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短时预报

短时预报的相关文献在1989年到2022年内共计250篇,主要集中在大气科学(气象学)、无线电电子学、电信技术、自动化技术、计算机技术 等领域,其中期刊论文183篇、会议论文54篇、专利文献7278篇;相关期刊45种,包括浙江气象、干旱气象、气象研究与应用等; 相关会议37种,包括第30届中国气象学会年会、中国海洋湖沼学会水文气象分会、潮汐及海平面专委会、计算海洋物理专委会;山东(暨青岛市)海洋湖沼学会、宁夏气象学会2013年联合学术讨论会、福建省气象学会天气与气候专业委员会分会2011年年会等;短时预报的相关文献由524位作者贡献,包括王令、A·莱伯兰克、丁建军等。

短时预报—发文量

期刊论文>

论文:183 占比:2.44%

会议论文>

论文:54 占比:0.72%

专利文献>

论文:7278 占比:96.85%

总计:7515篇

短时预报—发文趋势图

短时预报

-研究学者

  • 王令
  • A·莱伯兰克
  • 丁建军
  • 王国荣
  • 胡文东
  • 赵光平
  • 郭虎
  • 丁爱萍
  • 严迎春
  • 刘春文
  • 期刊论文
  • 会议论文
  • 专利文献

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    • 孙泓川; 吴海英; 曾明剑; 程丛兰
    • 摘要: 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波强度频率分布的预测模型,最终基于预测模型结果利用降水频率匹配订正技术对外推预测的原始回波强度进行订正形成物理约束外推方法。通过2个典型个例,以及2年主汛期的长期检验对原始光流法、动力约束外推方法和物理约束外推方法进行综合评估,结果表明:动力约束外推通过改善光流法回波在边缘的堆积扭曲从而改进了预报性能,物理约束外推通过基于模式信息预测的回波频率分布调整回波强度实现回波的增强和减弱来改善预报性能,随着时效延长改善越来越明显,整体而言物理约束外推是其中最优的方案。
    • 周康辉; 郑永光; 王婷波
    • 摘要: 强对流短时预报(2—6 h)具有较大难度.一方面,基于观测数据的外推已基本不可用;另一方面,高分辨率数值模式(High-resolution Numerical Weather Prediction,HNWP)的预报性能有待提升.利用深度学习方法,将卫星、雷达、云-地闪电(简称闪电)等观测数据和高分辨率数值模式预测数据进行融合,得到更有效的闪电落区短时预报结果.基于多源观测数据和高分辨率数值天气预报数据的特性,构建了一个双输入单输出的深度学习语义分割模型(LightningNet-NWP),使用了包括闪电密度、雷达组合反射率拼图、卫星成像仪6个红外通道,以及GRAPES_3km模式预报的雷达组合反射率等共9个预报因子.深度学习模型使用了编码-解码的经典全卷卷积结构,并使用池化索引共享的方式,尽可能保留不同尺度特征图上的细节特征信息;利用三维卷积层提取观测数据时间和空间上的变化特征.结果表明,LightningNet-NWP能够较好地实现0—6 h的闪电落区预报,具备比单纯使用多源观测数据、高分辨率数值模式预报数据更好的预报结果.深度学习能够有效实现多源观测数据和数值天气预报数据的融合,在2—6h时效预报效果优于单独使用观测数据或数值天气预报数据;预报时效越长,融合的优势体现得越明显.
    • 牛嫣静; 徐向军; 郭欢; 李鸣野
    • 摘要: 全球气象预报产品是扩散模式、空气质量模式的重要基础资料和前提条件,其误差直接影响模拟结果的准确度.为考察不同气象预报产品的误差,选取2016年6月至2017年5月GFS、ECMWF、T639三种全球气象预报产品,利用中国2100个地面观测站数据,对预报产品中近地面气温进行了对比,并分析了其在不同季节、不同区域的特征.结果 表明:在中国区域三种气象产品气温预报存在偏低预报的趋势,其均方根误差的年平均值为2.60-3.52°C,相关系数的年平均值为0.89-0.92,平均绝对误差的年平均值为1.87-2.67°C.整体而言,EC表现最佳,其余依次为GFS、T639.气温预报误差存在季节变化特征,三种产品均方根误差与平均绝对误差均表现为夏秋季优于春冬季,相关系数表现为秋冬季优于春夏季.气温预报误差存在明显的地域差异,三种气象预报产品的气温误差空间分布特征较为相似,在中国华东地区误差值表现较低,在西南地区误差较高.同时,其误差水平在中国沿海地区表现较低,在地形复杂地区表现较高.
    • 高晓梅; 俞小鼎; 王令军; 王文波; 王世杰; 王新红; 韩晓
    • 摘要: 将山东中部地区16 a暖季(4-9月)106次伴随瞬时风力不低于8级的强对流个例划分为雷暴大风、冰雹雷暴大风和强降水混合型等3种类型,利用常规探空资料和地面观测资料,通过箱须图的形式分别讨论3种类型对应的一系列关键环境参数的分布特征和预报阈值.进一步,又将上述106次个例中的特强对流个例,包括产生25 m/s以上瞬时大风的特强雷暴大风个例、产生不小于20 mm直径冰雹的特强冰雹个例以及50 mm/h或以上强度的特强短时强降水个例提取出来构成一个子集,讨论其关键环境参数分布特征和预报阈值,并与全部对流个例的相应关键环境参数进行比较.最后,对鲁中地区强对流系统的触发机制进行了简要阐述和讨论.结果表明:(1)雷暴大风型、冰雹雷暴大风型和强降水混合型对应的850和500 hPa温差的最低阈值为25°C;3种类型对应的地面露点最低阈值分别为13、16和24 °C;相应的大气可降水量最低阈值分别为20、24和32 mm;相应对流有效位能的最低阈值分别为300、900和1300 J/kg;相应的0-6 km风垂直切变最低阈值分别为12.0、12.5和8.0 m/s.(2)通过地面露点、大气可降水量以及暖云层厚度等关键参数的分布特征可以将上述3种类型的前两种与第3种类型即强降水混合型进行一定程度的区分,但要通过各个关键参数的分布特征区分前两种强对流天气是困难的.(3)对于伴随冰雹的强对流天气,适宜的融化层高度为3.0-3.9 km;(4)特强雷暴大风、特强冰雹和特强短时强降水等3种特强对流类型与全部强对流个例的3种类型相比,其条件不稳定度明显增大,体现为850和500 hPa温差的增大、水汽条件有所加强、对流有效位能明显增大,3种类型特强对流天气对应的对流有效位能最低阈值分别为1000、1100和2000 J/kg;相应的0-6 km风垂直切变最低阈值分别为16、12和11 m/s,即特强雷暴大风型和特强短时强降水型的风垂直切变阈值明显增大.上述工作构成了山东中部伴随雷暴大风的强对流天气短时预报的一个基础,结合各类强对流天气发生的气候概率,可以通过决策树或模糊逻辑方法制作成适合于地、市气象台的分类强对流天气短时预报系统.