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1.
热带海表温度(SST)模拟偏差是困扰海气耦合模式发展的经典问题之一,其原因仍不完全清晰。针对海气耦合模式CESM1(Community Earth System Model version 1)模拟的热带印度洋SST偏差,我设计了单独大气-陆面模式、单独海洋-海冰模式以及海气耦合模式等一系列数值实验。在此基础上,采用大气-陆面模式和海洋-海冰模式隐式(implicit)SST偏差的分析方法,诊断了CESM1模拟的热带印度洋SST偏差的来源,并分析了大气模式和海洋模式中影响热带印度洋上层海温模拟的主要因素。通过分析热带印度洋不同地区SST的模拟偏差来源,发现耦合模式CESM1中孟加拉湾SST模拟偏冷主要是由海洋-海冰模式中过强的垂直混合、平流作用等海洋动力偏差引起的。在阿拉伯海和赤道西印度洋,过多的潜热释放导致SST降低,大气-陆面模式模拟误差是这两个海域SST冷偏差的主要来源。对于赤道中印度洋,潜热通量偏差和垂直混合、平流作用等模拟误差共同影响上层海水温度,潜热释放偏少、海水垂直混合偏弱以及经向平流向南输送过多暖水使耦合模式模拟的赤道中印度洋SST出现暖偏差,而在赤道东印度洋,模拟的SST偏冷是由大气-陆面模式中短波辐射偏少和海洋-海冰模式中海水垂直混合过强引起的,潜热通量偏差影响较小。分析表明,耦合模式中海气相互作用只影响SST模拟偏差的大小,但不是引起SST偏差的根本原因。  相似文献   

2.
通过海气耦合模式CCSM3(The Community Climate System Model version 3),研究在北大西洋高纬度淡水强迫下,北太平洋冬季的海表温度SST、风场及流场的响应及其区域性差异。结果表明:淡水的注入使北太平洋整体变冷,但有部分区域异常增暖;在太平洋东部赤道两侧,SST的变化出现北负南正的偶极子型分布。阿留申低压北移的同时中纬度西风减弱,热带附近东北信风增强。黑潮和南赤道流减弱,北太平洋副热带逆流和北赤道流增强,日本海被南向流控制。风场及流场的改变共同导致了北太平洋SST异常出现复杂的空间差异:北太平洋中高纬度SST的降温主要由大气过程决定,海洋动力过程主要影响黑潮、日本海及副热带逆流区域的SST,太平洋热带地区SST异常由大气与海洋共同主导。  相似文献   

3.
分析了1979—2018年两类厄尔尼诺事件期间月平均热带太平洋海面温度(sea surface temperature,SST)异常、对流降水异常、大气环流异常等特征,发现东部型、中部型厄尔尼诺期间海洋及大气加热场并不是赤道对称,赤道以南热源强度大于赤道以北。大气对热源的响应表现在:1)低层在大气热源西侧出现南、北半球热带相对应的气旋环流异常,但是赤道以南气旋的涡度大于赤道以北,且两类厄尔尼诺事件期间涡度中心的位置不同;到高层赤道中东太平洋呈现赤道对称的反气旋环流控制。2)低层热源的西侧出现西风异常,东侧为东风异常,西风异常的强度与范围明显大于东风异常,且东部型西风异常的强度大于中部型;而到高层,纬向风的风向和低层正好相反。3)低层东部型、中部型厄尔尼诺上升运动异常分别位于赤道中东太平洋和赤道中太平洋,下沉运动出现在热源东西两侧及赤道两侧5°N以北、5°S以南的热带地区;东部型到中层上升运动异常强度达到最大,而中部型到高层上升运动异常强度达到最大。4)低层东部型、中部型厄尔尼诺期间位势高度在中东太平洋为负异常,西太平洋为正异常;到高层,整个赤道中东太平洋地区均为位势高度正异常,并且在赤道两侧分别出现位势高度正异常中心,与反气旋环流涡度中心及下沉运动异常中心相对应。5)除西风异常范围大于东风异常,其他特征与赤道非对称热源GILL响应的理论计算模态基本一致。  相似文献   

