共查询到17条相似文献，搜索用时 484 毫秒
1.
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。 相似文献
2.
以美国国家海洋和大气局-环境科学协作研究所(NOAA-CIRES)二十世纪大气再分析数据集第二套c版(Twentieth-Century Reanalysis Dataset Version 2c;20CR V2c)资料所提取的二十世纪北太平洋大气环流模态作为观测参考值,利用泰勒图方法与谱分析方法,分别对太平洋北美型遥相关(Pacific-North America Teleconnection;PNA)与北太平洋涛动(North Pacific Oscillation;NPO)模态在国际耦合模式比较计划第三阶段(Coupled Model Intercomparison Project Phase 3;CMIP3)与CMIP5两套多模式数据集合中的表现进行了从空间型到时间周期的综合评估与对比分析工作,并对PNA的4个异常中心以及NPO的2个偶极子进行简化命名。评估结果表明:整体上CMIP5模式对PNA与NPO的空间型模拟能力要优于CMIP3模式,80%的CMIP5模式都能很好的体现与观测PNA/NPO模态相近的空间分布与振幅,而CMIP3模式只能达到约60%。在模式模拟优秀率上,CMIP5也远高CMIP3约10%。在使用谱分析方法对两套资料对时间模拟能力评估结果表明:CMIP5相比于CMIP3并没有太大的进步,整体合格率与CMIP3持平。其中大部分模式能够很好的模拟出同观测一致的PNA 1~2年和4~6年的年际周期,对其20~25年的年代际周期的模拟相对较差;而对NPO来说,更多模式的功率峰值都在1~2年周期上,而且只有约一半模式能够体现与观测相同的2~4年周期。 相似文献
3.
利用第五次和第六次国际间耦合模式比较计划(coupled model intercomparison project, CMIP)中全球气候模式的历史时期和未来增暖情景模拟结果,结合观测资料,文章对比评估了23个CMIP6模式和32个CMIP5模式对El Ni?o多样性的模拟能力,并预估了东部(eastern Pacific, EP)型和中部(central Pacific, CP)型El Ni?o对未来全球变暖的响应特征。结果表明,绝大多数CMIP5/6气候模式能够合理地模拟El Ni?o的多样性特征,且CMIP6多模式的模拟性能较CMIP5有明显提升。CMIP6模式不仅减弱了EP型El Ni?o空间模态模拟的离散性,而且还显著提高了CP型El Ni?o空间模态的模拟能力; CMIP5/6多模式基本能够模拟出两类El Ni?o的季节锁相性特征,但CP型El Ni?o衰亡时间较观测明显滞后3个月;同时CMIP5/6多模式模拟的EP型El Ni?o强度与观测值较为接近,但CP型El Ni?o的振幅却强于观测。在未来全球变暖背景下, CP型ElNi?o事件的发生频率相对于EP型事件将趋于降... 相似文献
4.
利用美国国家环境预报中心和美国大气科学研究中心(NCEP/NCAR)的逐日再分析资料,评估了耦合模式比较计划第五阶段(The fifth Phase of the Coupled Model Intercomparison Project,简称CMIP5)17个气候模式对于20世纪北半球夏季气候态阻塞频数和振幅的模拟能力,从线性趋势和年际变化2方面评估了欧亚3个关键区(欧洲区、乌拉尔山区和鄂霍次克海区)夏季阻塞频数的模拟能力。结果表明:(1)尽管模式对北半球夏季阻塞频数和振幅的模拟结果存在偏差,但大部分模式可以很好模拟出气候态特征,模式对频数的模拟结果略优于振幅;无论频数或者振幅,CanESM2均为17个气候模式中模拟效果最好的,CMCC-CESM和MIROC-ESM为模拟效果最差的,多模式集成的结果优于大部分单一模式。(2)大多数模式可以较好的模拟出欧亚3个关键区夏季平均阻塞频数和标准差,但对阻塞频数线性趋势和年际变化特征的模拟能力有限。 相似文献
5.
