藉物理耗散技术改进强降水数值模拟的初步研究

利用PSU/NCAR非静力中尺度模式MM5V3,对影响我国北方一次非汛期突发性强降水过程实例,进行了三重嵌套模式区域采用若干不同降水方案(特别是采用显式微物理方案与积云对流参数化方案若干组合)的对比试验,在揭示物理耗散技术正是通过将模式水平扩散方案纠正到符合热力学第二定律的约束而使该中尺度模式的模拟精度和模拟质量获得明显提高的物理实质的同时,从一个侧面证实了数值模式引入第二定律对提高数值天气预报准确率的重要性。     

Regional climate simulations for the European Alpine Region��sensitivity of precipitation to large-scale flow conditions of driving input data

The MM5 modelling system has been used to perform regional climate simulations over Western Europe on a 45-km grid for the years 1971 to 2000. We focus our analysis on the impact of the driving input data on simulated precipitation in the Alpine area. Using ERA40 reanalysis data, the MM5 climatology of precipitation compares reasonably well with an observational climatology for the Alpine region. Switching to an ECHAM5 climate simulation as driving data induces excessive overprediction by up to 80% in the colder seasons there, primarily over the Alpine slopes. The large-scale flow provided by the global datasets revealed moderate differences indicating an increased number of low-pressure systems travelling from the Atlantic into the Alpine region for ECHAM5 compared with ERA40. Mean seasonal 700-hPa wind speeds correspondingly showed higher values for the ECHAM5 driven simulation in the central Alps. Partitioning three-hourly 700-hPa winds according to direction and speed in the central Alps specifically revealed a distinct shift to stronger westerly and north-westerly winds. Furthermore, aggregating three-hourly rainfall amounts to the same wind direction and wind speed intervals as for the wind statistics revealed strongly intensified precipitation due to the overly intense westerly winds, implying too intense orographic precipitation enhancement.     

中尺度模式中各种湿物理过程的数值模拟

利用PSU／NCAR的MM5对1999年6月下旬发生在江淮流域的梅雨锋暴雨进行数值模拟试验，研究MM5中不同湿物理过程中对MM5模拟梅雨锋暴雨的影响。试验结果显示：中尺度模式MM5能一定程度再现一些观测的中尺度特征，对流参数化方案对网格格距的大小比较敏感；显式云物理方案考虑冰相后可明显改善模式对暴雨的模拟能力，尤其是采用Reisner包含霰的混合相双变参数谱方案的双重嵌套网格对降水量的模拟取得较好的效果。     

Customization of regional climate model (RegCM4) over Indian region

The regional climate model (RegCM4) is customized for 10-year climate simulation over Indian region through sensitivity studies on cumulus convection and land surface parameterization schemes. The model is configured over 30° E–120° E and 15° S–45° N at 30-km horizontal resolution with 23 vertical levels. Six 10-year (1991–2000) simulations are conducted with the combinations of two land surface schemes (BATS, CLM3.5) and three cumulus convection schemes (Kuo, Grell, MIT). The simulated annual and seasonal climatology of surface temperature and precipitation are compared with CRU observations. The interannual variability of these two parameters is also analyzed. The results indicate that the model simulated climatology is sensitive to the convection as well as land surface parameterization. The analysis of surface temperature (precipitation) climatology indicates that the model with CLM produces warmer (dryer) climatology, particularly over India. The warmer (dryer) climatology is due to the higher sensible heat flux (lower evapotranspiration) in CLM. The model with MIT convection scheme simulated wetter and warmer climatology (higher precipitation and temperature) with smaller Bowen ratio over southern India compared to that with the Grell and Kuo schemes. This indicates that a land surface scheme produces warmer but drier climatology with sensible heating contributing to warming where as a convection scheme warmer but wetter climatology with latent heat contributing to warming. The climatology of surface temperature over India is better simulated by the model with BATS land surface model in combination with MIT convection scheme while the precipitation climatology is better simulated with BATS land surface model in combination with Grell convection scheme. Overall, the modeling system with the combination of Grell convection and BATS land surface scheme provides better climate simulation over the Indian region.     

