The Uncertainty of Tropical Cyclone Intensity and Structure Based on Different Parameterization Schemes of Planetary Boundary Layer

Based on different parameterization schemes of planetary boundary layer (PBL), the uncertainty of intensity and structure of the Super-strong Typhoon Rammasun (1409) is investigated using the WRF model (v3.4) with six PBL parameterization schemes. Results indicate that PBL uncertainty leads to the uncertainty in tropical cyclone (TC) prediction, which increases with forecast time. The uncertainty in TC prediction is mainly reflected in the uncertainty in TC intensity, with significant differences in the TC intensity forecasts using various PBL schemes. The uncertainty in TC prediction is also reflected in the uncertainty in TC structures. Greater intensity is accompanied by smaller vortex width, tighter vortex structure, stronger wind in the near-surface layer and middle and lower troposphere, stronger inflow (outflow) wind at the lower (upper) levels, stronger vertical upward wind, smaller thickness of the eye wall, smaller outward extension of the eye wall, and warmer warm core at the upper levels of eye. PBL height, surface upward heat flux and water vapor flux are important factors that cause the uncertainty in TC intensity and structure. The more surface upward heat flux and water vapor flux and the lower PBL height, the faster TC development and the stronger TC intensity.     

西北太平洋热带气旋强度统计释用预报方法研究

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。     

利用神经网络方法建立热带气旋强度预报模型

以神经网络方法为基础,建立西北太平洋热带气旋强度预测模型,模型首先进行历史相似热带气旋选择。从选择的样本出发,计算得到一组气候持续因子、天气学经验因子和动力学因子, 对这些因子采用逐步回归方法进行筛选,将筛选得到的因子同对应时效的热带气旋强度输入神经网络训练模块,从而得到优化的预测模型。从2004-2005年西北太平洋26个热带气旋过程对12,24,36,48,72h等不同预报时效分别进行的634,582,530,478,426次预测试验结果的统计来看,相对于线性回归模型预测水平,该模型显著降低了各时段的预测误差。从几个热带气旋个例的预测结果来看, 该模型对超强台风, 以及具有强度迅速加强、再次加强等特征的热带气旋过程均有很好的描述能力。     

Comparison of Three Tropical Cyclone Intensity Datasets

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.     

A Western North Pacific Tropical Cyclone Intensity Prediction Scheme

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. Independent tests are carried out for TCs in 4 yr (2004-2007), with mean absolute errors of the maximum surface wind being 3.0, 5.0, 6.5, 7.3, 7.6, and 7.9 m s-1 for 12- to 72-h predictions at 12-h intervals, respectively. Positive skills are obtained at all leading time levels as compared to the climatology and persistence prediction scheme, and the large skill scores (near or over 20%) after 36 h imply that WIPS performs especially better at longer leading times. Furthermore, it is found that the amendment in TC track prediction and real-time model analysis can significantly improve the performance of WIPS in the SCR and ECR. Future improvements will focus on applying the scheme for weakening TCs and those near the coastal regions.     

Dvorak技术估测热带气旋强度研究进展

在常规观测资料稀少的热带洋面上,卫星云图是监测热带气旋的主要工具。Dvorak技术通过一系列经验规则,将热带气旋在卫星云图中表现出来的云系结构特征及特定的参数同其发展强度联系起来。介绍了利用Dvorak技术估测热带气旋强度的研究背景和原理方法,总结了国内外在该领域的研究进展及其存在的优势和不足,指出Dvorak技术是目前业务化估测热带气旋强度的主要工具,同时展望了该技术未来的发展方向。     

用数字云图确定热带气旋强度的原理和方法

本文采用数字云图资料，分析热带气旋强度与热带气旋中云系结构的关系，提出了云系结构紧密度因子的概念并用云带旋转的圈数表示热带气旋强度的方法。本文对原有关于热带气旋中云系结构的某些因子的取值作了适当调整， 改进了用增强红外云图确定热带气旋强度的方法。 经过对2446组样本的拟合，热带气旋强度最大风速估计值的平均绝对误差为2.48 m/s。本方法可以实现人机交互，能更客观地作出定量估计。对1993年12个热带气旋检验，最大风速平均绝对误差为2.31 m/s。     

Importance of Air-Sea Coupling in Simulating Tropical Cyclone Intensity at Landfall

An atmosphere-only model system for making seasonal prediction and projecting future intensities of landfalling tropical cyclones (TCs) along the South China coast is upgraded by including ocean and wave models. A total of 642 TCs have been re-simulated using the new system to produce a climatology of TC intensity in the South China Sea. Detailed comparisons of the simulations from the atmosphere-only and the fully coupled systems reveal that the inclusion of the additional ocean and wave models enable differential sea surface temperature responses to various TC characteristics such as translational speed and size. In particular, interaction with the ocean does not necessarily imply a weakening of the TC, with the coastal bathymetry possibly playing a role in causing a near-shore intensification of the TC. These results suggest that to simulate the evolution of TC structure more accurately, it is essential to use an air-sea coupled model instead of an atmosphere-only model.     

