GAMIL CliPAS试验对夏季西太平洋副热带高压的预测

利用GAMIL CliPAS"两步法"季度预测试验,检验了后报的1980～1999年北半球夏季西太平洋副热带高压(简称副高)的年际变化,检查了Seoul National University(SNU)动力统计预测系统对SST预测准确度,并讨论了影响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格点大气模式(GAMIL)对副高预测效果的可能原因.500 hPa位势高度可预报性指数表明西太平洋副高具有较高可预报性.集合平均基本能再现西太平洋副高的变率特征,但最大方差的位置和强度与观测稍有区别.观测证据显示,副高存在2～3年变率和3～5年变率.且2～3年变率比3～5年变率强.GAMIL能够准确预测观测副高的3～5年变率,尽管其强度要强于观测.这与试验所用的预测海温能够很好表现赤道中东太平洋(5.5°S～5.5°N,190.5°E～240.5°E)海温的年际变率有关.同时,GAMIL预测的副高2～3年变率较之观测显著偏弱,这可能与SNU预测的海洋大陆地区(5.5°S～0.5°N,110.5°E～130.5°E)SST的2～3年变率偏弱有关.分析表明,SNU预测海温的这种弱点,与SNU海温统计预测模式所用的历史海温(OISST)本身对海洋大陆地区2～3年变率的刻画能力较弱有关.     

一个适用于地球系统模式(CAS-ESM)的在线气溶胶与大气化学分量模式(IAP-AACM)的发展与评估

地球系统模式是研究全球气候与生态环境变化问题的重要工具，气溶胶与大气化学模式负责为其中的大气环流模式提供与气候效应有关的气态化学物质和气溶胶成分。本文在全球嵌套网格空气质量预报模式系统的基础上发展了一个适用于中国科学院地球系统模式（CAS-ESM）耦合计算的气溶胶与大气化学分量模式（IAP-AACM），采用简化的气相化学机制，不仅考虑了人为气溶胶，同时考虑了海盐、沙尘和二甲基硫等自然气溶胶及其前体物的在线排放。评估结果表明，IAP-AACM氧化剂插值计算可靠，采用简化机制和碳键机制（CBM-Z）模拟的差异较小。和观测的对比表明，得益于CAS-ESM的气溶胶双向反馈作用，简化版能够较好地抓住气溶胶及其前体物的空间分布，为IAP-AGCM提供可靠的气溶胶模拟。另外，简化版能大幅提升计算效率，满足CAS-ESM耦合长期积分的需求。为了在全球气候变化的研究中提供更完善的气溶胶模拟，未来考虑在IAP-AACM中增加氮化学和臭氧平流层化学机制。     

The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3

 Results are presented from the latest version of the Hadley Centre climate model, HadAM3 (Hadley Centre Atmospheric Model version 3). It represents a significant improvement over the previous version, HadAM2b. This is demonstrated using a series of ten year integrations with AMIP (Atmospheric Model Intercomparison Project) boundary conditions. The work covers three aspects of model performance: (1) it shows the improvements in the mean climate in changing from HadAM2b to HadAM3; (2) it demonstrates that the model now compares well with observations and (3) it isolates the impacts of new physical parametrizations. Received: 17 August 1998 / Accepted: 20 July 1999     

FGOALS-g模式及其参与CMIP6的方案

为参加第六次国际耦合模式比较计划（CMIP6）和进一步提高模式的模拟能力,大气科学和地球流体力学数值模拟国家重点实验室（LASG）模式团队发展了新一代的格点大气版本的FGOALS-g耦合模式。新版本模式在大气分辨率、海洋网格,以及各分量模式的物理过程等方面都有一定的改进,并正在参与CMIP6最核心的试验以及多个CMIP6模式比较子计划试验。给定CMIP6外强迫,模式在工业革命前参照试验（piControl）和大气模式比较计划（AMIP）试验中模拟的初步结果都比较合理。     

Modelling the January and July Climate of 9000 Years before Present

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A fast version of LASG/IAP climate system model and its 1000-year control integration

