一个海陆气耦合模式中大气-植被的年际变化及其相互作用

含有动态植被过程的陆面模式Atmosphere-Vegetation Interaction Model(AVIM)与中国科学院大气物理研究所大气科学与地球流体力学数值模拟国家重点实验室(IAP/LASG)的9层大气环流模式AGCM 及20层的海洋环流模式(OGCM)耦合,建立了一个全球模式(GoALS-AVIM)并进行100年的模拟积分.后40年的结果分析表明,该耦合模式能够合理地模拟大气及陆地生态系统显著的年际变化.用奇异值分解(SVD)分析了东亚地区植被生长和气候变化的相互关系,发现在东业区域的植被净初级生产力(NPP)强弱的变化对血着大气环流的变化,特别是NPP分别与850 hPa的风场和500 hPa的高度场表现出很强的时空一致性.在东亚地区,由于植被类型的不同,导致NPP年际变化与降水、表面气温、短波辐射的年际变化的相关性不同,它们的年际变化与相关物理量场的年际变化表现出很强的植物种类的区别.     

一个海洋-大气-动态植被耦合模式评估——海洋环流模拟

利用中国科学院大气物理研究所（IAP）大气科学与地球流体力学数值模拟国家重点实验室(LASG)的全球耦合模式(GOALS〖CD*2〗AVIM),进行了100年积分。利用后40年的结果对模式耦合植被动态过程（AVIM）前后输出的海洋物理场对比分析。结果表明：耦合AVIM后的模式可以合理地模拟全球海洋温盐环流的气候态、季节变化,可以改进模式的模拟效果,在一定程度上克服了耦合AVIM前模式的缺点,使模拟结果更接近实测。由于植被〖CD*2〗大气的双向作用,在季节变化的模拟中,9月的改进效果大于3月的,北半球大于南半球;对于年平均气候态,耦合AVIM后的模式结果在热带海区海表面温度（SST）的模拟效果得到了明显改善,尤其是赤道太平洋海区的海温偏低现象得到了改善;在年际变化的模拟中,改善了耦合AVIM前模式模拟的年际变化分布,加大了赤道太平洋的标准差的模拟,使得耦合AVIM后模拟的年际变化大于耦合前;增强了耦合模式对赤道太平洋ENSO的模拟能力,较耦合AVIM前的模式模拟出了更多的ENSO基本特征,也改善了耦合AVIM前ENSO变化周期偏弱、偏短的现象;同样改善了对气候系统中存在的相互作用的模拟,对于热带印度洋SST变化与赤道太平洋SST的相互关联的模拟中,更加真实地模拟出了气候系统中存在的相互关联关系,体现出了AVIM动态植被过程对气候耦合模式的改善。     

IAP AGCM-Ⅰ水平分辨率的提高及对全球和东亚区域气候的数值模拟

在中国科学院大气物理研究所(IAP)第一代大气环流模式(AGCM1.2)的基础上,将其水平分辨率从原先的4°×5°分别提高到2°×2.5°和1×1.25°,得到更新版本的IAP AGCM1.3a(水平分辨率为2°×2.5°)和IAP AGCM1.3b(水平分辨率为1°×1.25°).利用上述水平分辨率提高后的模式进行了长时间积分,分析模式模拟结果可知:水平分辨率的提高确实可以在一定程度上改进气候模式对当代气候的模拟能力,特别是对地形雨以及东亚夏季风降水细致分布的模拟.从而为进一步改进IAP跨季度数值气候预测系统,提高短期气候预测能力提供了模式基础.     

海洋环流模式的发展和应用Ⅰ.全球海洋环流模式

概述近10年来中国科学院大气物理研究所大气科学和地球流体动力学数值模拟国家重点实验室全球海洋环流模式的发展及其在全球海气耦合模式的发展和气候模拟方面的应用.重点是:一个30层、0.5°×0.5°的准全球海洋环流模式LICOM的建立及其模拟的热带太平洋海洋环流和印度尼西亚贯穿流;以20层海洋模式为海洋分量建立的全球海洋-大气-陆面系统耦合模式GOALS在气候变化模拟方面的应用,和以海洋模式L30T63为海洋分量建立的灵活的耦合环流模式FGCM-0在热带太平洋-印度洋海气相互作用及古海洋-古气候模拟方面的应用     

全球海气耦合模式系统(NIM/COAMS)Ⅰ.一种新的再分析同步耦合方案

利用NCAR CCM2十八层全球大气环流谱模式和IAP／LASG OGCM二十层全球大洋环流模式，设计了一个通量场再分析同步耦合方案FRAC（Flux Re—Analysis Coupling scheme），建立了全球海气耦合模式系统（NIM／COAMS）。利用EOF理论消除分量模式通量在海气非线性相互作用过程中产生的高频振荡，保留模式通量场的主要成分．使模式误差不致被迅速放大。模拟结果表明，积分前10a全球平均海表温度仅上升0．1℃，全球平均表面温度仅上升0．3℃，以后基本保持不变，模式没有出现明显的气候漂移，50a积分显示，模式对气候态的模拟与观测基本一致，部分结果优于未耦合模式。     