热带气旋强度与结构研究新进展

主要回顾热带气旋(TC)强度与结构变化的研究发展近况。以往热带气旋的理论研究认为在给定的大气和海洋热状况下,存在着一个TC所能达到的最大可能强度(MPI)。但实际上,海洋生成的热带气旋达到的最大强度普遍要比由MPI理论计算得到最大强度要低。近几年的研究表明,存在着内部和外部的不利因子通过对TC结构的改变来阻碍其加强,从而限制TC的强度。以往认为在诸多因子中,垂直风切变产生的内核区非对称结构与眼墙区下方海水上涌造成的海面冷却是制约TC达到MPI的主要因子。最新的研究进一步指出,产生TC非对称性的中尺度过程对其强度与结构的变化至关重要。中尺度过程包含有对流耦合的涡旋Rossby波、内外圈螺旋雨带、嵌于TC环流内的中尺度涡旋。外部的环境气流也是通过这些眼墙的中尺度过程影响到TC的强度与结构变化。     

用数字云图确定热带气旋强度的人－机对话系统

使用２４４６张卫星展宽云图资料样本，根据云系结构（眼，中心密蔽云区、螺旋云带，结构紧密度）和热带气旋强度的密切相关，求出回归方程、作为估计热带气旋强度的基本公式，并在计算机上实现，建立了确定热带气旋强度的人－机对话系统。经过业务试运行。获得了满意的结果。     

Sensitivity to Tendency Perturbations of Tropical Cyclone Short-range Intensity Forecasts Generated by WRF

The present study uses the nonlinear singular vector(NFSV) approach to identify the optimally-growing tendency perturbations of the Weather Research and Forecasting(WRF) model for tropical cyclone(TC) intensity forecasts. For nine selected TC cases, the NFSV-tendency perturbations of the WRF model, including components of potential temperature and/or moisture, are calculated when TC intensities are forecasted with a 24-hour lead time, and their respective potential temperature components are dem...     

Effect of Horizontal Nonuniformity of Diabatic Heating on Tropical Cyclone Intensity and Structure

1. IntroductionMuch attention has been paid to the role playedby diabatic heating in the genesis and intensificationof tropical cyclone (TC). Based on a two-dimensionalprimitive equation model, Li (1984) proposed that theevolution of TC should be different if the maximumheating appears at different height. Yang et al. (1995)found that abrupt intensification of TC at the mid-latitudes is closely related to the vertical structure ofconvective heating. May and Holland (1998) suggestedthat the…     

用数字云图确定热带气旋强度的人-机对话系统

使用２４４６张卫星展宽云图资料样本，根据云系统结构和热带气旋强度的密切相关，求出回归方程，作为估计热带气旋强度的基本公式，并在计算机上实现，建立了确定热带气旋强度的人－机对话系统。经过业务试运行，获得了满意的结果。     

Understanding of the Effect of Climate Change on Tropical Cyclone Intensity: A Review

The effect of climate change on tropical cyclone intensity has been an important scientific issue for a few decades.Although theory and modeling suggest the intensification of tropical cyclones in a warming climate,there are uncertainties in the assessed and projected responses of tropical cyclone intensity to climate change.While a few comprehensive reviews have already provided an assessment of the effect of climate change on tropical cyclone activity including tropical cyclone intensity,this review focuses mainly on the understanding of the effect of climate change on basin-wide tropical cyclone intensity,including indices for basin-wide tropical cyclone intensity,historical datasets used for intensity trend detection,environmental control of tropical cyclone intensity,detection and simulation of tropical cyclone intensity change,and some issues on the assessment of the effect of climate change on tropical cyclone intensity.In addition to the uncertainty in the historical datasets,intertwined natural variabilities,the considerable model bias in the projected large-scale environment,and poorly simulated inner-core structures of tropical cyclones,it is suggested that factors controlling the basin-wide intensity can be different from individual tropical cyclones since the assessment of the effect of climate change treats tropical cyclones in a basin as a whole.     

On Sea Surface Roughness Parameterization and Its Effect on Tropical Cyclone Structure and Intensity

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...     

