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次网格对流参数化效果对水平分辨率的敏感生试验 总被引：3，自引：0，他引：3
使用单向嵌套的五层有限域模式进行了次网格对流参数化效果对水平分辨率的敏感性试验.使最细网格覆盖主要降水区,并依次嵌套.设计了四种水平分辨率不同的网格,其水平格距分别为381,190.5,95.25及47.625km.对同一降水个例使用上述各种网格分别作了24小时累计降水量预报(积分48小时)试验.结果表明:(1)总降水量(降水最大值及等面积平均最大值)随网格距的减小而增大.当水平格距减小为50km左右时,便可以很好地预报出一般天气尺度降水的落区及雨量分布;(2)随水平分辨率的提高,次网格对流凝结对总降水的 相似文献
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为了研究垂直变量配置对静力适应过程的影响,本文从描写静力适应过程的方程组出发,分别在将所有变量置于整层上的非跳点N网格;将垂直速度和温度放置在整层,水平速度、气压和密度等变量放置在半层的Charney Phillips跳点网格(CP网格);将水平速度、气压和温度放置在整层,将垂直速度和密度放置在半层的Lorenz跳点网格(L网格);将密度变量放置在整层的Charney Phillips跳点网格(CP_N网格);将密度放置在整层的Lorenz跳点网格(L_N网格)上进行离散,垂直格距分1 km、0.5 km、0.2 km和0.01 km,研究了在这5种网格上产生的频率和垂直群速的相对误差。结果表明:(1)L_N网格和CP网格是完全等效的两种网格。(2)不论垂直格距为多少,CP网格和L网格的误差都是最小,N网格次之,CP_N网格的误差最大。(3)随着垂直格距的减少,在这几种网格上产生的误差都在减小。对于CP网格、L网格和N网格,在水平长波和垂直短波处产生的误差较大。而CP_N网格对水平波长变化不敏感,垂直波长越短,误差越大。(4)当垂直格距为0.01 km时,这几种网格都对水平波长的变化不敏感了,仅对垂直波长敏感。(5)CP网格、L_N网格和L网格在描写静力适应过程和斜压地转适应过程都是误差最小的垂直变量配置方案,因此在非静力完全可压缩深层大气数值预报模式中应优先选择这3种方案。 相似文献
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再论水平和垂直分辨率之间的协调 总被引：5，自引：1，他引：5
在计算域面积为常数的约束下，给出了几种不同精度的平流方程和ω方程的“最优垂直网格距”，以及在极限情况下的“协调垂直网格距”的表达式。还讨论了在水平和垂直分辨率不协调时数值解对能量传播和计算稳定性的影响。 相似文献
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利用1979-1993年ECMWF再分析数据驱动区域气候模式系统PRECIS,分析设置水平网格距为50 km和25 km时对PRECIS模拟宁夏气候效果的影响.模拟结果表明:PRECIS在两种分辨率下能较好地模拟宁夏地区的逐月平均温度和降水的时间序列分布特征,以及逐日温度和逐日降水发生频率的分布特征.当PRECIS分辨率为25 km时,PRECIS对宁夏地区月平均气温、降水的模拟和日气温与日降水发生频率分布特征的模拟与实况更加吻合,而且对0℃附近温度和极端降水与极端气温模拟的效果明显改善. 相似文献
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利用不同水平分辨率下的中尺度数值模式WRF模拟1319号超强台风"天兔",以研究模式水平分辨率对台风强度和微结构(包括动力和微物理)的影响。模拟结果表明:不同水平分辨率(1 km、2 km、3 km、4km、5 km)模拟的台风路径差异不大,且均与实况基本相同;不同水平分辨率对台风强度和微结构的模拟效果影响较大,其中以对10 m最大风速、垂直运动和降水强度的影响为最大。将模式水平分辨率提高到1 km有助于改善台风强度和微结构的模拟效果。在较低分辨率下,台风非对称性较明显、眼墙倾斜程度较大和海表水汽通量较小等结构特征共同使得台风强度较小。 相似文献
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利用WRF模式,研究了模式水平和垂直网格分辨率对台风“天鸽”（2017）模拟的影响。结果表明:水平分辨率的改变会对台风路径造成一定的影响,这种影响与改变水平分辨率以后所引起的台风强度和结构的变化有关。使用更高的水平分辨率时模拟的台风强度往往更强。此外,改变垂直分辨率对台风的路径模拟也有一定的影响。采用双曲正切的垂直分层方法,提高垂直层数,模式大气的垂直分辨率都有增加,但是在低层和高层垂直分辨率的增加更大。低层和高层垂直分辨率增加,模拟的台风强度增强。模式的水平分辨率和垂直分辨率之间匹配才能比较好地模拟台风,双向嵌套模式在提高嵌套层数的同时也要增加模式的垂直分辨率。台风强度和结构变化密切相关,台风强度增强的重要原因是台风云墙随着分辨率的增加更加陡峭,垂直风速随着水平分辨率的提高逐渐增强。 相似文献
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WRF模式不同云微物理参数化方案及水平分辨率对降水预报效果的影响 总被引：10，自引：0，他引：10
利用WRF模式和GFS资料对一次大尺度天气系统作用下的暴雨过程进行了回报,分析了WRF模式不同降水方案和3种不同的水平分辨率（45km,15km和5km）对降水预报效果的影响。结果表明：①对于大尺度强迫作用较强的暴雨,尤其是层状云降水为主的暴雨,云微物理过程方案对降水的影响远大于积云参数化方案对降水的影响。②WRF模式不同的微物理过程方案对各等级降水量的预报效果差别较大。其中Kessler方案的TS评分明显随降水量级的增加而减小,其他6个方案的TS评分都呈现＂两头大,中间小＂的特点,即小雨和暴雨的TS评分较高,而中雨和大雨的TS评分较低。③对于小雨量级的降水,Lin方案的预报效果最好;对于中雨和大雨量级的降水,WSM 3方案的预报效果最好;对于暴雨量级的降水,WSM 5方案的预报效果最好;整体预报效果最好的是WSM 3方案,其次是WSM 5方案,Kessler方案最差。④WRF模式的降水预报效果并不总是随水平分辨率的提高而提高。模式水平分辨率的提高存在明显的阈值（15km左右）,当模式的水平分辨率提高到超过这一阈值以后,预报效果开始转差。 相似文献
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基于麦克斯韦方程组,通过综合考虑电子热效应和电离、吸附效应的非线性变化,利用二维时域有限差分算法(2D FDTD),建立了对流层-中高层大气电动力耦合模式,分析了中高层大气电参数的非线性效应对地闪回击电磁场传播的影响。结果表明,对微秒量级的地闪回击辐射场而言,在60 km以下,由于弛豫时间为毫秒量级,不需要考虑电参数的非线性效应。而在60 km以上的空间,由于弛豫时间快速减小至小于微秒量级,必须考虑电参数非线性效应带来的影响。如果考虑中高层大气电参数非线性效应,距地面90 km高度处地闪回击辐射场峰值明显减小,其中,垂直电场受影响最明显,场峰值最大可减小75%左右,而水平电场受影响相对较小。因为垂直电场脉冲持续时间为几百微秒,而水平电场脉冲持续时间仅为几十微秒,电磁场脉冲持续时间越长,受微秒量级中高层大气电介质弛豫时间的影响越大。 相似文献
