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1.
大气模式中季节内振荡特征对不同海温强迫场的响应   总被引:2,自引:0,他引:2  
利用美国国家大气研究中心 (NCAR)的全球大气模式 (CCM3) ,分别以月平均和周平均海表温度 (SST)为强迫场进行 2个积分试验 (称为 CCMM和 CCMW试验 )。积分结果与观测资料的对比分析发现 ,CCM3模拟大气季节内振荡 (MJO)信号的强度均较观测资料偏弱 ,而其中以CCMW模拟的强度略大而较接近真实。表明 SST强迫场包含更真实的季节内变化信息对提高模拟 MJO强度有作用。 CCMM与 CCMW模拟 MJO活动的时间位相均与观测差别较大 ,直接原因在于 CCM3中降水季节内振荡与 SST变化的相关关系不正确 ,而更根本的问题在于大气模式无法反映资料分析发现的季节内时间尺度的 SST与大气的相互作用。  相似文献   

2.
基于向外长波辐射、降水、大气再分析资料和 HYCOM(HYbridCoordinateOcean Model)盐度等资料,研究了 MJO(Madden-JulianOscillation,热带大气季节内振荡)对南海夏季降水的调制,并初步探讨了其对海洋表层盐度的影响。结果显示:MJO 对南海夏季降水有显著的调制作用,导致南海降水具有强的季节内变化,其最显著周期为45d。降水季节内信号在泰国湾北部、吕宋岛以西和台湾岛西南等迎风坡区域较强,而在越南外海的安南山脉背风区域较弱,且降水信号会随着 MJO 信号向东北方向移动。MJO 对流抑制(活跃)中心所在区域,低层大气辐聚减弱(增强),中层大气对流减弱(增强),导致降水减少(增加);此外,MJO 对流抑制(活跃)中心伴随的反气旋式(气旋式)环流会改变风场,风场减弱(增强)使得迎风区域的降水减少(增加)。MJO 引起的降水异常进一步影 响南海盐度,南海表层盐度也有明显的季节内变化特征,其显著周期和降水基本一致,为47d,且盐度异常信号也随降水异常向东北移动。本研究结果有助于进一步了解南海降水和表层盐度的季节内变化特征。  相似文献   

3.
基于向外长波辐射、降水、大气再分析资料和 HYCOM(HYbridCoordinateOcean Model)盐度等资料,研究了 MJO(Madden-JulianOscillation,热带大气季节内振荡)对南海夏季降水的调制,并初步探讨了其对海洋表层盐度的影响。结果显示:MJO 对南海夏季降水有显著的调制作用,导致南海降水具有强的季节内变化,其最显著周期为45d。降水季节内信号在泰国湾北部、吕宋岛以西和台湾岛西南等迎风坡区域较强,而在越南外海的安南山脉背风区域较弱,且降水信号会随着 MJO 信号向东北方向移动。MJO 对流抑制(活跃)中心所在区域,低层大气辐聚减弱(增强),中层大气对流减弱(增强),导致降水减少(增加);此外,MJO 对流抑制(活跃)中心伴随的反气旋式(气旋式)环流会改变风场,风场减弱(增强)使得迎风区域的降水减少(增加)。MJO 引起的降水异常进一步影 响南海盐度,南海表层盐度也有明显的季节内变化特征,其显著周期和降水基本一致,为47d,且盐度异常信号也随降水异常向东北移动。本研究结果有助于进一步了解南海降水和表层盐度的季节内变化特征。  相似文献   