Simulation of heavy precipitation episode over eastern Peninsular Malaysia using MM5: sensitivity to cumulus parameterization schemes

A comparative study has been conducted to investigate the skill of four convection parameterization schemes, namely the Anthes–Kuo (AK), the Betts–Miller (BM), the Kain–Fritsch (KF), and the Grell (GR) schemes in the numerical simulation of an extreme precipitation episode over eastern Peninsular Malaysia using the Pennsylvania State University—National Center for Atmospheric Research Center (PSU-NCAR) Fifth Generation Mesoscale Model (MM5). The event is a commonly occurring westward propagating tropical depression weather system during a boreal winter resulting from an interaction between a cold surge and the quasi-stationary Borneo vortex. The model setup and other physical parameterizations are identical in all experiments and hence any difference in the simulation performance could be associated with the cumulus parameterization scheme used. From the predicted rainfall and structure of the storm, it is clear that the BM scheme has an edge over the other schemes. The rainfall intensity and spatial distribution were reasonably well simulated compared to observations. The BM scheme was also better in resolving the horizontal and vertical structures of the storm. Most of the rainfall simulated by the BM simulation was of the convective type. The failure of other schemes (AK, GR and KF) in simulating the event may be attributed to the trigger function, closure assumption, and precipitation scheme. On the other hand, the appropriateness of the BM scheme for this episode may not be generalized for other episodes or convective environments.     

水汽输送的算法精度与模式暴雨预报能力的对比分析

利用中尺度模式ＭＭ４，研究了中尺度模式的暴雨模拟对于不同不汽输送方案的敏感性。采用５种平流差分格式来计算水汽的水平输送，用该模式对３次暴雨过程作了数值试验。并把不同方案的降水模拟结果与实况进行了对比。结果表明，中尺度模式的暴雨模拟对水汽输送方案十分敏感，正定高精度的Ｐｒａｔｈｅｒ格式的模拟结果最接近实况。     

Sensitivity evaluation of the different physical parameterizations schemes in regional climate model RegCM4.5 for simulation of air temperature and precipitation over North and West of Iran

In this research the dynamic downscaling method by Regional Climate Model (RegCM4.5) was used to assess the performance and sensitivity of seasonal simulated North and West of Iran (NI&WI) climate factors to different convection schemes, and transforms the large-scale simulated climate variables into land surface states over the North of Iran (NI) and West of Iran (WI). A 30-year (1986–2015) numerical integration simulation of climate over NI&WI was conducted using the regional climate model RegCM4.5 nested in one-way ERA-Interim reanalysis data. The Grell, Kuo and MIT-Emanuel cumulus convection with Holtslag and University of Washington (UW) planetary boundary layer (PBL) parameterization schemes were applied in the running of RegCM4.5 to test their capability in simulating precipitation and temperature in winter-spring (January–April) over NI and WI. The results demonstrated that the RegCM4.5 model has a good potential for simulating the variables and trend of surface temperature over the NI and WI region. Magnitude of the model bias for land surface temperature over different regions of Iran varies by convection parameterization schemes. In most cases, the root mean square error between post-processed simulated seasonal average temperature and observation value was less than 1 °C, but there is a systematic “cold bias”. In general, with respect to land surface temperature simulations, a better performance is obtained when using post-processing model’s data with Holtslag PBL-Grell and Holtslag PBL-Kuo configuration schemes, compared to the other simulations, over the NI&WI region. Also, the UW PBL convection schemes show a relatively excellent spatial correlations and normalized standard deviations closer to 1 for thirty-year seasonal land surface temperature anomalies over the entire NI&WI region. However, the simulation accuracy of model for precipitation is not as optimal as for temperature. The dominant feature in model simulations is a dry bias with the largest average value (∼1.04 mm/day) over NI region, while the lowest mean bias precipitation (∼−0.47 mm/day), mainly located in WI region. In the comparison of six configuration convection schemes, the Emanuel scheme has been proven to be the most accurate for simulating winter-spring seasonal mean precipitation over NI&WI region. The accuracy of the scheme also showed great difference in simulated station interpolation of precipitation, which urges the improvement for the simulation capability of spatial distribution of precipitation. In general, for seasonal variation of precipitation, the Emanuel convection with two (Holtslag, UW) PBL configuration schemes outperforms with a good correlation score between 0.7−0.8 and normalized standard deviations closer to 1.     

