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1.
王万秋 《大气科学》1993,17(5):555-562
本文分析了用IAP两层大气环流模式模拟的海表动量和热量通量,并将其同Han等和Esbensen等的气候资料比较.模拟的热量通量与观测估计值有类似的水平分布和季节变化,但在中低纬地区有偏多的热量由海洋向大气输送,尤其1月北半球中纬大气需要从海洋获得过分多的热量;模拟的海表动量通量和气候估计值也类似,但模拟的北半球冬季中高纬西风动量通量中心位置偏东,赤道中西太平洋和大西洋的东风动量通量偏弱,南半球环绕南极的西风带模拟得过分弱(尤其在7月份).本文还检验了基本变量的日变化和日际变化对计算海表动量和湍流扩散热量通量的影响,结果表明用月平均,日平均和每小时的基本量计算的动量和湍流扩散热量通量依次增大,尤其在中高纬地区更明显.  相似文献   

2.
利用NCAR CCM2十八层全球大气环流谱模式和IAP/LASG OGCM二十层全球大洋环流模式,设计了一个通量场再分析同步耦合方案FRAC(Flux Re—Analysis Coupling scheme),建立了全球海气耦合模式系统(NIM/COAMS)。利用EOF理论消除分量模式通量在海气非线性相互作用过程中产生的高频振荡,保留模式通量场的主要成分.使模式误差不致被迅速放大。模拟结果表明,积分前10a全球平均海表温度仅上升0.1℃,全球平均表面温度仅上升0.3℃,以后基本保持不变,模式没有出现明显的气候漂移,50a积分显示,模式对气候态的模拟与观测基本一致,部分结果优于未耦合模式。  相似文献   

3.
评估了中国科学院大气物理研究所大气科学和地球流体动力学数值模拟国家重点实验室海洋环流模式L30T63和海气耦合模式FGCM-0模拟的热带太平洋年平均状态,资料取自L30T63由观测的大气强迫驱动的Control试验、由NCAR CCM3大气强迫驱动的Spinup试验、以及相应的海气耦合模式FGCM-0.主要的结论是:(1)在"准确"的海表强迫下,Control模拟的海面温度和温跃层与观测结果相当接近,模式的固有误差是赤道冷舌过分西伸和东南太平洋温跃层偏浅.(2)Spinup能模拟出合理的热带太平洋上层海洋环流,但存在两个问题,即:暖池区海面温度显著偏高、沿赤道的梯度过大;赤道温跃层偏浅、东西向坡度偏小,它们分别与CCM3提供的海表短波辐射通量和风应力的系统误差有关.这两个问题很可能是海气耦合模式FGCM-0运行初期误差迅速发展的重要原因.(3)FGCM-0模拟的赤道暖池区上层100 m的平均温度比观测低3℃.分析表明FGCM-0夸大了暖池区海洋动力过程的降温作用,使得模拟的"暖池"在一定程度上具有冷舌的属性.FGCM-0模拟的热带南太平洋温跃层比观测结果偏浅数十米到100 m,以致赤道两侧的上层海洋温度分布趋于对称,成为"double ITCZ"现象在上层海洋中的表现.风应力旋度的系统误差和垂直混合随深度衰减过快是温跃层偏浅的两个可能原因;FGCM-0中与北太平洋中高纬地区深厚冷偏差相关的经圈环流也有利于热带温跃层误差的维持.  相似文献   

4.
利用1979—2005年OAFlux (Objectively Analyzed air-sea Fluxes) 观测资料以及CMIP5的15个耦合模式的模拟结果,评估了BCC_CSM1.1(m) 模式对热带太平洋年平均潜热通量气候态和变化趋势的模拟能力,并分析造成趋势偏差的可能原因。结果表明:BCC_CSM1.1(m) 模式模拟热带太平洋年平均潜热通量气候态在各纬度上差异较大, 其中在赤道的模拟能力较佳,而在10°N和8°S附近模拟偏差较大;BCC_CSM1.1(m) 模式对热带太平洋年平均潜热通量趋势的模拟能力一般,造成趋势偏差的主要原因是该模式低估了风速对潜热通量的局地贡献以及它对风速的非局地贡献的模拟存在较大偏差。此外,该模式未能较好地模拟出风速对全球变暖响应。因此,BCC_CSM1.1(m) 模式对热带太平洋年平均潜热通量趋势模拟的改进需加强其对风速模拟的改进。  相似文献   