4.
利用ERA_interim再分析资料以及OISST高分辨率海面温度(Sea surface temperature,SST)卫星观测数据,通过小波分析、二维模态相关(Pattern correlation)等方法系统地分析了黑潮延伸体区域涡旋尺度SST信号的季节内变化特征。发现涡旋尺度SST季节内变化信号在冬季最强、夏季最弱。该信号主要分布在黑潮-亲潮海洋锋面区域,在日本沿岸振幅最强、并沿黑潮、亲潮锋面向东延伸,其标准差高达1℃,是该海域冬季SST的重要变化信号。涡旋尺度SST的季节内变化周期以40~100 d周期为主,会引起大气边界层的响应,激发海气界面湍流热通量、海面气温、边界层高度等同位相的季节内变化。在该区域涡旋信号较强个数较多的时间段SST异常的季节内变化信号更明显,边界层大气与涡旋尺度SST季节内变化信号的相关程度更大。  相似文献   

5.
通过分析1951—2010年海表面温度(SST)数据发现,南海SST在1980年前后发生了显著的气候变异:与1980年以前相比,南海SST在1980年后平均升高0.44℃,升温幅度明显强于西北太平洋。利用同一时期风应力数据分析探讨了南海SST气候变异与南海风应力变化的关系,发现1980年后南海风应力平均较1980年前减弱了1.04×10-2 N/m2,风应力的显著减弱是导致SST跃升的主要原因。进一步通过数据分析,研究了SST气候变异对南海大尺度环流和南海局地台风活动的影响。结果表明,受SST显著增暖的影响,1980年后南海台风多发季节大气环流发生北风和西风异常,台风高频区东退,强度显著增强,登陆中国华南地区前的气压平均较1980年前下降约8.4hPa,对华南地区的影响加剧。  相似文献   

6.
利用CCMP的风场、NOAA地表日均太阳辐射通量等资料,研究了MJO与风场和海表温度日变化的关系。结果表明:MJO不同位相时,风场及海表温度日变化有明显不同。当夏季MJO处于发展位相(位相1—4)时,赤道印度洋经向风场的日变化偏弱;而西太平洋经向风场的日变化偏强;当MJO处于成熟位相(位相5—8)时,赤道印度洋和西太平洋的经向风场日变化与发展位相时相反。MJO对于海表温度场日变化的调制,冬季比夏季表现得更加明显。同时使用Dynamo的实测资料证明了在经验公式中赤道地区驱动海温日增暖的主要因子是风场的变化,辐射场对其影响远不如风场的变化。  相似文献   

7.
在夏季,南海西部的越南沿岸上升流系统(Vietnam boundary upwelling system, VBUS)时常出现高浮游植物生物量。其中由马登-朱利安振荡(Madden-Julian oscillation, MJO)主导的季节内尺度(30~60d)变率占到重要作用,但MJO对海表叶绿素的调控效应及机制尚不清楚。本研究采用重建的遥感叶绿素数据与多源观测资料,探究MJO事件中VBUS叶绿素季节内变化特征及成因。复合分析结果显示,在MJO事件末期,该海域叶绿素浓度达到季节内最高值,海表温度(seasurface temperature,SST)、地转流纬向分量与Ekman泵吸及风场与该海域叶绿素浓度相位模态高度对应,且与叶绿素相位序列相关性按该顺序递减。进一步将VBUS分成近岸和离岸两个子区域,通过广义加性模型分析叶绿素浓度的主导调控因子。结果显示VBUS海域沿岸与离岸区域叶绿素浓度影响因子及其强度并不相同, SST同为两个区域最强影响因子,沿岸区域次要影响因子为地转流纬向分量及Ekman泵吸,离岸次要影响因子为地转流纬向分量,且其影响强度与SST平分秋色。通过进一步分析该调控...  相似文献   

8.
利用SODA资料对索马里流系区域海表温度(SST)的年际变化及其影响原因进行了研究。结果表明,春、秋季和冬季的索马里流系区SST呈现全区一致型的变化,但是夏季除了有全区一致型的变化外,还存在南北反位相的变化。夏季海温的这2种变化类型与ENSO、印度洋偶极子及印度季风存在密切关系。通过合成分析发现,在夏季全区一致型时,6月份热带西南印度洋、索马里沿岸的风应力旋度和大小与阿拉伯海均呈现相反的变化特点,夏季索马里流系区域海温变化主要受上升流和蒸发共同影响;在南北反位相型时,5月份的风应力变化信号最明显,且显著区域的位置和大小与全区一致型时的6月份不完全对应;夏季索马里流系南区SST异常可以利用上升流和蒸发异常进行解释,但北区的SST异常并非如此,其它因素应该起主导作用。  相似文献   

