAST BY A COUPLED GLOBAL CIRCULATION MODEL

Based on an analysis of the relationship between the tropical cyclone genesis frequency and large-scale circulation anomaly in NCEP reanalysis, large-scale atmosphere circulation information forecast by the JAMSTEC SINTEX-F coupled model is used to build a statistical model to predict the cyclogenesis frequency over the South China Sea and the western North Pacific. The SINTEX-F coupled model has relatively good prediction skill for some circulation features associated with the cyclogenesis frequency including sea level pressure, wind vertical shear, Intertropical Convergence Zone and cross-equatorial air flows. Predictors derived from these large-scale circulations have good relationships with the cyclogenesis frequency over the South China Sea and the western North Pacific. A multivariate linear regression （MLR） model is further designed using these predictors. This model shows good prediction skill with the anomaly correlation coefficient reaching, based on the cross validation, 0.71 between the observed and predicted cyclogenesis frequency. However, it also shows relatively large prediction errors in extreme tropical cyclone years （1994 and 1998, for example）.     

PREDICTION OF ANNUAL FREQUENCY OF AFFECTING TROPICAL CYCLONE USING THE PRODUCTS OF A HYBRID COUPLED AIR-SEA MODEL

Better correlation exists between the activity of tropical cyclones affecting East China and Shanghai and the concurrent signals of SSTA in tropical Pacific. In an attempt to justify this statistic finding, a four-dimensional variational data assimilation system is established to optimize the initial fields of a hybrid air-sea coupled model. The prediction skill of tropical SSTA is improved. Long-term statistical models for predicting annual TC frequency affecting East China area and Shanghai city are developed based on 37-year products of this model and the forecast trials have achieved satisfactory results in 1998 and 1999.     

Application of Equivalent Black Body Temperature in the Forecast of Tropical Cyclone Intensity

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.     

积云对流参数化对东亚近海热带气旋活动模拟的影响

基于CWRF高分辨率模式的模拟结果,探讨了8种积云对流参数化方案对1986—2015年间东亚近海热带气旋的路径、频数及强度模拟的影响。结果发现:采用Kain-Fritsch方案模拟的热带气旋活动的空间分布与JTWC统计结果最接近。KF方案模拟的热带气旋生成频数(强度)明显高(强)于其他积云对流参数化方案,而BMJ方案模拟的热带气旋生成频数(强度)明显低(弱)于其他积云对流参数化方案。进一步分析发现,采用优化集合积云参数化方案(ECP)模拟热带气旋频数、ACE指数以及PDI指数的年际变化趋势较好,而采用KF积云对流参数化方案对热带气旋空间分布、频数及强度的模拟总体最优。      

几种统计预测方法对1998年南京降水的跨季节预测试验及分析

对1998年南京降水分别设计并开展了求和自回归滑动平均（Auto-Regressive Integrated Moving Average,ARIMA）模型预测、经验模态分解（Empirical Mode Decomposition,EMD）预测和基于Hilbert变换（HilbertTransformation,HT）的幅频分离预测等3种跨季节统计预测试验。结果表明：ARIMA模型预测结果存在明显的系统性误差且对夏季的降水突变现象预测困难;EMD分解预测的结果虽在降水演变趋势上有明显提高,但仍未能预测出夏季的强降水突变现象,究其原因可能是对高频分量预测效果不好所致;而基于Hilbert变换的幅频分离预测方法能够对各模态分量的瞬时频率和瞬时振幅实施隔离预测,消除两者的相互影响,显著改善高频模态的预测效果,使得最终预测结果最为理想,不仅具有最高的趋势相关性和最小的偏差,而且还较好地预测出了夏季两次强降水过程。不仅如此,在对2003年的降水预测验证中,基于Hilbert变换的幅频分离预测方法同样具有最好的预测效果,表明该方法预测效果较为稳定,为改进跨季节短期气候统计预测技术提供了一个新思路。     

登陆热带气旋路径和强度预报的效益评估初步研究

近年来有关热带气旋(TC)灾情的评估指标和方法的研究取得明显进展,但较少涉及TC预报对减少灾害损失的贡献(即效益)分析。基于中央气象台的TC实时路径和强度预报,针对登陆中国大陆的TC,初步分析了TC的路径和强度预报误差与其造成的直接经济损失之间的可能关系,并在此基础上建立了包含TC路径和强度预报误差的TC直接经济损失的预估模型。TC登陆前后24 h的路径和强度预报误差与TC所致直接经济损失均呈正相关关系;对于单个登陆TC而言,若24 h TC路径预报误差每减小1 km可减少因灾直接经济损失约0.97亿元,若强度预报每减小1 m/s可减少因灾直接经济损失约3.8亿元(以2014年为基准年)。可见,提高TC路径和强度预报精度对于减灾的效益巨大,且当前尤以提高强度预报能力的效益为佳。      