%In this paper,106 strong convective cases accompanied with instantaneous winds at or exceeding the scale 8 in the central region of Shandong Province in 16 years are classified into three types:Thunderstorm,hail thunderstorm and mixed type of heavy rainfall.Using conventional sounding data and ground observation data,distributions of several key environmental parameters and thresholds corresponding to the three types are discussed respectively by the form of box and whisker plots.Furthermore,significantly severe convection cases among the 106 cases,including significant thunderstorm and strong wind cases with instantaneous wind speed exceeding 25 m/s,significant hail cases with the diameter of hails equal to or larger than 20 mm,and significant short-term heavy rainfall cases with the intensity about 50 mm/h or above,are extracted to form a subset.Distributions and forecast thresholds for significantly severe convection cases mentioned above are discussed and compared with the corresponding key environmental parameters for the total cases.Finally,the triggering mechanism for the strong convective system is briefly described and discussed.Results suggest that the minimum threshold of temperature difference between 850 and 500 hPa is 25°C for the development of thunderstorms,hail thunderstorms and mixed type of heavy rainfall,while their corresponding minimum thresholds of ground dew point temperature are 13,16 and 24°C,the atmospheric precipitation thresholds are 20,24 and 32 mm,the thresholds of CAPE are 300,900 and 1300 J/kg,thresholds of 0-6 km wind vector difference are 12,12.5 and 8 m/s,respectively.The distributions of ground dew point temperature,atmospheric precipitation and warm cloud thickness can be used to distinguish the above mentioned three types of strong convective weather,but it is difficult to distinguish thunderstorms and hail thunderstorms through the distributions of these key parameters.For the strong convective weather associated with hail,the appropriate melting layer height is 3.0-3.9 km.Compared with the three types of all strong convection cases,the conditional instability for significant thunderstorms,significant hail thunderstorms and significant mixed type of heavy rainfall significantly increases,which is reflected in the fact that the temperature difference between 850 and 500 hPa,the water vapor condition,and the CAPE all increase.Corresponding to the above mentioned three types,the minimum thresholds of CAPE are 1000,1100 and 2000 J/kg,and the 0-6 km wind vector shears are 16,12 and 11 m/s,respectively.The thresholds of vertical wind shear for significant thunderstorms and significant mixed type of heavy rainfall increase obviously.The above work forms a basis for the short-term forecast of strong convective weather.Combined with the climatological occurrence probability,a short-term forecasting system for classified strong convective weather can be established for regional meteorological stations by means of decision tree or fuzzy logic method.
    • 杨波; 郑永光; 蓝渝; 周康辉; 刘鑫华; 毛旭
