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1.
本文根据近３０ａ来青岛和烟台逐月气温及滨海水温资料，分析了青岛和烟台海，气温差的时间变化，发现秋，冬季节南岸青岛海，气温差大于北岸烟台，春，夏季则相反，通常当年平均或季平均气温为负距平时，年平均或冬季平均海，气温差为正距平，而夏季平均海，气温差为负距平，对于ＥｌＮｉｎｏ及反ＥｌＮｉｎｏ年结论与之相反。 相似文献
2.
用TOPEX/Poseidon资料研究南海潮汐和海面高度季节变化 总被引：8，自引：0，他引：8
采用引入差比关系法对南海TOPEX/Poseidon卫星高度计算资料进行了潮汐分析；根据所得潮汐调和常数对卫星高度计测得的海面高度进行潮汐订证，进而得到南海各季节的海面高度距平。结果表明，南海冬、夏季季风强盛期海面高度距平位相相反，南海中部夏季为正距平，且有2个正距平中心；冬季为负距平，且有2个负距平中心。春、秋季是不同的季风过渡期，海面高度距平分布也明显不同：南海中部春季为正距平，且只有1个正距平中心；秋季为负距平，且只有1个负距平中心。研究表明，长周期分潮Sa和Saa的叠加值可以很好地逼近南海海面高度距平。根据平均海面和海面高度距平得到了合成的海面高度和地转流场，发现南海表层地转流总体上是气旋式的；秋、冬季表层环流的西向强化十分明显，春、夏季较弱；冬季黑潮通过吕宋海峡进入南海北部，夏季基本上没有进入南海。 相似文献
3.
通过分析福建省出现秋台年与无秋台年夏季几个物理因子的变化，得出如下结论：（1）有秋台年夏季东亚500hPa高度距平场呈现“－＋－”的分布特征。，无秋台年东亚500hPa高度距平场呈“＋－＋”的分布。（2）有秋台年夏季副热带高压较活跃，北进南退的步伐较大，而无秋台年只在秋季的回跳速度快。（3）拉尼娜事件开始年份可能会出现秋台风，同时有秋台年夏、秋季海温距平分布是赤道中、东太平洋为负的海温距平、西、北太平洋为正温海距平，无秋台年份海温的分布形态与此刚好相反。 相似文献
4.
ElNino事件与广东各区域夏季旱涝的关系 总被引：3，自引：0，他引：3
应用广东境内分布较均匀的２０个测站的降水资料，分析了ＥｌＮｉｎｏ事件与广东各区域夏季（本文指５－８月，下同）降水的关系，以及赤道东太平洋海温，南海海温的变化对广东夏季降水的影响，并探讨了ＥｌＮｉｎｏ事件与广东各区域历史旱涝的关系，结果表明，把广东看为一个整体，ＥｌＮｉｎｏ事件当年，西北部旱，西南部偏涝，在ＥｌＮｉｎｏ事件次年，西北部偏涝，西南部偏旱，而东北部及中部在ＥｌＮｉｎｏ事件当年和次雨量均偏 相似文献
5.
白令海峡夏季流量的年际变化及其成因 总被引：1，自引：1，他引：0
白令海峡是连接太平洋和北冰洋的唯一通道,穿过海峡的海水体积通量在年际尺度上的变化主要取决于海峡南北两侧的海面高度差,白令海峡的入流对北冰洋海洋过程有重要的意义。利用SODA资料计算夏季白令海峡海水体积通量,对其年际变化及成因进行分析。结果表明夏季白令海峡的体积通量主要是正压地转的;当体积通量为正距平时,楚科奇海、东西伯利亚海、拉普捷夫海以及波弗特海南部海面高度为负距平,同时,白令海陆架海面高度为正距平;对这些海域的Ekman运动、上层海洋温度、盐度和垂直流速进行分析,发现海面高度异常与海峡体积通量的这种关系主要是与海面气压异常分布所产生的Ekman运动有关。当白令海峡的体积通量为正距平时,北冰洋中央海面气压为正距平,白令海海盆海面气压为负距平。这种气压的异常分布在一定程度上解释了上层海洋运动、海水温盐结构与白令海峡入流的关系,从而把夏季大尺度大气环流和白令海峡体积通量的年际变化联系了起来。 相似文献
6.
