海冰在大气环流模式中的重要作用

文章简要综述了次网格尺度海冰非均匀性对大气环流模式性能的影响；南极冰在全球环流和短期气候变化中的作用；以及模式中不同的海冰反照率参数化对地表温度和辐射的影响等研究结果．说明海冰对极地海洋和大气的能量收支及短期气候变化有重要作用，不同的海冰参数化方案对气候模拟结果有重要影响．     

海冰在大气环流模型中的重要作用

文章简要综述了次网格尺度海非均匀性大对大气环流模式性能的影响，南极冰在全球环流和短期气候变化中的作用，以及模式中不同的海冰反照率参数化对地表温度和辐射的影响等研究结果，说明海冰对极地海洋和大气的能量收支及短期气候变化有重要作用，不同的海洋参数化方案对气候模拟结果有重要影响。     

赤道东太平洋海表水温月异常的数值试验

本文利用中科院大气物理研究所的两层大气环流模式（ＩＡＰ－ＧＣＭ Ⅱ）作了冬季赤道东太平洋地区海表水温月异常增暖时对大气环流及我国气候影 响的数值试验。结果表明,该处海表水温的异常增暖能引起中太平洋信风带Ｗａｌｋｅｒ 环流的改变并激发出中高纬度３０－５０天的低频振荡;当该异常结束后,其后效仍 会对我国的气候产生影响。     

赤道东太平洋海表温月异常的数值试验

本文利用中科院大气物理研究所的两层大气环流模式（ＩＡＰ－ＧＣＭⅡ）作了冬季赤道东太平洋地区海表水温月异常增暖对气环流及我国气候影响的数值试验。结果表明,该处海表水温的异常增暖能引起中太平洋信风带Ｗａｌｋｅｒ环流的改变并激发同中高纬度３０－５０天的低频振荡;当该异常结束后,其后效仍会对我国的气候产生影响。     

CICE海冰模式中反照率相关参数对北极海冰模拟的影响

国家气候中心气候系统模式BCC_CSM2.0最新耦合了美国Los Alamos国家实验室发展的海冰模式CICE5.0,为试验模式中与反照率相关参数的敏感性及其对模拟结果的影响,提高模式对北极海冰的模拟能力,选取海冰模式中3个主要参数进行了敏感性试验。利用以BCC_CSM2.0耦合框架为基础建立的海冰-海洋耦合模式,选取CORE资料为大气强迫场开展试验,试验的3个参数分别为冰/雪表面反射率、雪粒半径和雪粒半径参考温度。结果表明,参数取值的不同对北极海冰的模拟有显著的影响,优化后的取值组合极大提高了模式的模拟能力,主要表现在:（1）改善了对北极冬季海冰厚度的模拟,海冰厚度增大,与观测资料更为吻合;（2）显著提高了对北极夏季海冰密集度的模拟能力,从而模拟的北极海冰范围年际循环与观测更为一致。参数取值的优化改进了模式对海冰反照率的模拟,进而影响了冰面短波辐射的吸收和海冰表层的融化,最终提高了模式对海冰密集度和厚度的模拟效果。      

大气环流模式的完全控制试验与模式大气的年际异常研究

对大气环流模式提出了完全控制试验（ＦＣ）的概念，对包括陆面下垫面在内的整个地球表面的热力强迫作了控制。在ＦＣ中，可以更好地分离出大气内动力过程对于模式大气短期气候异常的影响。利用ＩＡＰ２－ＬＡＧＣＭ（中国科学院大气物理所二层大气环流模式）实施了完全控制试验。结果表明，北半球夏半年ＦＣ的月平均海平面气压（ＳＬＰ）年际异常较Ｃ的小，而全球或南半球ＦＣ与Ｃ的ＳＬＰ无明显差别。东亚－西太平洋区域夏半年ＦＣ的月平均ＳＬＰ年际异常甚至高于Ｃ的，意味着该区域模式大气环流短期气候异常中大气内动力过程的作用不可忽视。     