4.
利用M IT gcm模式和最优插值法搭建的同化平台对热带太平洋赤道附近的海表温度SST数据进行了数值同化处理。结果表明,同化处理有效兼顾了模式模拟值和观测值,纠正了模式模拟值出现的误差,数值同化结果更接近于观测值。该同化平台能够更好地反映出SST的分布特征,该同化方法可以有效地对海表数据进行数值预报。  相似文献   

5.
IPCC AR4模式对热带气旋热力控制因子的模拟评估   总被引:1,自引:1,他引:0  
海平面温度是影响热带气旋活动重要的大尺度环境热力控制因子,根据1948-1999年热带地区(30°S-30°N)海平面温度(SST)的气候场、线性趋势、年代际变化与年际变化的空间结构特征,分别就24个IPCC AR4模式的模拟性能进行评估.结果表明,虽然24个IPCC AR4模式对SST气候场的模拟性能都比较好,但大部...  相似文献   

6.
热带太平洋、大西洋和热带印度洋是全球海洋-大气相互作用最显著的海域。为了探讨热带三大洋局地海洋-大气相互作用中的某些特征,利用新的卫星遥感资料对热带三大洋的云水和海表温度(SST)异常变化进行了统计相关分析。研究发现:在赤道太平洋和赤道大西洋云水和SST二者在超前或滞后5周内都呈现明显的正相关关系,表明3个赤道海域云水和SST之间具有明显的相互作用正反馈机制;在热带西印度洋SST异常超前CLW异常一周时,正相关系数最大,SST的变化导致云水的变化;而在以较冷海水为下垫面的赤道外东北太平洋,东南太平洋以及赤道外的南大西洋海域,二者呈明显的负相关关系,云水的变化会引起SST的变化。位于菲律宾以东的热带西北太平洋区,云水量的变化引起SST的变化;而赤道东印度洋暖池区即存在云水量的增加(减少)引起SST降低(升高)的现象,也存在SST降低(升高)引起云水量的减少(增加)的现象。以上结果将为进一步理解海洋-大气相互作用,在数值模式中正确设计海洋-大气边界层参数化方案提供参考。  相似文献   

7.
根据2种海气通量数据集(COADS、ECMWF)和2种海气通量块体参数化方案(常数块体参数化方案和非常数块体参数化方案)的不同结合,构成4组数值实验,使用HYCOM数值模式分别模拟了赤道及北太平洋的气候态海表温度。实验结果表明:(1)非常数块体参数化方案优于常数块体参数化方案;在太平洋40°N~20°S区域内,采用前者得到的年平均海表温度比Pathfinder卫星资料高约0.21℃,而采用后者得到的年平均海表温度比Path-finder卫星资料高约0.63℃。(2)HYCOM数值模式很好地模拟了赤道及北太平洋的气候态海表温度变化及西太平洋暖池空间分布的月变化。特别是实验2(采用COADS数据集和非常数块体参数化方案),在太平洋40°N~20°S区域内,冬、春两季平均SST仅比Pathfinder卫星数据集高0.02℃。(3)不同海气通量数据会对模拟结果产生明显影响。对比采用COADS数据集的实验2结果与采用ECMWF数据集的实验4结果可以发现,在模拟区域的西北部,实验2比实验4的年平均SST高约1℃;在模拟区域的东南部,实验4比实验2的年平均SST高约1℃。两者差的最大值出现在58°N、140°E附近及中国渤海,实验2比实验4的年平均SST高约4℃。  相似文献   

