The African Climate as Predicted by the IAP Grid-Point Nine-Layer Atmospheric General Circulation Model (IAP-9L-AGCM)

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Dynamical Framework of IAP Nine-Level Atmospheric General Circulation Model

The dynamical framework of the nine-level version of the IAP AGCM is presented in this paper. The emphasis of the model's description is put on the following two aspects:(1) A model's standard atmosphere, which is a satisfactory approximation to the observed troposphere and lower stratosphere standard atmosphere, is introduced into the equations of the model to permit a more accurate calculation of the vertical transport terms, especially near the tropopause; (2) The vertical levels of the model are carefully selected to guarantee a smooth dependence of layer thickness upon pressure in order to reduce the truncation error involved in the unequal interval vertical finite-differencing. For testing the model, two kinds of linear baroclinic Rossby-Haurwitz waves, one of which has a dynamically stable vertical structure and the other has a relatively unstable one, are constructed to provide initial conditions for numerical experiments. The two waves have been integrated for more than 300 days and 100 days respectively by using the model and both of them are propagating westward with almost identical phase-speed during the time period of the integrations. No obvious change of the wave patterns is found at the levels in the model's troposphere. The amplitudes of both two waves at the uppermost level, however, exhibit rather significant oscillation with time, of which the periods are exactly 20 days and 25 days espectively.The explanation of this interesting phenomena is still under investigation.

The Seasonal Climatic Simulation of 9000 Years before Present by Using the IAP Atmospheric General Circulation Model

The seasonal cycle of the climate of 9000 years before present was simulated with the IAP two-level atmospheric general circulation model. The incoming solar radiation was specified from the orbital parameters for 9000 years ago. The boundary conditions of that time were prescribed to the present value because of the small differences between the two. The change in radiation makes temperature to be higher in summer and lower in winter over large areas of the land; and the increased temperature contrast between the land and the ocean strengthens the summer monsoon circulation and increases the precipitation over there. The asymmetry of temperature change between the Northern Hemisphere and the Southern Hemisphere and between summer and winter still exists, which agrees with that get from the previous perpetual experiments.

High Resolution Global Modeling of the Atmospheric Circulation

An informal review is presented of recent developments in numerical simulation of the global atmospheric circulation with very fine numerical resolution models, The focus is on results obtained recently with versions of the GFDL SKYHI model and the Atmospheric Model for the Earth Simulator （AFES） global atmospheric models. These models have been run with effective horizontal grid resolution of -10-40 km and fine vertical resolution. The results presented demonstrate the utility of such models for the study of a diverse range of phenomena, Specifically the models are shown to simulate the development of tropical cyclones with peak winds and minimum central pressures comparable to those of the most intense hurricanes actually observed, More fundamentally, the spectrum of energy content in the mesoscale in the flow can be reproduced by these models down to near the smallest explicitly-resolved horizontal scales, in the middle atmosphere it is shown that increasing horizontal resolution can lead to significantly improved overall simulation of the global-scale circulation, The application of the models to two specific problems requiring very fine resolution global will be discussed, The spatial and temporal variability of the vertical eddy flux of zonal momentum associated with gravity waves near the tropopause is evaluated in the very fine resolution AFES model, This is a subject of great importance for understanding and modelling the flow in the middle atmosphere, Then the simulation of the small scale variations of the semidiurnal surface pressure oscillation is analyzed, and the signature of significant topographic modulation of the semidiurnal atmospheric tide is identified.

A Study on Sulfate Optical Properties and Direct Radiative Forcing Using LASG-IAP General Circulation Model

The direct radiative forcing （DRF） of sulfate aerosols depends highly on the atmospheric sulfate loading and the meteorology, both of which undergo strong regional and seasonal variations. Because the optical properties of sulfate aerosols are also sensitive to atmospheric relative humidity, in this study we first examine the scheme for optical properties that considers hydroscopic growth. Next, we investigate the seasonal and regional distributions of sulfate DRF using the sulfate loading simulated from NCAR CAM-Chem together with the meteorology modeled from a spectral atmospheric general circulation model （AGCM） developed by LASG-IAP. The global annual-mean sulfate loading of 3.44 mg m-2 is calculated to yield the DRF of -1.03 and -0.57 W m-2 for clear-sky and all-sky conditions, respectively. However, much larger values occur on regional bases. For example, the maximum all-sky sulfate DRF over Europe, East Asia, and North America can be up to -4.0 W m-2. The strongest all-sky sulfate DRF occurs in the Northern Hemispheric July, with a hemispheric average of -1.26 W m-2. The study results also indicate that the regional DRF are strongly affected by cloud and relative humidity, which vary considerably among the regions during different seasons. This certainly raises the issue that the biases in model-sinmlated regional meteorology can introduce biases into the sulfate DRF. Hence, the model processes associated with atmospheric humidity and cloud physics should be modified in great depth to improve the simulations of the LASG-IAP AGCM and to reduce the uncertainty of sulfate direct effects on global and regional climate in these simulations.

