CMIP3及CMIP5模式对冬季和春季北极涛动变率模拟的比较

结合NCEP再分析资料,评估了28个参加第五次耦合模式比较计划（CMIP5）的耦合模式对1950-2000年冬、春季北极涛动（AO）变率的模拟能力,并与CMIP3模式模拟结果进行了对比。结果表明,尽管CMIP5模式没能模拟出冬、春季AO指数前30年处于显著的负位相期而后20年处于显著的正位相期的特征,但是基本能够模拟出冬、春季AO指数1950-2000年显著的增强趋势以及振荡周期,多模式集合改进了模拟效果。同样,CMIP3模式没能模拟出冬、春季AO指数前30年处于显著的负位相而后20年处于显著的正位相的特征,而且1950-2000年冬、春季AO指数的增强趋势在CMIP3模式模拟结果中也没有表现出来,多模式集合没有改进模式模拟效果。不仅如此,CMIP3模式对AO指数的长期变化周期模拟不好,只是模拟出了冬季周期为2～3 a的振荡,没有模拟出春季AO指数的4～5 a振荡周期。尽管CMIP5模式对冬、春季AO指数的模拟能力还不够理想,没有完全模拟出AO指数的变化特征,但是相对于CMIP3模式,无论是对AO指数变化趋势的模拟还是对其变化周期的模拟,CMIP5模式都有所提高。     

过去1500年典型暖期东亚夏季风年代际变化特征对比及其可能成因

利用通用地球系统模式开展的过去1500年气候模拟全强迫试验和对照试验结果,在验证模式模拟性能的基础上,采用多变量经验正交函数分解等方法,对比分析了典型暖期东亚夏季风年代际变化特征及其成因机制。结果表明,两个典型暖期东亚夏季风变化的主周期均为准10 a和准20 a。中世纪暖期黄河流域至日本南部一带降水偏多,长江流域以南和西北太平洋一带降水偏少;现代暖期东亚夏季风降水表现为"南涝北旱"型分布特征。内部变率是影响典型暖期东亚夏季风变化的主控因子之一,其中太平洋年代际振荡起决定性作用。当太平洋年代际振荡处于正位相时,热带西太平洋(东亚大陆)变暖(变冷),东亚地区海、陆热力差减小,对应弱的东亚夏季风。另外,中世纪暖期海平面气压的动态变化对应850 hPa风场在西北太平洋(日本海)一带均出现了经向排列的异常反气旋(气旋),从而导致中国南部(北部)降水偏多(偏少)。     

耦合模式ICM模拟的近千年气候特征

利用中国科学院大气物理研究所季风系统研究中心发展的气候模式(Integrated Climate Model,ICM)开展了近千年气候模拟试验,考察了模式对过去千年温度和大气涛动变化的模拟,并分析了全球季风百年到千年尺度的变化。结果表明:模式对百年尺度气候变率有较好的模拟能力,900~1200年北半球平均表面温度偏高,1500~1800年温度偏低,模拟的北半球、南半球平均表面温度都呈现出了19世纪至2000年的快速增暖。模式对大气涛动百年尺度变化的模拟与重建资料存在较大的不同。全球季风在850~1050年、1150~1200年和1300~1420加强,在1210~1300年和1600~1850年减弱。1875~2000年全球季风指数呈直线上升趋势。中世纪气候异常期(MWP)季风强度在全球大部分季风区域增加,小冰期(LIA)则相反。20世纪暖期(PWP)全球季风强度显著增加,其中赤道西太平洋增加超过1 mm/d。     

过去1500年典型暖期东亚夏季风年代际变化特征对比及其可能成因

利用通用地球系统模式开展的过去1500年气候模拟全强迫试验和对照试验结果，在验证模式模拟性能的基础上，采用多变量经验正交函数分解等方法，对比分析了典型暖期东亚夏季风年代际变化特征及其成因机制。结果表明，两个典型暖期东亚夏季风变化的主周期均为准10 a和准20 a。中世纪暖期黄河流域至日本南部一带降水偏多，长江流域以南和西北太平洋一带降水偏少；现代暖期东亚夏季风降水表现为“南涝北旱”型分布特征。内部变率是影响典型暖期东亚夏季风变化的主控因子之一，其中太平洋年代际振荡起决定性作用。当太平洋年代际振荡处于正位相时，热带西太平洋（东亚大陆）变暖（变冷），东亚地区海、陆热力差减小，对应弱的东亚夏季风。另外，中世纪暖期海平面气压的动态变化对应850 hPa风场在西北太平洋（日本海）一带均出现了经向排列的异常反气旋（气旋），从而导致中国南部（北部）降水偏多（偏少）。      