9.
北太平洋经向翻转环流(NPMOC)是北太平洋所有经向翻转环流圈的总称。其中,热带环流圈(TC)、副热带环流圈(STC)和深层热带环流圈(DTC)位于北太平洋热带-副热带海域,是该海域经向物质和能量交换的重要通道。基于NEMO模式分别对TC、STC和DTC经向流量的季节变化特征和机理进行了模拟研究,驱动场增强和减弱情况下的敏感性试验表明,风应力是TC和STC南、北向输送以及DTC南向输送季节变化的主要影响因素,而热通量和淡水通量的影响较小;风应力和热盐通量季节变化情况下的敏感性试验表明,TC和STC的南、北向输送以及DTC的南向输送主要是由风应力的季节振荡引起的,而热通量和淡水通量的影响较小。  相似文献   

10.
根据1973年至2016年黄海沿岸风、平均海平面气压与气温观测资料,采用旋转经验正交函数(REOF)、调和分析和延迟相关分析等方法,研究了黄海月平均风应力、风速、平均海平面气压、气温场季节与年际变化时空模态.月平均风应力、风速场主要有4种时空模态,风应力模态空间分量分布与风速模态不完全相同,风应力、风速模态季节周期分量多数为不稳定,风应力、风速场强度年际变化显著线性减弱,对黄海环流以及物理、化学要素场季节与年际变化有显著影响.月平均气压、气温场季节循环与年际变化主要有2种时空模态,气压、气温模态季节周期分量的位相均为准稳定季节变化;振幅为不稳定季节变化.气压模态为准平衡态年际变化,大尺度气压系统季节与年际变化是黄海气压场模态的主要影响因素.气温模态为显著线性升温趋势年际变化,海气、陆气热交换作用对黄海气温场模态季节与年际变化有显著影响.  相似文献   

11.
SST年循环对El Niño事件局地海气过程的影响   总被引:2,自引:0,他引:2  
利用Hadley中心逐月海表温度、欧洲中心ERA-40的10 m风场及CMAP降水资料探讨了年循环对热带太平洋El Niño海气相互作用过程的影响。尽管El Niño对应的海表温度异常主要出现在赤道东太平洋,经向上呈南北对称分布,然而其对应的大气响应在El Niño年衰减阶段却有着强的向南移动特征。在El Niño发展年的11月之前,强的西风和降水异常主要出现在赤道中太平洋;在12月份之后,赤道上的西风和降水异常迅速南移至5°S,随后西风一直维持在该位置直至衰亡。同时,西太平洋负降水和反气旋异常向北移动。这种SST异常与其大气响应的经向移动不一致,主要是由热带中太平洋气候态SST的季节性南移导致的。由于对流与海温之间存在非线性关系,即当总SST超过一定的阈值,对流降水才会迅速增强;因此相应的对流响应也随着总海温的南移而南移,风场响应也同时南移。此外,南半球增强的对流会通过经向环流进一步抑制北半球的降水,从而使西太平洋负降水和反气旋异常增强并北移。通过分析有/无年循环的两组数值试验结果验证了上述结论,即有年循环的试验较真实地模拟出了观测中异常西风南移和西北太平洋反气旋异常的出现;无年循环试验尽管能模拟出El Niño年赤道中太平洋的西风异常,但其却没有南北向的移动,西北太平洋的反气旋也没有出现。因此,热带中太平洋气候态暖海温的季节循环对El Niño事件大气响应有着至关重要的作用。  相似文献   