Prediction of the Asian-Australian Monsoon Interannual Variations with the Grid-Point Atmospheric Model of IAP LASG(GAMIL)

Seasonal prediction of Asian-Australian monsoon （A-AM） precipitation is one of the most important and challenging tasks in climate prediction. In this paper, we evaluate the performance of Grid Atmospheric Model of IAP LASG （GAMIL） on retrospective prediction of the A-AM interannual variation （IAV）, and determine to what extent GAMIL can capture the two major observed modes of A-AM rainfall IAV for the period 1979-2003. The first mode is associated with the turnabout of warming （cooling） in the Nifio 3.4 region, whereas the second mode leads the warming/cooling by about one year, signaling precursory conditions for ENSO. We show that the GAMIL one-month lead prediction of the seasonal precipitation anomalies is primarily able to capture major features of the two observed leading modes of the IAV, with the first mode better predicted than the second. It also depicts the relationship between the first mode and ENSO rather well. On the other hand, the GAMIL has deficiencies in capturing the relationship between the second mode and ENSO. We conclude： （1） successful reproduction of the E1 Nifio-excited monsoon-ocean interaction and E1 Nifio forcing may be critical for the seasonal prediction of the A-AM rainfall IAV with the GAMIL; （2） more efforts are needed to improve the simulation not only in the Nifio 3.4 region but also in the joining area of Asia and the Indian-Pacific Ocean; （3） the selection of a one-tier system may improve the ultimate prediction of the A-AM rainfall IAV. These results offer some references for improvement of the GAMIL and associated seasonal prediction skill.

Simulations of the Tropical Intraseasonal Oscillation by the Atmospheric General Circulation Model of the Beijing Climate Center

The performance of BCC （Beijing Climate Center） AGCM 2.0.1 （Atmospheric General Circulation Model version 2.0.1） in simulating the tropical intraseasonal oscillation （TIO） is examined in this paper.The simulations are validated against observation and compared with the NCAR CAM3 （Community Atmosphere Model version 3） results.The BCC AGCM2.0.1 is developed based on the original BCC AGCM （version 1） and NCAR CAM3.New reference atmosphere and reference pressure are introduced into the model.Therefore,the original prognostic variables of temperature and surface pressure become their departures from the reference atmosphere.A new Zhang-McFarlane convective parameterization scheme is incorporated into the model with a few modifications.Other modifications include those in the boundary layer process and snow cover calculation.All simulations are run for 52 yr from 1949 to 2001 under the lower boundary conditions of observed monthly SST.The TIOs from the model are analyzed.The comparison shows that the NCAR CAM3 has a poor ability in simulating the TIO.The simulated strength of the TIO is very weak.The energy of the eastward moving waves is similar to that of the westward moving waves in CAM3.While in observation the former is much larger than the latter.The seasonal variation and spatial distribution of the TIO produced by CAM3 are also much different from the observation.The ability of the BCC AGCM2.0.1 in simulating the TIO is significantly better.The simulated TIO is evident.The strength of the TIO produced by the BCC AGCM2.0.1 is close to the observation.The energy of eastward moving.waves is much stronger than that of the westward moving waves,which is consistent with the observation.There is no significant difference in the seasonal variation and spatial distribution of the TIO between the BCC model simulation and the observation.In general,the BCC model performs better than CAM3 in simulating the TIO.

Coupling the Common Land Model to ECHAM5 Atmospheric General Circulation Model

The ECHAM5 model is coupled with the widely used Common Land Model(CoLM). ECHAM5 is a state-of-theart atmospheric general circulation model incorporated into the integrated weather and climate model of the Chinese Academy of Meteorological Sciences(CAMS-CSM). Land surface schemes in ECHAM5 are simple and do not provide an adequate representation of the vegetation canopy and snow/frozen soil processes. Two AMIP(Atmospheric Model Intercomparison Project)-type experiments using ECHAM5 and ECHAM5-CoLM are run over 30 yr and the results are compared with reanalysis and observational data. It is found that the pattern of land surface temperature simulated by ECHAM5-CoLM is significantly improved relative to ECHAM5. Specifically, the cold bias over Eurasia is removed and the root-mean-square error is reduced in most regions. The seasonal variation in the zonal mean land surface temperature and the in situ soil temperature at 20-and 80-cm depths are both better simulated by ECHAM5-CoLM. ECHAM5-CoLM produces a more reasonable spatial pattern in the soil moisture content, whereas ECHAM5 predicts much drier soils. The seasonal cycle of soil moisture content from ECHAM5-CoLM is a better match to the observational data in six specific regions. ECHAM5-CoLM reproduces the observed spatial patterns of both sensible and latent heat fluxes. The strong positive bias in precipitation over land is reduced in ECHAM5-CoLM, especially over the southern Tibetan Plateau and middle–lower reaches of the Yangtze River during the summer monsoon rainy season.