区域模式和GCM对青藏高原和西北地区气候模拟结果的对比分析

使用一个区域模式与大气环流模式（ＧＣＭ）嵌套,模拟了我国西北及青藏高原地区夏季气候的平均状态。将区域模式与ＧＣＭ嵌套的模拟结果和ＧＣＭ单独使用时的模拟结果与观测场进行了对比分析和相关分析。结果表明：ＧＣＭ模式拟出了我国西北和青藏高原地区夏季大尺度气候的基本特征,对降水的模拟也基本合理,但无法分辨出较小系统。区域模式与ＧＣＭ嵌套拟结果有明显改善,它可成功地再现西北及青藏高原地区夏季的区域气候特征（包     

北极多冰年和少冰年的大气环流差异

本文利用一个改进的海冰热力模式,取北极区大气和有关场的气候资料,模拟了1982年10月至1988年9月的北极海冰空间分布和季节变化的循环特征,较好地模拟出多冰年（1983,1987）和少冰年（1984,1986）。模拟结果与部分研究工作以及实况相比较,基本状况趋于一致。并且在此基础上进一步探讨了北极多冰年和少冰年的大气环境差异,可以看到多冰年的北极极涡偏西半球;少冰年的北极极涡基本是围绕极地。从而进一步影响多冰年和少冰年大气环流差异,特别是对亚洲环流的影响较大。     

CSU－RAMS模式在区域气侯模拟中的应用

将ＣＳＵ－ＲＡＭＳ（中尺度）数值模式改造成“区域气候数值模式”以及进行区域气候数值模拟的试验研究。说明将有限区域中尺度数值模式与ＧＣＭ模式嵌套区域气候数值模拟研究上能够取得有意义的结果,它能在一定程度上改善ＧＣＭ模式的不足,可以更为细致地描述大气环流的变化特征,是了解区域气候变化的有效方法之一。     

CSU－RAMS模式在区域气侯模拟中的应用

将ＣＳＵ－ＲＡＭＳ（中尺度）数值模式改造成“区域气候数值模式”以及进行区域气候数值模拟的试验研究。说明将有限区域中尺度数值模式与ＧＣＭ模式嵌套应用到区域气候数值模拟研究上能够取得有意义的结果。它能在一定程度上改善ＧＣＭ模式的不足。可以更为细致地描述大气环流的变化特征,是了解区域气候变化的有效方法之一。     

地表反照率的改变影响夏季北非副热带高压的数值模拟

利用 LASG L 9R1 5AGCM设计了两组不同地表反照率的数值试验。通过分析其夏季平均气候的差异来考察地表反照率改变对夏季北非副高的影响。结果表明 ,当北非地表反照率增大时 ,由于地面接收到的净辐射减少 ,地面温度降低 ,底层大气的感热加热减弱 ,抑制了局地的对流和降水 ,相应的对流层中层的凝结加热也减弱。这种中、低层的冷却强迫出高空的异常辐合与低空的异常辐散 ,导致北非地区下沉运动增强 ,从而加强了北非副高。另外 ,这种北非地区的环流异常 ,通过辐散风环流加强了南亚高空的辐散 ,在一定程度上加强了南亚高压。     

INTERDECADAL VARIABILITY IN A MODEL ATMOSPHERE

By using the simulation results of an AGCM, which had been run from 1945 to 1993 forced by COADS SST, the interdecadal variability of the model atmosphere was investigated and compared with that of NCEP reanalysis data. It was found that, interdecadal variability exists significantly in both the tropical Pacific wind fields and the mid-high latitude atmospheric circulation of the model atmosphere. The tendency of time variation and spatial distributions of the interdecadal variability of the model atmosphere are basically consistent with observation. Relative to the mid-high latitude atmospheric circulation, the simulation of tropical Pacific wind is more satisfying, which suggests that anomalous variation of SST is still the main factor for the interdecadal variability of tropical Pacific wind. It might have more significant influence on the tropical wind than on the mid-high latitude atmosphere. However, there is still obvious difference between the simulation and observation. They could be attributed to both the simulation capability of the model and absence of other factors in the model which are important for the interdecadal climate variation.     