8.
基于多元线性回归方法,利用2013-01-06的AMSR2辐射计亮温数据和红外-微波融合SST数据产品,开展了近海面气温反演算法研究,并用TAO,RAMA和PIRATA等浮标实测数据对近海面气温的反演结果进行检验。近海面气温反演结果误差情况:均方根误差为0.66℃,偏差为0.02℃,相关系数R为0.91,该误差结果表明所建立近海面气温反演算法较好的反映在60°S~60°N纬度范围内的近海面气温分布情况;同时为进一步确定不同纬度近海面气温反演的误差分布,将近海面气温反演结果与ECMWF再分析数据进行了对比分析,结果表明,从赤道起算,纬度每升高或降低1°,反演均方根误差约增大0.1℃。  相似文献   

9.
本文使用HYCOM数值模式,根据两种海气通量数据集(COADS、ECMWF)和两种海气通量块体参数化方案(常数块体参数化方案和非常数块体参数化方案)的不同结合,构成4组数值实验,分别模拟了赤道及北太平洋的气候态海表温度.实验结果表明:1)在本文的实验中,非常数块体参数化方案优于常数块体参数化方案;在太平洋40°N-20°S区域内,采用前者得到的年平均海表温度比Pathfinder卫星资料高约0.21 °C,而采用后者得到的年平均海表温度比Pathfinder卫星资料高约0.63 °C.2)HYCOM数值模式很好的模拟了赤道及北太平洋的气候态海表温度变化及西太平洋暖池空间分布的月变化.特别是实验2(采用COADS数据集和非常数块体参数化方案),在太平洋40°N - 20°S区域内,冬春两季平均SST仅比Pathfinder卫星数据集高0.02 °C.3)不同的海气通量数据会对模式结果产生明显的影响.对比采用COADS数据集的实验2结果与采用ECMWF数据集的实验4结果可以发现,在模拟区域的西北部,实验2比实验4的年平均SST高约1 °C;在模拟区域的东南部,实验4比实验2的年平均SST高约1 °C.两者差的最大值出现在58°N、140°E附近及中国渤海,约为4 °C(实验2比实验4的年平均SST高约4 °C).  相似文献   

10.
热带太平洋海洋-大气耦合系统对全球变暖的响应是气候变化的热点问题。前人研究发现,气候模式的模拟偏差对于全球变暖响应结果有重要影响。本文利用美国大气研究中心(National Center for Atmospheric Research, NCAR)的地球系统模式(The Community Earth System Model,CESM)中的大气模式(Community Atmosphere Model version 5, CAM5)设计数值试验,在相同的SST(Sea Surface Temperature)增暖强迫下,通过改变海洋SST的年际变化振幅,来分析热带海洋年际变化强度的模拟对未来热带海区降水和大气环流场未来变化的影响。试验结果表明,随着SST年际变化强度的增加,全球变暖后热带太平洋降水变化的东西不对称性,以及向暖池区域辐合的风场变化等特征都逐渐减弱。进一步的分析发现,不同年际变化信号导致的大气场变化差异主要发生在冬季,是由于热带太平洋SST年际变化主模态ENSO(El Niňo-Southern Oscillation)的不对称性造成的:在厄尔尼诺年,强(弱)的年际变化信号会造成降水在东太平洋产生较大(小)的变化;而在拉尼娜年和正常年份,年际变化信号的强弱对热带降水变化的影响则不大。当热带海温的年际变化较大时,厄尔尼诺年的海温异常更强,造成的降水和风场的变化特征也会更加显著。  相似文献   

11.
Using the air-sea data set of January, 1983 (the mature phase of the 1982/83 El Nino event), the net radiation on the sea surface, the fluxes of the latent and the sensible heat from ocean to the atmosphere and the net heat gain of the sea surface are calculated over the Indian and the Pacific Oceans for the domain of 35°N-35°S and 45°E-75°W. The results indicate that the upward transfer of the latent and the sensible heat fluxes over the winter hemisphere is larger than that over the summer hemisphere. The sensible heat over the tropical mid Pacific in the Southern Hemisphere is transported from the atmosphere to the ocean, though its magnitude is rather small. The latent heat flux gained by the air over the eastern Pacific is less than the mean value of the normal year. The net radiation, on which the cloud amount has considerable impact, is essentially zonally distributed. Moreover, the sea surface temperature (SST) has a very good correlation with the net radiation, the region of warm SST coinci  相似文献   