Evaluation of Spring Persistent Rainfall over East Asia in CMIP3/CMIP5 AGCM Simulations

The progress made fi＇om Phase 3 to Phase 5 of the Coupled Model Intercomparison Project （CMIP3 to CMIP5） in simulating spring persistent rainfall （SPR） over East Asia was examined from the outputs of nine atmospheric general circulation models （AGCMs）. The majority of the models overestimated the precipitation over the SPR domain, with the mean latitude of the SPR belt shifting to the north. The overestimation was about 1mm d-1 in the CMIP3 ensemble, and the northward displacement was about 3°, while in the CMIP5 ensemble the overestimation was suppressed to 0.7 mm d-i and the northward shift decreased to 2.5°. The SPR features a northeast-southwest extended rain belt with a slope of 0.4°N/°E. The CMIP5 ensemble yielded a smaller slope （0.2°N/°E）, whereas the CMIP3 ensemble featured an unre- alistic zonally-distributed slope. The CMIP5 models also showed better skill in simulating the interannual variability of SPR. Previous studies have suggested that the zonal land-sea thermal contrast and sensible heat flux over the southeastern Tibetan Plateau are important for the existence of SPR. These two ther- mal factors were captured well in the CMIP5 ensemble, but underestimated in the CMIP3 ensemble. The variability of zonal land-sea thermal contrast is positively correlated with the rainfall amount over the main SPR center, but it was found that an overestimated thermal contrast between East Asia and South China Sea is a common problem in most of the CMIP3 and CMIP5 models. Simulation of the meridional thermal contrast is therefore important for the future improvement of current AGCMs.

A GROUND HYDROLOGIC MODEL WITH INCLUSION OF A LAYER OF VEGETATION CANOPY THAT CAN INTERACT WITH GENERAL CIRCULATION MODEL

In this paper, a ground hydrologic model(GHM) is presented in which the vapor, heat and momentum exchanges between ground surface covers (including vegetation canopy) and atmosphere is described more realistically. The model is used to simulate three sets of field data and results from the numerical simulation agree with the field data well. GHM has been tested using input data generated by general circulation model (GCM) runs for both the North American regions and the Chinese regions, The results from GHM are quite different from those of GHMs in GCMs. It shows that a more active concerted effort on the land surface process study to provide a physically realistic GHM for predicting the exchange between land and atmosphere is important and necessary.

Modelling the January and July Climate of 9000 Years before Present

The January and July climate of 9000 years before present was simulated through a set of perpetual experimentsby means of the newly designed 9 Level Atmospheric General Circulation Model (AGCM) in the institute of Atmospheric Physics (IAP). The results were analysed and compared with previous results simulated by the IAP 2Level AGCM. There exists good agreement between them. It is found that the temperature is higher in July and lower inJanuary in 9000 yBP than that at present. The temperature difference is more obvious in the Northern Hemispherethan in the Southern Hemisphere and greater in July than in January. These results prove the potential abilities of theg-L AGCM in the climate simulation and climate prediction.

Dependence of the AGCM Climatology on the Method of Prescribing Surface Boundary Conditions and Its Climatological Implication

By using IAP 9L AGCM, two sets of long-term climatological integration have been performed with the two different interpolation procedures for generating the daily surface boundary conditions. One interpolation procedure is the so-called “traditional” scheme, for which the daily surface boundary conditions are obtained by linearly interpolating between the observed monthly mean values, however the observed monthly means cannot be preserved after interpolation. The other one is the “new” scheme, for which the daily surface boundary conditions are obtained by linearly interpolating between the “artificial” monthly mean values which are based on, but are different from the observed ones, after interpolating with this new scheme, not only the observed monthly mean values are preserved, the time series of the new generated daily values is also more consistent with the observation. Comparison of the model results shows that the differences of the globally or zonally averaged fields between these two integrations are quite small, and this is due to the compensating effect between the different regions. However, the differences of the two patterns (the global or regional geographical distributions), are quite significant, for example, the magnitude of the difference in the JJA mean rainfall between these two integrations can exceed 2 mm/ day over Asian monsoon regions, and the difference in DJF mean surface air temperature can also exceed 2?C over this region. The fact that the model climatology depends quite strongly on the method of prescribing the daily surface boundary conditions suggests that in order to validate the climate model or to predict the short-term climate anomalies, either the “new? interpolation scheme or the high frequency surface boundary conditions (e.g., daily or weekly data instead of the monthly data) should be introduced. Meanwhile, as for the coupled model, the daily coupling scheme between the different component climate models ( e.g., atmospheric and oceanic general circulation models) is preferred in order to partly eliminate the “climate drift” problem which may appear during the course of direct coupling.