A fast version of the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geo- physical Fluid Dynamics(LASG)/Institute of Atmospheric Physics(IAP)climate system model is briefly documented.The fast coupled model employs a low resolution version of the atmospheric component Grid Atmospheric Model of IAP/LASG(GAMIL),with the other parts of the model,namely an oceanic component LASG/IAP Climate Ocean Model(LICOM),land component Common Land Model(CLM),and sea ice component from National Center for Atmospheric Research Community Climate System Model (NCAR CCSM2),as the same as in the standard version of LASG/IAP Flexible Global Ocean Atmosphere Land System model(FGOALS g).The parameterizations of physical and dynamical processes of the at- mospheric component in the fast version are identical to the standard version,although some parameter values are different.However,by virtue of reduced horizontal resolution and increased time-step of the most time-consuming atmospheric component,it runs faster by a factor of 3 and can serve as a useful tool for long- term and large-ensemble integrations.A 1000-year control simulation of the present-day climate has been completed without flux adjustments.The final 600 years of this simulation has virtually no trends in global mean sea surface temperatures and is recommended for internal variability studies.Several aspects of the control simulation’s mean climate and variability are evaluated against the observational or reanalysis data. The strengths and weaknesses of the control simulation are evaluated.The mean atmospheric circulation is well simulated,except in high latitudes.The Asian-Australian monsoonal meridional cell shows realistic features,however,an artificial rainfall center is located to the eastern periphery of the Tibetan Plateau persists throughout the year.The mean bias of SST resembles that of the standard version,appearing as a"double ITCZ"(Inter-Tropical Convergence Zone)associated with a westward extension of the equatorial eastern Pacific cold tongue.The sea ice extent is acceptable but has a higher concentration.The strength of Atlantic meridional overturning is 27.5 Sv.Evidence from the 600-year simulation suggests a modulation of internal variability on ENSO frequency,since both regular and irregular oscillations of ENSO are found during the different time periods of the long-term simulation.     

初值协调性对模式数值积分结果的影响

利用国家气候中心新一代全球大气环流模式BCC_AGCM2.0.1,考虑了初值协调性对模式数值积分结果的影响,进行了两组数值回报试验(简称S1,S2),对27年(1980～2006年)的夏季基本气候态进行了对比分析,并考察了该模式对夏季气候的回报技巧。使用交叉检验的方法,计算了对模式结果的评估参数值,包括时间和空间距平相关系数,对该模式性能进行了评估和检验。结果表明,BCC_AGCM2.0.1对季节尺度的大气环流场具有良好的模拟性能,模式基本上再现了观测位势高度场、温度场、流场的分布特征以及大尺度降水分布特征。500 hPa位势高度、温度空间距平相关系数对比表明,平均而言,500 hPa位势高度、温度的空间距平相关性,热带区域(30°S～30°N)高于东亚区域(0°～60°N,60°E～150°E)和全球区域。回报与观测的降水距平百分率相关系数分布对比表明,试验S2在我国江淮地区及南方地区的回报技巧要明显优于S1。     

Recent climate variation in the Bering and Chukchi Seas and its linkages to large-scale circulation in the Pacific

The thermal state of the Bering Sea exhibits interdecadal variations, with distinct changes occurred in 1997–1998. After the unusual thermal condition of the Bering Sea in 1997–1998, we found that the recent climate variability (1999–2010) in the Bering Sea is closely related to Pacific basin-scale atmospheric and oceanic circulation patterns. Specifically, warming in the Bering and Chukchi Seas in this period involves sea ice reduction and stronger oceanic heat flux to the atmosphere in winter. The atmospheric response to the recent warming in the Bering and Chukchi Seas resembles the North Pacific Oscillation (NPO) pattern. Further analysis reveals that the recent climate variability in the Bering and Chukchi Seas has strong covariability with large-scale climate modes in the Pacific, that is, the North Pacific Gyre Oscillation and the central Pacific El Niño. In this study, physical connections among the recent climate variations in the Bering and Chukchi Seas, the NPO pattern and the Pacific large-scale climate patterns are investigated via cyclostationary empirical orthogonal function analysis. An additional model experiment using the National Center for Atmospheric Research Community Atmospheric Model, version 3, is conducted to support the robustness of the results.     

Global 60?km simulations with CCAM: evaluation over the tropics

A six-member ensemble of 60?km resolution global atmospheric simulations has been performed for studying future climate scenarios of Pacific island nations. The simulations were performed using the CSIRO Conformal Cubic Atmospheric Model (CCAM), driven by bias-corrected sea surface temperatures (SSTs) provided by six Coupled Model Intercomparison Project phase 3 global climate models (GCMs) from the Intergovernmental Panel on Climate Change Fourth Assessment Report for the period 1971–2100. This paper focuses on results for the representation of the current climate in the tropical region, a region where the “cold tongue” problem is apparent in all host GCMs. The SST bias-correction and the fine horizontal resolution employed in the CCAM simulations produce a significant improvement over the host GCMs in the rainfall patterns for the transient seasons March–April–May and September–October–November, and a moderate improvement for December–January–February and June–July–August. CCAM also simulates improved rainfall patterns over the South Pacific Convergence Zone. The performance of other tropical features, such as El Ni?o Southern Oscillation and the Walker circulation, is also evaluated.     

