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51.
南海夏季风爆发的数值预报试验   总被引:2,自引:1,他引:1  
分析了1986年南海夏季风爆发的环流演变特征,由经向风速剖面图看出,南风首先在中南半岛迅速加强,然后向南海发展,南海夏季风爆发同孟加拉湾低压的发展密切相关。通过地形和非绝热单因子敏感性数值预报试验表明,地形作用和凝结潜热等非绝热作用对南海夏季风的爆发都是很重要的,包含有这两种作用在内的控制试验成功地预报出了南海夏季风爆发的中期演变过程,单独的地形作用或非绝热作用都不能预报出南海夏季风的爆发。  相似文献   
52.
The sea ice conditions in the Kara Sea have important impacts on Arctic shipping, oil and gas production, and marine environmental changes. In this study, sea ice coverage (CR) less than 30% is considered as open water, its onset and end dates are defined as Topen and Tclose, respectively. The sea ice melt onset (Tmelt) is defined as the date when ice-sea freshwater flux initially changes from ice into the ocean. Satellite-based sea ice concentration (SIC) from 1989 to 2019 shows a negative correlation between Topen and Tclose (r = –0.77, p < 0.01) in the Kara Sea. This phenomenon is also obtained through analyzing the hindcast simulation from 1994 to 2015 by a coupled ocean and sea-ice model (NAPA1/4). The model results reveal that thermodynamics dominate the sea ice variations, and ice basal melt is greater than the ice surface melt. Heat budget estimation suggests that the heat flux is significant correlated with Topen (r = –0.95, p < 0.01) during the melt period (the duration of multi-year averaged Tmelt to Topen) influenced by the sea ice conditions. Additionally, this heat flux is also suggested to dominate the interannual variation of the heat input during the whole heat absorption process (r = 0.81, p < 0.01). The more heat input during this process leads to later Tclose (r = 0.77, p < 0.01). This is the physical basis of the negative correlation between Topen and Tclose. Therefore, the duration of open water can be predicted by Topen and thence support earlier planning of marine activities.  相似文献   
53.
利用1961—2017年北疆37个地面气象站逐日最低气温观测资料,结合常规气象统计方法,分析北疆地区初、终霜日和霜期的时空演变特征。结果表明:(1)北疆平均初霜日以2.2 d·(10a)-1速率推迟;平均终霜日以1.7 d·(10a)-1速率提前;平均霜期以3.9 d·(10a)-1速率缩短;初、终霜日和霜期的主周期均为2 a左右。(2)北疆霜期缩短趋势较大(小)的地区,能较好的对应其初霜日推迟、终霜日提前较强(弱),伊犁州、塔城地区北部及东天山东北部霜期的缩短趋势最为显著,博州至天山北坡一线居中,阿勒泰地区霜期的缩短趋势最弱。(3)北疆大部分地区初霜日的变化趋势与海拔高度有很好的相关性,其初霜日的推迟速度随海拔高度的增加而减小,垂直递减率为-0.077 d·(a·km)-1;秋季气候变暖是初霜日推迟的主要原因,春、秋季气候变暖同时影响霜期缩短,且秋季的影响更大。  相似文献   
54.
RegCM4.3, a high-resolution regional climate model, which includes five kinds of aerosols(dust, sea salt,sulfate, black carbon and organic carbon), is employed to simulate the East Asian summer monsoon(EASM) from 1995 to 2010 and the simulation data are used to study the possible impact of natural and anthropogenic aerosols on EASM.The results show that the regional climate model can well simulate the EASM and the spatial and temporal distribution of aerosols. The EASM index is reduced by about 5% by the natural and anthropogenic aerosols and the monsoon onset time is also delayed by about a pentad except for Southeast China. The aerosols heat the middle atmosphere through absorbing solar radiation and the air column expands in Southeast China and its offshore areas. As a result, the geopotential height decreases and a cyclonic circulation anomaly is generated in the lower atmosphere. Northerly wind located in the west of cyclonic circulation weakens the low-level southerly wind in the EASM region. Negative surface radiative forcing due to aerosols causes downward motion and an indirect meridional circulation is formed with the low-level northerly wind and high-level southerly wind anomaly in the north of 25° N in the monsoon area, which weakens the vertical circulation of EASM. The summer precipitation of the monsoon region is significantly reduced,especially in North and Southwest China where the value of moisture flux divergence increases.  相似文献   
55.