北京气候中心大气环流模式对季节内振荡的模拟

对北京气候中心大气模式(BCC AGCM2.0.1)模拟热带季节内振荡的能力进行了检验。北京气候中心新一代气候模式(BCC AGCM2.0.1)是在原中国国家气候中心模式的基础上参考NCAR CAM3改进形成的。新模式中引进了一个新的参考大气和参考面气压。因此原模式的预报量中的气温(T)和地面气压(p_s)则变为它们对参考大气气温的偏差和对参考面气压的偏差。模式还加入了新的Zhang-Mcfarlane对流参数化方案,并对其参数计算方法进行调整和改进。此外还对模式边界层处理、雪盖计算等进行了改进。上述模式在实测的月海温作为下边界条件的情况下运行52年(1949年9月—2001年10月)。然后对运行结果中的季节内振荡的状况进行分析,主要结果如下:NCAR CAM3模式模拟热带季节内振荡的能力很差,主要表现在模拟的热带季节内振荡强度很弱;东移波与西移波的强度很接近,而实际观测中是东移波的能量要远大于西移波;季节内振荡的季节变化及空间分布与观测相差很远。北京气候中心大气模式(BCC AGCM2.0.1)模拟热带季节内振荡的能力有显著的提高。模拟的热带季节内振荡很明显,强度接近于观测结果;模拟东移波的能量要大于西移波,这与观测较为一致;季节内振荡的季节变化和空间分布与观测相差不大。总的来看,BCC AGCM2.0.1模式在模拟热带季节内振荡方面比CAM3模式有明显的改进。

利用大气环流模式模拟北大西洋海温异常强迫响应

北大西洋地区的海温异常能够在多大程度上对大气产生影响,一直是一个有争议的问题。作者利用伴随北大西洋涛动出现的海温异常对大气环流模式CAM2.0.1进行强迫,考察了模式在冬季(12月、1月和2月)对三核型海温异常的响应。通过与欧洲中期天气预报中心提供的再分析资料的对比,发现该模式可以通过海温强迫在一定程度上再现具有北大西洋涛动特征的温度场和环流场。在北大西洋及其沿岸地区,模式模拟出了三核型的准正压响应,与经典的北大西洋涛动型大气异常是一致的。模式结果与北大西洋地区大气内部主导模态的差别主要体现在两个方面:一是异常中心位置多偏向于大洋上空,在陆地上的异常响应强度很弱;二是高纬地区对海温异常的响应不显著,没有强迫出与实际的大气模态相对应的异常中心,表明该地区海洋的反馈作用较弱。

青藏高原积雪异常对亚洲夏季风气候的影响

为了研究青藏高原积雪异常对亚洲夏季风气候的影响,从季风环流和季风降水等方面综合分析了高原积雪异常对气候的影响,并利用IAP 9L AGCM模式,对高原雪量进行了增加和减少的数值试验。从而提出高原多(少)雪年南亚夏季风偏弱(强),东亚夏季风反而偏强(弱)的新观点。高原积雪异常会导致高原上空大气垂直运动的扰动,扰动传播到下游致使我国长江流域和西太副高所在区域大气对流运动发生变化。高原多(少)雪,夏季我国南方的偏南风增强(减弱),有利于水汽从孟加拉湾和南海向我国大陆输送,但到长江流域时,由于偏南风存在较强(弱)的辐合,江淮流域偏涝(旱)。

气候数值模拟研究中初始场衰减理论的理解和应用

根据对大气原始方程的定性理论和相空间的理论研究,初始场对数值模拟的作用会随着时间的增长而逐步衰减。文章分析初始场作用衰减理论的关键问题,通过对大气环流谱模式SAMIL和ECHAM的数值试验,在实际的计算环境中研究其初始场作用的变化情况。研究中使用到对舍入误差干扰的一种集合消减方法(REME),保证了验证试验所受舍入误差的影响小于给定的范围。结果表明有舍入误差存在的计算环境中,当初始差别较大时,其逐步衰减到一个波动值。而对于特别微小的初始场差别,其长期影响也应是衰减的,但由于计算精度有限,可能会出现增大到一个波动值的现象,这些结果与非线性误差理论所描述的误差饱和现象一致。试验得到了具体模式的衰减速率曲线,发现衰减需要的时间范围大约为40—60d。文中还利用初始场作用衰减的理论探讨了如何解释初始场集合预报(IME)能够减少模拟结果误差的现象。