MM5 simulations of interannual change and the diurnal cycle of southern African regional climate

Summary Two cumulus convection and two planetary boundary layer schemes are used to investigate the climate of southern Africa using the MM5 regional climate model. Both a wet (1988/89) and a dry (1991/92) summer (December–February, DJF) rainfall season are simulated and the results compared with three different observational sources: Climate Research Unit seasonal data (precipitation, 2 m surface temperature, number of rain days), satellite-derived diurnal precipitation and the Surface Radiation Budget diurnal short-wave fluxes and optical depth. Using the ETA model boundary layer in MM5 simulates too much incident short-wave radiation at the surface at 12 UTC, whereas the medium range forecast model boundary layer yields a diurnal cycle of short-wave radiation closer to the observed. The Betts-Miller convection scheme in MM5 simulates peak rainfall later in the day and less rain days than observed, whereas when using the Kain-Fritsch convection scheme a peak rainfall earlier in the day and more rain days than observed are simulated. The intensity of the hydrological cycle is therefore dependent on the choice of convection scheme, which in turn is further modified by the boundary layer scheme. Precipitation during the wet 1988/89 season is reasonably captured by most simulations, though using the Betts-Miller scheme more accurately simulates rainfall during the dry 1991/92 season. Mean DJF biases in the surface temperature and diurnal temperature range are consistent with biases in the number of rain days and the diurnal cycles of surface moisture and energy.     

The sensitivity of numerical forecasts to convective parameterization during the warm period and the use of lightning data as an indicator for convective occurrence

The sensitivity of numerical model quantitative precipitation forecasts to the choice of the convective parameterization scheme (CPS) is examined for twenty selected cases characterized by intense convective activity and widespread precipitation over Greece, during the warm period of 2005–2007. Namely, the study is conducted using MM5 model and the following three different CPSs: Kain–Fritsch, Grell and Betts–Miller–Janjic. Sixty numerical simulations were carried out on two nested domains, with horizontal grid increments of 24 and 8 km respectively. The simulated precipitation from the 8-km grid was verified against raingauge measurements and lightning data provided by the ZEUS long-range lightning detection system, operated by the National Observatory of Athens. Verification results showed that for all three schemes the model presented a tendency to overestimate light to moderate rain while in general it underestimated the high precipitation amounts. The validation against both sources of data showed that among the three CPSs, the more consistent behavior in quantitative precipitation forecasting was obtained by the Kain–Fritsch scheme that provided the best statistical scores. However, the differences of the results of statistical analysis between the Kain–Fritsch and Grell schemes were not large.     

A Numerical Study of Sensitivity of the Physical Dissipative Technique to Precipitation Parameterization in a Mesoscale Model

1. IntroductionRecently, the improvement of accuracy in the out-puts of a numerical mesoscale model by the physi-cal dissipative technique is reached (Liu et al., 2002;Liu and Liu, 2003). The effect of improvement ofthis technique differs not only from model to model,but from scheme to scheme of parameterization em-ployed in the same model. The rapid developmentof the computer technology makes possible the com-plicated numerical experiments by a model with highresolution and multiple domains …     

Evaluation of summer temperature and precipitation forecasts generated by the MM5 model over central European Russia

The results of the MM5 regional meteorological model are compared with the station data. The simulations are carried out for the central part of the East European Plain for summer with a horizontal grid resolution of 15 km (24 × 34 grid points) and 24 vertical σ-levels, the upper level corresponding to 100 hPa. The MM5 model reliably reproduces information at a spatial scale of about 100 km, systematically overestimating temperature by about 1.5°C and underestimating daily precipitation totals by about 1 mm. The distribution functions for model and observed temperatures coincide with the Gaussian distribution function. The precipitation distribution functions are rather similar and have a form of the χ²-distribution with one degree of freedom. Station and model temperature extremes generally coincide in time. Extremes of daily precipitation totals are slightly underestimated by MM5.     