An automatic weather station(AWS) has been installed at the Qomolangma Station of the China Academy of Sciences(QOMS) since 2005, in a northern Himalayan valley near Mount Everest, with an altitude of 4,270 m a.s.l.. Nine years of meteorological records(2006–2014) from the automatic weather station(AWS) were analyzed in this study, aiming to understand the response of local weather to the seasonal transition on the northern slopes of Mount Everest, with consideration of the movement of the subtropical jet(STJ) and the onset of the Indian Summer Monsoon(ISM). We found:(1) Both the synoptic circulation and the orography have a profound influence on the local weather, especially the local circulation.(2) Southwesterly(SW) and southeasterly(SE) winds prevail alternately at QOMS in the afternoon through the year. The SW wind was driven by the STJ during the non-monsoon months, while the SE was induced by the trans-Himalayan flow through the Arun Valley, a major valley to the east of Mount Everest, under a background of weak westerly winds aloft.(3) The response of air temperature(T) and specific humidity(q) to the monsoon onset is not as marked as that of the nearsurface winds. The q increases gradually and reaches a maximum in July when the rainy period begins.(4) The alternation between the SW wind at QOMS and the afternoon SE wind in the pre-monsoon season signals the northward shift of the STJ and imminent monsoon onset. The average interval between these two events is 14 days.  相似文献   
56.
利用中国气象局2014年发布的《梅雨监测业务规定》中的入梅日期资料、NCEP/NCAR再分析资料及NOAA海温资料等,重点研究了1951—2015年江南入梅早、晚的气候特征,及其与同期(5—6月)大气环流及前期海表温度变化的关系。结果表明,近65年来江南入梅日具有显著的年际变化特征,入梅平均日期为6月8日,最早和最晚相差47 d。入梅日主要出现在6月,占80.0%。江南入梅偏早和偏晚年,对流层高层至低层的同期大尺度环流存在明显的差异。入梅偏早年,高层南亚高压和东亚副热带西风急流(西风急流)的建立较早,强度较强,南亚高压北移到青藏高原上空亦偏早,西风急流北跳偏早; 中层中高纬度经向环流较强,而西北太平洋副热带高压(副高)第1次北跳偏早; 低层索马里越赤道气流建立较早,强度较强,西太平洋为反气旋式距平环流; 入梅偏晚年上述环流系统演变特征则基本相反。冬、春季海表温度的异常是影响入梅早、晚的重要的外部强迫因子,也是重要的前期预测信号:当冬季东太平洋海表温度为负距平、澳大利亚东部海表温度偶极子为正位相及春季北大西洋三极子处于正位相时,江南入梅偏早; 上一年12月澳大利亚东侧海表温度偶极子和当年3月北大西洋三极子与江南入梅早、晚关系最为密切,当12月澳大利亚东部海表温度偶极子为正位相时,副高第1次北跳偏早,当3月北大西洋三极子为正位相时,6月西风急流偏强、偏北,有利于江南入梅偏早。   相似文献   
57.
ABSTRACT

Previous studies have shown that the recent summer climate (precipitation in particular) over East Asia is varying significantly. Here we extend the study to April, May, and June (AMJ) or the seasonal transition period associated with the onset of the summer monsoon. It is found that the average 1000–400?hPa AMJ tropospheric temperature (TT) experienced a sudden change at the end of the twentieth century. The change has a dipolar modal structure, with one pole over countries in Central Asia (Pakistan, Afghanistan, Uzbekistan, Kazakhstan, Kyrgyzstan, and Tajikistan.) and the other over the Tibetan Plateau. The difference in the TT between the centres of the two poles (?TT), which characterizes the zonal gradient of the TT over Asia, has seen a significant reduction since 1999. The causal relations of ?TT with the local circulation, outgoing longwave radiation (OLR), surface shortwave flux (SSWF), precipitation, etc. have been investigated using a newly developed rigorous causality analysis, which unambiguously reveals a one-way causality from ?TT to each of OLR, SSWF, and precipitation.  相似文献   
58.