12.
The surroundings of the Bay of Bengal (BoB) suffer a lot from the extreme rainfall events during Indian summer monsoon (ISM). Previous studies have proved that the sea-air interaction is an important factor for the monsoonal precipitation. Using the 6th Coupled Modol Inter-comparison Project (CMIP6) models, this study examined the biases of surface heat flux, which is the main connection between atmosphere and ocean. Results show that although CMIP6 have a better simulation of intraseasonal sea surface temperature (SST) anomalies over BoB than the previous ones, the “atmospheric blockage” still delays the response of latent heat flux to the oceanic forcing. Specifically, during the increment of positive latent heat flux in CMIP6, the negative contribution from wind effects covers most of the positive contribution from humidity effects, due to the underestimate of humidity effects. Further diagnostic analysis denote that the surface air humidity has a quarter of a phase ahead of warm SST in observation, but gets wet along with the warm SST accordingly in most CMIP6 models. As a result, the simulated transfer of intraseasonal moisture flux is hindered between ocean and atmosphere. Therefore, as a bridge between both sides, the atmospheric boundary layer is essential for a better sea-air coupled simulation, especially when the atmospheric and the oceanic variabilities involved in a climate model becomes increasingly sophisticated. The surface air humidity and boundary layer processes require more attention as well as better simulations.  相似文献   

13.
In order to evaluate the assimilation results from a global high resolution ocean model, the buoy observations from tropical atmosphere ocean(TAO) during August 2014 to July 2015 are employed. The horizontal resolution of wave-tide-circulation coupled ocean model developed by The First Institute of Oceanography(FIOCOM model) is 0.1°×0.1°, and ensemble adjustment Kalman filter is used to assimilate the sea surface temperature(SST), sea level anomaly(SLA) and Argo temperature/salinity profiles. The simulation results with and without data assimilation are examined. First, the overall statistic errors of model results are analyzed. The scatter diagrams of model simulations versus observations and corresponding error probability density distribution show that the errors of all the observed variables, including the temperature, isotherm depth of 20°C(D20), salinity and two horizontal component of velocity are reduced to some extent with a maximum improvement of 54% after assimilation. Second, time-averaged variables are used to investigate the horizontal and vertical structures of the model results. Owing to the data assimilation, the biases of the time-averaged distribution are reduced more than70% for the temperature and D20 especially in the eastern Pacific. The obvious improvement of D20 which represents the upper mixed layer depth indicates that the structure of the temperature after the data assimilation becomes more close to the reality and the vertical structure of the upper ocean becomes more reasonable. At last,the physical processes of time series are compared with observations. The time evolution processes of all variables after the data assimilation are more consistent with the observations. The temperature bias and RMSE of D20 are reduced by 76% and 56% respectively with the data assimilation. More events during this period are also reproduced after the data assimilation. Under the condition of strong 2014/2016 El Ni?o, the Equatorial Undercurrent(EUC) from the TAO is gradually increased during August to November in 2014, and followed by a decreasing process. Since the improvement of the structure in the upper ocean, these events of the EUC can be clearly found in the assimilation results. In conclusion, the data assimilation in this global high resolution model has successfully reduced the model biases and improved the structures of the upper ocean, and the physical processes in reality can be well produced.  相似文献   

