A Case Study of the Error Growth and Predictability of a Meiyu Frontal Heavy Precipitation Event

The Advanced Regional Eta-coordinate Model (AREM) is used to explore the predictability of a heavy rainfall event along the Meiyu front in China during 3-4 July 2003.Based on the sensitivity of precipitation prediction to initial data sources and initial uncertainties in different variables,the evolution of error growth and the associated mechanism are described and discussed in detail in this paper.The results indicate that the smaller-amplitude initial error presents a faster growth rate and its growth is characterized by a transition from localized growth to widespread expansion error.Such modality of the error growth is closely related to the evolvement of the precipitation episode,and consequcntly remarkable forecast divergence is found near the rainband,indicating that the rainfall area is a sensitive region for error growth.The initial error in the rainband contributes significantly to the forecast divergence,and its amplification and propagation are largely determined by the initial moisture distribution.The moisture condition also affects the error growth on smaller scales and the subsequent upscale error cascade.In addition,the error growth defined by an energy norm reveals that large error energy collocates well with the strong latent heating,implying that the occurrence of precipitation and error growth share the same energy source-the latent heat.This may impose an intrinsic predictability limit on the prediction of heavy precipitation.     

A case study of the error growth and predictability of a Meiyu frontal heavy precipitation event

The Advanced Regional Eta-coordinate Model (AREM) is used to explore the predictability of a heavy rainfall event along the Meiyu front in China during 3-4 July 2003. Based on the sensitivity of precipitation prediction to initial data sources and initial uncertainties in different variables, the evolution of error growth and the associated mechanism are described and discussed in detail in this paper. The results indicate that the smaller-amplitude initial error presents a faster growth rate and its growth...     

Mesoscale predictability of mei-yu heavy rainfall

Recently reported results indicate that small amplitude and small scale initial errors grow rapidly and subsequently contaminate short-term deterministic mesoscale forecasts. This rapid error growth is dependent on not only moist convection but also the flow regime. In this study, the mesoscale predictability and error growth of mei-yu heavy rainfall is investigated by simulating a particular precipitation event along the mei-yu front on 4-6 July 2003 in eastern China. Due to the multi-scale character of th...     

云可分辨模式中误差的增长和传播对定量降水可预报性的影响

Limitations in the predictability of quantitative precipitation forecasting （QPF） that arise from initial errors of small amplitude and scale are investigated by means of real-case high-resolution （cloud-resolving） numerical weather prediction （NWP） integrations. The case considered is the hail and wind disaster that occurred in Sichuan on 8 April 2005. A total of three distinct perturbation methods are used. The results suggest that a tiny initial error in the temperature field can amplify and influence the weather in a large domain, changing the 12-h forecasted rainfall by as much as one-third of the original magnitude. Furthermore, the comparison of the perturbation methods indicates that all of the methods pinpoint the same region （the heavy rainfall areas in the control experiment） as suffering from limitations in predictability. This result reveals the important role of nonlinearity in severe convective events.     

川西平原一次暖区暴雨的能量天气学分析

利用NCEP 1°×1°再分析资料,应用能量天气学方法对发生在2015年8月14日的川西平原暖区暴雨进行了分析。结果表明,总能量在8月14日经历了在上午积聚和午后释放的过程,并且随着时间由北向南增加,这和雨带从成都往眉山、乐山移动一致。总能量极大值14时出现在30°N附近,这和强降雨中心午间出现在眉山吻合。14日白天潜热能和总能量变化趋势一致,且不同时段变化值接近,潜热能的变化是导致总能量变化的主要因子,潜热能是此次川西平原暖区暴雨的主要贡献者。川西平原潜热能明显增大,有利于出现降水,潜在不稳定区和雨区有较好的对应关系。饱和能差较小,对流不稳定能量增加,有利于出现降水。14日14时对流不稳定能量和潜在不稳定能量显著增大,能量平衡高度达到200h Pa附近,导致成片暴雨区的出现。      

初始扰动对一次华南暴雨预报的影响的研究

本文选取了2006年华南前汛期的一次暴雨过程, 采用AREMv2.3中尺度数值模式进行数值模拟, 分别在模式初始场的物理量场 (温度场、 风场、 湿度场) 上加扰动, 分析不同物理量场上的扰动对降水预报的影响, 以及物理量预报误差和扰动能量的增长情况。同时, 通过本个例讨论误差增长与湿对流的关系, 扰动振幅对误差增长的影响和华南区域的中尺度降水的可预报性问题。数值试验结果表明: 初始时刻不同物理量场加实际振幅的正态分布的随机扰动时, 对降水的影响是不同的。对于24小时降水预报, 温度场对降水的影响最大。误差的增长与湿对流不稳定有着密切的关系。小尺度小振幅误差增长很快, 而且是非线性增长。这意味着短期的较小尺度降水的可预报性很小。与大振幅扰动相比, 小振幅扰动造成的误差较小。但是小振幅扰动的迅速发展, 很快就会对降水预报造成较大的影响。因此, 只能有限地提高预报质量, 而且由于扰动非线性增长很快, 在预报时间的提前上, 不会有太大的改善。     