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随着计算能力的提升,台风数值模拟大量采用了大涡尺度模拟,其水平分辨率已达到数10 m的量级,而垂直分辨率提升不大,其问题是数值模式的垂直分辨率对台风大涡模拟的影响如何?因此,本文利用WRF(Weather Research and Forecasting)模式开展理想台风模拟,在不同的模式垂直层次(42,69和90层)情况下,研究并讨论数值模式垂直分辨率对台风大涡模拟的影响。结果表明,42层的垂直分辨率明显不足,而69层和90层的垂直分辨率则都能模拟出细致的台风边界层小尺度结构,龙卷尺度涡旋出现较多。与69层试验相比,90层试验模拟的台风强度要弱、龙卷尺度涡旋数量要少,但模拟的台风强度更稳定,模拟的小尺度涡旋也更精细。 相似文献
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Hui-Wen LAI Fuqing ZHANG Eugene E. CLOTHIAUX David R. STAUFFER Brian J. GAUDET Johannes VERLINDE Deliang CHEN 《大气科学进展》2020,37(1):42-56
To better understand how model resolution affects the formation of Arctic boundary layer clouds,we investigated the influence of grid spacing on simulating cloud streets that occurred near Utqiaġvik(formerly Barrow),Alaska,on 2 May 2013 and were observed by MODIS(the Moderate Resolution Imaging Spectroradiometer).The Weather Research and Forecasting model was used to simulate the clouds using nested domains with increasingly fine resolution ranging from a horizontal grid spacing of 27 km in the boundary-layer-parameterized mesoscale domain to a grid spacing of 0.111 km in the large-eddy-permitting domain.We investigated the model-simulated mesoscale environment,horizontal and vertical cloud structures,boundary layer stability,and cloud properties,all of which were subsequently used to interpret the observed roll-cloud case.Increasing model resolution led to a transition from a more buoyant boundary layer to a more shear-driven turbulent boundary layer.The clouds were stratiform-like in the mesoscale domain,but as the model resolution increased,roll-like structures,aligned along the wind field,appeared with ever smaller wavelengths.A stronger vertical water vapor gradient occurred above the cloud layers with decreasing grid spacing.With fixed model grid spacing at 0.333 km,changing the model configuration from a boundary layer parameterization to a large-eddy-permitting scheme produced a more shear-driven and less unstable environment,a stronger vertical water vapor gradient below the cloud layers,and the wavelengths of the rolls decreased slightly.In this study,only the large-eddy-permitting simulation with gird spacing of 0.111 km was sufficient to model the observed roll clouds. 相似文献
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Summary The effects of varying horizontal and vertical grid resolution on the numerical simulation of upper-tropospheric frontal structures are examined using a, two-dimensional, dry, hydrostatic sigma-coordinate primitive equation model. These effects are illustrated with the results of 72 h model integrations in which frontogenesis is forced solely by confluence. Four different horizontal grid spacings, ranging from 100 km to 12.5 km, and four different vertical, grid resolutions, varying from 10 to 70 layers (90 mb to 13 mb), are considered.The intensity and integrity of the frontogenesis as a function of grid resolution are diagnosed in terms of time histories and