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。     

半干旱区植被覆盖度对边界层气候热力影响的数值模拟

在陆－气相互作用的中小尺度系统研究中，水平非均匀下垫面的强迫作用是主要的物理过程。本文利用能量闭合二维陆面过程与大气边界层耦合模式，研究了我国西北半干旱地区（３８°Ｎ，１０５°Ｅ）夏季下垫面物理特征的变化对区域边界层气候的影响。结果表明：土壤湿度、植被覆盖度对局地环流和区域边界层气候的形成起着决定性的作用。模拟结果揭示了在半干旱地区大面积植树造林、提高植被覆盖度，可涵养土壤水分，改善局地生态环境，是人工持续改造干旱、半干旱荒漠地区局地气候的重要途径。     

全球海-陆-气耦合模式大气模式分量的发展及其气候模拟性能Ⅰ--水平分辨率的影响

对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的全球海一陆一气耦合气候系统模式(GOALS／LASG)的大气分量进行了发展,主要是提高模式的分辨率。水平分辨率由原来的菱形15波截断(R15)提高到菱形42波截断（R42);并用实际的海温、海冰为外强迫积分模式10年,将积分结果与观测资料比较以检验模式的气候模拟性能,重点是检验全球季节变化和年际变化的模拟能力。从检验结果看,分辨率增加后模式能成功地模拟出全球气候的主要特征,多种要素场的季节变化与观测也一致;对EI Nifio的响应特征也有很好的反映。但与其它气候模式一样,也存在一些误差。对结果的分析表明,云、辐射方案影响模式的能量平衡,进而影响陆面系统的模拟及降水的分布：对流参数化方案对模拟结果也有很大影响。     

基于LASG/IAP大气环流谱模式的气候系统模式

文章扼要介绍了基于LASG/IAP大气环流谱模式(SAMIL)的气候系统模式的新版本FGOALS-s的发展和结构。出于发展一个在东亚季风模拟方面有一定优势的气候系统模式之目的,FGOALS-s的大气模式分量SAMIL采用了较高的水平分辨率R42,这相当于2.8125°(经度)×1.66°(纬度),高于三角截断T42的分辨率。对FGOALS-s在模拟大气、陆面、海洋和海冰的气候平均态,以及主要的年际变率信号方面的能力进行了检验。分析表明,FGOALS-s成功地控制了气候漂移趋势,能够较为真实地模拟大气、海洋和陆面的气候平均态,特别是受益于大气模式的较高分辨率,由中国西南向东北延伸的夏季风雨带的分布,在模式中得到较为真实的再现,表明该模式在东亚夏季风的模拟上具有较强能力。耦合模式能够成功再现El Ni~no事件的非规则周期变化,但是其年际变化的振幅较之观测要弱。赤道中西太平洋年际变率的强度较之赤道中东太平洋要强。在中高纬度,模式模拟的北大西洋涛动模态,在空间分布上与观测接近。FGOALS-s模式存在的主要问题,是模拟的热带海温偏冷、而中纬度海温则偏暖,原因是模式模拟的云量分布存在偏差,它直接影响到海表的净热通量收支。模式模拟的北大西洋高纬度地区的海温明显偏冷,令该地区的年平均海冰分布的范围明显偏大;然而受南极周边海温偏高影响,南极洲周围的海冰范围则偏少。FGOALS-s的未来工作重点,宜放在大气模式的云过程、海洋模式的经向能量输送过程、以及海洋与大气的淡水通量耦合方案的改进方面。     

新一代格点大气环流模式与陆面生态模式AVIM的耦合研究

将陆面生态模式AVIM(Atmosphere-Vegetation Interaction Model)的物理模块(PHY-AVIM)耦合到中国科学院大气物理研究所新一代格点大气环流模式GAMIL(Grid-point Atmospheric Model)中,替换GAMIL中的陆面模式BATS.对两种方案GAMIL+BATS(旧版本)和GAMIL+(PHY-AVIM)(新版本),分别独立进行11年积分,取后10年的积分结果进行分析.结果发现:新版本明显改进冬、夏季陆地表面的感热、潜热场通量,尤其在夏季,非洲大陆的中北部、欧亚大陆、北美中部以及南美北部等地区,新版本的感热场模拟值均比旧版本低,更接近NCEP再分析资料的结果;同样,对于地表面温度场,新版本在夏季明显地减弱了旧版本在大陆上的的暖偏差,模拟的结果更合理;新版本对冬、夏季的海平面气压场、降水场也有一定的改进,但改进不是很明显.以上的所有改进主要是由于AVIM引入了更细致的陆面物理过程参数化方案,以及使用了分辨率(0.5°×0.5°)更高的陆地植被分类资料.     