利用1951—2013年山东122个气象观测站资料,分析山东冬季气温演变特征以及异常冷暖年相对应的大气环流异常。结果表明:山东冬季气温的年代际变化特征明显,冬季变暖的时间是从20世纪80年代中期开始,突变年为1986年;冬季异常冷暖年,乌拉尔山高压脊存在明显差异;在500 h Pa高度距平场上欧亚大陆呈反位相分布,异常冷年极强负距平中心位于贝加尔湖附近,山东处于负距平区底部;异常暖年,正距平中心位于巴尔喀什湖附近,山东处于正距平中。另据分析,冬季拉尼娜事件发生,和山东冬季气温偏冷有较好的关联性;并发现冬季气温与前期7月Nino3区海温正相关最好。 相似文献
7.
通过分析福建省出现秋台年与无秋台年夏季几个物理因子的变化，得出如下结论(1)有秋台年夏季东亚500hPa高度距平场呈现“－＋－”的分布特征，无秋台年东亚500hPa高度距平场呈“＋－＋”的分布.(2)有秋台年夏季副热带高压较活跃，北进南退的步伐较大，而无秋台年只在秋季的回跳速度快.(3)拉尼娜事件开始年份可能会出现秋台风，同时有秋台年夏、秋季海温距平分布是赤道中、东太平洋为负的海温距平，西、北太平洋为正海温距平，无秋台年份海温的分布形态与此刚好相反． 相似文献
8.
利用1982年1月至2001年12月逐日的Re_NCEP南海海表面潜热通量资料,分析了南海夏季西南季风爆发早年和晚年潜热通量在南海的时空分布特征;并通过相关对比诊断分析了潜热通量对西南季风爆发及强度的影响,初步给出了其动力学机理。结果表明,季风爆发早、晚年的前一年冬季至初春(12~3月),南海南部(5°~13°N,100°~120°E)和北部(13°~22°N,105°~120°E)的潜热通量距平符号相反,呈现反位相,季风爆发早(晚)年,前一年冬季至次年初春,南海北部的潜热通量为正(负)距平,南海南部则为负(正)距平;在季风爆发的早年和晚年,南海潜热通量表现出明显的差异,春、夏、秋季南海潜热通量正距平持续时间短(长),季风强度偏弱(强)。南海北部的潜热通量和南海北部季风强度隔季正相关。当潜热通量为正(负)距平时,同期和滞后1~3个月的海温均为负(正)异常,加大(减小)了春季南海和周围陆地陆暖海冷的海陆温差,有利于西南季风在南海北部的早(晚)爆发,西南风异常偏强(弱)。 相似文献
9.
气温的天气和气候记忆性特征分析对于提高气候预测水平具有积极意义。利用济南和青岛1961—2020 年逐日、月和年平均气温资料,运用自相关性函数和标准化频率分布分析了上述时间序列的气温记忆性特征和概率分布特征,并利用结构函数法建立了月、年平均气温距平与日平均气温距平之间的分数阶导数关系。结果表明:(1)济南和青岛的月、年平均气温距平呈现不同程度的记忆性特征,其中年平均气温距平相比于月平均气温距平具有更好的记忆性。(2)济南和青岛的月、年平均气温距平与日平均气温距平之间存在分数阶导数关系,济南和青岛相应的月、年尺度阶数分别为0. 529、0. 665 和0. 553、0. 791,两地的月尺度阶数相近,但青岛略大,青岛的年尺度阶数大于济南,即青岛月和年平均气温距平的记忆性大于济南。(3)济南和青岛的月和年平均气温距平相比于日平均气温距平有不同程度的长尾特征,长尾特征反映了极值温度发生的概率。 相似文献
10.
