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The future changes in the relationship between the South Asian summer monsoon (SASM) and the East Asian summer monsoon (EASM) are investigated by using the high-emissions Shared Socioeconomic Pathway 5-8.5 (SSP5- 8.5) experiments from 26 coupled models that participated in the phase 6 of the Coupled Model Intercomparison Project (CMIP6). Six models, selected based on their best performance in simulating the upper- and lower-level pathways related to the SASM-EASM teleconnection in the historical run, can capture the positive relationship between the SASM and the rainfall over northern China. In the future scenario, the upper-level teleconnection wave pattern connecting the SASM and the EASM exhibits a significant weakening trend, due to the rainfall anomalies decrease over the northern Indian Peninsula in the future. At the lower level, the western North Pacific anticyclone is projected to strengthen in the warming climate. The positive (negative) rainfall anomalies associated with positive (negative) SASM rainfall anomalies are anticipated to extend southward from northern China to the Yangtze-Huai River valley, the Korea Peninsula, and southern Japan. The connection in the lower-level pathway may be strengthened in the future. 相似文献
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通过对加速鲁棒性算法特征关键点提取和匹配的研究,提出一种改进的车头加速鲁棒性特征点提取方法,该方法在车头图像像素梯度变化较大的范围内提取关键点,然后采用最近邻比例算法进行特征点匹配。实验结果表明,提出的改进方法不仅能够筛选出鲁棒性较强的关键点,同时提高了特征的提取速度和匹配效率,在总时间上比尺度不变特征变换算法提高了3~6倍;比加速鲁棒性算法提高了近1/4。 相似文献
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该文定义了一个能较好反映南亚高压南北偏移的指数,并发现该指数与我国夏季降水,尤其是华北和长江流域的降水,无论在年际变化上还是长期趋势上都具有十分显著的相关关系。南亚高压位置偏北时,在我国东部至日本上空存在一个显著的异常反气旋,其中心自上而下向南倾斜,在高层给华北地区带来辐散,在低层使得气流在长江流域辐散,在华北地区辐合,造成华北地区降水偏多,长江流域降水偏少。同时,南亚高压偏北对应着高层西风急流以及中层西太平洋副热带高压偏北,使得我国整个雨带偏北。此外,通过与海温的相关分析发现,南亚高压的长期偏南趋势可能受到印度洋增暖的直接影响。南北偏移指数可作为预测我国夏季区域降水的重要指标,在气候预测业务中有一定的应用价值。 相似文献
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There is a continuous and relatively stable rainy period every spring in southern China (SC). This spring precipitation process is a unique weather and climate phenomenon in East Asia. Previously, the variation characteristics and associated mechanisms of this precipitation process have been mostly discussed from the perspective of seasonal mean. Based on the observed and reanalysis datasets from 1982 to 2021, this study investigates the diversity of the interannual variations of monthly precipitation in spring in SC, and focuses on the potential influence of the tropical sea surface temperature (SST) anomalies. The results show that the interannual variations of monthly precipitation in spring in SC have significant differences, and the correlations between each two months are very weak. All the interannual variations of precipitation in three months are related to a similar western North Pacific anomalous anticyclone (WNPAC), and the southwesterlies at the western flank of WNPAC bring abundant water vapor for the precipitation in SC. However, the WNPAC is influenced by tropical SST anomalies in different regions each month. The interannual variation of precipitation in March in SC is mainly influenced by the signal of El Ni?o-Southern Oscillation, and the associated SST anomalies in the equatorial central-eastern Pacific regulate the WNPAC through the Pacific-East Asia (PEA) tele-connection. In contrast, the WNPAC associated with the interannual variation of precipitation in April can be affected by the SST anomalies in the northwestern equatorial Pacific through a thermally induced Rossby wave response. The interannual variation of precipitation in May is regulated by the SST anomalies around the western Maritime Continent, which stimulates the development of low-level anomalous anticyclones over the South China Sea and east of the Philippine Sea by driving anomalous meridional vertical circulation. 相似文献