Climate simulations based on a different-grid nested and coupled model

An atmosphere-vegetation interaction model (AVIM) has been coupled with a nine-layer General Circulation Model (GCM) of Institute of Atmospheic Physics / State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (IAP/LASG), which is rhomboidally truncated at zonal wave number 15, to simulate global climatic mean states. AVIM is a model having inter-feedback between land surface processes and eco-physiological processes on land. As the first step to couple land with atmosphere completely, the physiological processes are fixed and only the physical part (generally named the SVAT (soil-vegetation-atmosphere-transfer scheme) model) of AVIM is nested into IAP/LASG L9R15 GCM. The ocean part of GCM is prescribed and its monthly sea surface temperature (SST) is the climatic mean value. With respect to the low resolution of GCM, i.e., each grid cell having longitude 7.5° and latitude 4.5°, the vegetation is given a high resolution of 1.5° by 1.5° to nest and couple the fine grid cells of land with the coarse grid cells of atmosphere. The coupling model has been integrated for 15years and its last ten-year mean of outputs was chosen for analysis.Compared with observed data and NCEP reanalysis, the coupled model simulates the main characteristics of global atmospheric circulation and the fields of temperature and moisture. In particular, the simulated precipitation and surface air temperature have sound results. The work creates a solid base on coupling climate models with the biosphere.     

An Updated Coupled Model for Land-Atmosphere Interaction. Part II： Simulations of Biological Processes

In Part I, the authors succeeded in coupling the spectral atmospheric model （SAMIL_R42L9） developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences （LASG/IAP/CAS） with the land surface model, Atmosphere-Vegetation-Interaction-Model （AVIM） and analyzed the climate basic state and land surface physical fluxes simulated by R42_AVIM. In this Part Ⅱ, we further evaluate the simulated results of the biological processes, including leaf area index （LAI）, biomass and net primary productivity （NPP） etc. Results indicate that R42_AVIM can simulate the global distribution of LAI and has good consistency with the monthly mean LAI provided by Max Planck Institute for Meteorology. The simulated biomass corresponds reasonably to the vegetation classifications. In addition, the simulated annual mean NPP has a consistent distribution with the data provided by IGBP and MODIS, and compares well with the work in literature. This land-atmosphere coupled model will offer a new experiment tool for the research on the two-way interaction between climate and biosphere, and the global terrestrial ecosystem carbon cycle.     

An Updated Coupled Model for Land-Atmosphere Interaction. Part I： Simulations of Physical Processes

A new two-way land-atmosphere interaction model （R42_AVIM） is fulfilled by coupling the spectral atmospheric model （SAMIL_R42L9） developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences （LASG/IAP/CAS） with the land surface model, Atmosphere-Vegetation-Interaction-Model （AVIM）. In this coupled model, physical and biological components of AVIM are both included. Climate base state and land surface physical fluxes simulated by R42_AVIM are analyzed and compared with the results of R42_SSIB [which is coupled by SAMIL_R42L9 and Simplified Simple Biosphere （SSIB） models]. The results show the performance of the new model is closer to the observations. It can basically guarantee that the land surface energy budget is balanced, and can simulate June-July-August （JJA） and December-January- February （DJF） land surface air temperature, sensible heat flux, latent heat flux, precipitation, sea level pressure and other variables reasonably well. Compared with R42_SSIB, there are obvious improvements in the JJA simulations of surface air temperature and surface fluxes. Thus, this land-atmosphere coupled model will offer a good experiment platform for land-atmosphere interaction research.     

An Updated Coupled Model for Land-Atmosphere Interaction. Part Ⅰ: Simulations of Physical Processes

A new two-way land-atmosphere interaction model (R42_AVIM) is fulfilled by coupling the spectral at- mospheric model (SAMIL_R42L9) developed at the State Key Laboratory of Numerical Modeling for Atmo- spheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sci- ences (LASG/IAP/CAS) with the land surface model, Atmosphere-Vegetation-Interaction-Model (AVIM). In this coupled model, physical and biological components of AVIM are both included. Climate base state and land surface physical fluxes simulated by R42_AVIM are analyzed and compared with the results of R42_SSIB [which is coupled by SAMIL_R42L9 and Simplified Simple Biosphere (SSIB) models]. The results show the performance of the new model is closer to the observations. It can basically guarantee that the land surface energy budget is balanced, and can simulate June-July-August (JJA) and December-January- February (DJF) land surface air temperature, sensible heat flux, latent heat flux, precipitation, sea level pressure and other variables reasonably well. Compared with R42_SSIB, there are obvious improvements in the JJA simulations of surface air temperature and surface fluxes. Thus, this land-atmosphere coupled model will offer a good experiment platform for land-atmosphere interaction research.     