    • 摘要: 国家级强对流天气预报业务正在从以短期预报为主调整到短期和短时预报并重的业务格局.文章从强对流天气预报技术发展与服务需求的角度,重点介绍了国家级强对流大气综合业务支撑平台及其核心技术.该平台以气象数据组织和图形化表达两个核心要求为牵引,发展了数据分析处理系统、自动气象绘图系统和WEB检索与显示系统.数据分析处理系统基于多源观测资料、中尺度数值预报和全球数值预报,发展了集约、高效的强对流天气监测和临近预报、短时预报和短期预报等数据分析处理技术,是整个平台的核心;主要核心技术包括:从不稳定与能量、水汽、抬升与垂直风切变等条件出发,以归纳总结的分类强对流天气概念模型为基础的分类强对流短期预报分析技术;应用“配料法”发展的分类分等级的强对流天气客观概率预报技术;强对流短时预报技术包括高分辨率数值预报释用、多模式预报集成、对流尺度分析、实况和模式探空分析等多项技术,重点实现了从过去3h实况到未来12h预报的无缝隙衔接;强对流的监测和临近预报技术在基于多源资料的强对流天气实况与强对流系统监测技术基础上,发展了基于雷达特征量、强对流实况、各类强对流指数和预警信号等多源信息的报警技术.自动气象绘图系统实现了高效、便捷地接人多种数据、自动进行数据分析和制图等多项功能.在预报服务方面,基于WebGIS发展了县级分类强对流预警信号和国家级分类强对流预警预报产品共享技术,实现强对流短时预报业务的高交互性与上下互通的功能.%The focus of national severe weather forecasting is transforming from short-range forecast to the pattern of the coexistence of short-range forecasts and short-time forecasts.For the requirements of severe weather forecast techniques and service,this paper presents the development of national severe weather integrated platform.Based on the core requirements of meteorological data organization and plotting,the development of data analysis system,meteorological auto-plot system and WEB search and display system are developed.The data analysis system,as the core of the whole platform,integrates various data,including muti-sourcc monitoring data and mcsoscale NWP model forecast and global NWP model forecast,and develops the data-processing technology for severe weather monitoring and nowcasting,short-range foreeast and short-time forecast.The key technology includes:starting from considering the unstable energy,water vapor,uplift,and vertical wind shear,the classified short-range analysis and prediction technology summarizes conceptual models for different types of severe weather.The severe weather tendency forecast part guided by the severe weather condition analysis,generates a classified severe weather forecasting model and products.The short-term forecast test part integrates the applications of mososcale NWP,ensemble prediction,meso-analyses and sounding analysis,and highlightes the seamless link between the observa tion in the past 3 h and the prediction of the future 12 h.Based on the existing convective system monitoring technologies,the auto-alarm products of radar features,severe weather events,convective indices and alarm signals are developed to improve the convective weather monitoring and nowcasting technology.Meteorological auto-plot system includes the functions of data analysis,automatically plotting,etc.In the term of service,the WebGis tech is applied to share the national products to the county-level weather stations and vice versa.
    • 胡丽川
    • 摘要: 强对流天气内部蕴藏着巨大的能量,它具有突发性、强度大、持续时间短的特点.强对流天气发生时,常伴随有强雷暴、大风(风切变)、下击暴流、冰雹、龙卷等恶劣天气现象,严重影响航空的飞行安全.本研发计划旨在研制和集成国内外先进的强流天气分析预报方法,设计并建设终端区对流天气监测分析预报系统,以提升终端区强对流天气预报能力,适应我国民航事业快速发展的紧迫需求.系统功能主要包括终端区对流天气临近预报,终端区对流天气短时预报,起降条件与航路预报,预报产品检验与评估.
    • 柯莉萍; 刘佳; 谢明; 张艳
    • 摘要: 该文利用威宁县1997-2014年冰雹资料,2004-2014年4-8月探空资料对威宁冰雹时空分布,冰雹预报指标进行统计分析,采用图表法、数理统计、多指标套叠法等进行研究.结果表明:①威宁冰雹降雹日数主要集中在5-8月,占年总冰雹日数的80%以上,降雹日时间主要在午后到傍晚;②威宁冰雹主要路径:4-5月西北路径冷空气南下的影响,冰雹主要出现在县的东南部、东部、南部一线,6-8月西南季风气流影响,冰雹主要出现在县的北部、西北部、中部、西南部等地;③通过利用探空资料适宜冰雹预报的环境参数阈值建立预报模型,该模型的建立对于进一步提高冰雹预报准确率有一定的指导意义.
    • 欧阳小娟; 付昭光
    • 摘要: 强对流天气来势猛、历史短、危害严重,而强对流天气短时预报是天气预报业务工作中的难点和重点。基于此,总结近些年强对流天气短时预报业务现状及面临的挑战,提出强对流天气短时预报业务的发展建议。
    • 吴亚丽; 陈德辉
