排序方式： 共有92条查询结果，搜索用时 15 毫秒
51.
采用多尺度时空投影(MSTP)预测思路建立广东月降水和季节降水预测方法。通过EOF分解、小波分析和Lanczos滤波方法进行周期分解, 采用MSTP方法进行预测。借鉴年际增量法, 对预报结果用最小二乘法进行误差订正, 得到降水预测结果。PS预测评分和均方根误差10年独立样本检验(2006—2015年)结果显示:订正后, PS预测评分起伏较小, 68.8%的月降水和季节降水PS预测评分明显提高的年份超过6年, 且有87.5%的月降水和季节降水PS预测平均分达到70以上; 在±0.5个标准差范围内, 订正后均方根误差在40%以上的概率分布明显高于订正前, 订正后的月和季节降水占81.3%, 订正前占31.3%;在±1个标准差范围内, 概率分布在70%以上的月季降水订正前后相差不多, 订正后占56.3%, 订正前占50%。 相似文献
52.
On May 20 th 2007, a brief but severe downpour rainstorm occurred in the coastal areas of Maoming and Yangjiang with rainfall of 115 mm per hour. Data from NCEP/NCAR reanalysis with 1°×1° resolution, Doppler weather radar, conventional surface observations, high-altitude radiosonde and wind profiler radar were used to analyze characteristics and contributions of synoptic scale and mesoscale systems during this torrential rainstorm. The results showed that:(1) the storm was caused by a quasi-linear mesoscale convective system(MCS) and the slow-movement of this system was the primary trigger of the torrential downpour;(2) water vapor was abundant, nearly saturated and in steady state throughout the atmosphere before the storm; intrusion of the weak dry and cold air in the middle level and a striking "dry above and wet below " structure had increased the atmospheric instability;(3) low-level southwesterly airflow from a low pressure(trough) at the Beibu Gulf provided abundant water vapor at the onset of the rainstorm; a deep dry layer was formed by dry and cold air behind the high-level trough, which facilitated latent heat release;upper-level divergence and low-level convergence circulations also provided vertical uplift for warm and moist air at the lower level;(4) Topography only played a minor role as the MCS developed and strengthened over relatively flat coastal terrain. Low level density flow induced by convection triggered new convective cell generation at the leading edge of the convective system, thereby playing a key role in the change of temperature gradient at lower layers, and resulting in strengthening atmospheric instability. 相似文献
53.
Weichen Tao Gang Huang Kaiming Hu Hainan Gong Guanhuan Wen Lin Liu 《Climate Dynamics》2016,46(1-2):205-226
Based on 15 Coupled Model Intercomparison Project (CMIP) phase 3 (CMIP3) and 32 CMIP phase 5 (CMIP5) models, a detailed diagnosis was carried out to understand what compose the biases in simulation of the Indian Ocean basin mode (IOBM) and its capacitor effect. Cloud-radiation-SST (CRS) feedback and wind-evaporation-SST (WES) feedback are the two major atmospheric processes for SST changes. Most CMIP models simulate a stronger CRS feedback and a weaker WES feedback. During boreal fall of the El Niño/Southern Oscillation developing year and the following spring, there are weak biases of suppressed rainfall anomalies over the Maritime Continent and anomalous anticyclone over South Indian Ocean. Most CMIP models simulate reasonable short wave radiation (SWR) and weaker latent heat flux (LHF) anomalies. This leads to a weak bias of atmospheric processes. During winter, however, the rainfall anomalies are stronger due to west bias, and the anomalous anticyclone is comparable to observations. As such, most models simulate stronger SWR and reasonable LHF anomalies, leading to a strong bias of atmospheric processes. The thermocline feedback is stronger in most models. Though there is a deep bias of climatology thermocline, most models capture reasonable sea surface height-induced SST anomalies. Therefore, the effect of oceanic processes offset the weak bias of atmospheric processes in spring, and the tropical Indian Ocean warming persists into summer. However, anomalous northwest Pacific (NWP) anticyclone is weaker due to weak and west bias of the capacitor effect. The unrealistic western Pacific SST anomalies in models favor the westward extension of Rossby wave from the Pacific, weakening the effect of Kelvin wave from the Indian Ocean. Moreover, the western Pacific warming forces the NWP anticyclone move farther north than observations, suggesting a major forcing from the Pacific. Compared to CMIP3, CMIP5 models simulate the feedbacks more realistically and display less diversity. Thus, the overall performance of CMIP5 models is better than that of CMIP3 models. 相似文献
54.