土壤湿度和地表反射率变化对中国北方气候影响的数值研究

本文利用ＯＳＵ两层大气环流模式来考察土壤湿度和地表反射率变化对中国北方气候的影响。在（３０—４６°Ｎ，９０—１２０°Ｅ）的区域上进行了３个试验，结果表明干土壤对我国东部季风区和西部非季风区有不同的影响特征。高反射率造成降水减少。并指出地表过程的作用可能是经常发生在华北的春夏连旱现象的重要原因之一。     

Vegetation Feedback at the Mid-Pliocene

A global atmospheric general circulation model and an asynchronously coupled global atmosphere-biome model are used to simulate vegetation feedback at the mid-Pliocene approximately 3.3 to 3.0 million years ago.For that period,the simulated vegetation differed from present conditions at 62%of the global ice-free land surface.Vegetation feedback had little overall impact on the global climate of the mid-Pliocene.At the regional scale,however,the interactive vegetation led to statistically significant increases in annual temperature over Greenland,the high latitudes of North America,the mid-high latitudes of eastern Eurasia,and western Tibet,and reductions in most of the land areas at low latitudes,owing to vegetation-induced changes in surface albedo.     

The role of sea ice in the temperature-precipitation feedback of glacial cycles

The response of the hydrological cycle to climate variability and change is a critical open question, where model reliability is still unsatisfactory, yet upon which past climate history can shed some light. Sea ice is a key player in the climate system and in the hydrological cycle, due to its strong albedo effect and its insulating effect on local evaporation and air-sea heat flux. Using an atmospheric general circulation model with specified sea surface temperature and sea-ice distribution, the role of sea ice in the hydrological cycle is investigated under last glacial maximum (LGM) and present day conditions, and by studying its contribution to the “temperature-precipitation feedback”. By conducting a set of sensitivity experiments in which the albedo and thickness of the sea ice are varied, the various effects of sea ice in the hydrological cycle are isolated. It is demonstrated that for a cold LGM like state, a warmer climate (as a result of reduced sea-ice cover) leads to an increase in snow precipitation over the ice sheets. The insulating effect of the sea ice on the hydrological cycle is found to be larger than the albedo effect. These two effects interact in a nonlinear way and their total effect is not equal to summing their separate contribution.     

Sensitivity of Arctic warming to sea surface temperature distribution over melted sea-ice region in atmospheric general circulation model experiments

Substantial reduction in Arctic sea ice in recent decades has intensified air-sea interaction over the Arctic Ocean and has altered atmospheric states in the Arctic and surrounding high-latitude regions. This study has found that the atmospheric responses related to Arctic sea-ice melt in the cold season (October–March) depend on sea-ice fraction and are very sensitive to in situ sea surface temperature (SST) from a series of atmospheric general circulation model (AGCM) simulations in which multiple combinations of SSTs and sea-ice concentrations are prescribed in the Arctic Ocean. It has been found that the amplitude of surface warming over the melted sea-ice region is controlled by concurrent in situ SST even if these simulations are forced by the same sea-ice concentration. Much of the sensitivity of surface warming to in situ SST are related with large changes in surface heat fluxes such as the outgoing long-wave flux in early winter (October–December) and the sensible and latent heat fluxes for the entire cold season. Vertical extension of surface warming and moistening is sensitive to these changes as well; the associated condensational heating modulates a static stability in the lower troposphere. This study also indicates that changes in SST fields in AGCM simulations must be implemented with extra care, especially in the melted sea-ice region in the Arctic. The statistical method introduced in this study for adjusting SSTs in conjunction with a given sea-ice change can help to model the atmospheric response to sea-ice loss more accurately.     

Parameterization of snow-free land surface albedo as a function of vegetation phenology based on MODIS data and applied in climate modelling

The aim of this study was to develop an advanced parameterization of the snow-free land surface albedo for climate modelling describing the temporal variation of surface albedo as a function of vegetation phenology on a monthly time scale. To estimate the effect of vegetation phenology on snow-free land surface albedo, remotely sensed data products from the Moderate-Resolution Imaging Spectroradiometer (MODIS) on board the NASA Terra platform measured during 2001 to 2004 are used. The snow-free surface albedo variability is determined by the optical contrast between the vegetation canopy and the underlying soil surface. The MODIS products of the white-sky albedo for total shortwave broad bands and the fraction of absorbed photosynthetically active radiation (FPAR) are analysed to separate the vegetation canopy albedo from the underlying soil albedo. Global maps of pure soil albedo and pure vegetation albedo are derived on a 0.5° regular latitude/longitude grid, re-sampling the high-resolution information from remote sensing-measured pixel level to the model grid scale and filling up gaps from the satellite data. These global maps show that in the northern and mid-latitudes soils are mostly darker than vegetation, whereas in the lower latitudes, especially in semi-deserts, soil albedo is mostly higher than vegetation albedo. The separated soil and vegetation albedo can be applied to compute the annual surface albedo cycle from monthly varying leaf area index. This parameterization is especially designed for the land surface scheme of the regional climate model REMO and the global climate model ECHAM5, but can easily be integrated into the land surface schemes of other regional and global climate models.     

