Subseasonal transition of Barents-Kara sea-ice anomalies in winter related to the reversed warm Arctic-cold Eurasia pattern

“暖北极-冷欧亚”模态(WACE)的次季节反转会触发中国东部冬季的极端冷/暖转换以及春季沙尘暴.在这一显著的高纬度大气模态反转的驱动下,巴伦支海-喀拉海(BKS)的海冰异常也表现出次季节转换.当北极变暖以及乌拉尔山高压增强时,BKS异常向下的湍流热通量和增强的向下红外辐射有利于海冰融化;近地面的异常偏南风使海冰从薄冰区向多年冰区漂移,进一步扩大了开阔洋面.相反的机制出现在WACE反位相,导致BKS海冰异常偏多.当WACE次季节反转时,上述机制分别发生在前冬和后冬,使得BKS海冰异常出现显著的次季节转换.近10年随着WACE反转频率增多,BKS海冰前后冬的次季节变化增强.本文构建了WACE次季节反转的综合示意图,有助于更好地理解和预测中国东部极端气候.     

Multi-criterion model ensemble of CMIP5 surface air temperature over China

Theoretical and Applied Climatology - The global circulation models (GCMs) are useful tools for simulating climate change, projecting future temperature changes, and therefore, supporting the...     

Narrowing the surface temperature range in CMIP5 simulations over the Arctic

Theoretical and Applied Climatology - Much uncertainty exists in reproducing Arctic temperature using different general circulation models (GCMs). Therefore, evaluating the performance of GCMs in...     

基于CMIP5多模式回报资料的地面气温超级集合研究

利用CMIP5的15个全球气候系统模式对东亚及周边地区(70~150°E,0°~60°N)地面气温的回报结果进行超级集合(简称SUP)试验,以欧洲中期天气预报中心ERA逐月气温资料作为观测值,并采用均方根误差(RMSE)、距平相关系数(ACC)、绝对误差(MAE)对多模式集合平均(EMN)以及超级集合(SUP)的回报结果进行检验和评估。结果表明,超级集合回报结果一定程度上取决于训练期的长度。随训练期长度的增加,距平相关系数呈增大的趋势,均方根误差呈减小的趋势,但训练期达到一定长度后,误差不再有明显的减小,甚至出现误差增长。15个全球气候系统模式对东亚及周边地区的地面气温具有一定的回报能力,可以较好地回报出地面气温的年际变化和空间分布,海洋上回报的均方根误差小于陆地。但不同模式回报的结果不尽相同,在单模式中CCSM4对地面气温的回报效果最好。多模式集成的回报效果优于单模式的回报效果,SUP的回报效果优于EMN,其区域平均的均方根误差比多模式集合平均小0.43℃,超级集合极大地改善了地面气温的回报效果。     

Internal variability in multidecadal trends of surface air temperature over antarctica in austral winter in model simulations

The surface air temperature (SAT) exhibits pronounced warming over West Antarctica in recent decades, especially in austral spring and winter. Using a 30-member ensemble of simulations by Community Earth System Model (CESM), two reanalysis datasets, and observed station data, this study investigates the relative contributions of internally generated low-frequency climate variability and externally forced climate change to the austral winter SAT trend in Antarctica. Although these simulations share the same external forcing, the SAT trends during 1979–2005 show large diversity among the individual members in the CESM ensemble simulations, suggesting that internally generated variability contributes a considerable part to the multidecadal SAT change in Antarctica. Quantitatively, the total forced contribution to the SAT (1979–2005) change is about 0.53 k/27 yr, and the internal variability can be strong enough to double or cancel the externally forced warming trend. A method called “dynamical adjustment” is utilized to further divide the forced response. We find both the forced thermodynamically-induced and the forced dynamically-induced SAT trends are positive over all the regions in Antarctica, with the regional mean values of 0.20 k /27 yr and 0.33 k/27 yr, respectively. The diversity of SAT trends among the simulations is closely linked to a Southern hemisphere Annular Mode (SAM)-like atmospheric circulation multidecadal change in the Southern Hemisphere. When there exists a positive–negative seesaw of pressure trend between Antarctica and the mid-latitudes, the SAT trend is positive over most of Antarctica but negative over the Antarctic Peninsula, and vice versa. The SAM-like atmospheric circulation multidecadal change mainly arises from atmospheric internal variability rather than remote tropical Sea Surface Temperature (SST).