深对流系统中初始误差增长和传播的热动力机制

利用WRF模式模拟一个典型的超级单体风暴,揭示了深对流系统中初始误差增长和传播的热动力机制,讨论了系统的高度非线性作用和可预报性等问题。结果表明：影响深对流系统发展强度的不稳定能量和潜热释放是影响误差增长和空间分布的主要因素;误差增长主要集中在对流区,对流区域外的初始扰动有向对流区域传播的趋势,并可在对流区域内迅速增长。随着对流系统的强烈发展,量级为O(10^-2)的初始扰动在210 min时即可达到量级O(10⁰),反映了系统高度的非线性作用和单一确定性预报显著的局限性。另外还发现,初始扰动对的相关性迅速增加,这将导致集合离散度偏低,给集合预报捕获极端天气的能力设置了障碍。误差的传播主要以声波和重力波两种波动形式传播。声波主要表现在积分初期,能量较小。重力波则能够在对流系统以外的区域激发新的对流中心(目前这种误差是不可预报的),进而限制了系统的可预报性。     

华南中尺度暴雨数值预报的不确定性与集合预报试验

利用非静力MM5模式,分析了不同积云对流参数化方案对华南暖区暴雨数值预报的不确定性影响,进行了中尺度暴雨模式扰动集合预报试验。不同对流参数化方案的对流凝结加热引起不同的局地温度扰动,通过大气内部的热力动力过程,导致垂直速度的差异,进而影响网格尺度和次网格尺度降水时间、地点和强度。后续降水再通过凝结潜热释放形成新的扰动源。不同积云对流参数化方案还可引起扰动源能量传播方式不同,最终使模拟大气的动力和热力结构有差异。针对物理过程的不确定性,使用两种模式扰动方法构造集合预报扰动模式,第一种方法是随机组合不同积云对流参数化方案和边界层方案,第二种方法是扰动Grell积云对流参数化方案中主要参数振幅。集合预报结果表明,第一种方法的集合预报效果优于第二种方法,仅扰动参数振幅值似乎还不足以反映华南暴雨预报的不确定性。单一的确定性预报在暴雨落区和强度方面的可信度不稳定,集合产品能给华南暴雨过程提供更有用价值的指导预报,具有较高的应用价值。     

THE IMPACT OF DIFFERENT PHYSICAL PROCESSES AND THEIR PARAMETERIZATIONS ON FORECAST OF A HEAVY RAINFALL IN SOUTH CHINA IN ANNUALLY FIRST RAINING SEASON

An ensemble prediction system based on the GRAPES model, using multi-physics, is used to discuss the influence of different physical processes in numerical models on forecast of heavy rainfall in South China in the annually first raining season(AFRS). Pattern, magnitude and area of precipitation, evolution of synoptic situation, as well as apparent heat source and apparent moisture sink between different ensemble members are comparatively analyzed. The choice of parameterization scheme for land-surface processes gives rise to the largest influence on the precipitation prediction. The influences of cumulus-convection and cloud-microphysics processes are mainly focused on heavy rainfall;the use of cumulus-convection parameterization tends to produce large-area and light rainfall. Change in parameterization schemes for land-surface and cumulus-convection processes both will cause prominent change in forecast of both dynamic and thermodynamic variables, while change in cloud-microphysics processes show primary impact on dynamic variables. Comparing simplified Arakawa-Schubert and Kain-Fritsch with Betts-Miller-Janjic schemes, SLAB with NOAH schemes, as well as both WRF single moment 6-class and NCEP 3-class with simplified explicit schemes of phase-mixed cloud and precipitation shows that the former predicts stronger low-level jets and high humidity concentration, more convective rainfall and local heavy rainfall, and have better performance in precipitation forecast. Appropriate parameterization schemes can reasonably describe the physical process related to heavy rainfall in South China in the AFRS, such as low-level convergence, latent heat release, vertical transport of heat and water vapor, thereby depicting the multi-scale interactions of low-level jet and meso-scale convective systems in heavy rainfall suitably, and improving the prediction of heavy rainfall in South China in the AFRS as a result.     