    • 摘要: For the spin-up problem in initial integration of meso-scale numerical weather prediction model,espe-cially the time lags in the prediction of rain belt,latent heat nudging method is applied to assimilate the in-tensified automatic weather station (AWS)precipitation observations,so that it can effectively improve the performance of model in the very short-term forecasts.Based on GRAPES Meso model with high reso-lution developed by China Meteorological Administration,three groups of latent heat nudging experiments are designed for generating different initial conditions,including the control run,the traditional cold-latent heat nudging (C-LHN)assimilation and the revised warm-latent heat nudging (W-LHN)assimilation. The last one consists of W6-LHN and W12-LHN with 6 h and 12 h warm-start period before nudging,re-spectively. n Batch tests are carried out from 0000 UTC 20 June to 0000 UTC 20 July in 2013,preliminary conclu-sions can be drawn as follows.Firstly,initial temperature profiles are significantly modified due to the ad-justment of forecasted latent heat profiles,according to analyzed differences between observations and forecasts in the pre-forecast period.And initial distributions of specific humidity and wind vectors are mod-ified indirectly that convergence and divergence of water vapor increase at lower and middle levels.Thus the convective instability in the heavy rain area is strengthened.Secondly,compared with the control run without any initial precipitation information,the application of latent heat nudging method in GRAPES Meso model can reduce the spin-up time,precipitation is triggered quickly in the first 3 hours,which is im-portant for the very short-term forecast and nowcasting in particular.Therefore,the location and intensity are much closer to observations,and enhancing forecast skills of 3 h,6 h and 12 h accumulated precipitati-on such as TS,ETS and Bias scores.In addition,when comparing the warm and cold latent heat nudging methods,both of them has its advantages and disadvantages,performances differ with forecast length and precipitation magnitudes divided into light,moderate,heavy,hard and torrential rainfall,but 3 h,6 h and 12 h light and moderate precipitations are always better predicted by W-LHN.Finally,W6-LHN experi-ments achieve more favorable rainfall forecasts,but W12-LHN experiments tend to overestimate the heavy and torrential rain. n All in all,application of latent heat nudging method in assimilating the observed precipitation for very short-term forecast is operationally prospective,with advantages of lower cost but higher performance, thus it is easy to meet the operational demand for being available to public very soon.However,the impact on improving precipitation forecasts cannot last long because meso-and micro-scale characteristics fade a-way with the increasing forecast length.In the near future,it is expected that three dimensional variational analysis will be incorporated for an extended prediction.%基于国家气象中心 GRAPESMeso 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。
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