     

The Prediction of winter surface air temperature

The author investigates the prediction of Northeast China’s winter surface air temperature (SAT),and first forecast the year to year increment in the predic-tand and then predict the predictand.Thus,in the first step,we determined the predictors for an increment in winter SAT by analyzing the atmospheric variability associated with an increment in winter SAT.Then,multi-linear re-gression was applied to establish a prediction model for an increment in winter SAT in Northeast China.The pre-diction model shows a high correlation coefficient (0.73) between the simulated and observed annual increments in winter SAT in Northeast China throughout the period 1965-2002,with a relative root mean square error of -7.9%.The prediction model makes a reasonable hindcast for 2003-08,with an average relative root mean square error of -7.2%.The prediction model can capture the in-creasing trend of winter SAT in Northeast China from 1965-2008.The results suggest that this approach to forecasting an annual increment in winter SAT in North-east China would be relevant in operational seasonal forecasts.     

CMIP5多模式对东亚地区地面气温年际变率的回报研究

对CMIP5全球气候模式中年代际回报试验的气温资料及其简单集合平均(Multi-model ensemble mean,EMN)和贝叶斯模式平均的结果(Bayesian Model Averaging,BMA)进行经验正交函数(Empirical Orthogonal Function,EOF)分解和Morlet小波分析,检验评估各个模式及其EMN和BMA对东亚地面气温的方差、气温时空分布特征及周期变化的回报能力。结果表明,10个模式、EMN、BMA都能很好地回报出1981—2010年东亚地面气温的方差分布,其中BMA回报效果最好。EOF分析表明,BMA能较好地回报出东亚地面气温第一模态的时空分布。MIROC5能较好地回报出第二模态的趋势变化,但却不能回报出气温的年际变率。绝大多数模式和EMN、BMA虽然能回报出东亚地面气温的变化趋势,但是对气温年际变率的回报仍然是比较困难的。CMCC-CM对气温变化主模态的3~5 a的周期变化特征回报效果最好,和NCEP资料的结果最为接近。     

Numerical simulations of anomalies of precipitation and surface air temperature in china in the summer of 1997

1.IntroductionStatisticalstudiesdemonstratedthatinEINinoyearstheprecipitationinsummerintheChangjiangRiverandHuaiheRiverBasinsisprobablyabovethenormalwhileitispossiblybelowthenormalinthenorthernChinaandtheHetao(theGreatBendoftheHuangheRiver)region.ThetemperatureinsummerisusuallylowerthannormalinEastAsia,especiallyinNortheastChina.Therewere6yearswithseverelowtemperaturesince1951,andtheyare1954,1957,1964,1972,1976and1983,whichareallrelatedtotheEINinoyears(seeHuangetal.,1989,1992;Xiangand…     

The role of northern Arabian Sea surface temperature biases in CMIP5 model simulations and future projections of Indian summer monsoon rainfall

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.     

Long-term surface air temperature trend and the possible impact on historical warming in CMIP5 models

模式对历史气候变化的模拟往往延用工业革命前控制试验(PICTL)的物理过程及设置,同时使用PICTL的模拟结果作为初值。因此,控制试验(PICTL)中是否存在气候漂移将直接影响模式对全球变暖的模拟。本文评估了27个CMIP5模式模拟的气温长期漂移趋势及其对全球变暖模拟的影响。结果表明,大部分模式模拟的全球平均气温的长期漂移趋势都很小(0.06°C/100 a),但个别模式对于全球变暖的模拟存在较大影响。在50°S~65°S纬度带内的南大洋,40°N以北的北大西洋和北太平洋区域,大部分模式模拟的气温漂移趋势对局地变暖的模拟影响较大(10%~20%)。大气层顶向上长波辐射和向上短波辐射共同影响全球气温的长期变化。另外,积分时间越长,中高纬深层海洋得到有效调整,气温的长期漂移趋势越小。本文量化了气候漂移,检验了模式的稳定性,这有助于评估模式对全球变暖的模拟能力。     