The Interannual Variability and Predictability in a Global Climate Model

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Influence of the Tibetan Plateau on the Summer Climate Patterns over Asia in the IAP/LASG SAMIL Model

A series of numerical experiments are carried out by using the Spectral Atmospheric Model of State Key Laboratory of Numerical Modeling Atmospheric Sciences and Geophysical Fluid Dynamics/Institute of Atmospheric Physics （SAMIL） to investigate how the Tibetan Plateau （TP） mechanical and thermal forcing affect the circulation and climate patterns over subtropical Asia. It is shown that, compared to mechanical forcing, the thermal forcing of TP plays a dominant role in determining the large-scale circulation in summer. Both the sensible heating and the latent heating over TP tend to generate a surface cyclonic circulation and a gigantic anticyclonic circulation in the mid- and upper layers, whereas the direct effect of the latter is much more significant. Following a requirement of the time-mean quasi-geostrophic vorticity equation for large-scale air motion in the subtropics, convergent flow and vigorous ascending motion must appear to the east of TP. Hence the summer monsoon in East China is reinforced efficiently by TP. In contrast, the atmosphere to the west of TP is characterized by divergent flow and downward motion, which induces the arid climate in Mid-Asia.     

The Project for Intercomparison of Land-surface Parametrization Schemes (PILPS): 1992 to 1995

The World Climate Research Programme Project for Intercomparison of Land-surface Parametrization Schemes (PILPS) is an on-going international intercomparison of land surface schemes designed for use in climate modelling and weather prediction. The five phases of PILPS are described in this work with an indication of the status of each. Phase 0 documented the status of land surface schemes. Phase 1 performed a series of off-line tests using synthetic atmospheric forcing. Phase 2 exploited observational data in off-line tests. Phase 3 was comprised of coupled tests within the Atmospheric Model Intercomparison Project (AMIP) project and finally Phase 4 will consider the performance of land-surface schemes when coupled to their host climate models in fully coupled evaluations. Results from Phase 1 indicate that there is a wide range among models. Phase 2 indicates that while some models are consistent with observations, there remains a large range among models and that many diverge greatly from observations. PILPS phases 2(a) and 2(b) results suggest that individual land-surface schemes capture specific aspects of the complex system with reasonable accuracy but no one scheme captures the whole system satisfactorily and consistently. In Phase 3 the intercomparison of PILPS schemes as a component of global atmospheric circulation models is being conducted jointly with the AMIP as diagnostic subproject number 12. Preliminary results suggest that results differ by about the same range as in the offline experiments in Phases 1 and 2. Phase 4 will couple selected land-surface schemes to the USA's National Center for Atmospheric Research climate system model and to the Australian Bureau of Meteorology limited area model. Received: 24 October 1995 / Accepted: 28 May 1996     

基于GPU-OpenACC的气候模式加速优化研究

为使数值模式适应异构架构在高性能计算领域的快速发展趋势,本文基于OpenACC语言,对气候模式BCC_AGCM3.0中动力框架三段程序段进行GPU加速优化试验。通过异步执行设置、循环内移、数据管理及向量参数化配置等方式,对模式中计算密集部分程序段进行GPU加速并行化,并进行了优化运行效率对比及正确性验证。试验结果表明,BCC_AGCM3.0模式中三段程序段GPU加速后效率提升均在3倍以上,BCC_AGCM气候模式全球涡度均方根相对误差控制在一定范围之内。加速方法及策略对于数值天气气候模式在异构环境下的移植与优化具有一定参考价值。     

High-resolution simulations of global climate, part 2: effects of increased greenhouse cases

We report results from the highest-resolution simulations of global warming yet performed with an atmospheric general circulation model. We compare the climatic response to increased greenhouse gases of the National Center for Atmospheric Research (NCAR) climate model, CCM3, at T42 and T170 resolutions (horizontal grid spacing of 300 and 75 km respectively). All simulations use prescribed sea surface temperatures (SST). Simulations of the climate of 2100 ad use SSTs based on those from NCAR coupled model, Climate System Model (CSM). We find that the global climate sensitivity and large-scale patterns of climate change are similar at T42 and T170. However, there are important regional scale differences that arise due to better representation of topography and other factors at high resolution. Caution should be exercised in interpreting specific features in our results both because we have performed climate simulations using a single atmospheric general circulation model and because we used with prescribed sea surface temperatures rather than interactive ocean and sea-ice models.     