CMIP5多模式对阿留申低压气候特征的模拟检验与预估

利用观测的海温资料和海平面气压资料,检验了CMIP5(Coupled Model Intercomparison Project 5,CMIP5)多模式对阿留申低压(Aleutian Low,AL)特征指数的时空分布和变化的模拟能力;从AL周期及变化趋势等方面,分析了CMIP5模式预估的未来AL的变化特征。结果表明,CMIP5模式及其集合平均能够很好地模拟AL的环流结构,对AL的气候态有着较强的模拟能力,尤其是模式对于东太平洋海表温度的模拟能力直接影响其对于AL的模拟效果。模式的集合平均对变率强度的模拟偏强,且对于变率的模拟效果逊于对气候态的模拟。22个模式中的16个模式能模拟出AL强度指数的年代际变化周期,对年代际周期有着较好的刻画能力。Historical试验下对于AL的变化趋势存在着较大的不确定性,而相对于两种不同排放情景,随着排放的增加,AL更加偏北,强度增强,年际、年代际周期变得更加显著。在两种排放情景下模式的集合平均以及多数模式模拟出AL有着向北和增强的趋势。     

CMIP3气候模式对东亚冬季大气环流模拟能力的评估

利用1960—1999年ECMWF月平均再分析资料(ERA40)和耦合模式比较计划(Phase 3 of the CoupledModel Intercomparison Project,简称CMIP3)21个气候耦合模式对20世纪气候模拟试验的模式结果,从气候态和年际变化两个方面,评估了CMIP3气候模式对东亚冬季大气环流的模拟能力。结果表明:(1)模式对东亚地区冬季海平面气压、850 hPa纬向风、经向风和500 hPa高度场气候态的模拟存在不同程度的偏差,但均能较好模拟出上述要素气候态的空间分布特征。总体而言,模式对500 hPa高度场气候态的模拟效果最好,而对850 hPa经向风的模拟效果较差。(2)模式基本上能抓住近40年来东亚地区冬季500 hPa高度场的主要变化特征,但基本上不能模拟出冬季海平面气压、850 hPa纬向风和经向风的变化特征。此外,模式对阿留申低压、蒙古高压和东亚冬季风强度的变化特征几乎没有模拟能力。     

CMIP5模式对北极涛动的模拟评估

基于国际耦合模式比较计划第五阶段(CMIP5)历史试验(historical)的输出结果,评估了26个耦合模式对北极涛动(AO)的模拟能力。对各模式逐月AO指数序列的功率谱分析表明,有23个模式能够模拟出AO模态无显著变化周期的特征。这些模式也能够较好地再现冬季AO在海平面气压场上的主要分布特征,但均高估了AO模态的强度。对于伴随着冬季AO位相变化而出现的中高纬度偶极型的纬向平均纬向风异常,CMIP5中只有一些模式有较好的模拟表现,大多数模式对其中心位置和强度的模拟存在明显不足。对比之下,MPI-ESM-P对AO时空特征的模拟更接近观测结果。     

BCC_CSM北极海冰模拟性能的改进对东亚冬季气候模拟的影响

国家气候中心气候系统模式(BCC_CSM)将美国Los Alamos国家实验室发展的海冰模式CICE5.0替代原有的海冰模式SIS,形成一个新版本耦合模式,很好地提高了模式对北极海冰和北极气候的模拟能力。在此基础上,本文评估新耦合模式对1985—2014年东亚冬季气候的模拟性能,检验北极海冰模拟性能的改进对东亚冬季气候模拟性能的影响。结果表明,引入CICE5.0后,新耦合模式能较好地模拟出东亚冬季海平面气压、850 hPa风场以及辐射通量,进而改善东亚气温以及降水的气候态空间分布模拟效果。进一步分析发现,与原有耦合模式相比,新耦合模式更好地抓住了东亚冬季海平面气压、总降水量和气温异常对同期巴伦支海-喀拉海海冰密集度异常的响应,进而提高了模式对东亚冬季中高纬度地区气温以及降水变率的模拟能力。     

中国气候变化的研究

总结了近10余年对中国气候变化的研究,重点对不同时间尺度的气温变化进行了分析.讨论了大暖期千年尺度气候振荡,中世纪暖期、小冰期及现代气候变暖等问题.     