An Updated Coupled Model for Land-Atmosphere Interaction. Part Ⅱ: Simulations of Biological Processes

In Part Ⅰ, the authors succeeded in coupling the spectral atmospheric model (SAMIL_R42L9) developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences (LASG/IAP/CAS) with the land surface model, Atmosphere-Vegetation-Interaction-Model (AVIM) and analyzed the climate basic state and land surface physical fluxes simulated by R42_AVIM. In this Part Ⅱ, we further evaluate the simulated results of the biological processes, including leaf area index (LAI), biomass and net primary productivity (NPP) etc. Results indicate that R42_AVIM can simulate the global distribution of LAI and has good consistency with the monthly mean LAI provided by Max Planck Institute for Meteorology. The simulated biomass corresponds reasonably to the vegetation classifications. In addition, the simulated annual mean NPP has a consistent distribution with the data provided by IGBP and MODIS, and compares well with the work in literature. This land-atmosphere coupled model will offer a new experiment tool for the research on the two-way interaction between climate and biosphere, and the global terrestrial ecosystem carbon cycle.     

NUMERICAL SIMULATIONS OF EFFECTS OF LAND SURFACE PROCESSES ON CLIMATE——IMPLEMENTING OF SSiB IN IAP/LASG AGCM AND ITS PERFORMANCE

This is an investigation of exchanges of energy and water between the atmosphere and thevegetated continents,and the impact of and mechanisms for land surface-atmosphere interactionson hydrological cycle and general circulation by implementing the Simplified Simple Biosphere(SSiB)model in a modified version of IAP/LASG global spectral general model(L9R15 AGCM).This study reveals that the SSiB model produces a better partitioning of the land surface heat andmoisture fluxes and its diurnal variations,and also gives the transport of energy and water amongatmosphere,vegetation and soil explicitly and realistically.Thus the coupled SSiB-AGCM runslead to the more conspicuous improvement in the simulated circulation,precipitation,mean watervapor content and its transport.particularly in the Asian monsoon region in the real world thanCTL-AGCM runs.It is also pointed out that both the implementation of land surfaceparameterizations and the variations in land surface into the GOALS model have greatly improvedhydrological balance over continents and have a significant impact on the simulated climate.particularly over the massive continents.Improved precipitation recycling model was employed to verify the mechanisms for landsurface hydrology parameterizations on hydrological cycle and precipitation climatology in AGCM.It can be argued that the recycling precipitation rate is significantly reduced,particularly in the aridand semi-arid region of the boreal summer hemisphere,coincident with remarkable reduction inevapotranspiration over the continental area.Therefore the coupled SSiB-AGCM runs reduce thebias of too much precipitation over land surface in most AGCMs,thereby bringing the simulatedprecipitation closer to observations in many continental regions of the world than CTL-AGCMruns.     

NUMERICAL SIMULATIONS OF EFFECTS OF LAND SURFACE PROCESSES ON CLIMATE--IMPLEMENTING OF SSiB IN IAP/LASG AGCM AND ITS PERFORMANCE*

This is an investigation of exchanges of energy and water between the atmosphere and the vegetated continents,and the impact of and mechanisms for land surface-atmosphere interactions on hydrological cycle and general circulation by implementing the Simplified Simple Biosphere(SSiB) model in a modified version of IAP/LASG global spectral general model(L9R15 AGCM).This study reveals that the SSiB model produces a better partitioning of the land surface heat and moisture fluxes and its diurnal variations,and also gives the transport of energy and water among atmosphere,vegetation and soil explicitly and realistically.Thus the coupled SSiB-AGCM runs lead to the more conspicuous improvement in the simulated circulation,precipitation,mean water vapor content and its transport.particularly in the Asian monsoon region in the real world than CTL-AGCM runs.It is also pointed out that both the implementation of land surface parameterizations and the variations in land surface into the GOALS model have greatly improved hydrological balance over continents and have a significant impact on the simulated climate.particularly over the massive continents.Improved precipitation recycling model was employed to verify the mechanisms for land surface hydrology parameterizations on hydrological cycle and precipitation climatology in AGCM.It can be argued that the recycling precipitation rate is significantly reduced,particularly in the arid and semi-arid region of the boreal summer hemisphere,coincident with remarkable reduction in evapotranspiration over the continental area.Therefore the coupled SSiB-AGCM runs reduce the bias of too much precipitation over land surface in most AGCMs,thereby bringing the simulatedprecipitation closer to observations in many continental regions of the world than CTL-AGCMruns.