Weak ENSO Asymmetry Due to Weak Nonlinear Air–Sea Interaction in CMIP5 Climate Models

State-of-the-art climate models have long-standing intrinsic biases that limit their simulation and projection capabilities.Significantly weak ENSO asymmetry and weakly nonlinear air–sea interaction over the tropical Pacific was found in CMIP5(Coupled Model Intercomparison Project, Phase 5) climate models compared with observation. The results suggest that a weak nonlinear air–sea interaction may play a role in the weak ENSO asymmetry. Moreover, a weak nonlinearity in air–sea interaction in the models may be associated with the biases in the mean climate—the cold biases in the equatorial central Pacific. The excessive cold tongue bias pushes the deep convection far west to the western Pacific warm pool region and suppresses its development in the central equatorial Pacific. The deep convection has difficulties in further moving to the eastern equatorial Pacific, especially during extreme El Ni o events, which confines the westerly wind anomaly to the western Pacific. This weakens the eastern Pacific El Ni o events, especially the extreme El Ni o events, and thus leads to the weakened ENSO asymmetry in climate models. An accurate mean state structure(especially a realistic cold tongue and deep convection) is critical to reproducing ENSO events in climate models. Our evaluation also revealed that ENSO statistics in CMIP5 climate models are slightly improved compared with those of CMIP3. The weak ENSO asymmetry in CMIP5 is closer to the observation. It is more evident in CMIP5 that strong ENSO activities are usually accompanied by strong ENSO asymmetry, and the diversity of ENSO amplitude is reduced.     

Robustness of Precipitation Projections in China:Comparison between CMIP5 and CMIP3 Models

Three sources of uncertainty in model projections of precipitation change in China for the 21st century were separated and quantified: internal variability,inter-model variability,and scenario uncertainty.Simulations from models involved in the third phase and the fifth phase of the Coupled Model Intercomparison Project(CMIP3 and CMIP5) were compared to identify improvements in the robustness of projections from the latest generation of models.No significant differences were found between CMIP3 and CMIP5 in terms of future precipitation projections over China,with the two datasets both showing future increases.The uncertainty can be attributed firstly to internal variability,and then to both inter-model and internal variability.Quantification analysis revealed that the uncertainty in CMIP5 models has increased by about 10%–60% with respect to CMIP3,despite significant improvements in the latest generation of models.The increase is mainly due to the increase of internal variability in the initial decades,and then mainly due to the increase of inter-model variability thereafter,especially by the end of this century.The change in scenario uncertainty shows no major role,but makes a negative contribution to begin with,and then an increase later.     

CMIP5模式对东太平洋ITCZ偶极子模态模拟能力的评估

本研究利用第五次国际间耦合模式比较计划(Coupled Model Intercomparison Project phase 5, CMIP5)中的24个模式的工业革命前控制试验(Pre-industrial Control, picontrol)模拟结果, 结合观测资料, 评估了24个CMIP5 模式对东太平洋热带辐合带偶极子(Eastern Pacific ITCZ dipole, EPID)降水模态的模拟能力, 并建立了其与模式对热带太平洋气候态模拟之间的联系。结果表明: 1) 绝大多数模式在北半球春季(2—4月)对EPID模态模拟能力较差, 主要原因在于CMIP5模式对热带辐合带(Intertropical Convergence Zone, ITCZ)的模拟偏差, 其中模拟效果较差的模式在2—4月的气候态降水分布在赤道以南, 且降水普遍偏强; 2) 对各模式的EPID模态选取的季节按照技巧评分最高进行调整后, 大部分模式能较好地模拟出EPID模态的空间分布特点, 技巧评分在0.6以上, 其中模拟效果好的模式(技巧评分大于0.7)中EPID模态出现的月份同时在中东太平洋气候态表现出“双ITCZ”特征, 且多模式集合结果的模拟误差小于绝大多数模式。     

