A Study of Shallow Cumulus Cloud Droplet Dispersion by Large Eddy Simulations

Cloud droplet dispersion is an important parameter in estimating aerosol indirect effect on climate in general circulation models (GCMs). This study investigates droplet dispersion in shallow cumulus clouds under different aerosol conditions using three-dimensional large eddy simulations (LES). It is found that cloud droplet mean radius, standard deviation, and relative dispersion generally decrease as aerosol mixing ratio increases from 25 mg⁻¹ (clean case) to 100 mg⁻¹ (moderate case), and to 2000 mg⁻¹ (polluted case). Under all the three simulated aerosol conditions, cloud droplet mean radius and standard deviation increase with height. However, droplet relative dispersion increases with height only in the polluted case, and does not vary with height in the clean and moderate cases.     

A New Typhoon Bogus Data Assimilation and its Sampling Method: A Case Study

In this study,the authors introduce a new bogus data assimilation method based on the dimension-reduced projection 4-DVar,which can resolve the cost function directly in low-dimensional space.The authors also try a new method to improve the quality of samples,which are the base of dimension-reduced space projection bogus data assimilation (DRP-BDA).By running a number of numerical weather models with different model parameterization combinations on the typhoon Sinlaku,the authors obtained two groups of samples with different spreads and similarities.After DRP-BDA,the results show that,compared with the control runs,the simulated typhoon center pressure can be deepened by more than 20 hPa to 30 hPa and that the intensity can last as long as 60 hours.The mean track error is improved after DRP-BDA,and the structure of the typhoon is also improved.The wind near the typhoon center is enhanced dramatically,while the warm core is moderate.     

基于土壤植被不同参数化方法的流域蒸散发模拟

植被和土壤是水循环中的重要载体,模拟流域水循环时植被和土壤的参数化也显得尤为重要。通过对比流域蒸散发模拟中分布式模型和集总式概念模型的土壤植被参数化方法,计算了潘家口水库流域不同时间尺度上的流域蒸散发,分析了不同时间尺度下流域蒸散发的影响因素。通过分析得出:(1)分布式水文模型中的植被参数化方法包括对植被时空分布与变化的描述,以及与之相关的土壤-植被-大气中水分和能量的传输过程的描述。(2)从GBHM模型与流域水热耦合平衡模型的对比分析可知,在流域尺度上,年实际蒸散发与潜在蒸散发之间呈互补的高度非线性关系;但在山坡和小时时间尺度上,实际蒸散发与潜在蒸散发之间呈正比关系,并可近似为线性正比关系。(3)基于流域水热耦合平衡模型在不同时间尺度的参数化分析可知,考虑植被土壤水分和植被覆盖度能改善对流域蒸散发的年际和季节变化的模拟精度;土壤水分和植被的影响随着时间尺度变小表现得越来越显著。     

ENSEMBLE PREDICTION EXPERIMENTS OF TRACKS OF TROPICAL CYCLONES BY USING MULTIPLE CUMULUS PARAMETERIZATION SCHEMES

Ensemble prediction experiments of the tracks of eight tropical cyclones occurring between 2004 -2006 over the western Pacific have been performed by using MM5 with five cumulus parameterizations chemes. The results show that the predictions of the tracks of the tropical cyclones are sensitive to the selection of cumulus parameterization schemes. Each scheme has its own advantage and disadvantage, and the predications without cumulus parameterization schemes are not the worst, sometimes even better than the others. And all of the three ensemble methods improve the predictions of the tracks significantly, among which the ensemble method without parameterization schemes, the Grell, Betts-Miller and Kain-Fritsch schemes are the best.     

水文模型与陆面模式耦合研究进展

水文模型与陆面模式耦合是目前全球变化研究中的热点问题,如何实现分布式水文模型与陆面过程模式的双向耦合,并将其有机嵌入大气模式中,是未来大气环流模式(GCM)和区域气候模式(RCM)发展和完善的重要目标之一.在简单介绍陆面过程模式和水文模型发展历程的基础上,对水文模型和陆面过程耦合研究的国内外进展进行了综述,指出了模式耦合中存在的共同问题和未来工作的研究要点.最后,探讨了分布式水文模型与陆面模式耦合在全球变化研究框架中的地位与意义,并展望了陆面水文过程发展的主流趋势和研究方向.     