气候异常引起的黄海冷水团及渤海冰情变异的若干例证 总被引：3，自引：0，他引：3
一、冷年和暖年的确定怎样来确定“冷年”和“暖年”或“冷冬”和“暖冬”呢?首先,从三十年代我国气温等级的多年变化(表1)看出:就我国全国范围来讲,1934年12月—1935年3月,气温等级均在3级以下,气温偏暖(1938年12月—1939年3月也属偏暖,但不如前者);相反,1935年12月—1936年3月,气温偏冷,连续几个月的气温等级皆在3级以上。其次,从大连——成山角断面(此断面割切北黄海冷水团)历年水温距平统计(表2)得知:1935年1—7月,该断面的水温皆为正距平;但1936年则不同,从1935年12月开始,至翌年10月,整个断面的水温系负距平或以负距平为主。第三,从渤海及黄海北部 相似文献
11.
南海沿海季节性海平面异常变化特征及成因分析 总被引：1，自引：1，他引：0
Based on sea level, air temperature, sea surface temperature(SST), air pressure and wind data during 1980–2014,this paper uses Morlet wavelet transform, Estuarine Coastal Ocean Model(ECOM) and so on to investigate the characteristics and possible causes of seasonal sea level anomalies along the South China Sea(SCS) coast. The research results show that:(1) Seasonal sea level anomalies often occur from January to February and from June to October. The frequency of sea level anomalies is the most in August, showing a growing trend in recent years. In addition, the occurring frequency of negative sea level anomaly accounts for 50% of the total abnormal number.(2) The seasonal sea level anomalies are closely related to ENSO events. The negative anomalies always occurred during the El Ni?o events, while the positive anomalies occurred during the La Ni?a(late El Ni?o) events. In addition, the seasonal sea level oscillation periods of 4–7 a associated with ENSO are the strongest in winter, with the amplitude over 2 cm.(3) Abnormal wind is an important factor to affect the seasonal sea level anomalies in the coastal region of the SCS. Wind-driven sea level height(SSH) is basically consistent with the seasonal sea level anomalies. Moreover, the influence of the tropical cyclone in the coastal region of the SCS is concentrated in summer and autumn, contributing to the seasonal sea level anomalies.(4) Seasonal variations of sea level, SST and air temperature are basically consistent along the coast of the SCS, but the seasonal sea level anomalies have no much correlation with the SST and air temperature. 相似文献
12.
东海沿海季节性海平面异常成因 总被引：1，自引：0，他引：1
Based on the analysis of sea level, air temperature, sea surface temperature(SST), air pressure and wind data during 1980–2013, the causes of seasonal sea level anomalies in the coastal region of the East China Sea(ECS) are investigated. The research results show:(1) sea level along the coastal region of the ECS takes on strong seasonal variation. The annual range is 30–45 cm, larger in the north than in the south. From north to south, the phase of sea level changes from 140° to 231°, with a difference of nearly 3 months.(2) Monthly mean sea level(MSL)anomalies often occur from August to next February along the coast region of the ECS. The number of sea level anomalies is at most from January to February and from August to October, showing a growing trend in recent years.(3) Anomalous wind field is an important factor to affect the sea level variation in the coastal region of the ECS. Monthly MSL anomaly is closely related to wind field anomaly and air pressure field anomaly. Wind-driven current is essentially consistent with sea surface height. In August 2012, the sea surface heights at the coastal stations driven by wind field have contributed 50%–80% of MSL anomalies.(4) The annual variations for sea level,SST and air temperature along the coastal region of the ECS are mainly caused by solar radiation with a period of12 months. But the correlation coefficients of sea level anomalies with SST anomalies and air temperature anomalies are all less than 0.1.(5) Seasonal sea level variations contain the long-term trends and all kinds of periodic changes. Sea level oscillations vary in different seasons in the coastal region of the ECS. In winter and spring, the oscillation of 4–7 a related to El Ni?o is stronger and its amplitude exceeds 2 cm. In summer and autumn, the oscillations of 2–3 a and quasi 9 a are most significant, and their amplitudes also exceed 2 cm. The height of sea level is lifted up when the different oscillations superposed. On the other hand, the height of sea level is fallen down. 相似文献
13.
