多层套细网格台风预报模式

本文提出一个多层套细网格台风路径数值预报模式,粗网格的预报区域包括两半球的低纬地区。粗细网格的匹配采用单方向衔接。初始台风环流是由台风中心海平面气压与最大风速所确定的一个模型环流。1984年台风季节实时预报试验取得了良好的结果。      

Integration of a semi‐implicit model with time‐dependent boundary conditions

A semi‐implicit barotropic primitive equations model is integrated over a limited area with time dependent boundary conditions using the standard mesh and a finer mesh. Following a theorem by Charney, a minimum number of variables are specified as boundary conditions for the limited area integrations in order to avoid mathematical over‐specification. The comparison of coarse mesh limited area forecasts with the corresponding forecasts made over a much larger domain demonstrates that the essential features, namely the Rossby type perturbations, are handled almost perfectly. The fine mesh forecasts over the same limited area are also very good. Finally, the effect of specifying inaccurate boundary conditions, in the form of twelve‐hour forecasts, is briefly illustrated.     

中尺度模式中不同对流参数化方案的比较试验

MM5模式中有多种积云参数化方案可供选择,粗细网格采用不同的积云参数化方案对降水预报有一定的影响。采用常用的四种积云参数化方案,粗细网格进行不同配置,对辽东半岛大暴雨过程进行试验发现：细网格信息可以通过嵌套边界向外层传递,影响外层预报结果。细网格选取GR方案比选取AK、BM、KF方案模拟效果好很多;细网格参数化方案不变,粗网格取不同的参数化方案,对细网格的模拟结果差别不大。但选取一个好的参数化方案对细网格的模拟结果会稍有改进。     

A comparison of 3D model results with observations for an isolated CCOPE thunderstorm

Summary This paper is concerned with the simulation of deep convection for the CCOPE 19 July 1981 case study. Clark's three-dimensional (3D) cloud model modified to use the bulk water parameterization scheme of Lin et al. has been used in the simulation of the CCOPE 19 July 1981 case in coarse mesh, fine mesh, and interactive grid nested schemes, respectively. Comparisons with observations show this 3D grid nested cloud model is capable of both capturing both the dynamic and microphysical properties of the cloud.In the nested grid fine mesh model simulation, the timing and mode of cloud growth, the diameter of liquid cloud, the cloud top rate of rise, the maximum cloud water content, and the altitude of first radar echo are consistent with observations. The simulated thunderstorm begins to dissipate, after precipitation reaches the ground as indicated by the decreasing values of maximum updraft and maximum liquid cloud water content, and ends as a precipitating anvil as was observed in the actual thunderstorm. The model precipitation developed through ice phase processes consistent with the analysis of observations from the actual thunderstorm.Qualitative comparisons of the actual radar RHIs with simulated reflectively patterns from the 3D model show remarkable similarity, especially after the mature stage is reached. Features of the actual RHI patterns, such as the weak echo region, upshear anvil bulge, strong upwind reflectivity gradients, and the upwind outflow region near the surface are reproduced in the simulation. Comparison of the actual radar PPIs with horizontal cross sections of radar reflectivity simulated by the 3D model, however, show modest differences in the storm size with the 3D simulated thunderstorm being 1–2 km longer in the west-east direction than the actual thunderstorm. The model-predicted maximum updraft speed is smaller than the 2D model-predicted maximum updraft speed, but still greater than what was observed.Comparisons among the nested grid fine mesh model (MB), nested grid coarse mesh model (MA), fine mesh model (FM), coarse mesh model (CM), and 2D model results previously published show that the nested grid fine mesh model (MB) gives the best simulation result. The various 3D model simulation results are generally similar to each other except for the difference in the domain maximum values. The domain maximum values in the fine mesh models (MB and FM) are generally higher than the coarse mesh models as a result of averaging over a smaller area.With 7 Figures     

应用于双向套网格模式的一种变格距差分解法

本文提出了一种用于双向套网格模式的变格距差分计算方案。该方案在不同格距的网格区采用不同精度的差分格式，它自然地连接粗细网格，避免了一般套网格方案在粗细网格相重合点上进行的重复计算。用解析法和数值试验证明了:它与其它一些变格距差分格式相比，对短波的穿透能力有明显改进，虚假的反射也较小。应用该方案建立了正压原始方程双向套网格模式，并采用空间分解和时间分解计算方法。这不仅使二维问题转化为二个一维问题，而且二维套网格也可简化为一维均匀网格和一维套网格两部分，从而使计算和程序简化。用理想场为初值所做的一系列数值试验表明，该模式中的波可以自由进出粗细网格区，计算稳定。最后，还用该模式做了台风路径预报试验，给出了一些试验结果。     