中高层大气环流模式的初步评估与敏感性分析

提高大气环流模式的模式顶层高度对中高层大气(如平流层准两年振荡)的准确模拟至关重要.本研究将IAP大气环流模型(IAP-AGCM)延伸至中层大气顶(～0.01 hPa,～80 km)并提高垂直方向分辨率(91层),发展了一个中高层大气环流模型(IAP-AGCML91).结果表明,与低层模式相比,该中高层大气模式在整体上显著减小了平流层尤其是上平流层的冷偏差.研究发现这种改善与两种机制有关:与低层模式相比,高层模式模拟的短波加热更大,极区平流层附近的经向涡动热通量更大.上述结果表明,垂直分辨率和模式顶层高度对IAP-AGCML91的气候模拟有重要影响.     

基于慢特征分析方法研究陆地表面气温变率的驱动力

慢特征分析（SFA）方法可以从非平稳时间序列中提取出慢变的外强迫信息。近年来,SFA方法被应用于气候变化研究领域,用于探究气候变化的潜在驱动力及相关的动力学机制。本文基于SFA方法,提取全球陆地表面气温（LSAT）的慢变外强迫信息,研究全球LSAT慢变驱动力的空间结构特征及低频变率的主要驱动因子。SFA方法提取的LSAT慢变驱动力与历史时期全球辐射强迫（GRF）和全球海表温度（SST）的主模态（大西洋多年代际振荡AMO、热带太平洋ENSO变率和太平洋年代际振荡PDO）有显著的相关关系,表明全球大部分地区LSAT的变率受到GRF和三个SST模态的显著影响。GRF对LSAT变率的影响有全球一致性的特征,而三个SST模态对LSAT变率的影响则呈现出明显的区域特点。此外,由于SFA方法可以有效降低原始LSAT序列中随机噪声的干扰,GRF和SST模态对LSAT变率的解释方差显著提高,进一步表明GRF和SST模态是全球LSAT低频变率主要的驱动因子。最后,利用历史海温驱动AGCM试验（即AMIP试验）的结果,验证了三个SST模态对区域LSAT变率的显著影响。     

Empirical Estimates of Global Climate Sensitivity： An Assessment of Strategies Using a Coupled GCM

A control integration with the normal solar constant and one with it increased by 2.5% in the National Center for Atmospheric Research （NCAR） coupled atmosphere-ocean Climate System Model were conducted to see how well the actual realized global warming could be predicted just by analysis of the control results. This is a test, within a model context, of proposals that have been advanced to use knowledge of the present day climate to make ＂empirical＂ estimates of global climate sensitivity. The scaling of the top-of-the-atmosphere infrared flux and the planetary albedo as functions of surface temperature was inferred by examining four different temporal and geographical variations of the control simulations. Each of these inferences greatly overestimates the climate sensitivity of the model, largely because of the behavior of the cloud albedo. In each inference the control results suggest that cloudiness and albedo decrease with increasing surface temperature. However, the experiment with the increased solar constant actually has higher albedo and more cloudiness at most latitudes. The increased albedo is a strong negative feedback, and this helps account for the rather weak sensitivity of the climate in the NCAR model. To the extent that these model results apply to the real world, they suggest empirical evaluation of the scaling of global-mean radiative properties with surface temperature in the present day climate provides little useful guidance for estimates of the actual climate sensitivity to global changes.     

Origin of regional climate differences: role of boundary conditions and model formulation in two GCMs

Model differences in projections of extratropical regional climate change due to increasing greenhouse gases are investigated using two atmospheric general circulation models (AGCMs): ECHAM4 (Max Planck Institute, version 4) and CCM3 (National Center for Atmospheric Research Community Climate Model version 3). Sea-surface temperature (SST) fields calculated from observations and coupled versions of the two models are used to force each AGCM in experiments based on time-slice methodology. Results from the forced AGCMs are then compared to coupled model results from the Coupled Model Intercomparison Project 2 (CMIP2) database. The time-slice methodology is verified by showing that the response of each model to doubled CO₂ and SST forcing from the CMIP2 experiments is consistent with the results of the coupled GCMs. The differences in the responses of the models are attributed to (1) the different tropical SST warmings in the coupled simulations and (2) the different atmospheric model responses to the same tropical SST warmings. Both are found to have important contributions to differences in implied Northern Hemisphere (NH) winter extratropical regional 500 mb height and tropical precipitation climate changes. Forced teleconnection patterns from tropical SST differences are primarily responsible for sensitivity differences in the extratropical North Pacific, but have relatively little impact on the North Atlantic. There are also significant differences in the extratropical response of the models to the same tropical SST anomalies due to differences in numerical and physical parameterizations. Differences due to parameterizations dominate in the North Atlantic. Differences in the control climates of the two coupled models from the current climate, in particular for the coupled model containing CCM3, are also demonstrated to be important in leading to differences in extratropical regional sensitivity.