CMIP5模式对中国近海海表温度的模拟及预估 总被引：2，自引：0，他引：2
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。 相似文献
6.
南太平洋副热带偶极子模式模拟评估 总被引：1，自引：1，他引：0
为研究模式模拟南太平洋副热带偶极子的能力,本文利用CMIP5(CoupledModel IntercomparisonProjectPhase5)模式的模拟数据评估了15种模式模拟南太平洋副热带偶极子(South Pacific Subtropical Dipole, SPSD)时空分布的效果,并予以评分。结果表明:其中10种模式可以模拟出完整的SPSD生成发展过程,且SPSD的主要区域与观测较为接近,但其余5种模式在模拟强度、位置与观测有较大出入;所有模式在模拟SPSD生成阶段时比观测提前一个月出现偶极模态,1/4的模式海表面温度(sea surface temperature, SST)偶极异常可以追溯到6个月之前;潜热通量与SST的时空分布显示,潜热通量是影响偶极模态生成发展的主要因素。模态的变化主要受大气环流的调制,在模态发展最强时部分模式的正极上方有正潜热通量异常,即海洋向大气传递热量。分析显示模式模拟海气耦合过程中的SST模拟强度较观测偏强,气压方面与观测较为接近。 相似文献
7.
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。 相似文献
8.
基于参与第六次耦合模式比较计划（CMIP6）的8个地球系统耦合模式所输出的历史模拟结果,本文通过与观测对比,评估了CMIP6模式对东南印度洋亚南极模态水的模拟能力,并预估了在中等强迫情景和高强迫情景下,该模态水潜沉率、体积及性质的变化趋势。结果表明:与Argo观测相比,CMIP6模式中南印度洋混合层偏深且上层海洋的位势密度偏小,因此其模拟的东南印度洋亚南极模态水潜沉率偏大而位势密度偏小。不同CMIP6模式之间模拟的东南印度洋亚南极模态水潜沉区存在差异,混合层侧向输入是导致这一差异的主要原因。此外,在历史模拟和两种情景试验中,东南印度洋亚南极模态水均呈现出潜沉率和体积减小、温度升高、盐度和密度降低的趋势。其中,在高强迫情景下,变化趋势最大,中等强迫情景次之,历史模拟中的变化趋势最小。这表明,辐射强迫越强,东南印度洋海表温度升高和淡水输入增加的趋势越大,导致混合层变浅及其南北梯度减小的趋势越快,东南印度洋亚南极模态水潜沉率、体积和性质变化的趋势也随之增大。 相似文献
9.
BCC_CSM对北极海冰的模拟:CMIP5和CMIP6历史试验比较 总被引：1，自引：1，他引：0
本文利用北京气候中心气候系统模式(BCC_CSM)在最近两个耦合模式比较计划(CMIP5和CMIP6)的历史试验模拟结果，对北极海冰范围和冰厚的模拟性能进行了比较，结果表明:(1) CMIP6改善了CMIP5模拟海冰范围季节变化过大的问题，总体上更接近观测结果；(2)两个CMIP试验阶段中BCC_CSM模拟的海冰厚度都偏小，但CMIP6试验对夏季海冰厚度过薄问题有所改进。通过对影响海冰生消过程的冰面和冰底热收支的分析，我们探讨了上述模拟偏差以及CMIP6模拟结果改善的成因。分析表明，8?9月海洋热通量、向下短波辐射和反照率对模拟结果的误差影响较大，CMIP6试验在这些方面有较大改善；而12月至翌年2月，CMIP5模拟的北极海冰范围偏大主要是海洋热通量偏低所导致，CMIP6模拟的海洋热通量较CMIP5大，但北大西洋表层海流的改善才是巴芬湾附近海冰外缘线位置改善的主要原因。CMIP试验模拟的夏季海冰厚度偏薄主要是因为6?8月海洋热通量和冰面热收支都偏大，而CMIP6试验模拟的夏季海冰厚度有所改善主要是由于海洋热通量和净短波辐射的改善。海冰模拟结果的改善与CMIP6海冰模块和大气模块参数化的改进有直接和间接的关系，通过改变短波辐射、冰面反照率和海洋热通量，使BCC_CSM模式对北极海冰的模拟性能也得到有效提高。 相似文献
10.