Incorporation of Non-Linear Effective Cross-Section Parameterizations into a Fast Photolysis Computation Code (Fast-J)

We have investigated several methods of incorporating laboratorymeasurements of effective cross-sections (quantum yield timesabsorption cross-section) that are non-linear functions oftemperature, pressure, and wavelength, into the Fast-J photolysis codeof Wild et al. (2000). The best method was found to beparameterization of the solar weighted effective cross-section usingthe form of the effective cross-section, with numerical fitting of theparameterization constants. Using this technique on the acetone dataof Gierczak et al. (1998) produces aparameterization which fits all points to within 1%. This methodshould also benefit other photolysis codes with large wavelength bins.     

水汽场初值调整及其对华南降水预报贡献的研究

该文利用GMS多通道气象卫星资料推导得到的降水资料估算出的加热率, 作为非绝热的非线性正规模初始化过程中的非绝热强迫项, 进行风压场的初值调整, 再采用一个与模式中的对流参数化方案相反的逆运算方案, 进行水汽场的初值调整.以保证初始时刻按模式的物理参数化方案计算得到的加热率与由卫星推导的加热率一致. 这一方法在非绝热的非线性正规模初值化的框架中, 使初始时刻的水汽场得到调整.既实现了传统的初始化目标, 又提高了模式对降水的短时预报效果.对华南的两个个例的试验结果表明该文的方法是有效的.     

不均匀地表产生的中尺度通量的数值试验

采用北京大学三维的复杂地形中尺度模式,结合陆面过程模式(SiB),模拟了草原和沙漠并存的下垫面的边界层大气运动.利用SiB模式计算了地表辐射、感热、潜热通量,并且预报地表温度.中尺度模式则模拟了沙漠地区受热抬升,形成的辐合运动,垂直速度的分布,不同高度上水平流场的变化以及中尺度动量和热量通量,把中尺度通量跟湍流通量进行了比较,以确定这种中尺度运动在GCM模式的参数化过程中的重要性.试验表明中尺度通量尤其是热量通量要比湍流通量大很多.     

The influences of boundary layer parameterization schemes on mesoscale heavy rain system

1.Introducti0nThemesoscaleoperationalmodel-whichisoftenused,isMM4orMM5'butMM4isusedfrequentlyonlO3kmscale.Thephysicalprocessesinthismodeldevelopconstantly.FororiginalMM4,thecomputationofsurfacefluxesisnotaccurate,andKmodelfortheturbu-lencefluxesbetweenany2levelsneedstobeimprovedbynewtreatment.Inordertostudytheinfluencesofboundarylayerparameterizationschemesonmesoscaleheavyrainsystem,sur-facefluxesandKmodelinoriginalMM4areimprovedbytherecentresearchinthispaPer.Theflux-profilerelationsforv…     

A Simulating Study on Resolvable-Scale Microphysical Parameterization in a Mesoscale Model

The Penn State/ NCAR Mesoscale Model (MM5) is used to simulate the precipitation event that oc-curred during 1-2 May 1994 to the south of the Yangtze River. In five experiments the Kain-Fritsch scheme is made use of for the subgrid-scale convective precipitation, but five different resolvable-scale microphysical parameterization schemes are employed. They are the simple super-saturation removal scheme, the warm rain scheme of Hsie et al. (1984), the simple ice scheme of Dudhia (1989), the complex mixed-phase scheme developed by Reisner et al. (1993). and the GSFC microphysical scheme with graupel. Our interest is how the various resolvable-scale schemes affect the domain-averaged precipitation, the pre-cipitation distribution, the sea level pressure, the cloud water and the cloud ice.Through a series of experiments about a warm sector rainfall case, results show that although the dif-ferent resolvable-scale scheme is used, the differences of the precipitation characteristics among all five runs are not very obvious. However, the precipitation is over-predicted and the strong mesoscale low is produced by the simple super-saturation removal scheme. The warm rain scheme with the inclusion of condensation and evaporation under-predicts the precipitation and allows the cloud water to reach the 300 hPa level The scheme of the addition of graupel increases the resolvable-scale precipitation by about 20%–30%. The inclusion of supercooled liquid water in the grid-scale scheme does not affect significantly the results.