气候系统模式FGOALS_gl模拟的赤道太平洋年际变率

本文分析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 (LASG/IAP) 发展的气候系统模式FGOALS_gl对赤道太平洋年际变率的模拟能力。结果表明, FGOALS_gl可以较好地模拟出赤道太平洋SST异常年际变率的主要特征, 但模拟的ENSO事件振幅偏大, 且变率周期过于规则。耦合模式模拟的气候平均风应力在热带地区比ERA40再分析资料的风应力强度偏弱30%左右, 由此引起的海洋平均态的变化, 是造成模拟的ENSO振幅偏强的主要原因。FGOALS_gl模拟的ENSO峰值多出现在春季或夏季, 原因可归之于模式模拟的SST季节循环偏差。耦合模式可以合理再现ENSO演变过程, 但观测中SST异常的东传特征在模式中没有得到再现, 这与模拟的ENSO发展模态表现为单一的 “SST模态” 有关。模拟的ENSO位相转换机制与 “充电—放电” 概念模型相符合, 赤道太平洋热含量的变化是维持ENSO振荡的机制。在ENSO暖位相时期, 赤道中东太平洋与印度洋—西太平洋暖池区的海平面气压距平型表现为南方涛动型 (SO型), 200 hPa位势高度分布表现为太平洋—北美遥相关型 (PNA型)。     

Interannual Climate Variability Change during the Medieval Climate Anomaly and Little Ice Age in PMIP3 Last Millennium Simulations

In this study, we analyzed numerical experiments undertaken by 10 climate models participating in PMIP3(Paleoclimate Modelling Intercomparison Project Phase 3) to examine the changes in interannual temperature variability and coefficient of variation(CV) of interannual precipitation in the warm period of the Medieval Climate Anomaly(MCA) and the cold period of the Little Ice Age(LIA). With respect to the past millennium period, the MCA temperature variability decreases by 2.0% on average over the globe, and most of the decreases occur in low latitudes. In the LIA, temperature variability increases by a global average of 0.6%, which occurs primarily in the high latitudes of Eurasia and the western Pacific. For the CV of interannual precipitation, regional-scale changes are more significant than changes at the global scale, with a pattern of increased(decreased) CV in the midlatitudes of Eurasia and the northwestern Pacific in the MCA(LIA). The CV change ranges from-7.0% to 4.3%(from -6.3% to 5.4%), with a global average of -0.5%(-0.07%) in the MCA(LIA).Also, the variability changes are considerably larger in December–January–February with respect to both temperature and precipitation.     

Evaluation of CMIP5 Earth System Models in Reproducing Leaf Area Index and Vegetation Cover over the Tibetan Plateau

The abilities of 12 earth system models (ESMs) from the Coupled Model Intercomparison Project Phase5 (CMIP5) to reproduce satellite-derived vegetation biological variables over the Tibetan Plateau (TP) were examined. The results show that most of the models tend to overestimate the observed leaf area index (LAI) and vegetation carbon above the ground, with the possible reasons being overestimation of photosynthesis and precipitation. The model simulations show a consistent increasing trend with observed LAI over most of the TP during the reference period of 1986-2005, while they fail to reproduce the downward trend around the headstream of the Yellow River shown in the observation due to their coarse resolutions. Three of the models: CCSM4, CESM1-BGC, and NorESM1-ME, which share the same vegetation model, show some common strengths and weaknesses in their simulations according to our analysis. The model ensemble indicates a reasonable spatial distribution but overestimated land coverage, with a significant decreasing trend (-1.48% per decade) for tree coverage and a slight increasing trend (0.58% per decade) for bare ground during the period 1950-2005. No significant sign of variation is found for grass. To quantify the relative performance of the models in representing the observed mean state, seasonal cycle, and interannual variability, a model ranking method was performed with respect to simulated LAI. INMCM4, bcc-csm-1.1m, MPI-ESM-LR, IPSL CM5A-LR, HadGEM2-ES, and CCSM4 were ranked as the best six models in reproducing vegetation dynamics among the 12 models.     

Interannual Climate Variability of the Past Millennium from Simulations

The interannual variability of global temperature and precipitation during the last millennium is analyzed using the results of ten coupled climate models participating in the Paleoclimate Modelling Intercomparison Project Phase 3. It is found that large temperature(precipitation) variability is most dominant at high latitudes(tropical monsoon regions), and the seasonal magnitudes are greater than the annual mean. Significant multi-decadal-scale changes exist throughout the whole period for the zonal mean of both temperature and precipitation variability, while their long-term trends are indistinctive. The volcanic forcings correlate well with the temperature variability at midlatitudes, indicating possible leading drivers for the interannual time scale climate change.     