太平洋沃克环流(Pacific Walker Circulation, PWC)是热带太平洋上空至关重要的大气环流系统, 但其在全球变暖背景下的长期变化仍存在争议, 换而言之, 沃克环流增强或减弱仍是有待回答的科学问题之一。观测表明近30年PWC呈增强趋势, 而气候模式无法得出观测的趋势。文章分析了参加第五次耦合模式比较计划(Coupled Model Inter-comparison Project Phase 5, CMIP5)的18个耦合模式模拟的PWC变化。结果表明, 大部分耦合模式能够较好地再现PWC的气候态分布特征, 但不能给出其加强的趋势。究其原因, 主要取决于模式对海表温度(SST)变化的模拟能力, 能模拟出PWC加强的耦合模式, 其模拟的SST趋势分布与观测相近[即类拉尼娜(La Niña)型], 但仍存在一定差异; 而模拟出PWC减弱的耦合模式, 其模拟的SST趋势分布表现为类厄尔尼诺(El Niño)型, 这与观测不符。对于后者, 如果用观测的SST驱动其大气模式却能够模拟出PWC的加强, 从另一方面也说明了SST变化对于PWC长期变化的主导作用。因此, CMIP5模式要想合理地预估PWC在全球变暖背景下的变化, 需要提高对于热带太平洋SST变化的模拟能力。 相似文献
11.
Seventeen models participating in the Coupled Model Intercomparison Project phase 5（CMIP5） activity are compared on their historical simulation of the South China Sea（SCS） ocean heat content（OHC） in the upper 300 m. Ishii＇s temperature data, based on the World Ocean Database 2005（WOD05） and World Ocean Atlas 2005（WOA05）, is used to assess the model performance by comparing the spatial patterns of seasonal OHC anomaly（OHCa） climatology, OHC climatology, monthly OHCa climatology, and interannual variability of OHCa. The spatial patterns in Ishii＇s data set show that the seasonal SCS OHCa climatology, both in winter and summer, is strongly affected by the wind stress and the current circulations in the SCS and its neighboring areas. However, the CMIP5 models present rather different spatial patterns and only a few models properly capture the dominant features in Ishii＇s pattern. Among them, GFDL-ESM2 G is of the best performance. The SCS OHC climatology in the upper 300 m varies greatly in different models. Most of them are much greater than those calculated from Ishii＇s data. However, the monthly OHCa climatology in each of the 17 CMIP5 models yields similar variation and magnitude as that in Ishii＇s. As for the interannual variability, the standard deviations of the OHCa time series in most of the models are somewhat larger than those in Ishii＇s. The correlation between the interannual time series of Ishii＇s OHCa and that from each of the 17 models is not satisfactory. Among them, BCC-CSM1.1 has the highest correlation to Ishii＇s, with a coefficient of about 0.6. 相似文献
12.
This paper is focused on the seasonality change of Arctic sea ice extent(SIE) from 1979 to 2100 using newly available simulations from the Coupled Model Intercomparison Project Phase 5(CMIP5).A new approach to compare the simulation metric of Arctic SIE between observation and 31 CMIP5 models was established.The approach is based on four factors including the climatological average,linear trend of SIE,span of melting season and annual range of SIE.It is more objective and can be popularized to other comparison of models.Six good models(GFDL-CM3,CESM1-BGC,MPI-ESM-LR,ACCESS-1.0,Had GEM2-CC,and Had GEM2-AO in turn) are found which meet the criterion closely based on above approach.Based on ensemble mean of the six models,we found that the Arctic sea ice will continue declining in each season and firstly drop below 1 million km~2(defined as the ice-free state) in September 2065 under RCP4.5 scenario and in September 2053 under RCP8.5 scenario.We also study the seasonal cycle of the Arctic SIE and find out the duration of Arctic summer(melting season) will increase by about 100 days under RCP4.5 scenario and about 200 days under RCP8.5 scenario relative to current circumstance by the end of the 21 st century.Asymmetry of the Arctic SIE seasonal cycle with later freezing in fall and early melting in spring,would be more apparent in the future when the Arctic climate approaches to "tipping point",or when the ice-free Arctic Ocean appears.Annual range of SIE(seasonal melting ice extent) will increase almost linearly in the near future 30–40 years before the Arctic appears ice-free ocean,indicating the more ice melting in summer,the more ice freezing in winter,which may cause more extreme weather events in both winter and summer in the future years. 相似文献
13.