Evaluation of Tropical Cyclone Intensity Forecasts from Five Global EnsemblePrediction Systems During 2015-2019

This study presented an evaluation of tropical cyclone (TC) intensity forecasts from five global ensemble prediction systems (EPSs) during 2015-2019 in the western North Pacific region. Notable error features include the underestimation of the TC intensity by ensemble mean forecast and the under-dispersion of the probability forecasts.The root mean square errors (brier scores) of the ensemble mean (probability forecasts) generally decrease consecutively at long lead times during the five years, but fluctuate between certain values at short lead times.Positive forecast skill appeared in the most recent two years (2018-2019) at 120 h or later as compared with the climatology forecasts. However, there is no obvious improvement for the intensity change forecasts during the 5-yearperiod, with abrupt intensity change remaining a big challenge. The probability forecasts show no skill for strongTCs at all the lead times. Among the five EPSs, ECMWF-EPS ranks the best for the intensity forecast, while NCEP-GEFS ranks the best for the intensity change forecast, according to the evaluation for ensemble mean and dispersion. As for the other probability forecast evaluation, ECMWF-EPS ranks the best at lead times shorter than 72 h, while NCEP-GEFS ranks the best later on.     

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.     

热带气旋过台湾后再次登陆的路径强度变化统计分析

登陆台湾后再次登陆大陆的热带气旋(TC)由于受复杂下垫面及中低纬天气系统的共同影响,过岛后在海峡内的路径、强度及结构变化复杂,导致登陆大陆的精确化定位、定强及预报难度大。分析了1949—2017年二次登陆的81个热带气旋路径及强度变化特征,并对上海台风所(CMA/STI)、美国联合台风警报中心(JTWC)及东京区域台风中心(RSMC-Tokyo)的热带气旋最佳路径数据中过岛热带气旋的定位定强进行对比分析。结果表明:二次登陆大陆热带气旋强度以减弱为主,少数热带气旋在海峡内增强;过岛后热带气旋路径多数会发生明显偏折,但三家最佳路径资料判断的偏折趋势不一致;由于热带气旋过岛时结构遭到破坏,定位定强难度增大,导致三个业务中心对其定位定强的差异较大,这种不确定性增大了其路径和强度监测预报的难度。     

近海热带气旋强度突变的垂直结构特征分析

应用1949～2003年共55年的《台风年鉴》和《热带气旋年鉴》资料以及NCEP/NCAR再分析资料, 给出热带气旋强度突变标准, 对中国近海突然增强和突然减弱的两组热带气旋进行合成分析和对比分析。结果表明, 近海热带气旋强度变化与南亚高压、 副热带高压的强度变化呈反相变化关系; 环境风垂直切变小于5 m/s是南海近海热带气旋突然增强的必要条件, 热带气旋强度突变对环境风垂直切变变化的响应时间为18～36 h; 热带气旋中心附近存在数值在 -6～6 m/s之间纬向分布的环境风垂直切变密集带, 在热带气旋突然增强时刻, 中心附近环境风垂直切变经向梯度最大; 风垂直切变在热带气旋突然增强过程中逐渐减弱, 而在热带气旋突然减弱过程中逐渐增强; 热带气旋中心附近是高低层相对涡度垂直切变的强负值区, 在热带气旋突然增强过程中相对涡度垂直切变逐渐减小, 在突然增强时刻最小。     

Reduced Sensitivity of Tropical Cyclone Intensity and Size to Sea Surface Temperature in a Radiative-Convective Equilibrium Environment

It has been challenging to project the tropical cyclone(TC) intensity,structure and destructive potential changes in a warming climate.Here,we compare the sensitivities of TC intensity,size and destructive potential to sea surface warming with and without a pre-storm atmospheric adjustment to an idealized state of Radiative-Convective Equilibrium(RCE).Without RCE,we find large responses of TC intensity,size and destructive potential to sea surface temperature(SST) changes,which is in line with some previous studies.However,in an environment under RCE,the TC size is almost insensitive to SST changes,and the sensitivity of intensity is also much reduced to 3%?C-1–4%?C-1.Without the pre-storm RCE adjustment,the mean destructive potential measured by the integrated power dissipation increases by about 25%?C-1 during the mature stage.However,in an environment under RCE,the sensitivity of destructive potential to sea surface warming does not change significantly.Further analyses show that the reduced response of TC intensity and size to sea surface warming under RCE can be explained by the reduced thermodynamic disequilibrium between the air boundary layer and the sea surface due to the RCE adjustment.When conducting regional-scale sea surface warming experiments for TC case studies,without any RCE adjustment the TC response is likely to be unrealistically exaggerated.The TC intensity–temperature sensitivity under RCE is very similar to those found in coupled climate model simulations.This suggests global mean intensity projections under climate change can be understood in terms of a thermodynamic response to temperature with only a minor contribution from any changes in large-scale dynamics.