Can crop albedo be increased through the modification of leaf trichomes,and could this cool regional climate?

Managing the land surface to increase albedo to offset regional warming has received less attention than managing the land surface to sequester carbon. We test whether increasing agricultural albedo can cool regional climate. We first used the Community Atmosphere Model (CAM 3.0) coupled to the Community Land Model (CLM 3.0) to assess the broad climatic effects of a hypothetical implementation of a strategy in which the albedo of cropland regions is increased using high albedo crops. Simulations indicate that planting brighter crops can decrease summertime maximum daily 2 m air temperature by 0.25°C per 0.01 increase in surface albedo at high latitudes (>30°). However, planting brighter crops at low latitudes (<30°) may have negative repercussions including warming the land surface and decreasing precipitation, because increasing the land surface albedo tends to preferentially decrease latent heat fluxes to the atmosphere, which decreases cloud cover and rainfall. We then test a possible method for increasing crop albedo by measuring the range of albedo within 16 isolines of soybeans that differ only with trichome color, orientation, and density but find that such modifications had only minor impacts on leaf albedo. Increasing agricultural albedo may cool high latitude regional climate, but increasing plant albedo sufficiently to offset potential future warming will require larger changes to plant albedo than are currently available.     

The Effect of the Sea-ice Zone on the Development of Boundary-layer Roll Clouds During Cold Air Outbreaks

High latitude air–sea interaction is an important component of the earth’s climate system and the exchanges of mass and energy over the sea-ice zone are complicated processes that, at present, are not well understood. In this paper, we perform a series of numerical experiments to examine the effect of sea-ice concentration on the development of high latitude boundary-layer roll clouds. The experiments are performed at sufficiently high spatial resolution to be able to resolve the individual convective roll clouds, and over a large enough domain to be able to examine the roll’s downstream development. Furthermore the high spatial resolution of the experiments allows for an explicit representation of heterogeneity within the sea-ice zone. The results show that the sea-ice zone has a significant impact on the atmospheric boundary-layer development, which can be seen in both the evolution of the cloud field and the development of heat and moisture transfer patterns. In particular, we find the air-sea exchanges of momentum, moisture and heat fluxes are modified by the presence of the roll vortices (typically a 10% difference in surface heat fluxes between updrafts and downdrafts) and by the concentration and spatial distribution of the sea-ice. This suggests that a more realistic representation of processes over the sea-ice zone is needed to properly calculate the air-sea energy and mass exchange budgets.     

陆面过程对气候影响的数值模拟:SSiB与IAP/LASG L9R15 AGCM耦合及其模式性能

利用陆面过程模式 SSi B与 IAP/LASG发展的 L9R1 5AGCM的耦合 1 0 a积分试验 ,研究了全球尺度大气与地表的水分和能量交换以及陆地与大气环流和气候的相互作用。模拟表明 :SSi B模式可模拟出陆地上较为真实的表面通量及其日变化 ,较好地定量描述土壤 -植被 -大气连续体系 ( SPAC)中能量和水分的传输过程。因此 ,将其引入气候模式中能够模拟出比 CTL- AGCM更合理的气候平均状态、水汽分布以及水汽输送的气候特征 ,特别是亚洲夏季风水汽输送独特的地域性 ,再现了大气环流 ,尤其是陆面气候的基本特征。并指出 ,陆面过程参数化的引进及其陆面状况的变化显著地改善了全球陆地上的水分平衡状况。利用改进的再循环降水模式 ,进一步研究了陆面过程参数化明显改进降水模拟的物理机制。指出全球陆地 ,特别是盛夏北半球干旱、半干旱地区的再循环降水率明显减小 ,与陆面上表面潜热通量的显著减小区一致 ,从而克服了许多未耦合陆面过程的 AGCMs因对地表水过程非常简单地参数化导致的普遍存在着整个陆地降水偏高 ,改善了全球陆地上的水分平衡状况。因此 ,在充分耦合的陆气环流模式中模拟的降水分布与实况接近。