Slow and Intraseasonal Modes of the Boreal Winter Atmospheric Circulation Simulated by CMIP5 Models

Abstract The authors evaluate the performance of models from Coupled Model Intercomparison Project Phase 5（CMIP5）in simulating the historical（1951-2000）modes of interannual variability in the seasonal mean Northern Hemisphere（NH）500 hPa geopotential height during winter（December-January-February,DJF）.The analysis is done by using a variance decomposition method,which is suitable for studying patterns of interannual variability arising from intraseasonal variability and slow variability（time scales of a season or longer）.Overall,compared with reanalysis data,the spatial structure and variance of the leading modes in the intraseasonal component are generally well reproduced by the CMIP5 models,with few clear differences between the models.However,there are systematic discrepancies among the models in their reproduction of the leading modes in the slow component.These modes include the dominant slow patterns,which can be seen as features of the Pacific-North American pattern,the North Atlantic Oscillation/Arctic Oscillation,and the Western Pacific pattern.An overall score is calculated to quantify how well models reproduce the three leading slow modes of variability.Ten models that reproduce the slow modes of variability relatively well are identified.     

Revisiting Mid-Holocene Temperature over China Using PMIP3 Simulations

Using the simulations performed by 15 cli mate models under the latest protocol of the Paleoclimate Modeling Intercomparison Project(PMIP)Phase 3(PMIP3),the authors revisited the annual and seasona temperature changes over China during the mid-Holocene Similar to the previous results produced by PMIP Phase 1(PMIP1)and 2(PMIP2)models,14(15)of the 15 PMIP3models reproduced colder annual(boreal winter and spring)temperature in response to mid-Holocene insola tion changes,with an average cooling of 0.33 K(1.31 K and 1.58 K)over China.The mid-Holocene boreal sum mer(autumn)temperature increased in all(13)of the 15PMIP3 models,with an average warming of 1.02 K(0.61K)at the national scale.Those changes simulated by the PMIP3 models were similar to those from the PMIP2simulations but generally weaker than those from the PMIP1 models.A considerable mismatch still existed between the simulated cooling by the PMIP3 models and the reconstructed warming for annual and winter tem peratures over China during the mid-Holocene,as wa also the case between the previous PMIP1/2 simulation and proxy data.     

Regional-scale surface air temperature and East Asian summer monsoon changes during the last millennium simulated by the FGOALS-gl climate system model

The spatial patterns and regional-scale surface air temperature （SAT） changes during the last millennium,as well as the variability of the East Asian summer monsoon （EASM） were simulated with a low-resolution version of Flexible Global Ocean-Atmosphere-Land-Sea-ice （FGOALS-gl） model.The model was driven by both natural and anthropogenic forcing agents.Major features of the simulated past millennial Northern Hemisphere （NH） mean SAT variations,including the Medieval Climate Anomaly （MCA）,the Little Ice Age （LIA） and the 20th Century Warming （20CW）,were generally consistent with the reconstructions.The simulated MCA showed a global cooling pattern with reference to the 1961-90 mean conditions,indicating the 20CW to be unprecedented over the last millennium in the simulation.The LIA was characterized by pronounced coldness over the continental extratropical NH in both the reconstruction and the simulation.The simulated global mean SAT difference between the MCA and LIA was 0.14°C,with enhanced warming over high-latitude NH continental regions.Consistencies between the simulation and the reconstruction on regional scales were lower than those on hemispheric scales.The major features agreed well between the simulated and reconstructed SAT variations over the Chinese domain,despite some inconsistency in details among different reconstructions.The EASM circulation during the MCA was stronger than that during the LIA The corresponding rainfall anomalies exhibited excessive rainfall in the north but deficient rainfall in the south.Both the zonal and meridional thermal contrast were enhanced during the MCA.This temperature anomaly pattern favored a stronger monsoon circulation.     