spatial distributions of frontal parameters, such as the speed of the along-front jet, maxima of absolute vorticity and potential temperature gradient, and ageostrophic motions. The time histories show that, provided the vertical resolution is sufficient, increasing horizontal resolution leads to better-defined frontal structure due to the decrease in cross-frontal scale. They also indicate that for a given horizontal resolution there exists an optimal vertical resolution beyond which frontal parameters change only slightly. This optimal vertical resolution increases with increasing horizontal resolution, and apparently is related to the horizontal resolution through the slope of the frontal zone.The time histories for simulations combining low vertical resolution with high horizontal resolution exhibit substantial high-frequency variability. Cross sections show that this temporal variability appears to be manifested spatially in the form of gravity waves characterized by wavelengths on the order of 200 km and periods of 12 h, over the range of horizontal and vertical resolution that is considered. Although the source mechanism for these waves cannot be established definitively, it likely involves a grid-induced ageostrophic component of the along-front wind which disrupts thermal wind balance. This results thus demonstrates the potential risk of flawed frontal simulations, when incompatible combinations of horizontal and vertical resolution are used.With 7 Figures 相似文献
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利用目前国际上最先进的中尺度WRF模式模拟热带气旋生成,网格分辨率从9 km增加到3 km,3 km网格中积云参数化方案不起作用,依靠微物理方案来模拟对流尺度系统特征,模式中热带气旋的生成过程变得迟缓。当低压扰动发展到一定程度后再加入3 km网格,生成过程有加快趋势。本研究针对该现象进行分析。结果表明:只用微物理方案使低层(950～700 hPa)风速的垂直切变减小,不利于对流发展;切变减小主要是由于动量垂直输送项的差异所致。在加入细网格的6 h内,低层对流尺度(减去区域平均)的动量垂直输送量平均增加了一倍,某些时刻达到了5倍以上;动量混合增加是由于微物理方案模拟的垂直速度增加所致。此外,只用微物理方案导致对流有效位能迅速被消耗。低层垂直切变和对流有效位能的减小都不利于对流发展,从而导致热带气旋生成发展过程迟缓。本研究表明,目前WRF中的微物理方案在模拟热带气旋生成过程中的对流发展时仍然存在问题。 相似文献
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To examine the effect of radar data assimilation and increasing horizontal resolution on the short-term numerical weather prediction, comparative numerical experiments are conducted for a Huabei (North China) torrential rainfall event by using the Advanced Regional Prediction System (ARPS) and ARPS Data Analysis System (ADAS). The experiments use five different horizontal grid spacings, i.e., 18, 15, 9, 6, and 3 km,respectively, under the two different types of analyses: one with radar data, the other without. Results show that, when radar data are not used in the analysis (i.e., only using the conventional observation data), increasing horizontal resolution can improve the short-term prediction of 6 h with better representation of the frontal structure and higher scores of the rainfall prediction, particularly for heavy rain situations. When radar data are assimilated, it significantly improves the rainfall prediction for the first 6 h, especially the locality and intensity of precipitation. Moreover, using radar data in the analysis is more effective in improving the short-term prediction than increasing