模式水平分辨率对祁连山区降水模拟影响的初步分析

利用中尺度模式MM5V3．6，针对祁连山地区2002年7月14～17日的一次降水过程，设计了一组不同水平分辨率的试验进行数值模拟。并将模式结果与实测资料进行对比，结果表明：高水平分辨率对降水中心位置的模拟较好，但同时会产生虚假降水中心，且模拟的降水中心量值一般都大于实测值。而低水平分辨率对降水量值的模拟较好，但对降水中心位置的模拟没有高水平分辨率的好。     

MM5模式对区域气候模拟的性能试验

利用1998年6月NCEP资料和6月2日00：00地表资料及美国NCAR／PENN州的MM5对1998年6月我国南方降雨过程进行了气候模拟的性能试验，模拟结果表明，MM5基本上可模拟出局地大气环流和区域尺度上的强对流过程造成的雨区，降雨强度和强降水中心位置，但模拟的雨量与实际值相差较大，模拟值再现了我国夏季降水异常的空间分布特点，模式可向区域气候模式发展，但该模式模拟的1998年6月副高强度比其实际值的强度更强，故导致更多的水汽进入降雨区，造成过多的降雨。     

辽宁中尺度数值模式产品和 T213产品对比检验分析

利用国家级的气象预报产品质量客观检验评价系统,对辽宁中尺度模式预报MM5和T213数值预报的结果分别进行检验分析.检验类型分为历史资料检验和实时资料检验,检验要素包括地面降水、气温和高空500 hPa环流.检验结果显示,对于降水、气温的预报MM5模式预报检验结果优于T213数值预报,而对于500 hPa环流的检验结果T213更可信.     

Application of the hybrid convection parameterization scheme HYMACS to different meteorological situations

Convection can cause severe precipitation events and is thus of major interest for quantitative precipitation forecasts. Due to its small horizontal scale convection usually has to be parameterized in numerical weather prediction (NWP) models as a subgrid scale phenomenon. Classical mass flux convection schemes assume grid box sizes much larger than the scale of the convective circulation. Thus, the convective mass transport is closed in the local grid column and no net mass transport occurs on the grid scale.In contemporary NWP models with grid sizes of a few kilometers, where convection is already partially resolved, the classical approach leads to a conceptual problem. This can be overcome by a hybrid mass flux convection scheme (HYMACS), in which only the small scale convective updrafts and downdrafts are parameterized, whereas the treatment of the larger scale environmental subsidence is left to the grid scale equations. Different to the classical schemes, HYMACS produces a net convective mass flux exerting pressure gradient forces to the grid scale model.We discuss real cases of different meteorological situations simulated with the operational weather forecast model COSMO of the German Meteorological Service as the hosting model of HYMACS. Precipitation and cloud top pressures simulated with HYMACS are compared with results from classical convection schemes and observational data from the DWD station network and the SEVIRI (MSG) satellite instrument.     

