Application of Dynamic Subgrid-scale Models for Large-eddy Simulation of the Daytime Convective Boundary Layer over Heterogeneous Surfaces

The sensitivity of large-eddy simulation (LES) to the representation of subgrid-scale (SGS) processes is explored for the case of the convective boundary layer (CBL) developing over surfaces with varying degrees of spatial heterogeneity. Three representations of SGS processes are explored: the traditional constant Smagorinsky–Lilly model and two other dynamic models with Lagrangian averaging approaches to calculate the Smagorinsky coefficient (C _S ) and SGS Prandtl number (Pr). With initial data based roughly on the observed meteorology, simulations of daytime CBL growth are performed over surfaces with characteristics (i.e. fluxes and roughness) ranging from homogeneous, to striped heterogeneity, to a realistic representation of heterogeneity as derived from a recent field study. In both idealized tests and the realistic case, SGS sensitivities are mostly manifest near the surface and entrainment zone. However, unlike simulations over complex domains or under neutral or stable conditions, these differences for the CBL simulation, where large eddies dominate, are not significant enough to distinguish the performance of the different SGS models, irrespective of surface heterogeneity.     

Footprints in Homogeneously and Heterogeneously Driven Boundary Layers Derived from a Lagrangian Stochastic Particle Model Embedded into Large-Eddy Simulation

A Lagrangian stochastic (LS) model, which is embedded into a parallelised large-eddy simulation (LES) model, is used for dispersion and footprint evaluations. For the first time an online coupling between LES and LS models is applied. The new model reproduces concentration patterns, which were obtained in prior studies, provided that subgrid-scale turbulence is included in the LS model. Comparisons with prior studies show that the model evaluates footprints successfully. Streamwise dispersion leads to footprint maxima that are situated less far upstream than previously reported. Negative flux footprints are detected in the convective boundary layer (CBL). The wide range of applicability of the model is shown by applying it under neutral and stable stratification. It is pointed out that the turning of the wind direction with height leads to a considerable dependency of source areas on height. First results of an application to a heterogeneously heated CBL are presented, which emphasize that footprints are severely affected by the inhomogeneity.     

载人飞船主着陆场区强对流天气成因

从数值预报资料入手,结合风廓线雷达、多普勒雷达及自动气象观测资料对2008年9月14日飞船主着陆场区一次雹暴过程进行分析。结果表明:这次雹暴过程中气象要素变化剧烈;侵入蒙古低压的冷锋带动中尺度辐合线移近场区时触发强对流迅猛发展;雹暴前期垂直风切变显著增大;深厚的对流不稳定层结、强烈的正涡度平流和垂直上升运动等是雹暴的主要成因;雹暴前期TBB值迅速降低,雷达RHI回波图上,在无回波穹窿区上部为雹源区;冰雹落在θse舌轴的北侧和高空锋区的南侧。     

关于业务上应用条件对称不稳定相关问题的讨论

条件对称不稳定（CSI）理论常常被用来作为倾斜对流的发展机制之一,在业务上常用来解释与锋面相联系的一条或多条中尺度雨带、雷达图像上观测到的带状雨带的成因等。条件对称不稳定的诊断包括CSI斜率判据、斜升对流有效位能（SCAPE）、湿对称不稳定（MSI）、相当位涡（EPV）等判据。业务预报人员存疑较多的问题是这些方法是否具有一致性并在业务上如何使用。针对上述问题,首先通过与业务预报人员较熟悉的条件不稳定类型作类比,来说明条件对称不稳定两种判据与条件不稳定两种判据的相似性。但在业务使用上,判别条件对称不稳定时多使用CSI斜率判据,即等动量面的坡度大于等位温面坡度而小于等湿球位温面坡度。由于条件对称不稳定通常出现在大气处于几乎饱和的情况下,此时的CSI斜率判据则演变为湿对称不稳定判据,即等动量面坡度小于等湿球位温面坡度。为判别相当位涡与湿对称不稳定判据是否具有一致性,文中的推导和实例分析均表明,二维相当位涡实际上是湿对称不稳定判据的另一种表现形式,但是湿对称不稳定判据需主观去比较等相当位温面与等动量面斜率大小,而二维相当位涡则可通过其是否小于0进行客观判断。需注意的是,在与推导条件对称不稳定斜率判据相同的二维坐标下,相当位涡与湿对称不稳定判据才具有一致性,将相当位涡扩展到常规坐标下使用三维相当位涡作为湿对称不稳定判据是不可取的。      