5.
21个气候模式对东亚夏季环流模拟的评估I:气候态.   总被引:7,自引:3,他引:4  
张宏芳  陈海山 《气象科学》2011,31(2):119-128
利用欧洲中期天气预报中心的40 a再分析资料(ERA40),评估了参与政府间气候变化专门委员会第四次评估报告(IPCC AR4)的21个全球海气耦合模式对东亚地区夏季大气环流气候态的模拟能力.结果表明:(1)尽管各模式模拟性能差异较大,但模式对东亚地区海平面气压场(SLP)、850 hPa风场及500 hPa位势高度场的气候态均有较好模拟;整体来说,500 hPa位势高度场模拟效果最好,SLP场模拟相对较差;(2)SLP在高原上模拟存在明显不足;多数模式能较好模拟850 hPa纬向、经向风场的基本特征;500 hPa位势高度场各模式模拟偏差一致性的区域性差异不明显;(3)模式对东亚地区夏季两大环流系统模拟整体偏弱,西太平洋副热带高压模拟明显偏弱.  相似文献   

6.
耦合模式FGOALS_s模拟的东亚夏季风   总被引:9,自引:6,他引:3  
本文评估了中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室的海气耦合模式FGOALS_s对东亚夏季风的模拟能力, 并通过与观测海温强迫下单独大气模式SAMIL试验结果的比较, 分析了海气耦合过程对模式性能的影响。结果表明, FGOALS_s基本能够模拟出东亚夏季风系统的气候态分布及其演变过程, 但也存在明显偏差, 主要表现为模拟的温度场在对流层中上层一致性偏冷, 导致模式中环流系统强度偏弱; 而温度经向梯度模拟的不足, 直接影响到东亚副热带西风急流的模拟。通过与观测海温强迫下SAMIL模拟结果的对比发现, SAMIL模拟的温度场、 环流场以及风场较之耦合模式结果更接近观测, 但也存在与FGOALS_s类似的模式偏差。因此, 大气模式固有的偏差对耦合模式的模拟偏差有重要影响。分析发现, 对于西太平洋降水的模拟而言, 耦合模式结果更加合理, 表明海气相互作用过程对模式性能有重要影响。本文的结果表明, 大气模式自身的误差是导致耦合模式误差的主要原因。通过更新云-辐射模块改进大气模式模拟的温度场, 应是FGOALS_s后续发展的首要工作。  相似文献   

7.
通过采用一种较好地考虑了海气通量交换对下垫面特征非线性依赖的通量计算方案,利用较成熟的逐日通量距平耦合方案实现了次网格尺度海冰非均匀条件下一个全球大气环流模式和一个全球海洋环流模式在高纬地区的耦合,并完成了一个50年的长期积分。模拟结果表明,通量计算方案中水道的作用是合理的,耦合模式能较好地模拟出北半球高纬海冰的主要地理分布特征,但夏季北冰洋内部靠近欧亚大陆部分边缘海区海冰密集度偏大。  相似文献   

8.
BCC_CSM模式对热带降水年循环模态的模拟   总被引:7,自引:2,他引:5       下载免费PDF全文
本文评估了国家气候中心发展的两个不同分辨率海—陆—气—冰多圈层耦合气候系统模式BCC_CSM1.1和BCC_CSM1.1 (m) 对热带降水两个年循环模态——揭示降水冬夏季节差异的季风模态和揭示过渡季节春季和秋季非对称特征的春秋非对称模态的模拟能力,讨论了模拟偏差产生的可能原因。分析结果表明,BCC_CSM1.1和BCC_CSM1.1 (m) 均能合理再现全球年平均降水的基本分布特征,也能较合理再现热带降水年循环模态的基本分布特征,尤其季风模态中降水与环流关于赤道反对称的特征;能够较合理再现春秋非对称模态与热带海洋表面温度(SST)年循环之间的关系。大气温度场、环流场以及热带SST的模拟偏差对降水季风模态有影响;热带SST年循环的偏差对降水春秋非对称模态的模拟偏差有贡献;模式分辨率对降水年循环模态的模拟也有一定影响。对比分析显示,大气模式和陆面模式水平分辨率提高之后模式在某些模拟性能上有所提高,这表现在:BCC_CSM1.1 (m) 模拟的1~12月降水气候态的空间变率更接近观测;热带海表温度年循环总体上更接近观测;模拟的热带降水年循环模态的部分特征更合理。但BCC_CSM1.1 (m) 的模拟结果相对观测仍存在较大偏差,有待进一步改进。  相似文献   

