Photometric evolution of N-body + SPH + star formation simulations of isolated disc galaxies

We have calibrated self-consistent simulations of isolated disc galaxies including star, gas and star formation with the spectro-photometric evolutionary model GISSEL2000 (Bruzual and Charlot, 1993). With this approach we can compare morphologies studying mass and luminous distributions. We present an example about the evolution of bar ellipticity, which is simultaneously governed by dynamic and spectro-photometric evolution. This revised version was published online in August 2006 with corrections to the Cover Date.     

Simulating vegetation cover dynamics with regards to long-term climatic variations in sub-arctic landscapes

Iceland is facing severe land degradation in many parts of the country. This study aims to increase the understanding of the complex interactions and interconnectivity between the critical factors that help maintain the land degradation processes in sub-arctic environments. A holistic approach in the form of a causal loop diagram (CLD) is applied for diagnosing the influencing factors. To further study the relationship between vegetation cover and its degradation, a dynamic model that uses a long-term temperature data as the main indicator function is constructed to simulate potential vegetation cover during the Holocene. The results depict an oscillating vegetation cover. Gradual degradation in potential vegetation cover begins ca. 3000 BP and accelerates greatly after ca. 2500 BP. From the time of the Norse settlement in the latter halve of the 9th century to present time, the simulated vegetation cover retreats ca. 25% in relation to climatic cooling.     

The effect of primordial non-Gaussianity on the topology of large-scale structure

We study the effect of primordial non-Gaussianity on the development of large-scale cosmic structure using high-resolution N -body simulations. In particular, we focus on the topological properties of the 'cosmic web', quantitatively characterized by the Minkowski functionals (MFs), for models with quadratic non-linearities with different values of the usual non-Gaussianity parameter f _NL. In the weakly non-linear regime (the amplitude of mass density fluctuations σ₀ < 0.1), we find that analytic formulae derived from perturbation theory agree with the numerical results within a few per cent of the amplitude of each MF when | f _NL| < 1000. In the non-linear regime, the detailed behaviour of the MFs as functions of threshold density deviates more strongly from the analytical curves, while the overall amplitude of the primordial non-Gaussian effect remains comparable to the perturbative prediction. When smaller-scale information is included, the influence of primordial non-Gaussianity becomes increasingly significant statistically due to decreasing sample variance. We find that the effect of the primordial non-Gaussianity with  | f _NL| = 50  is comparable to the sample variance of mass density fields with a volume of 0.125( h ⁻¹ Gpc)³ when they are smoothed by Gaussian filter at a scale of 5  h ⁻¹ Mpc. The detectability of this effect in actual galaxy surveys will strongly depend on residual uncertainties in cosmological parameters and galaxy biasing.     

An iterative method for constructing equilibrium phase models of stellar systems

We present a new method for constructing equilibrium phase models for stellar systems, which we call the iterative method. It relies on constrained, or guided evolution, so that the equilibrium solution has a number of desired parameters and/or constraints. This method is very powerful, to a large extent due to its simplicity. It can be used for mass distributions with an arbitrary geometry and a large variety of kinematical constraints. We present several examples illustrating it. Applications of this method include the creation of initial conditions for N -body simulations and the modelling of galaxies from their photometric and kinematic observations.     

Effects of Land-Sea Distribution, Topography and Diurnal Change on Summer Monsoon Modeling

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南极海冰导温系数与孔隙率关系初探

利用南极中山站附近固定冰不同季节的温度垂直廓线,冰芯盐度、密度数据,基于Cox等发展的冰内孔隙率计算方法,获得冰内孔隙率的垂直廓线。再通过建立分布参数系统最优控制模型,优化辨识在无热源条件下冰内温度垂直廓线对应的海冰导温系数。通过比较7种冰导温系数同孔隙率的关系,选择出海冰导温系数和孔隙率的最优关系式。用该关系式对同一地点不同年份的海冰进行温度垂直廓线计算,比较辨识的导温系数同孔隙率的关系相对于前人理想海冰模型中的导热系数、比热等公式计算对应条件的海冰垂直温度廓线的优势。两种计算结果说明,辨识得到的关系所引起的偏差在趋势和量级上同理想模式计算的结果相同,但辨识得到的关系更简洁,且更具有物理背景。     

基于VIIRS火点数据和FARSITE系统的森林火灾蔓延模拟

针对森林火灾模型模拟、预测火灾蔓延结果精度随时间增加而降低的问题,提出了使用卫星遥感火监测数据重初始化火灾模型降低模拟结果误差的方法。使用FARSITE (Fire Area Simulator)火灾模拟系统模拟内蒙古自治区一场森林火灾,并使用375 m的VIIRS (Visible infrared Imaging Radiometer Suite)火监测数据对FARSITE重初始化,探究该方法在中国林火蔓延模拟中的应用。使用SC (S?rensen’s Coefficient)值,辅以多源卫星遥感数据,评估该方法模拟结果精度。结果显示,各模拟过程中,模拟结果精度均随模拟时间的增加而降低,重初始化的模拟结果与实际过火区一致性更高,VIIRS重初始化模拟结果 SC值最高提高56.89%,最终SC值提高了45.45%;最终模拟结果的SC值从最初的54.14%经过VIIRS火点修正后提高到78.76%;模拟过程中的VIIRS火点重初始化的模拟结果 SC值最高为87.8%。使用VIIRS火监测数据重初始化FARSITE火灾模拟系统,将火灾分为多次进行模拟,缩短模拟时间,有效控制模拟误差的传递...