基于CMIP5多模式集合资料的中国气温和降水预估及概率分析

选用国际耦合模式比较计划第五阶段（CMIP5）提供的30个全球大气-海洋耦合模式（AOGCMs）在典型浓度路径（RCPs）情景下气温和降水量的预估结果,采用扰动法,用站点观测资料作为气候背景场替代AOGCM模拟的气候平均,尝试校正气候预估结果的系统性偏差。通过集合方法,用概率的形式给出中国平均气温升高1 ℃,2 ℃和3 ℃以及降水量增加10%,20%和30%概率的空间分布,讨论了中国未来平均气温和降水量可能的变化。结果表明：经过扰动法处理后的气温和降水量预估集合保留了当前气候的局地信息。预估平均气温在中国均有上升,北方地区尤其是青藏高原地区变暖的程度大于南方地区,北方大部分地区平均气温升高的趋势为0.28 ℃/10a。在21世纪初,中国北方地区年平均气温升高1 ℃的可能性超过50%。到了21世纪末期,中国大部分地区平均气温升高2 ℃的可能性超过60%,新疆北部以及青藏高原南部地区气温升高3 ℃的可能性超过50%。预估中国降水量普遍增多,中国北方地区降水量增多的程度要明显大于江淮流域及其以南地区,尤其是西北地区降水量增多非常显著,降水量增多30%的可能性超过70%以上。     

Fast and slow responses of the North Pacific mode water and Subtropical Countercurrent to global warming

Six coupled general circulation models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are employed for examining the full evolution of the North Pacific mode water and Subtropical Countercurrent (STCC) under global warming over 400 years following the Representative Concentration Pathways (RCP) 4.5. The mode water and STCC first show a sharp weakening trend when the radiative forcing increases, but then reverse to a slow strengthening trend of smaller magnitude after the radiative forcing is stablized. As the radiative forcing increases during the 21st century, the ocean warming is surface-intensified and decreases with depth, strengthening the upper ocean’s stratification and becoming unfavorable for the mode water formation. Moving southward in the subtropical gyre, the shrinking mode water decelerates the STCC to the south. After the radiative forcing is stabilized in the 2070s, the subsequent warming is greater at the subsurface than at the sea surface, destabilizing the upper ocean and becoming favorable for the mode water formation. As a result, the mode water and STCC recover gradually after the radiative forcing is stabilized.     

10个CMIP5模式预估中亚地区未来50 a降水时空变化特征

利用CRU月降水资料首先对参与IPCC第五次评估报告（IPCC AR5）的10个CMIP5模式对1951-2005年中亚地区年降水气候平均态、年际变率以及线性趋势等特征参数的模拟能力进行了系统评估,并选取具有较好模拟性能模式的未来预估试验结果作多模式集合平均预估未来50 a（2011-2060年）中亚地区在不同代表性浓度路径下降水量各特征参数的空间分布特征,结果表明：多数模式能够模拟出中亚地区年降水气候平均态、年际变率以及线性趋势的空间分布特征,同时发现中亚地区年降水量在过去50 a整体以轻微增加为主,趋势不显著。根据定量评估结果,从10个模式中选取4个具有较好模拟性能的模式结果做集合平均,同时利用历史回报试验数据进行检验,发现集合平均的模拟结果无论在量级还是高、低值中心的位置和范围与CRU资料非常接近。未来预估结果表明4种排放情景下4模式集合平均的中亚年降水在未来50 a增加较为明显,尤其在中国新疆南部（由低值区转变为高值区）。总体来看,未来50 a中亚降水增加趋势随着RCPs的增加而增加,且降水增加显著的区域随着RCPs的增加而明显增大。     

CMIP5气候模式下淡水通量变化

基于全球降水气候态计划(GPCP)的降水资料和美国伍兹霍尔海洋研究所(WHOI)的客观分析海气通量(OAFlux)的蒸发数据,对CMIP5的13个耦合模式的淡水通量历史模拟结果进行评估。结果表明:模式能够模拟出淡水通量的气候态空间分布,但普遍存在双热带辐合带(ITCZ)现象,热带海域是模式模拟不确定性最大的区域。模式能较好模拟出纬向平均的淡水通量的分布特征,但量值较实测偏小,且由于模式对1月10°S附近淡水通量的模拟过低,导致年平均的赤道和10°S之间的淡水通量模拟存在明显的偏差。季节尺度上,模式对北半球淡水通量的变化特征有很好的模拟能力,但对南半球的模拟能力不足。年际尺度上,模式普遍能够刻画ENSO引起的淡水通量在太平洋中部同西太平洋以及印尼贯通流反相变化的空间分布特征,但是时间特征模拟很差。从各个方面评估模式的历史模拟结果,多模式集合的结果都要优于单个模式的结果。全球变暖背景下,未来淡水通量变化最显著的区域位于热带和亚热带区域。原本蒸发(降水)占主导的海域,蒸发(降水)更强。不同气候情景下,淡水通量变化的空间形态没有显著变化,但RCP8.5气候情景下模拟的淡水通量变化幅度及模式间变化的一致性均强于RCP4.5的结果。     