大气环流模式性能特点分析

地球系统模式是模拟气候系统行为和变化的重要工具,在气候研究中扮演着重要的角色。大气环流模式是地球系统模式的一个重要部分。地球科学的快速发展对大气环流模式的分辨率提出越来越高的要求。高性能计算机的发展为更高分辨率大气环流模式的研究提供必要的硬件环境。但是当前并没有针对大气环流模式的高性能计算的特征和需求等方面的研究。中科院大气所(LASG)发展的格点大气环流模式(GAMIL)被选为代表,分析大气环流模式的性能特点,并且建立了性能模型。这些分析和性能模型将为预测未来大气环流模式的性能特征和提升性能提供帮助。

Dynamical framework with blocking topography coordinates for atmospheric GCM and its validation

The dynamical framework with Blocking To-pography Coordinates (hereafter, BTC), which is suited tohandle the steep topography for the atmospheric generalcirculation models, is presented in this paper, together withits validation results. The integral properties of both the dif-ferential and finite-difference equations for the BTC dy-namical core are: gross mass conservation, quadratic con-servation for advection terms, Coriolis force does not changethe kinetic energy, conservation of total available energy. Theimproved nonlinear iteration scheme is utilized for thetime-integration. The energy conservation for BTC dynami-cal core is validated by using the integration results from9-layer and 21-layer version respectively. Comparison resultsshow that, the changes of the kinetic energy and total avail-able potential energy during the integration are quite closefor both the BTC dynamical framework and the dynamicalframework of IAP 9-level and IAP 21-level AGCM, and thismay suggest that the BTC dynamical core can be used forlong-term integration with good computational stability.Furthermore, the BTC dynamical core has the advantageover the terrain following (sigma) coordinates in its betterrepresentation of the influence of the large-scale topographyon the atmospheric general circulation. Finally, the correct-ness and reasonableness of the BTC dynamical core has beenfurther proved by the numerical simulation of the topogra-phy influence on the quasi-stationary planetary wave with21-layer version of BTC dynamical framework.

Severe winter weather as a response to the lowest Arctic sea-ice anomalies

Possible impact of reduced Arctic sea-ice on winter severe weather in China is investigated regarding the snowstorm over southern China in January 2008. The sea-ice conditions in the summer （July-September） and fall （September-November） of 2007 show that the sea-ice is the lowest that year. During the summer and fall of 2007, sea ice displayed a significant decrease in the East Siberian, the northern Chukchi Sea, the western Beaufort Sea, the Barents Sea, and the Kara Sea. A ECHAM5.4 atmospheric general circula- tion model is forced with realistic sea-ice conditions and strong thermal responses with warmer surface air temperature and higher-than-normal heat flux associated with the sea-ice anomalies are found. The model shows remote atmospheric responses over East Asia in January 2008, which result in severe snowstorm over southern China. Strong water-vapor transported from the Bay of Bengal and from the Pacific Ocean related to Arctic sea-ice anomalies in the fall （instead of summer） of 2007 is considered as one of the main causes of the snowstorm formation.

Numerical Simulation and Comparison Study of the Atmospheric Intraseasonal Oscillation

Daily mean outputs for 12 yr （1978-1989） from two general circulation models （SAMIL-R42L9 and CAM2.0.2） are analyzed and compared with the corresponding NCEP/NCAR reanalysis dataset, and results in two models show clearly that the root-mean square errors （RMSEs） from the simulation of intraseasonal oscillation can take 30-40 percent of the total RMSE, particularly, the distributions of the RMSE in simulating intraseasonal oscillation are almost identical with that of the total RMSE. The maximum RMSE of intraseasonal oscillation height at 500 hPa is shown in the middle latitude regions, but there are also large RMSEs of intraseasonal oscillation wind over the tropical western Pacific and tropical Indian Oceans. The simulated ISO energy in the tropic has very large difference from the result of the NCEP/NCAR reanalysis dataset which means the simulation of tropical atmospheric ISO still possesses serious insufficiency. Therefore, intraseasonal oscillation in the weather and climate numerical simulation is very important, and thus, how to improve the ability of the GCM to simulate the intraseasonal oscillation becomes very significant.