The sea surface temperature(SST) seasonal cycle in the eastern equatorial Pacific(EEP) plays an important role in the El Ni?o–Southern Oscillation(ENSO) phenomenon. However, the reasonable simulation of SST seasonal cycle in the EEP is still a challenge for climate models. In this paper, we evaluated the performance of 17 CMIP6 climate models in simulating the seasonal cycle in the EEP and compared them with 43 CMIP5 climate models. In general, only CESM2 and SAM0-UNICON are able to successfully capture the annual mean SST characteristics,and the results showed that CMIP6 models have no fundamental improvement in the model annual mean bias.For the seasonal cycle, 14 out of 17 climate models are able to represent the major characteristics of the observed SST annual evolution. In spring, 12 models capture the 1–2 months leading the eastern equatorial Pacific region 1(EP1; 5°S–5°N, 110°–85°W) against the eastern equatorial Pacific region 2(EP2; 5°S–5°N, 140°–110°W). In autumn,only two models, GISS-E2-G and SAM0-UNICON, correctly show that the EP1 and EP2 SSTs vary in phase. For the CMIP6 MME SST simulation in EP1, both the cold bias along the equator in the warm phase and the warm bias in the cold phase lead to a weaker annual SST cycle in the CGCMs, which is similar to the CMIP5 results. However,both the seasonal cold bias and warm bias are considerably decreased for CMIP6, which leads the annual SST cycle to more closely reflect the observation. For the CMIP6 MME SST simulation in EP2, the amplitude is similar to the observed value due to the quasi-constant cold bias throughout the year, although the cold bias is clearly improved after August compared with CMIP5 models. Overall, although SAM0-UNICON successfully captured the seasonal cycle characteristics in the EEP and the improvement from CMIP5 to CMIP6 in simulating EEP SST is clear, the fundamental climate models simulated biases still exist. 相似文献
14.
Takahiro Iida Sei-Ichi Saitoh 《Deep Sea Research Part II: Topical Studies in Oceanography》2007,54(23-26):2657
Seasonal and interannual variability of surface chlorophyll concentration in the Bering Sea was examined using Empirical Orthogonal Function (EOF) analysis of data obtained by the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) from 1998 to 2002. The analysis of normalized monthly fields (removing temporal and spatial monthly means) shows that different temporal and spatial patterns are evident in the eastern and western Bering Sea during the spring bloom period. The first EOF mode explains 30% of the variability and shows how the eastern shelf break region and the western Bering Sea are out of phase during the spring bloom. The second EOF mode (17.6%) indicates a pattern involving the eastern shelf break region and the Kamchatka Basin. This strong east–west signal is linked by both surface winds and light. EOF modes of wind-speed anomalies, derived from Special Sensor Microwave Imager (SSM/I), and photosynthetically active radiance (PAR) from SeaWiFS, show a similar dipole feature where the east–west pattern is related to the position and strength of the Aleutian Low pressure system. In years when the Aleutian Low shifts from west to east, weaker wind stress facilitates the development of stratification resulting in a strong spring bloom in the western Bering Sea. The variability of spring chlorophyll has a strong connection with variability in atmospheric forcing in the Bering Sea. 相似文献
15.