12.
基于Himawari-8卫星的逐时次海表温度融合   总被引:1,自引:0,他引:1       下载免费PDF全文
Himawari-8卫星是日本气象厅发射的新一代地球同步静止气象卫星,为获取逐时次海表温度产品提供了有力数据支持。本文以Himawari-8 AHI海表温度为基础,利用最优插值法融合GCOM-W1 AMSR2海表温度和NERA-GOOS现场观测资料,生成逐时次海表温度融合产品。为了充分利用邻近时刻的海表温度观测资料,利用Himawari-8 AHI海表温度和欧洲中期天气预报中心海面风速数据建立匹配数据集,研究建立海表温度日变化模型,实现邻近时刻海表温度的订正;为了消除多源海表温度间的系统偏差,以Himawari-8 AHI海表温度为目标数据,利用泊松方程对GCOM-W1 AMSR2海表温度进行偏差订正。实验验证结果表明,利用逐时次海表温度融合产品计算的日增温情况与海面风速具有较好的相关性,间接证实了逐时次海表温度融合产品的准确性;另外,逐时次海表温度融合产品与现场观测海表温度的偏差为0.09℃、均方根误差为0.89℃,二者具有较好的一致性,说明逐时次海表温度融合产品具有较高的精度。  相似文献   

13.
An empirical method has been developed for estimation of sea surface temperature (SST) at dawn and noon in local time from microwave observations at other times of the day. By using solar radiation, microwave sea surface wind, and SSTs, root-mean-square differences were reduced to approximately 0.75 and 0.8 °C for dawn and noon, respectively. The pseudo SST variation and spatial patterns found in daily mean SST values by simple averaging of samples were damped down by use of diurnal correction. The satellite SST with the diurnal correction shows highly significant coherent variation with in-situ measurements.  相似文献   

14.
The importance of the diurnal variability of sea surface temperature (SST) on air-sea interaction is now being increasingly recognized. This review synthesizes knowledge of the diurnal SST variation, mainly paying attention to its impact on the atmosphere or the ocean. Diurnal SST warming becomes evident when the surface wind is weak and insolation is strong. Recent observations using satellite data and advanced instruments have revealed that a large diurnal SST rise occurs over wide areas in a specific season, and in an extreme case the diurnal amplitude of SST exceeds 5 K. The large diurnal SST rise can lead to an increase in net surface heat flux from the ocean of 50–60 Wm−2 in the daytime. The temporal mean of the increase exceeds 10 Wm−2, which will be non-negligible for the atmosphere. A few numerical experiments have indicated that the diurnal SST variation can modify atmospheric properties over the Pacific warm pool or a coastal sea, but the processes underlying the modification have not yet been investigated in detail. Furthermore, it has been shown that the diurnal change of ocean mixing process near the surface must be considered correctly in order to reproduce SST variations on an intraseasonal scale in a numerical model. The variation of mixed-layer properties on the daily scale is nonlinearly related to the intraseasonal variability. The mixed-layer deepening/shoaling process on the daily scale will also be related to biological and material circulation processes.  相似文献   

15.
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   

16.
Hourly sea surface temperature(SST) observations from the geostationary satellite are increasingly used in studies of the diurnal warming of the surface oceans. The aim of this study is to derive the spatial and temporal distribution of diurnal warming in the China seas and northwestern Pacific Ocean from Multi-functional Transport Satellite(MTSAT) SST. The MTSAT SST is validated against drifting buoy measurements firstly. It shows mean biases is about –0.2°C and standard deviation is about 0.6°C comparable to other satellite SST accuracy. The results show that the tropics, mid-latitudes controlled by subtropical high and marginal seas are frequently affected by large diurnal warming. The Kuroshio and its extension regions are smaller compared with the surrounding regions. A clear seasonal signal, peaking at spring and summer can be seen from the long time series of diurnal warming in the domain in average. It may due to large insolation and low wind speed in spring and summer, while the winter being the opposite. Surface wind speed modulates the amplitude of the diurnal cycle by influencing the surface heat flux and by determining the momentum flux. For the shallow marginal seas, such as the East China Sea, turbidity would be another important factor promoting diurnal warming. It suggests the need for the diurnal variation to be considered in SST measurement, air-sea flux estimation and multiple sensors SST blending.  相似文献   