2016年我国梅雨异常特征及成因分析   总被引:1,自引:0,他引:1  
赵俊虎  陈丽娟  王东阡 《大气科学》2018,42(5):1055-1066
利用国家气候中心梅雨监测资料和NCEP再分析资料,对2016年我国梅雨异常特征及其大尺度环流成因进行了分析。结果表明:(1)2016年我国梅雨有明显的区域特征,其中江南区入梅偏早14天,与1995年并列成为1951年以来入梅最早的年份,出梅偏晚11天,梅雨期(量)偏长(多),但梅雨期日平均降水量偏少;长江区入梅和出梅均偏晚,梅雨期接近常年,但梅雨量偏多一倍以上,梅雨量和梅雨期日平均降水量分别为1951年以来历史同期第三和第二高值;江淮区入梅、出梅及梅雨期接近常年,但梅雨量偏多。(2)对流层高、中、低层环流系统冬夏季节性调整和转变显著提前的共同作用,导致了2016年江南区入梅显著偏早;东亚副热带西风急流、西太平洋副热带高压(副高)和东亚夏季风涌在7月中旬阶段性地南落导致了江南区和长江区出梅偏晚。(3)受到前冬超强厄尔尼诺衰减和春、夏季热带印度洋全区一致海温模态偏暖的影响,梅雨期副高异常偏强,副高西南侧转向的水汽输送异常偏强,并在长江区和江淮区与北方弱冷空气辐合,造成梅雨量异常偏多。  相似文献   
59.
贵阳木本植物始花期对温度变化的敏感度   总被引:1,自引:0,他引:1  
植物物候期的温度敏感度反映了植物是怎样及在何种程度上响应气候变化,研究不同物种物候期的温度敏感度有利于鉴别易受气候变化影响的物种。现有关于始花期的温度敏感度研究主要集中在温带地区,在亚热带地区研究仍较少。本文以位于亚热带的贵阳为研究区,利用1980-2014年60种典型木本植物的始花期观测资料,分析了该地区植物始花期变化趋势及对气温变化的敏感度,评估了样本量大小对敏感度估计稳定性的影响。结果表明:①研究时段内贵阳发生了明显的气候变化,年平均气温显著升高,其中春、秋季的增温比夏、冬季显著。②绝大多数植物(88.3%)的始花期在研究时段内呈提前趋势,其中显著提前的占物种总数的21.7%(P<0.05);60种植物始花期总体的提前趋势为2.89 d/10 a。③绝大多数(88.3%)植物始花期的年际变化与最优时段内平均气温呈显著负相关(P<0.05),所有植物始花期的总体敏感度为-5.75 d/℃。④样本量大小对温度敏感度估计的稳定性有显著影响,15年长序列能将敏感度估计结果的波动范围以99%的概率控制在2 d/℃之内。  相似文献   
60.
深度神经网络拾取地震P和S波到时   总被引:8,自引:0,他引:8       下载免费PDF全文
从地震波形数据中快速准确地提取各个震相的到时是地震学中的基础问题.本文针对上述问题提出了利用深度神经网络拾取到时的新方法,建立了用于地震到时提取的17层Inception深度网络模型,在对原始三分量数据进行高通滤波和归一化处理后输入网络直接输出到时信息.整个过程基于神经网络自适应提取波形特征,自动输出结果.通过对100组加了不同强度的噪声数据进行了可靠性检验,相比于其他方法神经网络方法对于噪声具有较高的容忍度以及稳定性,并且与地震目录数据有较高的相似性.相比于AR-AIC+STA/LTA,深度神经网络虽然运算速度稍慢,但整个过程不需设定时窗与阈值,同时具有更高的可用性,并且可以迭代升级以提高精度.此方法作为人工智能方法,为波形到时拾取提供了新思路.  相似文献   
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