CMIP6全球气候模式对中国极端降水模拟能力的评估及其与CMIP5的比较

对CMIP6全球气候模式在中国地区极端降水的模拟能力进行了综合评估.基于CN05.1观测数据集和32个CMIP6全球气候模式的降水数据,采用8个常用极端降水指数对极端降水进行了定量描述.研究结果表明,在极端降水的气候平均态方面,CMIP6多模式集合对1961—2005年中国地区区域平均的8个极端降水指数模拟的平均相对误...     

Decadal prediction skill for Eurasian surface air temperature in CMIP6 models

评估CMIP6年代际预测试验对季节平均SAT的预测技巧的结果表明:模式不能有效预测冬季和秋季SAT的年代际变率.IPSL-CM6A-LR和多模式集合平均对于春季SAT展现了预测技巧,其中对于变率的预测技巧好于振幅的结果.基于蒙古和我国华北地区的显著预测技巧,模式对于夏季SAT表现出最佳的预测水平.与外部强迫相比,模式对于SAT的预测技巧可能来自初始化.模式中的一个明显系统性误差值得注意,即模式中冬季SAT的变率可以持续到其他季节,而在观测中其他季节的SAT变化与冬季SAT相对独立.     

CMIP5全球气候模式对贵州省极端气温的预估

利用泰勒图客观地评估了贵州省在参照时段1986—2005年8个CMIP5模式试验结果对气温的模拟能力,并采用在等权重系数条件下的集合平均结果计算了贵州省21世纪不同阶段不同情景下未来极端气温指数.研究表明：8个模式的集合平均的模拟效果能较好地模拟用于计算极端气温指数的基础数据,包括日平均气温、日最低气温和日最高气温.根据集合平均的结果,不同RCPs排放情景下21世纪贵州省相对于基准期大于25℃的高温日数（SU）、最低气温的最低值（TNN）和生长季长度（GSL）均表现为增加的趋势,而小于0℃的霜冻日数（FD）则呈现减少的趋势,排放越高,增加或减少的趋势越明显.RCP8.5、RCP4.5和RCP2.6情景下2006—2099年贵州省极端气温指数相对于1986—2005年SU、TNN、FD和GSL的变化速率分别为8.06~1.30 d／（10 a）、0.49~0.07℃／（10 a）、-4.99~-0.97 d／（10 a）和3.33~0.04 d／（10 a）.     

Uncertainty in land surface temperature simulation over China by CMIP3/CMIP5 models

In this paper, China-based observations are used to evaluate the performance of 24 CMIP3 (phase 3 of the Coupled Model Intercomparison Project) and 10 CMIP5 models in simulating land surface temperature (LST). It is found that all models can generally reproduce the climatology patterns of LST averaged during the period from 1960 to 1999. Further analyses of the regional features of LST show that the discrepancies between the observations and the simulations are smaller in Southwest and East China. Moreover, these models overestimate the temperatures in almost all areas, particularly in July. Although many models have large biases relative to the observations, the spread of the model results is large (i.e., >22 °C in Northwest and Northeast China). For the interannual variations, neither the individual models nor the multi-model mean has a remarkable positive correlation to the observations in the selected subregions. However, most models can capture geographic features during trend evaluations. A multi-model ensemble is believed to be an effective way to limit uncertainties, but the results suggest that its efficiency is restricted to simulating the LST trend. Examination of the surface energy budget indicated that the modeled discrepancies of net shortwave radiation and surface sensible heat flux may be responsible for the LST results, especially in July. It is concluded that the ability of current models in simulating LST over China is still a significant challenge. The spread of the models is large in simulating the climatology, interannual variation, and trend of LSTs. In general, the magnitudes of the spread may be as large as the magnitudes of the observations. Additionally, it is found that multi-model ensembles do not simulate LST with any more skill. Therefore, more work must focus on the limitations of the models' uncertainties in land surface research.     