南京及周边地区雷达气候学分析

为了研究南京及周边地区暖季（6-9月）对流风暴的活动分布规律,利用2009-2013年6-9月长时间序列的南京多普勒天气雷达数据识别对流回波并格点化,统计并分析了南京及周边地区对流风暴的气候学分布特征,结果表明:（1）在暖季,南京及周边地区对流风暴具有明显的区域分布特征,其中7与8月为对流风暴活动高峰期,对流风暴频数分布大值中心位于南京东部沿江地区;（2）不同尺度和伸展高度对流风暴的分布特征各不相同,较大较深对流的分布大值中心更加明显;（3）对流风暴的垂直结构因月份不同而有所差异,7与8月对流风暴强度最大;（4）不同尺度和伸展高度对流风暴频数存在明显的日变化特征,呈多峰分布,主峰值区位于午后,同样,各月份对流风暴频数的日变化特征也非常明显,呈单峰或者多峰分布。      

亚洲季风区不同形态中尺度对流系统的特征分析

利用16 a的TRMM卫星观测资料,分析了亚洲季风区准圆状、线状和拉长状中尺度对流系统(MCSs)的空间分布、对流属性及其区域变化特征。结果表明:拉长状MCSs的数量最多,准圆状的其次而线状的最少。自西向东,准圆状(线状)MCSs数量占各区域MCSs总数的比例逐渐减小(增加),线状MCSs在副热带和洋面地区的产生几率相比更大。MCSs的发生频次呈现以暖季(5—9月)为峰值的单峰分布,准圆状和拉长状MCSs的暖季峰值比线状MCSs的大。MCSs主要发生在下午—傍晚时段,但线状MCSs在午夜—凌晨出现的概率比其它两种大。3种类型MCSs的整体强度基本表现为副热带地区弱于近热带地区,但不同类型MCSs的强度差异在各区域不尽相同,如中国中东部地区和西北太平洋地区的准圆状MCSs强度最强,但东海及其以东洋面的线状MCSs强度最强。     

Betts对流调整方案在移动套网格台风数值模式中的初步试验

Betts对流调整方案采用的是垂直温湿场向观测的准平衡热力结构松驰的方法。本文在一个考虑了台风初值化的移动套网格台风数值模式中,对Betts方案进行了初步试验。结果表明：Betts方案能较好的预报出台风移动的路径和降水过程,并在台风路径、降水落区预报以及对流增温的垂直分布等方面都略优于Kuo方案的预报结果。     

Ring current influence on auroral electrojet predictions

Geomagnetic storms and substorms develop under strong control of the solar wind. This is demonstrated by the fact that the geomagnetic activity indices Dst and AE can be predicted from the solar wind alone. A consequence of the strong control by a common source is that substorm and storm indices tend to be highly correlated. However, a part of this correlation is likely to be an effect of internal magnetospheric processes, such as a ring-current modulation of the solar wind-AE relation. The present work extends previous studies of nonlinear AE predictions from the solar wind. It is examined whether the AE predictions are modulated by the Dst index.This is accomplished by comparing neural network predictions from Dst and the solar wind, with predictions from the solar wind alone. Two conclusions are reached: (1) with an optimal set of solar-wind data available, the AE predictions are not markedly improved by the Dst input, but (2) the AE predictions are improved by Dst if less than, or other than, the optimum solar-wind data are available to the net. It appears that the solar wind-AE relation described by an optimized neural net is not significantly modified by the magnetosphere’s Dst state. When the solar wind alone is used to predict AE, the correlation between predicted and observed AE is 0.86, while the prediction residual is nearly uncorrelated to Dst. Further, the finding that Dst can partly compensate for missing information on the solar wind, is of potential importance in operational forecasting where gaps in the stream of real time solar-wind data are a common occurrence.     

Testing electric field models using ring current ion energy spectra from the Equator-S ion composition (ESIC) instrument

During the main and early recovery phase of a geomagnetic storm on February 18, 1998, the Equator-S ion composition instrument (ESIC) observed spectral features which typically represent the differences in loss along the drift path in the energy range (5–15 keV/e) where the drift changes from being E × B dominated to being gradient and curvature drift dominated. We compare the expected energy spectra modeled using a Volland-Stern electric field and a Weimer electric field, assuming charge exchange along the drift path, with the observed energy spectra for H⁺ and O⁺. We find that using the Weimer electric field gives much better agreement with the spectral features, and with the observed losses. Neither model, however, accurately predicts the energies of the observed minima.     

Geomagnetic storm effects at low latitudes

The geomagnetic horizontal (H) field from the chain of nine observatories in India are used to study the storm-time and disturbance daily variations. The peak decrease in storm-time variation in H showed significant enhancements at the equatorial electrojet stations over and above the normally expected decrease due to the ring current effects corrected for geomagnetic latitudes. The disturbance daily variation of H at equatorial stations showed a large decrease around midday hours over and above the usual dawn-maximum and dusk-minimum seen at any mid-latitude stations around the world. These slow and persistent additional decreases of H of disturbance daily variation at equatorial latitudes could be the effect of a westward electric field due to the Disturbance Ionospheric dynamo coupled with abnormally large electrical conductivities in the E region over the equator.