CMIP5模式对中国近海海表温度的模拟及预估

基于观测和再分析资料;利用多种指标和方法评估了国际耦合模式比较计划（CMIP5）中21个模式对中国近海海温的月、季节和年际变化模拟能力。多模式集合能够再现气候平均意义下近海海温的空间分布特征;但量值上存在一定的低估。在渤海和黄海;集合平均与观测差别比较明显。在年际尺度上;与观测数据对比;模式模拟海温与Niño3指数相关性较小。中国近海海表面温度在1960-2002年有明显的升高趋势;从2003年开始增温趋缓。评估结果表明;ACCESS1.0、BCC-CSM1.1、HadGEM2-ES、IPSL-CM5A-MR、CMCC-CM、FGOALS-g2、CNRM-CM5-2、INMCM4八个模式对中国近海海温的变化有较好的模拟能力。利用ACCESS1.0、INMCM4、BCC-CSM1.1、IPSL-CM5A-MR、CMCC-CM这5个模式结果对中国近海海温未来的变化进行了预估。在RCP4.5、RCP8.5情景下;未来近100年中国近海海温有明显升高趋势;最优模式多模式集合平均增温分别可达到1.5℃、3.3℃;净热通量变化和平流变化共同促进了东海升温。     

基于贝叶斯模型的器测、古气候重建与气候模拟数据的融合试验

气象部门馆藏的西部最早的器测气象资料始于20世纪30年代,不能满足建立20世纪以来中国气候变化序列的需求,而古气候重建或气候模拟资料则可以延伸到器测时代以前。为了探讨长序列多源气候资料序列融合方法,采用贝叶斯方法对中国北疆地区8条树轮气温重建资料、器测资料与国际耦合模式比较计划第5阶段（CMIP5）模式模拟资料进行了融合试验。首先利用器测资料对气温代用资料进行校验与网格重建,并以此作为贝叶斯模型的先验分布,然后,用泰勒图选出了该区域气候模拟效果最佳的几个模式;最后将网格重建和气候模拟序列用贝叶斯模型进行了融合试验。结果表明,贝叶斯融合模型能有效提取各种数据来源的有用信息进行融合,融合结果的长期变化（线性）趋势更接近器测气候序列,并在一定程度上提高了序列的精度,减小了结果的不确定性;并且,融合结果能够纠正先验分布及气候模拟数据的明显偏差,为长年代气候序列重建提供了一个可行的思路。      

Comparison of coupled and uncoupled models in simulating Monsoon Intraseasonal Oscillation from CMIP6

The monsoon intraseasonal oscillation (MISO) is the dominant variability over the Indian Ocean during the Indian summer monsoon (ISM) season and is characterized by pronounced northward propagation. Previous studies have shown that general circulation models (GCMs) still have difficulty in simulating the northward-propagating MISO, and that the role of air-sea interaction in MISO is unclear. In this study, 14 atmosphere-ocean coupled GCMs (CGCMs) and the corresponding atmosphere-only GCMs (AGCMs) are selected from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) to assess their performance in reproducing MISO and the associated vortex tilting mechanism. The results show that both CGCMs and AGCMs are able to well simulate the significant relationship between MISO and vortex tilting. However, 80% of CGCMs show better simulation skills for MISO than AGCMs in CMIP6. In AGCMs, the poor model fidelity in MISO is due to the failure simulation of vortex tilting. Moreover, it is found that failure to simulate the downward motion to the north of convection is responsible for the poor simulation of vortex tilting in AGCMs. In addition, it is observed that there is a significant relationship between the simulated sea surface temperature gradient and simulated vertical velocity shear in the meridional direction. These findings indicate that air-sea interaction may play a vital role in simulating vertical motions in tilting and MISO processes. This work offers us a specific target to improve the MISO simulation and further studies are needed to elucidate the physical processes of this air-sea interaction coupling with vortex tilting.