CMIP5模式对太阳活动准11年周期激发类拉尼娜型海温的评估

利用24个第五次耦合模式比较计划(Coupled Model Intercomparison Project Phase 5,CMIP5)历史试验资料,本文评估了在太阳年代际尺度准11 a周期变化下能否激发出热带太平洋显著的类拉尼娜型海表温度异常的模拟能力。再分析资料分析结果表明,“自下而上”机制解释了在太阳强迫偏强的年份,热带太平洋更容易呈现出显著的类拉尼娜型海温异常。CMIP5模式的评估结果显示,有2/5的模式可以基本再现再分析资料中太阳强迫影响下的热带东太平洋海温负异常,这些模式分为类拉尼娜组;而另有3/5的模式模拟出了相反的信号,分为类厄尔尼诺组。为了进一步探讨CMIP5模式模拟能力不同的原因,本文分析了“自下而上”机制在模式中的表现。“自下而上”机制可分为蒸发过程和海洋恒温(thermostat)过程。结果表明,模式能否模拟出类拉尼娜型海温响应取决于thermostat过程的强弱,其中类拉尼娜组的thermostat过程更强;而蒸发过程没有起到关键作用。     

Assessment of aerosol effective radiative forcing and surface air temperature response over eastern China in CMIP5 models

气溶胶有效辐射强迫是评估气溶胶气候效应的有效指标。本文利用国际耦合模式比较计划(CMIP5)中7个模式的模拟结果,评估了模式对东亚地区气溶胶光学厚度和有效辐射强迫的模拟水平,并分析了东亚地区平均地表温度对局地人为气溶胶强迫的响应。研究结果显示,大部分模式低估了中国东部和西南部污染地区的气溶胶光学厚度,这可能与模式中气溶胶局地排放、化学过程以及模式分辨率有关;多模式平均的东亚地区气溶胶有效辐射强迫为.4.14 W m.2,气溶胶在东亚地区有明显的降温效应,1850–2005年气溶胶浓度增加使得东亚地区降温.1.05°C。     

Evaluation of CMIP5 dynamic sea surface height multi-model simulations against satellite observations

We evaluate the representation of dynamic sea surface height (SSH) fields of 33 global coupled models (GCMs) contributed to the fifth phase of the Coupled Model Intercomparison Project (CMIP5). We use observations from satellite altimetry and basic performance metrics to quantify the ability of the GCMs to replicate observed SSH of the time-mean, seasonal cycle, and inter-annual variability patterns. The time-mean SSH representation has markedly improved from CMIP3 to CMIP5, both in terms of overall reduction in root-mean square differences, and in terms of reduced GCM ensemble spread. Biases of the time-mean SSH field in the Indian and Pacific Ocean equatorial regions are consistent with biases in the zonal surface wind stress fields identified with independent measurements. In the Southern Ocean, the latitude of the maximum meridional gradient of the zonal mean SSH CMIP5 models is shifted equatorward, consistent with the GCMs’ spatial biases in the maximum of the zonal mean westerly surface wind stress fields. However, while the Southern Ocean SSH gradients correlate well with the maximum Antarctic circumpolar current transports, there is no significant correlation with the maximum zonal mean wind stress amplitudes, consistent with recent findings that the eddy parameterisations in GCMs dominate over wind stress amplitudes in this region. There is considerable spread across the CMIP5 ensemble for the seasonal and interannual SSH variability patterns. Because of the short observational period, the interannual variability patterns depend on the time-period over which they are derived, while no such dependency is found for the time-mean patterns. The model performance metrics for SSH presented here provide insight into GCM shortcoming due to inadequate model physics or processes. While the diagnostics of CMIP5 GCM performance relative to observations reveal that some models are clearly better than others, model performance is sensitive to the spatio-temporal scales chosen.