9.
采用一种基于降水异常追踪MJO(Madden–Julian Oscillation)东传的MJO识别方法(MJO Tracking)评估了参与MJOTF/GASS(MJO Task Force/Global Energy and Water Cycle Experiment Atmospheric System Study)全球模式比较计划的全海气耦合模式(CNRM-CM)、半海气耦合模式(CNRM-ACM)和大气模式(CNRM-AM)1991~2010年模拟MJO的能力,探究了海气耦合过程对模式模拟MJO能力的影响机理。CNRM-CM模式模拟的MJO结构更加接近观测,该模式不仅具有最高的MJO生成频率,也能够模拟较强的MJO强度以及较远的传播距离。海气耦合过程会造成CNRM-CM和CNRM-ACM模式中印度洋—太平洋暖池区域海温气候态的冷偏差。但是这种海温气候态的偏差基本没有改变模式模拟MJO的能力。CNRM-CM中MJO对流中心东(西)侧存在较强的季节内尺度海温暖(冷)异常,纬向梯度明显,而CNRM-ACM和CNRM-AM中不存在这样的海温东西不对称结构。结果表明在CNRM模式中海气耦合过程调控模式海温季节内尺度变率对模式MJO模拟能力的影响比调控模式海温气候态更加重要。  相似文献   

10.
IAP T42L9全球谱模式加热场的诊断   总被引:1,自引:1,他引:0  
就一次出梅时副高北进过程, 对IAP T42L9全球谱模式加热场与利用ECMWF同化系统资料根据热力学方程反算的加热场进行了比较。结果表明:模式参数化加热场的水平分布基本合理,但低纬和南半球中高纬地区加热偏弱; 参数化加热的垂直分布在北半球比较合理,但在南半球与反算法的结果有较大差别。这些结果对模式能很好地预报北半球中高纬环流形势演变,较好地预报西太平洋副高变化及预报的副高系统性偏弱给出了较好的解释。  相似文献   

11.
This study documents simulated oceanic circulations and sea ice by the coupled climate system model FGOALS-f3-L developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, under historical forcing from phase 6 of the Coupled Model Intercomparison Project (CMIP6). FGOALS-f3-L reproduces the fundamental features of global oceanic circulations, such as sea surface temperature (SST), sea surface salinity (SSS), mixed layer depth (MLD), vertical temperature and salinity, and meridional overturning circulations. There are notable improvements compared with the previous version, FGOALS-s2, such as a reduction in warm SST biases near the western and eastern boundaries of oceans and salty SSS biases in the tropical western Atlantic and eastern boundaries, and a mitigation of deep MLD biases at high latitudes. However, several obvious biases remain. The most significant biases include cold SST biases in the northwestern Pacific (over 4°C), freshwater SSS biases and deep MLD biases in the subtropics, and temperature and salinity biases in deep ocean at high latitudes. The simulated sea ice shows a reasonable distribution but stronger seasonal cycle than observed. The spatial patterns of sea ice are more realistic in FGOALS-f3-L than its previous version because the latitude–longitude grid is replaced with a tripolar grid in the ocean and sea ice model. The most significant biases are the overestimated sea ice and underestimated SSS in the Labrador Sea and Barents Sea, which are related to the shallower MLD and weaker vertical mixing.  相似文献   

12.
BCC_CSM1.1对10年尺度全球及区域温度的预测研究   总被引:6,自引:3,他引:3  
高峰  辛晓歌  吴统文 《大气科学》2012,36(6):1165-1179
近期10~30年时间尺度的年代际预测是第五次耦合模式国际比较计划(CMIP5)重要内容之一。按照CMIP5试验要求, 国家气候中心利用气候系统模式BCC_CSM1.1完成并提交了年代际试验结果。本文评估了该模式年代际试验对10年尺度全球及区域地表温度的预测能力, 并通过与20世纪历史气候模拟试验的对比分析, 研究模式模拟对海洋初始观测状态的依赖程度。分析结果表明:(1)在有、无海洋初始化条件下, 模式均能模拟出1960~2005年间全球10年平均实测地表温度的变暖趋势, 但在有海洋初始化条件下, 可以明显减小BCC_CSM1.1模式模拟的全球升温趋势, 使得年代际试验比历史试验的结果更接近观测值。这一特点在观测资料相对丰富的南北纬50°以内地区更为显著。(2)在年代际试验预测前期, 通过Nudging方法, 利用SODA再分析海洋温度资料对模式进行初始化, 经过前期8~12月的协调后, 模式预测的第1年南北纬50°范围海洋、陆面的平均地表气温接近于观测值(CRUTEM3, HadSST2)。由于模式初值SODA再分析SST资料与HadSST2观测值存在明显的全球大洋系统暖偏差以及模式本身系统偏差的影响, 年代际试验模拟的地表气温在2~7年之内, 从观测SST状态逐渐恢复到模式系统本身状态。在同组Decadal试验中, 陆面和海洋恢复调整的时间长度几乎一致。(3) 从10年平均气候异常在区域尺度上的预报技巧来看, 有、无海洋初始同化对预测结果影响不大, 高预测技巧区主要分布在南半球印度洋中高纬度、热带西太平洋以及热带大西洋区域。(4)SST变化与下垫面热通量密切相关, 在热带和副热带海洋区域, 长波辐射和感热通量是影响10年时间尺度SST变化较大的物理量, 在中高纬度海洋, 洋面温度变化主要受潜热通量的影响相对较大。  相似文献   