我国低纬高原地区初夏强降水天气研究I·2001年5月印缅槽维持期间云南暴雨及其中尺度特征

2001年5月云南除东北部的昭通地区外,先后出现了1949年以来罕见的大雨、暴雨和连阴雨天气过程,其中以5月30日1200 UTC~6月2日1200 UTC的暴雨过程最强。本文采用常规资料、加密的降水和卫星资料对其进行了分析。结果表明,此次强降水过程是在有利的环流背景下,由中尺度系统造成的。云南有着特殊的地理位置和气候条件,其降水过程与我国的东部及华南沿海大不相同,主要结果如下:1)印缅槽与东亚冷槽的相互作用,有利于西南地区暴雨的发生。2)低空急流的产生和加强与暴雨之间存在一定的关系,它不但为暴雨提供了丰富的水汽,还有可能造成位势不稳定层结,且急流上扰动可诱使对流不稳定发展,致使强降水的发生。3)在有利的大尺度背景下产生的近地层中尺度辐合线以及它们之间的相互作用是产生此次强降水的重要系统,这类辐合线与我国东部的降水系统有很大的不同,与云南的地形特点密切相关。4)云南及其周边的特殊地形为此次强降水的产生提供了帮助。雨团大部分在原地生消,移动较少,形成了两个少动的雨强中心,中尺度对流云团的产生和发展与中尺度辐合线相交区关系密切。5)对降水区三维结构的分析表明,中尺度对流系统强烈发展区的低层为强辐合、正相对涡度,高层为强辐散、负相对涡度;存在整体的上升气柱,并在其左右两侧为下沉气流,且此气柱是高湿、低层存在对流性不稳定。6)对水汽来源和收支分析表明,这次云南强降水的水汽可能主要来自于孟加拉湾。     

The Uncertainty of Mesoscale Numerical Prediction of Heavy Rain in South China and the Ensemble Simulations?

In the context of non-hydrostatic MM5 version we have explored the impact of convective parameterization schemes on uncertainty in mesoscale numerical prediction of South China heavy rain and mesoscale heavy rainfall short-range ensemble simulation by using two kinds of physics perturbation methods through a heavy rain case occurring on June 8, 1998 in Guangdong and Fujian Provinces. The results show the physical process of impacts of convective schemes on heavy rainfall is that different latent heat of convective condensation produced by different convective schemes can make local temperature perturbation, leading to the difference of local vertical speed by the intrinsic dynamic and thermodynamic processes of atmosphere,and therefore, making difference of the timing, locations and strength of mesh scale and subgrid scale precipitation later. New precipitations become the new source of latent heat and temperature perturbation,which finally make the dynamic and thermodynamic structures different in the simulations. Two kinds of methods are used to construct different model version stochastically. The first one is using different convective parameterization and planetary boundary layer schemes, the second is adjusting different parameters of convective trigger functions in Grell scheme. The results indicate that the first ensemble simulations can provide more uncertainty information of location and strength of heavy rainfall than the second. The single determinate predictions of heavy rain are unstable; physics ensemble predictions can reflect the uncertainty of heavy rain, provide more useful guidance and have higher application value.Physics ensembles suggest that model errors should be taken into consideration in the heavy rainfall ensembles. Although the method of using different parameters in Grell scheme could not produce good results, how to construct the perturbation model or adjust the parameter in one scheme according to the physical meaning of the parameter still needs further investigation. The limitation of the current study is that it is based on a single case and more cases will be addressed in the future researches.     

Distribution of convective energy at upper level in South Korea and the possibility of artificial showery rain caused by activated CAPE

This paper reports a theoretical study on the possibility of inducing artificial showery rain using the convective available potential energy, which is naturally stored in the troposphere. We calculated the environmental parameters (frequency of climatic values, extreme value of stability index, etc.) in the upper troposphere using rawinsonde data from six main stations in Korea from 2001 to 2008 and examined the temporal spatial convective energy according to region. Our results showed that convective available potential energy, which can induce artificial rainfall, existed in the troposphere mainly in summer and were low in other seasons. Its value was found to be highest during late afternoon and in inland regions. We examined the vertical structure of the atmosphere using moisture convergence and vertical velocity (omega) and found that precipitation occurred under strong real latent instability conditions with high convective available potential energy (>3,000?J/kg) in summer and was characterized by moisture convergence at 1,000?C400?hPa, moisture divergence at 400?C300?hPa, and continuous ascending air current at 1,000?C300?hPa (?C??), on average. However, precipitation still did not occur in more than half the cases with high convective available potential energy because, according to the analysis, convective rainfall is affected to a greater extent by the value of convective inhibition than by convective available potential energy. It was also verified that in spite of zero convective inhibition, if the updrafts at a lower level were not sufficient to generate high convective available potential energy at a level higher than the level of free convection, convective rainfall would not occur under real latent instability. Therefore, we suggest it might be possible during the summer to secure the water resources in regions without precipitation by inducing ascending air current artificially under unstable atmospheric conditions to induce showery rain.     