Observation from automatic weather stations, radars and TRMM satellites are employed
to investigate the precipitation distribution of tropical cyclone (TC) Koppu (0915) that made
landfall on Guangdong province in 2009. The results show that the precipitation of landfall TC
Koppu is featured by significant asymmetry and mesoscale structure, and occurs mainly to the
left of its moving path. By examining the sea surface temperature (SST), water vapor flux, Q
vector, vertical wind shear of environment etc., it is found out that the distribution of SST,
water vapor convergence, low-level convective ascending and vertical wind shear facilitates
the TC precipitation to take place to the left of the TC moving path. The mesoscale structure
separated by Barnes band-pass filter presents that the precipitation of landfall KOPPU has
some organized mesoscale spiral structures, which is around the TC center and composed of the
form of belts or blocks. The heavy local rainfall of landfall TC Koppu is primarily associated
with the rainfall due to mesoscale spiral structure. 相似文献
55.
A scheme of assimilating radar-retrieved water vapor is adopted to improve the quality of NWP initial field for improvement of the accuracy of short-range precipitation prediction. To reveal the impact of the assimilation of radar-retrieved water vapor on short-term precipitation forecast, three parallel experiments, cold start, hot start and hot start plus the assimilation of radar-retrieved water vapor, are designed to simulate the 31 days of May, 2013 with a fine numerical model for South China. Furthermore, a case of heavy rain that occurred from 8—9 May 2013 over the region from the southwest of Guangdong province to Pearl River Delta is analyzed in detail. Results show that the cold start experiment is not conducive to precipitation 12 hours ahead; the hot start experiment is able to reproduce well the first 6 hours of precipitation, but badly for subsequent prediction; the experiment of assimilating radar-retrieved water vapor is not only able to simulate well the precipitation 6 hours ahead, but also able to correctly predict the evolution of rain bands from 6 to 12 hours in advance. 相似文献
56.
Yu-Kun Qian Shiqiu Peng Shun Liu Shumin Chen Ziqian Wang Qilin Wan Zitong Chen 《Natural Hazards》2018,94(1):279-298
Observations by Doppler weather radar are crucial for nowcasting and short-time forecasting of severe weather events as they bring in refined information of the atmosphere. However, due to the inevitable noises and non-meteorological signals, they cannot be assimilated straightforwardly into a numerical model. In the present study, assimilation of the radial component of wind velocity observed by two Doppler radars is performed in the numerical simulation of Supertyphoon Rammasun (2014) just before its landfall. After several quality-control steps, the radar-observed radial velocities are de-aliased, noise-reduced and assimilated into the model to improve initial conditions for the high-resolution simulation. Results show that only when using global background error covariance matrix can the observational increment be properly assimilated into the model, correcting large-scale background steering flow and yielding a simulated track close to the observed one. However, little improvement is found in simulating the TC core-scale structures by the assimilation of radar velocity as compared to the radar-observed flow, primarily due to the insufficient spatial resolution of the model that may lead to the incorrect representation of the TC core structure and the rejection of some core-region observations during the data assimilation procedure. Moreover, assimilation-induced asymmetries consume a certain portion of mean kinetic energy, preventing the simulated Rammasun from axisymmetrization and thus intensification as compared with the non-assimilated experiment. 相似文献
57.