13.
Warm sea-surface temperature (SST) biases in the southeastern tropical Atlantic (SETA), which is defined by a region from 5°E to the west coast of southern Africa and from 10°S to 30°S, are a common problem in many current and previous generation climate models. The Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble provides a useful framework to tackle the complex issues concerning causes of the SST bias. In this study, we tested a number of previously proposed mechanisms responsible for the SETA SST bias and found the following results. First, the multi-model ensemble mean shows a positive shortwave radiation bias of ~20 W m?2, consistent with models’ deficiency in simulating low-level clouds. This shortwave radiation error, however, is overwhelmed by larger errors in the simulated surface turbulent heat and longwave radiation fluxes, resulting in excessive heat loss from the ocean. The result holds for atmosphere-only model simulations from the same multi-model ensemble, where the effect of SST biases on surface heat fluxes is removed, and is not sensitive to whether the analysis region is chosen to coincide with the maximum warm SST bias along the coast or with the main SETA stratocumulus deck away from the coast. This combined with the fact that there is no statistically significant relationship between simulated SST biases and surface heat flux biases among CMIP5 models suggests that the shortwave radiation bias caused by poorly simulated low-level clouds is not the leading cause of the warm SST bias. Second, the majority of CMIP5 models underestimate upwelling strength along the Benguela coast, which is linked to the unrealistically weak alongshore wind stress simulated by the models. However, a correlation analysis between the model simulated vertical velocities and SST biases does not reveal a statistically significant relationship between the two, suggesting that the deficient coastal upwelling in the models is not simply related to the warm SST bias via vertical heat advection. Third, SETA SST biases in CMIP5 models are correlated with surface and subsurface ocean temperature biases in the equatorial region, suggesting that the equatorial temperature bias remotely contributes to the SETA SST bias. Finally, we found that all CMIP5 models simulate a southward displaced Angola–Benguela front (ABF), which in many models is more than 10° south of its observed location. Furthermore, SETA SST biases are most significantly correlated with ABF latitude, which suggests that the inability of CMIP5 models to accurately simulate the ABF is a leading cause of the SETA SST bias. This is supported by simulations with the oceanic component of one of the CMIP5 models, which is forced with observationally derived surface fluxes. The results show that even with the observationally derived surface atmospheric forcing, the ocean model generates a significant warm SST bias near the ABF, underlining the important role of ocean dynamics in SETA SST bias problem. Further model simulations were conducted to address the impact of the SETA SST biases. The results indicate a significant remote influence of the SETA SST bias on global model simulations of tropical climate, underscoring the importance and urgency to reduce the SETA SST bias in global climate models.  相似文献   

14.
Climate drift in preindustrial control (PICTL) simulations can lead to spurious climate trends and large uncertainties in historical and future climate simulations in coupled models. This study examined the long-term behaviors and stabilities of the PICTL simulations in the two versions of FGOALS2 (the Flexible Global Ocean-Atmosphere-Land System model Version 2), which have been submitted to the Coupled Model Inter-comparison Project Phase 5 (CMIP5). As verified by examining time series of thermal fields and their linear trends, the PICTL simulations showed stable long-term integration behaviors and no obvious climate drift [the magnitudes of linear trends of SST were both less than 0.04oC (100 yr)-1] over multiple centuries. The changed SSTs in a century (that corresponded to the linear trends) were less than the standard deviations of annual mean values, which implied the internal variability was not affected. These trend values were less than 10% of those of global averaged SST from observations and historical runs during the periods of slow and rapid warming. Such stable long-term integration behaviors reduced the uncertainty of the estimation of global warming rates in the historical and future climate projections in the two versions of FGOALS2. Compared with the trends in the Northern Hemisphere, larger trends existed in the SST and sea ice extents at the middle to high latitudes of the Southern Hemisphere (SH). To estimate the historical and future climate trends in the SH or at some specific regions in FGOALS2, corrections needed to be carried out. The similar long-term behaviors in the two versions of FGOALS2 may be attributed to proper physical processes in the ocean model.  相似文献   