Multitime scale variations of sea surface temperature in the China seas based on the HadISST dataset 总被引：6，自引：3，他引：3
The variability of the sea surface temperature(SST) in the China seas has been studied in seasonal,interannual and interdecadal scales based on the monthly data of HadISST spanning from 1870 to 2007. The main results obtained are SST in the China offshore changes most actively at the seasonal scale with the intensity diminishing from north to south,as the temperature differences between summer and winter reaching 17 and 4 C in the northern and southern areas,respectively. Moreover,seasonal variation near the coastal regions seems relatively stronger than that far from the coastline;significant interannual variations are detected,with the largest positive anomaly occurring in 1998 in the overall area. But as far as different domains are concerned,there exists great diversity,and the difference is also found between winter and summer. Differed from the seasonal variations,where the strongest interannual variability takes place,resides to the south of that of the seasonal ones in the northern section,nevertheless in the South China Sea,the most significant interannual variability is found in the deep basin;interdecadal changes of summer,winter and annual mean SST in different domains likewise present various features. In addition,a common dominant warming in recent 20 a are found in the overall China offshore with the strongest center located in the vicinity of the Changjiang Estuary in the East China Sea,which intensifies as high as 1.3 C during the past 130 a. 相似文献
14.
Variations of monsoon wind field in the sea area along the southeastern coast of China during the ENSO events and its influence on the sea level and sea surface temperature (SST) are explored mainly on the basis of the data of monthly mean wind at 850 hPa and five coastal stations during 1973-1987. The results from the analyses of the data and theoretical estimation show that the southwest wind anomalies appeared in the study area during the events, and northeast wind anomalies occurred in general before the events. With the coastline of the area being parallel basically to the direction of the wind, an Ekman transport will result in an accumulation of the water near the coast or a departure of the water from the coast. As a result , the sea level and SST there will be affected markedly. During the events, southwest wind will intensify in the summer, and northeast wind will weaken in the winter. Their total effect is that a large negative anomaly of the sea level and SST will occur. The estimations indi 相似文献
15.
Sea surface temperature(SST) measurements from 26 coastal hydrological stations of China during 1960–2015 were homogenized and analyzed in this study. The homogenous surface air temperature(SAT) series from meteorological stations which were highly correlated to SST series was used to construct the reference series.Monthly mean SST series were then derived and subjected to a statistical homogeneity test, called penalized maximal t test. Homogenized monthly mean SST series were obtained by adjusting all significant change points which were supported by historic metadata information. Results show that the majority of break points are caused by instrument change and station relocation, which accounts for about 61.3% and 24.2% of the total break points,respectively. The regionally averaged annual homogeneous SST series from the 26 stations shows a warming trend(0.19°C per decade). This result is consistent with that based on the homogenized annual mean SAT at the same region(0.22°C per decade), while the regionally averaged mean original SST series from the same stations shows a much weaker warming of 0.09°C per decade for 1960–2015. This finding suggests that the effects of artificial change points on the result of trend analysis are remarkable, and the warming rate from original SST observations since 1960 may be underestimated. Thus a high quality homogenized observation is crucial for robust detection and assessment of regional climate change. Furthermore, the trends of the seasonal mean homogenized SST were also analyzed. This work confirmed that there was an asymmetric seasonal temperature trends in the Chinese coastal water in the past decades, with the largest warming rate occurring in winter. At last,the significant warming in winter and its relationships to the variability of three large-scale atmospheric modes were investigated. 相似文献
16.
This study investigated the seasonal variation in the atmospheric response to oceanic mesoscale eddies in the North Pacific Subtropical Countercurrent (STCC) and its mechanism, based on satellite altimetric and reanalysis datasets. Although mesoscale eddy in the study area is more active in summer, the sea surface temperature (SST) anomaly associated with mesoscale eddies is more intense and dipolar in winter, which is largely due to the larger background SST gradient. Similarly, the impact of the oceanic eddy on sea surface wind speed and heat flux is strongest in winter, whereas its effect on precipitation rate is more significant in summer. The study revealed that the SST gradient in STCC could impact the atmosphere layer by up to 800 hPa (900 hPa) in boreal winter (summer) through the dominant vertical mixing mechanism. Moreover, the intensity of the SST gradient causes such seasonal variation in mesoscale air-sea coupling in the study region. In brief, a stronger (weaker) background SST gradient field in wintertime (summertime) leads to a larger (smaller) eddy-induced SST anomaly, thus differently impacting atmosphere instability and transitional kinetic energy flux over oceanic eddies, leading to seasonal variation in mesoscale air-sea coupling intensity. 相似文献
17.