GRAPES与MM5产品业务应用质量对比

分别以GRAPES和MM5为核心建立中尺度数值预报业务系统,并对2006年6～8月温度和降水预报产品业务应用效果进行严格的检验。结果表明:GRAPES和MM5对黑龙江省都具有较强的预报能力,温度预报两者相当,24h降水预报GRAPES总体好于MM5,48h降水预报MM5总体好于GRAPES。两个中尺度数值预报业务系统的产品,对实现精细化预报有重要的作用,可以作为加工预报产品的基础。     

用探空资料检验中尺度数值模式对强对流天气的诊断分析能力

提高对流天气临近预报准确率的关键问题之一是了解大气的垂直稳定度和垂直风切变。中尺度数值模式产品提供了高时空分辨率的大气稳定度和垂直风切变信息，需要首先检验其精度才能进一步考虑其在对流天气预报中的应用。利用北京加密探空资料检验北京市气象局3km分辨率的MM5模式结果，对强对流天气的背景参数包括温湿风垂直廓线、对流有效位能CAPE和垂直风切变进行模式分析和预报与探空对比检验。结果表明：模式模拟的各种大气廓线中，风廓线和温度廓线都具有一定的参考价值，与实况有较好的一致性，但在廓线出现转折的地方，如：逆温层和风向转折时，模式预报较差。露点（湿度）廓线的预报误差较大，不能反映出真实水汽场的分布。因此，模式预报的深层（地面至500hPa）垂直风切变与探空具有较好的一致性，而模式给出的对流有效位能CAPE由于露点预报结果不理想，其值与实际偏差较大。因此模式输出的对流有效位能CAPE必须经过适当订正才能用于诊断强对流天气发生的可能性。     

黄土高原植被变化对环境影响的数值模拟

使用美国NCAR新版MM5非静力平衡模式,模拟了黄土高原2003年6月26~30日的一次降水过程。该试验是通过改变黄土高原局部地区植被覆盖情况,对比分析植被改变区域内各气象要素的变化情况。结果表明:植被改善能使雨量增加,径流量减小,湿度增大,温度日较差减小,使气候变的温和。植被退化却使雨量减少,径流加大,易使水土流失,对水土保持不利。试验较全面地揭示了非均匀地表大气边界层内的温、湿场与陆面相互作用的机理。     

Quantifying the sensitivity of simulated climate change to model configuration

This study used “factor separation” to quantify the sensitivity of simulated present and future surface temperatures and precipitation to alternative regional climate model physics components. The method enables a quantitative isolation of the effects of using each physical component as well as the combined effect of two or more components. Simulation results are presented from eight versions of the Mesoscale Modeling System Version 5 (MM5), one-way nested within one version of the Goddard Institute for Space Studies Atmosphere-Ocean Global Climate Model (GISS AOGCM). The MM5 simulations were made at 108 km grid spacing over the continental United States for five summers in the 1990s and 2050s. Results show that the choice of cumulus convection parameterization is the most important “factor” in the simulation of contemporary surface summer temperatures and precipitation over both the western and eastern USA. The choice of boundary layer scheme and radiation package also increases the range of model simulation results. Moreover, the alternative configurations give quite different results for surface temperature and precipitation in the 2050s. For example, simulated 2050s surface temperatures by the scheme with the coolest 1990s surface temperatures are comparable to 1990s temperatures produced by other schemes. The study analyzes the spatial distribution of 1990s to 2050s projected changes in the surface temperature for the eight MM5 versions. The predicted surface temperature change at a given grid point, averaged over all eight model configurations, is generally about twice the standard deviation of the eight predicted changes, indicating relative consensus among the different model projections. Factor separation analysis indicates that the choice of cumulus parameterization is the most important modeling factor amongst the three tested contributing to the computed 1990s to 2050s surface temperature change, although enhanced warming over many areas is also attributable to synergistic effects of changing all three model components. Simulated ensemble mean precipitation changes, however, are very small and generally smaller than the inter-model standard deviations. The MM5 versions therefore offer little consensus regarding 1990s to 2050s changes in precipitation rates.     

2003年7月31日固原暴雨天气数值模拟

利用中尺度数值模式MM5。对2003年7月31日宁夏固原暴雨天气过程进行了数值模拟,结果表明：模式能较好地模拟出这次天气过程的影响系统及其演变,揭示了常规观测中无法分析到的中小尺度天气系统。模式输出产品导出的螺旋度、对称不稳定、湿焓、非地转湿Q矢量等物理量。对本次强降水天气具有较好的描述能力和预报指导意义。