高分辨率WRF三维变分同化在北京地区降水预报中的应用

为迎接2008年北京奥运会,改进北京地区的天气预报,建立了一个基于三重嵌套区域(27/9/3 km)的WRF三维变分同化(WRFVar)和WRF模式的高分辨率快速更新循环同化预报(Rapid-Up-date Cycle)系统,并针对2006年8月1日发生在北京地区的强对流天气进行了一系列数值试验,结果表明:高分辨率的快速更新循环系统很好地预报出了此次强降水过程;在WRF三维变分同化里调节背景场误差和观测误差,提高了降水预报的效果;插值得出的3 km背景场误差可以作为一个合理的近似在3 km分辨率的WRFVar中使用,用户可以不必积累高分辨率的预报场去计算背景场误差,从而节省大量计算资源。3 h频次的RUC已经能满足预报要求,更高频次(1 h)的RUC并没有导致预报的进一步提高。     

一粗细网格模式“三维嵌套”方案的设计及试验结果分析

该文简要地分析了水平侧边界嵌套技术中存在的问题，提出了“三维嵌套”的设想，并就不同范围对水平侧边界嵌套及三维嵌套方案进行了对比试验。试验结果表明：（１）三维嵌套方案对区域模式的降水及中、下层形势场的预报均有所改进；（２）嵌套区域越小，三维嵌套方案对预报的改进效果越明显；（３）三维嵌套方案对预报的改进随积分时间的增长而愈加显著     

大连地区ECMWF细网格10 m风场与观测实况对比与检验

选取2016年1月至2018年12月ECMWF(简称EC)细网格10 m风资料,与大连地区8个国家气象观测站地面各类实况风速资料进行对比分析,得出EC 10 m风速预报与最大风速最为接近,与极大风速相关性最好,EC 10 m风速对大连地区8站整体预报平均偏大.通过对EC 10 m风速各预报时限资料与其对应的最大风速误差...     

有限区域高分辨率模式的改进,发展及试验

对复杂地形条件下嵌套细网和数据模式进行了改进和发展，使之成为水平格距为５０ｋｍ，垂直分层为１１层的高分辨率模式。同时对其物理过程如积云对流参数化、边界层物理等也进行了改进，并将该模式程序优化为能在计算机工作站和微机上进行业务运行的数值预报系统。     

有限区分析预报系统及其业务应用

中国国家气象中心在新开发的有限区多元最优插值分析技术及１５层球面网格原始方程模式的基础上建立了一个新的有限区分析预报系统。１９９１年投入业务使用，主要用于２４－４８ｈ降水预报。这个系统是依附于全球同化预报系统的一个分支系统。亦即使用全球谱模式６ｈ预报作为初估值进行有限区细网格分析及使用其１２—６０ｈ预报作为侧边界值进行非同步嵌套预报。作为一个升级模式系统，它的进步表现在：较充分使用了卫星测湿资料及地面资料的细网格多元最优插值分析；同时使用同场及质量场初值，成功地实现了有限区非线性正规模初始化处理；采用位涡拟能守恒差分格式，包含较真实地形的球面坐标原始方程模式；实现了具有不同模式地形的差分模式与谱模式的嵌套及设计了分级降水客观检验系统。     

THE LIMITED AREA ANALYSIS AND FORECAST SYSTEM AND ITS OPERATIONAL APPLICATION

The limited area analysis and forecast system(LAFS)was developed and has been put intooperational use at National Meteorological Center since January 1991.This system can be regardedas a branch system attached to the global assimilation and medium-range forecast system which isbased on a spectral model T42L9.The main advancements as an upgrade operational system are asfollows:the use of a regional fine mesh optimum interpolation(OI)analysis scheme:the realiza-tion of the nonlinear normal mode initialization for the regional model:the development of a 15L-spherical grid primitive equation model(with real topography and enstrophy conservation)and itsnesting forecast with the spectral model T42L9.     

珠江三角洲降水数值预报的初步试验

以广州区域气象中心的实时资料库和大气所的细网格降水数值预报模式为基础,在VAX6220机上建立了珠江三角洲中尺度准业务降水数值预报系统,并从1990年5月20日至6月10日进行了连续22天的试验,对结果的分析表明,系统能稳定及时地提供12小时和24小时的预报产品,对短期降水预报具有一定参考价值。      

区域气候模拟中侧边界嵌套误差的研究

在复杂地形条件下嵌套细网格模式的基础上，建立了与球圈模式相嵌套的区域模式系统，对几种不同条件下的嵌套误差进行了比较分析，研究了区域模式嵌套误差的特征分布及时空演变特征。初步分析表明:区域模式嵌套造成的误差在不同区域的分布不同，且不同的物理量在时空的分布也不同；动能场的误差主要在边界区上层的流入区，感热场的误差在边界区上层，水汽的误差在边界区上层的流入区；侧边界输入时间间隔对模式嵌套误差有一定的影响。有限区细网格模式在上层长波误差大于粗网格环圈模式上层误差，在下层短波模拟的误差比粗网格环圈模式的下层误差要小。相速误差对侧边界嵌套误差的影响在下层很严重，嵌套误差的大小与大小模式的网格距之比有关；在大小模式物理参数化过程一致的条件下，无日变化的区域模式其嵌套误差远大于有日变化的区域模式嵌套误差。     