北极冬季季节性海冰双模态特征分析 总被引：1，自引：1，他引：0
近年来北极海冰快速变化,北极中央区边缘正由以多年冰为主转为季节性海冰为主。通过对北极冬季季节性海冰的EOF分解发现,2002-2012年期间北极季节性海冰变化的前两模态主要体现为2005年和2007年的季节性海冰距平。其中第二模态主要体现了北极海冰在2005年的一种极端变化,而第一模态不仅体现了北极海冰在2007年的变化,还体现了北极季节性海冰的从负位相到正位相的转变。通过比较发现,在研究时段北极季节性海冰最主要的变化发生在北极太平洋扇区,在2007年,冬季季节性海冰距平发生位相转变,2007-2010年一直维持正位相,北极太平洋扇区冬季季节性海冰保持显著正距平。太平洋扇区表面温度最大异常也发生在2007年,从大气环流来看,2007年之后波弗特海区异常高压有利于夏季太平洋扇区海冰的减少,而西风急流的减弱有利于夏季波弗特海区异常高压的维持,结合夏季海冰速度,顺时针的冰速分布有利于海冰离开太平洋扇区,因而会导致冬季太平洋扇区季节性海冰转为正距平并且从2007年一直维持到2010年。 相似文献
18.
The long-term variability of sea surface temperature in the seas east of China in the past 40 a 总被引：2，自引：0，他引：2
The global surface temperature change since the mid-19th century has caused general concern and intensive study. However, long-term changes in the marginal seas, including the seas east of China, are not well understood because long-term observations are sparse and, even when they exist, they are over limited areas. Preliminary results on the long-term variability of sea surface temperature (SST) in summer and winter in the seas east of China during the period of 1957-2001 are reported using the Ocean Science Database of Institute of Oceanology, Chinese Academy of Sciences, the coastal hydrological station in situ and satellite data. The results show well-defined warming trends in the study area. However warming and cooling trends vary from decade to decade, with steady and rapid warming trends after the 1980s and complicated spatial patterns. The distribution of SST variation is intricate and more blurred in the areas far away from the Kuroshio system. Both historical and satellite data sets show significant warming trends after 1985. The warming trends are larger and spread to wider areas in winter than in summer, which means decrease in the seasonal cycle of SST probably linked with recently observed increase of the tropical zooplankton species in the region. Spatial structures of the SST trends are roughly consistent with the circulation pattern especially in winter when the meridional SST gradients are larger, suggesting that a horizontal advection may play an important role in the long-term SST variability in winter. 相似文献
19.
Relation between sea surface temperature anomaly in the Atlantic and summer precipitation over the Northeast China 总被引：1，自引：0，他引：1
1 IwrRoDUcrIowln recen l00 years. mateorolQgi8ts have paid mu0h aneation to impact of ocean onlong-range weather process. Because fram view POillt of space and tAne scale condition,ocean is one of very important phySical factor for the evolotion of thespheric circulation.The scientific research cooperation grOup (l979) first found that SST in the equatorialeastern Pacific reversely correlates with summer tempendre aver Nowheast China. Pan etal (1981) discussed re1atfon between heating of… 相似文献
20.
本文使用基于热成风速度的涡旋识别拓展方法,通过海表面温度数据对黑潮延伸体区域50-100公里涡旋进行研究,发现50-100公里涡旋主要分布在黑潮延伸体流轴两侧,气旋涡和反气旋涡的寿命、半径分布具有一致性。气旋涡多出现在35°N以北,反气旋涡在35°N以南比较集中,与尺度较小的中尺度涡旋分布特征较为相似。冬夏两季涡旋地理分布存在一定差异,主要与不同季节该区域海表温度梯度及风应力旋度的变化有关。35°N以南50-100公里涡旋数量的季节性变化与风速大小的季节性变化存在明显的正相关性。35°N以南50-100公里涡旋三倍半径内风速异常和风应力旋度归一化表明,气旋涡对应风速负异常而反气旋涡对应风速正异常,反气旋涡的产生依赖于风应力负旋度,气旋涡的生成与风应力正旋度有关。 相似文献