15.
Many climate models have problems simulating Indian summer monsoon rainfall and its variability, resulting in considerable uncertainty in future projections. Problems may relate to many factors, such as local effects of the formulation of physical parametrisation schemes, while common model biases that develop elsewhere within the climate system may also be important. Here we examine the extent and impact of cold sea surface temperature (SST) biases developing in the northern Arabian Sea in the CMIP5 multi-model ensemble, where such SST biases are shown to be common. Such biases have previously been shown to reduce monsoon rainfall in the Met Office Unified Model (MetUM) by weakening moisture fluxes incident upon India. The Arabian Sea SST biases in CMIP5 models consistently develop in winter, via strengthening of the winter monsoon circulation, and persist into spring and summer. A clear relationship exists between Arabian Sea cold SST bias and weak monsoon rainfall in CMIP5 models, similar to effects in the MetUM. Part of this effect may also relate to other factors, such as forcing of the early monsoon by spring-time excessive equatorial precipitation. Atmosphere-only future time-slice experiments show that Arabian Sea cold SST biases have potential to weaken future monsoon rainfall increases by limiting moisture flux acceleration through non-linearity of the Clausius–Clapeyron relationship. Analysis of CMIP5 model future scenario simulations suggests that such effects are small compared to other sources of uncertainty, although models with large Arabian Sea cold SST biases may suppress the range of potential outcomes for changes to future early monsoon rainfall.  相似文献   

16.
The Southern Annular Mode(SAM)plays an important role in regulating Southern Hemisphere extratropical circulation.State-of-the-art models exhibit intermodel spread in simulating long-term changes in the SAM.Results from Atmospheric Model Intercomparison Project(AMIP)experiments from 28 models archived in CMIP5 show that the intermodel spread in the linear trend in the austral winter(June?July?August)SAM is significant,with an intermodel standard deviation of 0.28(10 yr)?1,larger than the multimodel ensemble mean of 0.18(10 yr)?1.This study explores potential factors underlying the model difference from the aspect of extratropical sea surface temperature(SST).Extratropical SST anomalies related to the SAM exhibit a dipole-like structure between middle and high latitudes,referred to as the Southern Ocean Dipole(SOD).The role of SOD-like SST anomalies in influencing the SAM is found in the AMIP simulations.Model performance in simulating the SAM trend is linked with model skill in reflecting the SOD?SAM relationship.Models with stronger linkage between the SOD and the SAM tend to simulate a stronger SAM trend.The explained variance is about 40%in the AMIP runs.These results suggest improved simulation of the SOD?SAM relationship may help reproduce long-term changes in the SAM.  相似文献   

17.
BCC_CSM对全球海冰面积和厚度模拟及其误差成因分析   总被引:3,自引:0,他引:3  
本文评估了国家气候中心发展的BCC_CSM模式对全球海冰的模拟能力,结果表明:该气候系统模式能够较好地模拟出全球海冰面积和厚度的时空分布特征,且南半球海冰模拟能力优于北半球。通过对比分析发现:年平均海冰面积模拟误差最大的区域位于鄂霍次克海、白令海和巴伦支海等海区,年平均海冰厚度分布与观测相近,在北半球冬季模拟的厚度偏薄;从海冰季节变化来看,模拟的夏季海冰面积偏低,冬季偏高;从海冰年际变化来看,近60年南北半球海冰面积模拟都比观测偏多,但南半球偏多幅度较小,然而北半球海冰年际变化趋势的模拟却好于南半球。另外,通过对海冰模拟误差成因分析,发现模拟的净辐射能量收入偏低使得海温异常偏冷,是导致北半球冬季海冰模拟偏多的主要原因。  相似文献   

18.
平流层火山气溶胶时空传播规律及其气候效应   总被引:2,自引:1,他引:1       下载免费PDF全文
根据平流层火山气溶胶传播规律研究,该文构建了反映火山喷发强度、平流层火山气溶胶相对浓度、火山气溶胶扩散速率和反映火山爆发地理位置并且按e指数规律衰减的火山活动指数(VEI)时空分布函数,进一步建立了北半球中高纬度、南北半球低纬度和南半球中高纬度3个1945-2008年逐月火山活动指数时间序列。根据3个逐月火山活动指数时间序列分别分析了北半球中高纬度、南北半球低纬度和南半球中高纬度火山活动对于相应纬度带地面气温的影响。研究表明:无论南北半球还是热带,火山活动强时地面气温下降,火山活动弱时地面气温上升,并且地面气温对于火山活动的响应明显滞后。  相似文献   

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