Maintenance of PDO variability during the mid-holocene in PMIP2

Using the Paleoclimate Modeling Intercomparison Project Phase 2 (PMIP2), we investigate Pacific Decadal Oscillation (PDO) variability during the Mid-Holocene (6,000 years ago), especially maintenance of the PDO variability during the mid-Holocene despite reduced El Nino-Southern Oscillation (ENSO) activity. Most of the models participating PMIP2 identified the reduced ENSO activity during the mid-Holocene, but essentially little difference in PDO variability between the pre-industrial and mid-Holocene periods. Through multiple regression and partial correlation analysis, we found that the influence of the ENSO on the PDO was reduced due to reduced ENSO activity, but that the influence of local atmospheric circulation (Aleutian Low; AL) was enhanced during the mid-Holocene even though the variability of AL itself did not change much between the mid-Holocene and the present. That is, the reduction in PDO activity due to the weaken ENSO is offset by the enhanced PDO attributable to the intensified influence of the AL. As a result, the PDO variability during the mid-Holocene was as active as that during the pre-industrial era.     

CMIP5模式对春季北极涛动影响后期冬季ENSO不对称性的模拟能力分析

根据观测资料的研究指出春季北极涛动(Arctic Oscillation, AO)对随后冬季厄尔尼诺-南方涛动(El Nino–Southern Oscillation, ENSO)的影响具有明显不对称性。春季AO处于正位相时,它对随后冬季厄尔尼诺(El Nino)事件的影响显著,然而春季AO负位相对随后冬季拉尼娜(La Nina)的影响不明显。本研究分析了30个来自CMIP5的耦合模式对春季AO与随后冬季ENSO不对称性关系的模拟能力。30个CMIP5耦合模式中,只有CNRM-CM5和GISS-E2-H-CC模式能较好地抓住春季AO与冬季ENSO的联系。进一步分析这两个模式中春季AO与冬季ENSO的不对称性关系,发现CNRM-CM5模式能较好地再现春季AO与冬季ENSO的非对称关系,即春季AO正(负)位相会导致赤道中东太平洋出现El Nino(La Nina)型海表温度增暖(冷却)。然而,GISS-E2-H-CC模式的模拟结果显示,春季AO对随后冬季ENSO的影响是对称的。本文随后解释了CNRM-CM5(GISS-E2-H-CC)模式能(不能)模拟出春季AO与冬季ENSO不对称关系的原因。对于CNRMCM5模式,在春季AO正位相年,副热带西北太平洋上空存在明显的异常气旋和正降水异常,正降水异常通过Gill型大气响应对赤道西太平洋异常西风的形成和维持起着重要作用,异常西风通过激发向东传播的暖赤道Kelvin波对随后冬季El Nino事件的发生产生显著的影响;然而,在春季AO负位相年,副热带北太平洋的异常反气旋和负降水异常较弱,导致赤道西太平洋的异常东风不明显,因此,春季AO负异常对随后冬季La Nina的影响不显著。所以,CNRM-CM5模式能够较好地抓住春季AO对随后冬季ENSO事件的非对称性影响。相比之下,对于GISS-E2-H-CC模式,春季AO正(负)位相年副热带西北太平洋上存在显著的正(负)降水异常,通过Gill型大气响应在赤道西太平洋激发出明显的异常西(东)风从而影响随后冬季的El Nino(La Nina)事件。因此,在GISS-E2-H-CC模式中,春季AO对随后冬季ENSO具有对称性影响。另外,模式捕捉春季AO对随后冬季ENSO非对称性影响的能力与模式对春季AO空间结构的模拟能力有一定的联系。     

Examinations of cloud variability and future change in the coupled model intercomparison project phase 3 simulations

Low-level cloud variability is critical to the radiation balance of Earth due to its wide spatial coverage. Using the adjusted International Satellite Cloud Climatology Project (ISCCP) observations of Clement et al. (2009), and the Coupled Model Intercomparison Project Phase 3 (CMIP3) model simulations, this study examines the observed and the simulated low-cloud variations and their relationships with large-scale environmental variables. From the observational analysis, significant correlations are found between low clouds and those of sea surface temperature (SST), lower tropospheric stability (LTS), and sea level pressure (SLP) over tropical marine areas of low cloud prevailing regions during most of the year. Increase of SST coincides with the reduction of LTS and increased vertical motion, which tends to reduce low-level clouds in subtropical oceans. Among the 14 models investigated, CGCM3 and HadGEM1 exhibit more realistic representation of the observed relationship between low-level clouds and large-scale environments. In future climate projection, these two models show a good agreement in the reduction of low-cloud throughout much of the global oceans in response to greenhouse gas forcing, suggesting a positive low-cloud feedback in a climate change context.