14.
Various statistical methods (empirical orthogonal function (EOF), rotated EOF, singular value decomposition (SVD), principal oscillation pattern (POP), complex EOF (CEOF) and joint CEOF) were applied to low-pass filtered (>7 years) sea surface temperature (SST), subsurface temperature and 500 hPa geopotential height in order to reveal standing and propagating features of decadal variations in the North Pacific. Four decadal ocean-atmosphere covariant modes were found in this study. The first mode is the well-known ENSO-like mode associated with the “Pacific-North American” atmospheric pattern, showing SST variations reversed between the tropics and the extratropics. In the western tropical Pacific, subsurface temperature variations were found to be out of phase with the SST variations. The other three modes are related to the oceanic general circulation composed of the subtropical gyre, the Alaskan gyre and the subpolar gyre, respectively. The 1988/89 event in the northern North Pacific was found to be closely associated with the subtropical gyre mode, and the atmospheric pattern associated with this mode is the Arctic Oscillation. An upper ocean heat budget analysis suggests that the surface net heat flux and mean gyre advection are important to the Alaskan gyre mode. For the subpolar gyre mode, the mean gyre advection, local Ekman pumping and surface net heat flux play important roles. Possible air-sea interactions in the North Pacific are also discussed. The oceanic signals for these decadal modes occupy a thick layer in the North Pacific, so that accumulated heat content may in turn support long-term climate variations. This revised version was published online in July 2006 with corrections to the Cover Date.  相似文献   

15.
本文主要介绍了南海及邻近海域大气-海浪-海洋耦合精细化数值预报系统的研制概况。预报区域为99°E~135°E,15°S~45°N,包括渤海、黄海、东海和南海及其周边海域。为了给耦合预报模式提供较准确的预报初始场,在预报开始之前,分别进行了海浪模式和海洋模式的前24小时同化后报模拟。海浪模式和海洋模式都采用了集合调整Kalman滤波同化方法,海浪模式同化了Jason-2有效波高数据;海洋模式同化了SST数据、MADT数据和ARGO剖面数据。为了改进海洋温度和盐度的模拟,我们在海洋模式的垂向混合方案中引入波致混合和内波致混合的作用。预报系统的运行主要包括两个阶段,首先海浪模式和海洋模式进行了2014年1月至2015年10月底的同化后报模拟,强迫场源自欧洲气象中心的六小时的再分析数据产品。然后耦合预报系统将同化后报模拟的结果作为初始场进行了14个月的耦合预报。预报产品包括大气产品(气温、风速风向、气压等)、海浪产品(有效波高和波向等)、海流产品(温度、盐度和海流等)。一系列观测资料的检验比较表明该大气-海浪-海洋耦合精细化数值预报系统的预报结果较为可靠,可以为南海及周边海洋资源开发和安全保障提供数据和信息产品服务。  相似文献   

16.
The results of the tropical Pacific response to the sudden onset of the equatorial wind stress anomalies are discussed. The ocean model is a barotropic, non-linearized one that includes reduced-gravity and an equation for the temperature of the ocean mixed-layer. The experiments are based on a state of equilibrium reached through a long running under the action of annual mean wind stress. There are two kinds of westward wind intensity regions: the whole tropical Pacific and the western tropical Pacific, which are all between latitude 6. 8癗 and 6. 8癝.In these cases, the results show that the positive sea surface temperature (SST) anomalies in the Eastern Pacific and the negative SST anomalies in the Western Pacific are produced, and the positive SST anomalies propagate eastward, just as those observed during the actual El Nino phenomena. The propagations of the Kelvin waves and Rossby waves in the ocean are discussed.Another experiment is also carried out in simulating the process of the decay of El Ni  相似文献   

17.
StudyonthecharacteristicsofthemarineboundarylayerintheEquatorialPacific¥ZhangZiyuandZhouMingyu(ReceivedAugust21,1993;accepted...  相似文献   