17.
In this study, we used the National Centers for Environmental Prediction monthly sea surface temperature (SST) and surface air temperature (SAT) data during 1982–1994 and the National Center for Atmospheric Research surface wind stress curl data during 1982–1989 to investigate the Japan Sea SST temporal and spatial variabilities and their relations to atmospheric forcing. First, we found an asymmetry in the correlation coefficients between SST and wind stress curl, which implies that the SST variability at the scales of the order of one month is largely due to atmospheric forcing. Second, we performed three analyses on the data fields: annual mean, composite analysis to obtain the monthly anomaly relative to the annual mean, and empirical orthogonal function (EOF) analysis on the residue data relative to the summation of the annual mean and the monthly anomaly. The first EOF mode of SST accounts for 59.9% of the variance and represents the Subpolar Front. The temporal variation of the first EOF mode implies that the deep Japan Sea could be cooler in cold seasons (November–April) of 1984–1987. Third, we computed cross-correlation coefficients among various principal components and found that the atmospheric warming/cooling is the key factor causing intra-seasonal and interannual SST variabilities.  相似文献   

18.
HY-2 satellite is the first satellite for dynamic environmental parameters measurement of China,which was launched on 16th August 2011.A scanning microwave radiometer(RM) is carried for sea surface temperature(SST),sea surface wind speed,columnar water vapor and columnar cloud liquid water detection.In this paper,the initial SST product of RM was validated with in-situ data of National Data of Buoy Center(NDBC) mooring and Argo buoy.The validation results indicate the accuracy of RM SST is better than 1.7 C.The comparison of RM SST and WindSat SST shows the former is warmer than the latter at high sea surface wind speed and the difference between these SSTs is depend on the sea surface wind speed.Then,the relationship between the errors of RM SST and sea surface wind speed was analyzed using NDBC mooring measurements.Based on the results of assessment and errors analysis,the suggestions of taking account of the affection of sea surface wind speed and using sea surface wind speed and direction derived from the microwave scatteromter aboard on HY-2 for SST product calibration were given for retrieval algorithm improvement.  相似文献   

19.
In the winter Kuroshio Extension region, the atmospheric response to oceanic eddies is studied using reanalysis and satellite data. The detected eddies in this region are mostly under the force of northwesterly wind, with the sea surface temperature (SST) anomaly located within the eddy. By examining the patterns of surface wind divergence, three types of atmospheric response are identified. The first type, which occupies 60%, is characterized by significant sea surface wind convergence and divergence at the edge and a vertical secondary circulation (SC) aloft, supporting the “vertical momentum mixing mechanism”. The SCs on anticyclonic eddies (AEs) can reach up to 300 hPa, but those on cyclonic eddies (CEs) are limited to 700 hPa. This can be explained by analyzing vertical eddy heat transport: When northwesterly wind passes the warmer center of an AE, it is from the cold to warm sea surface, resulting in stronger evaporation and convection, triggering stronger upward velocity and moist static heat flux. For the cases of CEs, the wind blows from warm to cold, which means less instability and less evaporation, resulting in weaker SCs. The second type, which occupies 10%, is characterized by divergence and a sea level pressure anomaly in the center, supported by the “pressure adjustment mechanism”. The other 30% are mostly weak eddies, and the atmospheric variation aloft is unrelated to the SST anomaly. Our work provides evidence for the different atmospheric responses over oceanic eddies and explains why SCs over AEs are much stronger than those over CEs by vertical heat flux analysis.  相似文献   

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