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In this study, we assess the prediction for May rainfall over southern China (SC) by using the NCEP CFSv2 outputs. Results show that the CFSv2 is able to depict the climatology of May rainfall and associated circulations. However, the model has a poor skill in predicting interannual variation due to its poor performance in capturing related anomalous circulations. In observation, the above-normal SC rainfall is associated with two anomalous anticyclones over the western tropical Pacific and northeastern China, respectively, with a low-pressure convergence in between. In the CFSv2, however, the anomalous circulations exhibit the patterns in response to the El Ni?o-Southern Oscillation (ENSO), demonstrating that the model overestimates the relationship between May SC rainfall and the ENSO. Because of the onset of the South China Sea monsoon, the atmospheric circulation in May over SC is more complex, so the prediction for May SC rainfall is more challenging. In this study, we establish a dynamic-statistical forecast model for May SC rainfall based on the relationship between the interannual variation of rainfall and large-scale ocean-atmosphere variables in the CFSv2. The sea surface temperature anomalies (SSTAs) in the northeastern Pacific and the central-eastern equatorial Pacific, and the 500-hPa geopotential height anomalies over western Siberia in previous April, which exert great influence on the SC rainfall in May, are chosen as predictors. Furthermore, multiple linear regression is employed between the predictors obtained from the CFSv2 and observed May SC rainfall. Both cross validation and independent test show that the hybrid model significantly improve the model''s skill in predicting the interannual variation of May SC rainfall by two months in advance. 相似文献
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特征提取是说话人识别系统中非常重要的一部分,是否能提取有效的特征决定了系统的识别效果。MFCC是目前主流的特征提取方法之一,能够在噪音环境下保持良好的鲁棒性。在MFCC的基础上提出一种改进的特征提取方法,该方法主要构造了一种MFCC与翻转梅尔频率倒谱系数(IMFCC)相结合的混合特征参数。实验结果表明,新特征参数在相同的环境下比传统的MFCC特征参数的识别率高。 相似文献
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视频相似度计算在视频管理、分类、检索等多个领域中具有重要的作用。目前视频相似度计算研究主要基于视频的底层特征,这就造成机器理解与人类思维间的语义鸿沟问题。为了缩小语义鸿沟问题,对当前的视频语义分析处理流程及其关键技术进行分析,采用多模式融合和多层次分析技术为主,手工标注为辅的方法提取视频的语义信息,然后在这些语义信息基础上建立视频故事单元语义表征模型,最后通过视频的语义表征模型来计算两段视频的语义相似度。针对不同类型视频的实验结果表明,提出的视频语义表征模型能够有效的表示视频的语义信息,相似度算法能够较准确的衡量两段故事单元视频间的相似度,缩小了语义鸿沟。 相似文献
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基于显著区域提取技术,对复杂的视频镜头中动静结合显著图的提取技术进行了改进,提出由动态模型和静态模型两个特征要素作为线索提取动静结合的提取方法。方法对复杂运动镜头下运动特征的选择敏感度较高,实验验证表明,提出的动态模型和静态模型以自适应权重增减的融合方式得到的动静结合显著图与以往相比,精准度较高,也更接近于人类视觉机制的选择。 相似文献
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利用欧洲中期天气预报中心的ERA5再分析资料,分析中高纬度大尺度环流异常对2022年盛夏长江中下游地区大范围极端高温事件的影响。结果表明,此次极端高温异常主要受到东亚副热带异常反气旋和北部异常气旋的影响。该经向偶极型环流异常与北大西洋涛动(North Atlantic Oscillation,NAO)和英国-鄂霍次克海走廊型遥相关型(British-Okhotsk Corridor,BOC)密切相关。NAO正位相关联的副热带急流波列有利于副热带反气旋的形成。同时,正位相的BOC与丝绸之路遥相关耦合,有利于经向偶极型环流模态的形成。在该环流模态的影响下,对流层高层的南亚高压和西风急流明显增强且东伸,中低层西太平洋副热带高压增强西伸。异常高压控制下的下沉气流以及西风急流出口区右侧的下沉气流通过绝热下沉增温与晴空短波辐射增温,促进地表气温升高,进而引发极端高温异常。 相似文献
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基于显著区域提取技术,对复杂的视频镜头中动静结合显著图的提取技术进行了改进,提出由动态模型和静态模型两个特征要素作为线索提取动静结合的提取方法.方法对复杂运动镜头下运动特征的选择敏感度较高,实验验证表明,提出的动态模型和静态模型以自适应权重增减的融合方式得到的动静结合显著图与以往相比,精准度较高,也更接近于人类视觉机制的选择. 相似文献
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