18.
Coupled seasonal variability in the South China Sea   总被引:2,自引:0,他引:2  
The present study documents the relationship between seasonal variations in sea surface temperature (SST) and precipitation in the South China Sea (SCS) region. There are strong interactions between the atmosphere and ocean in the seasonal variations of SST and precipitation. During the transition to warm and cold seasons, the SST tendency is primarily contributed by net heat flux dominated by shortwave radiation and latent heat flux with a complementary contribution from ocean advection and upwelling. The contribution of wind-driven oceanic processes depends on the region and is more important in the northern SCS than in the southern SCS. During warm and cold seasons, local SST forcing contributes to regional precipitation by modulating the atmospheric stability and lower-level moisture convergence. The SST difference between the SCS and the western North Pacific influences the convection over the SCS through its modulation of the circulation pattern.  相似文献   

19.
A mesoscale coupled atmosphere–ocean model has been developed based on the GRAPES(Global and Regional Assimilation and Prediction System) regional typhoon model(GRAPES_TYM) and ECOM-si(estuary, coast and ocean model(semi-implicit)). Coupling between the typhoon and ocean models was conducted by exchanging wind stress, heat, moisture fluxes, and sea surface temperatures(SSTs) using the coupler OASIS3.0. Numerical prediction experiments were run with and without coupling for the case of Typhoon Muifa in the western North Pacific. To investigate the impact of using more accurate SST information on the simulation of the track and the intensity of Typhoon Muifa, experiments were also conducted using increased SST resolution in the initial condition field of the control test. The results indicate that increasing SST resolution in the initial condition field somewhat improved the intensity forecast, and use of the coupled model improved the intensity forecast significantly, with mean absolute errors in maximum wind speed within 48 and 72 h reduced by 32% and 20%, respectively. Use of the coupled model also resulted in less pronounced over-prediction of the intensity of Typhoon Muifa by the GRAPES_TYM. Moreover, the effects of using the coupled model on the intensity varied throughout the different stages of the development of Muifa owing to changes in the oceanic mixed layer depth. The coupled model had pronounced effects during the later stage of Muifa but had no obvious effects during the earlier stage. The SSTs predicted by the coupled model decreased by about 5–6°C at most after the typhoon passed, in agreement with satellite data. Furthermore, based on analysis on the sea surface heat flux, wet static energy of the boundary layer, atmospheric temperature, and precipitation forecasted by the coupled model and the control test, the simulation results of this coupled atmosphere–ocean model can be considered to reasonably reflect the primary mechanisms underlying the interactions between tropical cyclones and oceans.  相似文献   

20.
The effects of sea surface temperature(SST) data assimilation in two regional ocean modeling systems were examined for the Yellow Sea(YS). The SST data from the Operational Sea Surface Temperature and Sea Ice Analysis(OSTIA) were assimilated. The National Marine Environmental Forecasting Center(NMEFC) modeling system uses the ensemble optimal interpolation method for ocean data assimilation and the Kunsan National University(KNU) modeling system uses the ensemble Kalman filter. Without data assimilation, the NMEFC modeling system was better in simulating the subsurface temperature while the KNU modeling system was better in simulating SST. The disparity between both modeling systems might be related to differences in calculating the surface heat flux, horizontal grid spacing, and atmospheric forcing data. The data assimilation reduced the root mean square error(RMSE) of the SST from 1.78°C(1.46°C) to 1.30°C(1.21°C) for the NMEFC(KNU) modeling system when the simulated temperature was compared to Optimum Interpolation Sea Surface Temperature(OISST) SST dataset. A comparison with the buoy SST data indicated a 41%(31%) decrease in the SST error for the NMEFC(KNU) modeling system by the data assimilation. In both data assimilative systems, the RMSE of the temperature was less than 1.5°C in the upper 20 m and approximately 3.1°C in the lower layer in October. In contrast, it was less than 1.0°C throughout the water column in February. This study suggests that assimilations of the observed temperature profiles are necessary in order to correct the lower layer temperature during the stratified season and an ocean modeling system with small grid spacing and optimal data assimilation method is preferable to ensure accurate predictions of the coastal ocean in the YS.  相似文献   

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