Conditional stochastic simulation model for spatial downscaling for assessing the effects of climate change on hydro-meteorological variables

The current study examines the recently proposed “bias correction and stochastic analogues” (BCSA) statistical spatial downscaling technique and attempts to improve it by conditioning coarse resolution data when generating replicates. While the BCSA method reproduces the statistical features of the observed fine data, this existing model does not replicate the observed coarse spatial pattern, and subsequently, the cross-correlation between the observed coarse data and downscaled fine data with the model cannot be preserved. To address the dissimilarity between the BCSA downscaled data and observed fine data, a new statistical spatial downscaling method, “conditional stochastic simulation with bias correction” (BCCS), which employs the conditional multivariate distribution and principal component analysis, is proposed. Gridded observed climate data of mean daily precipitation (mm/day) covering a month at 1/8° for a fine resolution and at 1° for a coarse resolution over Florida for the current and future periods were used to verify and cross-validate the proposed technique. The observed coarse and fine data cover the 50-year period from 1950 to1999, and the future RCP4.5 and RCP8.5 climate scenarios cover the 100-year period from 2000 to 2099. The verification and cross-validation results show that the proposed BCCS downscaling method serves as an effective alternative means of downscaling monthly precipitation levels to assess climate change effects on hydrological variables. The RCP4.5 and RCP8.5 GCM scenarios are successfully downscaled.     

沙尘传输路径上气溶胶浓度与干沉降通量的粒径分布特征

利用2002年春季中国北京、青岛和日本福冈3个地区的分级气溶胶浓度资料,结合改进的Wil-liams模型,分析了沙尘传输路径上空气动力学直径≤11μm气溶胶(PM11)浓度和干沉降通量的粒径分布特征,并估算了黄海海域春季PM11的干沉降通量及不同粒径气溶胶的贡献。结果表明:3个地区PM11浓度粒径分布在非沙尘时期呈双峰分布,两个峰值分别出现在细颗粒(<2.1μm)部分和粗颗粒(2.1～11μm)部分;沙尘时期,3个地区PM11浓度粒径分布均趋于单峰分布,峰值位于粗颗粒部分,并且越靠近沙尘源地,这种趋势越明显。较强沙尘天气时期,粗颗粒部分的浓度峰值粒径从沙尘源地附近到黄海西岸、东岸呈降低趋势,但在一般沙尘天气时期,这种现象并不明显。沙尘时期和非沙尘时期,3个地区粗颗粒的干沉降通量均随粒径增加而增大,细颗粒的干沉降通量随粒径的变化不明显。虽然沙尘时期粗颗粒沉降通量较非沙尘时期有明显增加,但粗颗粒对PM11干沉降通量的贡献与非沙尘时期相比,并没有明显的变化。较强沙尘天气时期,3个地区粗颗粒的干沉降通量明显高于一般沙尘天气时期;细颗粒的干沉降通量较一般沙尘天气时期略有增加。黄海海域春季沙尘时期PM11的干沉降通量约为31.70～58.59mg.m-2.d-1,非沙尘时期约为8.33～15.94mg.m-2.d-1。粗颗粒是黄海海域春季PM11干沉降通量的主要贡献者,约占PM11干沉降通量的94.2%以上。     

湿地边界层通量影响热带气旋登陆维持和降水的数值试验

用MM5v3模式及其TC Bogus方案对台风Nina(7503)在中国大陆上的维持加强过程进行模拟,并通过各种敏感性试验,研究了饱和湿地对热带气旋在大陆上维持和降水的影响。结果表明:湿地边界层内各通量对登陆热带气旋的强度、结构及其降水具有明显影响。潜热通量和感热通量均有利于热带气旋的维持和加强,其中潜热输送的作用显著,感热输送的作用较小。潜热和感热通量有利于热带气旋雨带螺旋结构的维持,对台风降水分布有明显影响,动量通量对热带气旋风场有显著的削弱作用,是其能量耗散、低压填塞的主要原因,但对台风降水具有局地增幅作用。     