南海夏季风爆发前后华南前汛期降水日变化对比分析

利用华南地区248个国家级地面气象站逐小时降水数据和14个探空站数据,分析了2003—2016年4—6月华南前汛期降水日变化特征。据南海夏季风爆发时间,将降水分为爆发前后两个时段。华南地区主要存在两条大雨带,一个位于云贵高原至南岭山脉以南,另一个位于广东沿海地区。偏北雨带集中发生在后半夜至清晨时段,偏南雨带集中发生在中午至下午时段。南海夏季风爆发前后,降水量不存在明显相关性,相关系数较大时次位于中午至下午时段。前后期年降水标准差在0.5附近,变化幅度明显时段主要集中于凌晨至清晨。午后出现3 h多年降水量变化幅度最大值,最小时段为中午12时。降水量、降水频率和降水强度的经向分布特征明显且相似:降水量和降水频率在112 °E附近出现日变化转折,以西多出现不稳定夜雨,以东白天降水波动较大。在南海夏季风爆发前,降水特征主要表现为西部高频、南部高强,在清晨更多作用于对暴雨系统的增长;季风爆发后则表现为西北-东南南的高频率高强度降水形态,在傍晚更多作用于增加降水发生频率。      

云微物理参数化对东亚近海热带气旋活动模拟的影响

基于CWRF模式（Climate Extension of Weather Research and Forecast Model）结果,探讨了8种云微物理参数化方案对1986—2015年间东亚近海热带气旋的空间分布、频数及强度模拟的影响。结果发现：CWRF模式中各云微物理参数化方案模拟的热带气旋频数普遍较观测偏少,其模拟的强度相比观测也偏弱;热带气旋的空间分布和频数对云微物理参数化方案的选择较为敏感,而云微物理方案的选择对热带气旋强度的模拟影响不大;Morrison方案和Morrison-a方案模拟的热带气旋空间分布更接近于观测,但对热带气旋频数及强度的年际变化趋势模拟得较差,而GSFCGCE方案的TS评分及强度、频数的相关系数均较其他方案偏高。综合来看,采用GSFCGCE方案模拟热带气旋活动总体最优。进一步分析发现,相较于Morrison方案和Thompson方案,考虑气溶胶影响的Thompson-a和Morrison-a方案不仅可以有效提高对热带气旋频数及空间分布的模拟能力,还对热带气旋频数及强度年际变化趋势的模拟能力也有所提升。     

GRAPES_TYM改进及其在2013年西北太平洋和南海台风预报的表现

2013年国家气象中心对GRAPES_TYM进行了改进,包括集成GRAPES-Meso模式相关改进（即基础模式升级）、对流参数化过程由Simplified Arakawa-Schubert（简称SAS）升级为Meso-SAS,并对涡旋初始化方案进行优化。7个典型个例试验统计分析表明,基础模式升级可使72 h平均路径误差减小10%,在基础模式升级的基础上对流参数化方案的升级可使72 h平均路径误差减小20%,涡旋初始化方案的优化可使72 h平均路径误差进一步减小10%。基础模式的升级和对流参数化方案的升级对GRAPES_TYM的预报路径系统右偏有明显改进;基础模式升级对强度预报的影响不明显,Meso-SAS的应用对12~48 h强度预报的改善效果较显著,而台风初始化方案的优化可以减小6~24 h预报时段内的强度预报误差。2013年全年台风回算结果表明,升级后的GRAPES_TYM其48~72 h后的路径预报误差较准业务系统减小15%~20%,最大风速预报误差减小4%~16%。      

大西洋风暴活动预测的一个潜在高效能的预测方案

A new empirical approach for the seasonal prediction of annual Atlantic tropical storm number (ATSN) was developed using precipitation and 500 hPa geopotential height data from the preceding January-February and April-May. The 2.5º×2.5º resolution reanalysis data from both the US National Center for Environmental Prediction/the National Center for Atmospheric Research (NCEP/NCAR) and the European Center for Medium-Range Weather Forecasting (ECMWF) were applied. The model was cross-validated using data from 1979-2002. The ATSN predictions from the two reanalysis models were correlated with the observations with the anomaly correlation coefficients (ACC) of 0.79 (NCEP/NCAR) and 0.78 (ECMWF) and the multi-year mean absolute prediction errors (MAE) of 1.85 and 1.76, respectively. When the predictions of the two models were averaged, the ACC increased to 0.90 and the MAE decreased to 1.18, an exceptionally high score. Therefore, this new empirical approach has the potential to improve the operational prediction of the annual tropical Atlantic storm frequency.     

A skillful method for precipitation prediction over eastern China

降水作为全球水循环的重要组成,与人们的生产生活密切相关.有效的降水预测对于防灾减灾,以及经济的可持续发展至关重要.然而,由于影响降水过程的复杂性,当前降水预测还存在诸多挑战.针对我国东部夏季降水,我们提出年际增量结合经验正交分解的新统计预测方法.首先计算降水年际增量的主模态,然后针对主模态时间序列构建预测模型,用预测的...