广东6月持续性暴雨期间的大气环流异常 总被引：1，自引：0，他引：1
利用1979—2011年共33年广东86个观测站日降水和全球大气多要素日平均资料,分析广东前汛期降水异常(包括暴雨和无雨)的环流特征。结果表明,广东6月持续性暴雨和持续性无雨期间大气存在显著的经向遥相关波列,其中,持续性暴雨过程波列更完整,非持续性暴雨(或非持续性无雨)则波列不显著,而4、5月的持续性暴雨或持续性无雨过程都没有波列出现。在经向波列存在的情况下,对流层中高层大气西风带环流经向度增大、槽脊发展增强,中高纬度这种持续稳定的环流形势,有利于冷空气和高空槽影响华南;在高层200 hPa,华南处于偏西风和西南风异常之间的气流辐散区域,有利于高层辐散;对流层中低层西太平洋副热带高压偏强、西脊点偏西,华南上升、南海下沉的垂直异常经圈环流建立;同时对流层低层来源于印度和孟加拉湾北部以及热带太平洋的水汽输送明显加强,从而为持续性暴雨过程提供有利的环流背景以及暴雨区所需的动力和水汽条件,可见经向波列通过对流层高、中、低层大气环流异常影响持续性暴雨。在没有经向波列的情况下,当500 hPa华南地区有西风槽活动、850 hPa南海北部西风偏强,广东局地动力上升条件和水汽输送条件达到一定程度,则只能出现非持续性暴雨。因此,经向波列可为区分持续暴雨与非持续暴雨预报提供参考。与广东降水持续异常相关的经向波列受中高纬度罗斯贝波、热带对流以及中低纬度太平洋地区大气异常等多方面的共同影响。 相似文献
58.
“龙舟水”期间的极端降水,常以近似平行的多条雨带出现,过量的降水会造成流域的或大范围的洪涝灾害。分解大气中的基本变量为瞬变气候与瞬时扰动两个部分,用后者揭示龙舟水期间强降水的区域分布特征。2020年6月5—9日出现在广东省中部和北部地区的多条近似平行的雨带和闪电高密度带只是华南和江南区域降水过程中的一个片段。分析结果表明:控制这片区域雨带活动的是南北两侧缓慢东移的扰动反气旋环流系统。在黄海扰动反气旋环流的南边缘和南海扰动反气旋环流的北边缘各形成了一条扰动风切变线与湿涡度扰动线对应,在它们之间形成了一个扰动低压气流区和其中的多个湿涡度扰动条带,决定了其中条状雨带的走向。分解欧洲中期天气预报中心(ECMWF)模式产品可以提前1~5天获得指示两个扰动反气旋环流系统和扰动低压气流区中湿涡度扰动分布的信息。 相似文献
59.
近二十年来暴雨和强对流可预报性研究进展 总被引：1，自引：0，他引：1
大气可预报性研究是开展天气、气候预测的基础科学问题。全球变暖背景下,近年暴雨和强对流等中小尺度灾害性天气频发,如何深入认识其可预报性问题成为了天气领域研究热点,也是制约数值天气预报模式能力提升的重要因素。本文在简要回顾国内外大气可预报性研究历程的基础上,重点对近二十年（1999～2018）国际上关于暴雨和强对流可预报性方面的最新研究进展进行了系统的综述和归纳。主要包括:中小尺度可预报性研究的主要方法和评估手段及其与传统大尺度天气可预报性研究的差异,初始误差增长机制的几种主要观点及其争论（误差升尺度、误差降尺度、升降尺度并存）,数值模式误差和对流环境误差对实际预报性的影响,以及最近的中尺度可预报性科学观测试验进展等。最后,对暴雨、强对流可预报性研究存在的问题、未来发展方向进行了简要的讨论和展望。 相似文献
60.
华南前汛期暖区暴雨研究新进展 总被引：1，自引：1，他引：0
华南前汛期暖区暴雨一直是困扰科研和业务的重要难题。在1970s末第一次华南暴雨综合试验中,老一辈科学家提出了华南前汛期暖区暴雨的概念,并揭示了诸多对华南暴雨研究有重要意义的成果。近年来,随着现代气象探测手段、高性能计算能力的提升以及中尺度暴雨科学观测试验的开展,对华南前汛期暖区暴雨的研究取得了不少新的认识。本文重点梳理了近10 a有关华南前汛期暖区暴雨方面的最新研究进展,从暖区暴雨的定义及分类、多尺度天气特征、形成机制及可预报性研究等4个方面进行系统性论述。最后,对华南前汛期暖区暴雨研究存在的问题、未来发展方向进行了简要的讨论和展望。 相似文献