horizontal resolution of the model alone, which is demonstrated by the fact that by using radar data in the analysis and a coarser resolution of the 18-km grid spacing, the predicted results are as good as that by using a higher resolution of the 3-km grid spacing without radar data. Further study of the results under the radar data assimilation with grid spacing of 18-3 km reveals that the rainfall prediction is more sensitive to the grid spacing in heavy rain situations (more than 40 mm) than in ordinary rain situations (less than 40 mm). When the horizontal grid spacing reduces from 6 to 3 km, there is no obvious improvement to the prediction results. This suggests that there is a limit to how far increasing horizontal resolution can do for the improvement of the prediction. Therefore, an effective approach to improve the short-term numerical prediction is to combine the radar data assimilation with an optimal horizontal resolution. 相似文献
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MM5模式中不同对流参数化方案的比较试验 总被引：58，自引：2，他引：58
应用MM5中尺度模式, 在60、20和10 km模式分辨率下, 分别选用4种不同对流参数化方案 (KUO方案、GRELL方案、KAIN-FRITSCH方案和BETTS-MILLER方案, 以下简称KU、GR、KF和BM方案) 对1996年8月3~4日石家庄暴雨过程进行数值模拟试验.模拟结果的对比分析及其与观测的比较表明:主要雨带位置对参数化方案并不是十分敏感, 但随分辨率提高, 雨带分布特征的模拟更接近实况; 当分辨率提高到10 km时, 虚假的降水中心也明显增加; 模拟的暴雨中心强度随分辨率的提高而增强并随参数化方案的不同有所变化, 但均比实况偏弱.分析还发现, MM5模式的GR、KF及BM方案的次网格降水对总降水的贡献率随分辨率的提高而减小, 而KU方案的情况则呈现出不合理的缓慢增加态势.虽然4种方案下模拟的水平环流特征有较好的一致性, 但模拟的云物理特征和垂直运动特征还是存在一定差别的, 这种差别对定点、定量降水和天空状况、地面气温、湿度等要素的准确预报都会产生影响.因此, 在预报和模拟中应考虑预报和研究对象的特点来选择对流参数化方案. 相似文献
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Dependence of Hurricane Intensity and Structures on Vertical Resolution and Time-Step Size 总被引：5，自引：0，他引：5
In view of the growing interests in the explicit modeling of clouds and precipitation, the effects of varying vertical resolution and time-step sizes on the 72-h explicit simulation of Hurricane Andrew (1992) are studied using the Pennsylvania State University/National Center for Atmospheric Research (PSU/NCAR) mesoscale model (i.e., MM5) with the finest grid size of 6 km. It is shown that changing vertical resolution and time-step size has significant effects on hurricane intensity and inner-core cloud/precipitation, but little impact on the hurricane track. In general, increasing vertical resolution tends to produce a deeper storm with lower central pressure and stronger three-dimensional winds, and more precipitation. Similar effects, but to a less extent, occur when the time-step size is reduced. It is found that increasing the low-level vertical resolution is more efficient in intensifying a hurricane, whereas changing the upper-level vertical resolution has little impact on the hurricane intensity. Moreover, the use of a thicker surface layer tends to produce higher maximum surface winds. It is concluded that the use of higher vertical resolution,a thin surface layer, and smaller time-step sizes, along with higher horizontal resolution, is desirable to model more realistically the intensity and inner-core structures and evolution of tropical storms as well as the other convectively driven weather systems. 相似文献