春季青藏高原感热通量对不同海区海温强迫的响应及其对我国东部降水的影响 总被引：1，自引：0，他引：1
本文利用在青藏高原适用性较好的ERA-interim地表感热通量资料,研究了1981-2010年青藏高原春季地表感热通量的年际变率与前期不同海区海温强迫的联系,以及这种联系对我国东部降水可能造成的影响。结果表明,春季青藏高原地表感热通量的年际变化有两个主要的模态,分别与前期太平洋以及印度洋海温有密切联系。与冬季ENSO事件相应的赤道中东太平洋海温强迫可以激发一个向极向西的波列,通过改变青藏高原南侧的环流和降水异常,形成一个纬向偶极型分布的高原感热第一模态,其对应的时间序列主要表现为准5 a的振荡,与ENSO事件的周期较为吻合;而春季印度洋的三极型海温分布可以强迫出一个跨越南北半球的波列,使青藏高原主体表现为东风异常,减弱背景西风,从而形成一个青藏高原主体与周围反相关的回字形感热第二模态,其主要呈现5~7 a的振荡周期。ENSO事件以及印度洋海温分布分别与青藏高原春季感热两个主模态相联系,并且冬春季海温与高原春季感热主模态对我国东部春季降水有协同影响,对于我国北方降水异常而言,高原的贡献相对海洋更重要。 相似文献
16.
基于2004—2018年Argo (Array for Real-Time Geostrophic Oceanography)浮标观测的温度、盐度数据, 利用经验正交函数(EOF)分析和小波分析等方法对北印度洋(40°—105°E, 5°S—25°N)障碍层时空分布特征进行分析。结果显示: 北印度洋的东部常年存在障碍层, 而西部障碍层出现的概率相对较低; 较厚的障碍层出现在阿拉伯海东南部(67°—75°E, 3°—12°N)、孟加拉湾(82°—93°E, 11°—20°N)和赤道东印度洋(81°—102°E, 4°S—3°N)。阿拉伯海东南部和孟加拉湾障碍层厚度以年变化为主, 且呈同位相变化, 均为冬季最大, 夏季最小。赤道东印度洋区域则主要呈现半年周期变化, 在夏季和冬季各出现一次峰值。进一步分析表明, 孟加拉湾和赤道东印度洋障碍层厚度主要受等温层深度变化影响, 混合层深度变化对障碍层厚度变化的影响相对较小; 阿拉伯海障碍层厚度同时受等温层深度变化和混合层深度变化影响, 其中等温层深度变化对其影响更大。 相似文献
17.
A three-dimensional numerical model is used to simulate sea level and velocity variations in the South China Sea for 1992–1995. The model is driven by daily wind and daily sea surface temperature fields derived from the NCEP/NCAR 40-year reanalysis project. The four-year model outputs are analyzed using time-domain Empirical Orthogonal Functions (EOF). Spatial and temporal variations of the first two modes from the simulation compare favorably with those derived from satellite altimetry. Mode 1, which is associated with a southern gyre, shows symmetric seasonal reversal. Mode 2, which contributes to a northern gyre, is responsible for the asymmetric seasonal and interannual variations. In winter, the southern and northern cyclonic gyres combine into a strong basin-wide cyclonic gyre. In summer, a cyclonic northern gyre and an anticyclonic southern gyre form a dipole with a jet leaving the coast of Vietnam. Interannual variations are particularly noticeable during El Niño. The winter gyre is generally weakened and confined to the southern basin, and the summer dipole structure does not form. Vertical motions weaken accordingly with the basin-wide circulation. Variations of the wind stress curl in the first two EOF modes coincide with those of the model-derived sea level and horizontal velocities. The mode 1 wind stress curl, significant in the southern basin, coincides with the reversal of the southern gyre. The mode 2 curl, large in the central basin, is responsible for the asymmetry in the winter and summer gyres. Lack of the mode 2 contribution during El Niño events weakens the circulation. The agreement indicates that changes in the wind stress curl contribute to the seasonal and interannual variations in the South China Sea. 相似文献