北京市城六区2018年空气质量数值预报效果评估

为更好地改进提高模式预报性能,评估了新一代WRF-CMAQ（Weather Research and Forecasting model-Community Multi-scale Air Quality model）模式系统的不同网格分辨率预报产品对2018年北京市城六区空气质量预报结果的影响。分析表明:（1）基于首要污染物为PM2.5的预报数据集,模式系统1 km网格分辨率（BJ01）和3 km网格分辨率（BJ03）等级准确率优于官方预报结果,模式系统BJ01和BJ03区域4天内预报等级准确率均达到50%以上,24 h内准确率达60%以上,官方预报24 h内等级准确率为59%。本文引入预报综合评分法,基于IAQI（Individual Air Quality Index）和等级级别正确性双因素的预报综合评分结果显示,模式系统BJ03得分75.0分最高,BJ01次之,优于官方预报结果,模式9 km网格分辨率（BJ09）得分69.1分最低。（2）基于模式系统2018年长时间序列预报结果分析表明:模式系统预报的PM2.5浓度与实测的变化趋势较为一致,其中模式系统BJ03结果与实测PM2.5浓度相关系数达0.76,覆盖区域较大的BJ03和BJ09对PM2.5浓度峰值模拟较好。中重度污染过程的PM2.5浓度峰值模式预测误差表明,不同分辨率模式预报峰值误差的变化趋势基本一致,覆盖区域更大的粗分辨率模式预报结果高于覆盖区域小的细分辨率模式预报结果。与预报综合评分结果一致,统计分析结果也表明BJ03区域预报效果最好,平均偏差为0.83 μg/m3;而BJ01区域预报整体偏低,BJ09区域预报整体偏高。（3）基于不同网格分辨率预报效果的空间差异性分析表明:同一站点在不同分辨率上表现不一致,BJ01区域中农展馆站表现最好,BJ03区域中万柳站表现最好,BJ09区域中东四站表现最好。     

Adaptive use of research aircraft data sets for hurricane forecasts

Summary This study uses an adaptive observational strategy for hurricane forecasting. It shows the impacts of Lidar Atmospheric Sensing Experiment (LASE) and dropsonde data sets from Convection and Moisture Experiment (CAMEX) field campaigns on hurricane track and intensity forecasts. The following cases are used in this study: Bonnie, Danielle and Georges of 1998 and Erin, Gabrielle and Humberto of 2001. A single model run for each storm is carried out using the Florida State University Global Spectral Model (FSUGSM) with the European Center for Medium Range Weather Forecasts (ECMWF) analysis as initial conditions, in addition to 50 other model runs where the analysis is randomly perturbed for each storm. The centers of maximum variance of the DLM heights are located from the forecast error variance fields at the 84-hr forecast. Back correlations are then performed using the centers of these maximum variances and the fields at the 36-hr forecast. The regions having the highest correlations in the vicinity of the hurricanes are indicative of regions from where the error growth emanates and suggests the need for additional observations. Data sets are next assimilated in those areas that contain high correlations. Forecasts are computed using the new initial conditions for the storm cases, and track and intensity skills are then examined with respect to the control forecast. The adaptive strategy is capable of identifying sensitive areas where additional observations can help in reducing the hurricane track forecast errors. A reduction of position error by approximately 52% for day 3 of forecast (averaged over 7 storm cases) over the control runs is observed. The intensity forecast shows only a slight positive impact due to the model’s coarse resolution. Corresponding author’s address: T. N. Krishnamurti, Department of Meteorology, Florida State University, Tallahassee, FL 32306-4520, USA     

省地气象台精细化天气预报系统

应用先进的中尺度数值模式和业务平台,集成并行计算、可视化工具等软件,为我国地方、军队等气象业务提供一套切实可行的精细化天气预报系统。经检验系统的24 h晴雨预报准确率可以达80%以上,对暴雨的预报也有一定的参考价值。应用在海浪预报中,可以显著提高预报准确率。系统的设计有利于基层台站的实际业务应用和模式本地化处理,无论从硬件要求,还是软件的应用和预报水平检验,系统都适合省地台站开展精细化预报业务。     

江苏暴雨概率预报及其业务应用

以未来12~36 h、36~60 h和60~84 h的暴雨预报为目标,利用2011年—2013年夏季6—8月欧洲细网格数值模式预报产品分析了江苏夏季暴雨的可能预报因子。通过对各因子进行相关性、敏感性和代表性分析后,优选了22个对不同强度降水具有较好区分能力的暴雨预报因子。以这些因子为基础建立了一种简单的江苏省暴雨概率预报方法。其预报产品已在江苏省气象业务一体化平台上投入业务使用。该方法在2011—2013年7月,针对提前12 h预报的历史回报试验中,TS技巧评分平均为13.6,明显高于EC细网格24 h降水预报产品(平均TS评分仅为4.5)。在2014年梅汛期的6月25—26日、7月1—2日和7月4—5日三次区域性暴雨个例的预报试验中,提前60、36、12 h的预报效果均较好,其平均TS评分(44.6)也明显高于欧洲细网格数值模式的降水预报(20.4)。