梅雨期暴雨系统的流依赖中尺度可预报性

中尺度天气系统的初值敏感性,导致了中尺度系统预报极限的存在.中尺度系统的初始误差的快速增长及其中尺度可预报性依赖于系统流的特征.梅雨暴雨形成是多尺度天气系统共同作用的结果,决定了梅雨期暴雨的形成机制的多样性,也决定了其初值敏感性的差异性.本文重点对比分析了五种不同类型的梅雨暴雨的误差增长特征及其机制.冷空气抬升、低层涡...     

两次陕北暴雨过程热力动力机制诊断

利用常规气象观测资料、NCEP FNL分析资料（水平分辨率为1°×1°,时间分辨率为6 h）,对2013年7月21-22日和2014年7月8-9日两次陕北暴雨过程成因进行热力动力诊断,结果表明:两次陕北暴雨与高低空急流关系密切,暴雨带位于低空急流左侧的水汽辐合区,“0721”过程低空急流更强,在高低空急流耦合的强上升运动区（延安）出现大暴雨。降水前期,两次过程大气均存在对流不稳定,切变线触发对流,产生强降水,而其释放的凝结潜热加热形成中低层大气的热力不连续面,湿斜压性及锋生增强,造成整层饱和大气的抬升,维持强降水。“0721”过程前期对流降水的潜热释放更大,由此反馈的低空急流及锋生更强,出现大暴雨天气。广义对流涡度矢量垂直分量很好地描述了两次暴雨过程高低空急流耦合作用以及凝结潜热释放增强的锋生作用,其变化趋势能够反映降水的发展和减弱过程。暴雨出现在湿热力平流参数垂直积分大值中心及南侧的高梯度区,大值中心出现后约6 h会产生强降水,这对于强降水落区的预报有一定指示意义。     

潜热加热纳近方法在地面降水资料同化中的应用

基于国家气象中心GRAPES_Meso高分辨率区域模式,针对中尺度数值预报模式中预报雨带形成滞后问题,研究了潜热加热纳近方法在地面降水资料同化中的应用,以期提高短时数值天气预报的水平。2013年6月20日—7月20日的初步试验结果表明：通过调整模式潜热加热廓线,可以改进初始场中温、湿、风等要素的合理分布,增加降水区的对流不稳定性;潜热加热纳近方法可以缩短模式的调整适应 (spin-up) 时间,改进短时降水预报的落区和强度,提高3 h,6 h,12 h的降水预报TS,ETS评分;与传统的冷潜热加热纳近的试验结果相比,改进的暖潜热加热纳近试验对降水落区和强度的预报更接近观测,但强降水中心范围略大。     

初始场中尺度信息对暴雨预报的影响

由于观测资料分辨率与模式分辨率的不同,利用高分辨率模式对暴雨进行预报时,常规观测资料形成的初始场不能直接分辨出中尺度系统,这种中尺度系统特征的缺少可以认为是初始场的一种信息误差。利用中尺度天气分析的尺度分离方法可以提取这种中尺度信息。通过分析初始场中尺度信息的结构、演变特征及其对暴雨预报影响的机理,发现初始场中尺度信息的结构在主要雨带的对流敏感区具有明确的天气学意义,包含了有利暴雨产生的信息;其能量随时间也是增长的,特别是在积分12小时以后,能量迅速增长然后趋于稳定,超过了初始随机扰动的能量增长。利用减弱和增强初始场中中尺度信息的两种初始场作暴雨预报,其结果反映了初始场中尺度信息对暴雨预报的重要性,特别是对雨团位置和强度的预报,这些信息会直接影响暴雨的精细预报。     

华南暖区暴雨研究进展

2016年4月22日06时中央气象台对中国南方地区发布24 h大暴雨、暴雨预报,但实况却以小雨天气为主。本文利用常规探空和地面观测站资料、ERA-Interim再分析资料和ECMWF预报资料,对这次个例空报的原因进行了探讨,同时用同一地区另一出现了暴雨的个例作对比分析。结果表明:高空低槽东移加深,槽前西南急流发展是我国南方暴雨常见的一种天气形势,但22日08时—23日08时西南急流中低层存在辐散,且比湿值小、湿度层浅薄,没有上下一致的上升运动,水汽通量辐合高度偏低,动力和水汽条件均不利于出现较强降水;21日20时—22日08时华南地区出现一次短历时强对流天气后,K指数、对流有效位能(CAPE)和Si指数持续偏低,假相当位温(θ_se)等值线密集区(锋区)偏北,不稳定能量弱,能量条件不利于继续出现较强降水。数值模式对这次过程存在较大预报误差,但700 hPa以上较低相对湿度不利于出现大暴雨天气,一定程度上能对降水落区进行订正。分析对照个例表明,如果中低层存在弱辐散场,但水汽条件较好,也能出现较强降水;因此,从华南槽前类暖区暴雨环境场看,中低层较高比湿(高于平均值2~3 g·kg^-1)、较好的边界层触发条件、较深厚的上升气流与更强对流不稳定都可能是我国南方春季暖区暴雨重要的预报思路。

     

华东中尺度地形对浙北暴雨影响的模拟研究

以一次梅雨降水为例，利用中尺度模式进行一系列中尺度地形对降水的增幅影响的敏感性试验。结果表明，中尺度地形对强降水区域的分布和强度有很大的影响，强降水中心位于地形附近，地形引起的１２小时降水增幅高达总降水的９０％以上；中尺度地形作为一种外界迫动，初始在低层形成气旋性辐合和水汽热量的集中，然后通过凝结潜热释放所造成的中高层增温和高层辐散，使得地形垂直环流加强和向上伸展。于是在降水、潜热释放与地形垂直环流之间出现一种正反馈机制，导致地形对降水的强烈增幅；同时午后下垫面加热所形成的不稳定层结也有利于地形垂直环流的不稳定发展，产生新的雨峰；初始场的中尺度扰动似乎在降水的地形性增幅中并不起明显作用。     

引入对流凝结潜热作用对非均匀饱和大气中非地转湿Q矢量的改进研究

结合2009年第8号台风"莫拉克"登陆福建省引发的强降水过程,通过考虑对流凝结潜热加热,探讨了对非均匀饱和大气中非地转湿Q矢量(Qum)的改进。结果表明:(1)2009年8月9日08:00(北京时,下同)～10日08:00台风"莫拉克"给浙江大部分地区和福建中北部地区带来了一次暴雨过程,WRF模式较成功地模拟出了此次强降水过程。(2)850hPa Qum矢量散度场对同期降水落区具有一定指示意义,散度辐合强度变化与降水强度变化趋势有一定的对应关系。(3)此次暴雨过程中伴有大量的对流凝结潜热释放,最大潜热中心主要位于600hPa。(4)考虑对流凝结潜热加热作用得到改进的Qum矢量,600hPa改进后的Qum矢量散度辐合区对同期降水落区的指示作用得到进一步增强,诊断能力也得到进一步提高。     

北京“7.21”暴雨的不稳定性及其触发机制分析

本文利用WRF模拟的高分辨率资料对2012年7月21日北京特大暴雨过程的对流不稳定和条件对称不稳定性及其触发和维持机制进行了诊断分析。分析结果表明:(1)在临近暴雨发生时刻及暴雨初期, 大气低层主要以对流不稳定为主, 随后对流触发, 不稳定性减弱, 而低空急流和湿斜压性的增强, 使得条件性对称不稳定加强, 维持和加强了暴雨的不稳定性。(2)分析表明, 在暴雨过程中主要由于较强的水平风的垂直切变造成湿位涡的斜压分量异常, 从而导致条件性对称不稳定的产生。(3)本文分别对暴雨发生过程中的对流不稳定与条件对称不稳定的触发机制进行了分析, 主要结论如下:暴雨初期对流性降水阶段, 切变线上有利的垂直上升环境与地形的强迫抬升相互配合, 触发了对流性降水。另外, 北京上空的干冷空气入侵, 也增强了大气的对流不稳定性, 更易触发对流;对称不稳定导致的降水阶段, 主要是由于北京上空冷暖空气的长期对峙, 冷空气逐渐深入到暖湿空气下方, 使得暖湿气团沿冷气团爬升, 从而触发对称不稳定, 造成持续性降水。此次暴雨过程中0900～1300 UTC时刻暴雨增幅的重要原因是0900 UTC北京风向突变, 转为偏东风, 且风速骤增, 北京西北侧的喇叭口状的地形的强迫抬升作用, 与上空750 hPa移来的切变线上的垂直运动相互叠加, 形成中尺度涡旋, 产生了强烈的上升运动, 触发不稳定, 产生大暴雨。