日降水量的空间插值方法与应用对比分析——以深圳市为例

综合分析了四种空间插值方法,即距离权重倒数法、局部多项式法、普通克里金法和考虑海拔的协克里金法的特点,并以深圳市36个雨量站2006年雨季27天的日累计降水量数据为实例进行了研究和验证,采用交叉检验的方法对插值结果进行比较。研究表明,四种方法均能反映降水总体情况,但插值曲面相对真实曲面较平滑,距离权重倒数法的插值曲面最为平滑;多项指标比较显示,克里金法优于距离权重倒数法和局部多项式法。与普通克里金法相比,考虑海拔的协克里金法对插值精度没有明显提高。依照雨量站海拔、日均降水量分别对插值结果数据分组统计比较表明,海拔高的雨量站插值结果普遍大于实测结果,海拔低的雨量站则相反;日均降水量较大时(>50mm),插值误差明显增大。     

不同扰动场对大气重力波参数结果影响的初步探讨

如何获取大气重力波参数是大气动力学理论研究的重点和难点。本文以2013年8月6—8日晋西北地区出现的一次雷阵雨天气过程为例,利用常用的二阶、三阶、四阶曲线拟合和带通滤波方法获取垂直高分辨率探空资料的扰动场,对这些扰动场提取的大气重力波参数进行对比分析。结果表明:不同扰动场(二阶、三阶、四阶曲线拟合以及带通滤波)对所获取重力波参数的大小及变化趋势存在影响,但对不同重力波参数的影响程度不一样。其中,对波固有周期、水平和垂直波长的大小及变化趋势影响很大,而对波传播方向、对地水平群速及固有相速的影响程度则较弱。结合6—8日天气现象的大气动力特征,发现由二阶曲线拟合、带通滤波对应扰动场得到的重力波参数的大小及变化趋势与此吻合,其结果可信度最高;而由四阶曲线拟合扰动场得到重力波参数值的可信度最低。     

区域性光化学模式与LLA-C机制的模拟性能比较

以 Ｌ Ｌ Ａ－ Ｃ 机制为基准,在［ Ｎ Ｍ Ｈ Ｃ］／［ Ｎ Ｏ＃ － ｘ］ 比率分别为１７９ 、７１４ 、２８６ 条件下测试了区域性光化学模式（ Ｒ Ｏ Ｓ） 的模拟性能。结果表明 Ｒ Ｏ Ｓ 模式在上述三种初值条件下均能从总体趋势上给出与 Ｌ Ｌ Ａ － Ｃ 机制相似的结果, 但只有当非甲烷烃浓度较高（［ Ｎ Ｍ Ｈ Ｃ］／［ Ｎ Ｏｘ］ ＞ １２） 时 Ｒ Ｏ Ｓ 模式模拟值与 Ｌ Ｌ Ａ－ Ｃ 机制预测值比较接近。在这种条件下, Ｒ Ｏ Ｓ 模型对 Ｏ Ｈ 的预测值有待改进。我国大气中相当高的［ Ｎ Ｍ Ｈ Ｃ］／［ Ｎ Ｏｘ］ 比率说明 Ｒ Ｏ Ｓ 模式用于全国范围内的空气质量趋势模拟是可行的。     

一种快速预处理算法及其在浅水波方程中的应用

为了提高数值求解大气方程的计算速度,我们研究了稀疏逼近逆预处理方法及其在数值求解浅水波方程中的应用,这是一种求解大型线性方程组的快速算法,该算法的核心内容是稀疏逼近逆非零元模式的选取。首先导出了一种稀疏逼近逆的非零元模式及其确定方法,然后以浅水方程的差分格式为例,借助于GMRES迭代算法,对这种预处理快速算法应用前后的计算速度进行了比较,发现该快速算法能大幅度提高运算速度。另外,该预处理快速算法简单、易于并行,是一种值得在大气方程中推广应用的方法。     

Examination of a Correction Procedure for the Flow Attenuation in Orthogonal Sonic Anemometers

In this study we examine the calibration of wind speed measured by a sonic anemometer, with an orthogonal probe configuration, with regard to the approximation of the flow angle, and the wind-speed dependence of the flow attenuation attributed to the transducer shadow. The flow angle should be calculated by the iterative method when the attenuation is relatively high. For a probe manufactured by Kaijo Co. TR-61C, the wind-speed dependence of the transducer shadow effect is formulated from the results of the wind-tunnel experiment. Assuming the equation is applicable to field observations, significant errors possibly remain especially when the wind speed is low, and /or the angle between the flow vector and the sonic path is small, if the wind-speed dependence in measurement errors is neglected.     

The influence of the geostrophic wind advection approximation on a well-mixed layer

Numerical results indicate that advection of momentum in the boundary layer may significantly alter both the structure of the planetary boundary layer and its influence on the overlying free atmosphere. However, due to the nonlinearity of the inertial terms, it is always difficult to obtain the analytical solution of the boundary-layer model that retains the flow acceleration. In order to overcome this difficulty, the geostrophic momentum (hereafter GM) approximation has been introduced into boundary-layer models. By replacing the advected momentum with the geostrophic wind, the effect of the flow acceleration is partially considered and the original nonlinear partial differential equation set is converted to ordinary differential equations, the solutions of which can be obtained easily with standard techniques. However, the model employing GM fails to capture the features of the boundary layer when the spatio-temporal variation of the boundary-layer flow cannot be properly approximated by the geostrophic wind. In the present work, a modified boundary-layer model with the inertial acceleration in a different approximate form is proposed, in which the advecting wind instead of the advected momentum is approximated by the geostrophic wind (hereafter GAM).Comparing the horizontal velocity and boundary-layer pumping obtained from the classical Ekman theory, and the model incorporating (i) GM and (ii) GAM, it is found that the model with GAM describes most facets of the steady well-mixed layer beneath a north-westerly flow with embedded mesoscale perturbations that is considered in the present work. Inspection of the solution of the model with GAM shows that, within the limit of the validation of the model (i.e., the Rossby number R_O is not very large and the drag coefficient C_D is not too small), the horizontal convergence (divergence) is strengthened by the effect of the inertial acceleration in the region of maximum positive (negative) geostrophic vorticity. Consequently, the boundary-layer pumping there is intensified. It is found that the intensification is firstly strengthened and then weakened as R_O or C_D increases.     

含确定扰动的线性离散时滞系统的前馈-反馈最优控制

研究在外界持续干扰的动态特征已知的情况下,线性离散时滞系统的前馈-反馈最优控制问题。给出了前馈-反馈最优控制存在的唯一性条件,提出了前馈-反馈最优控制律的逐次逼近算法;通过截取最优控制序列解的有限项,得到系统的前馈-反馈次优控制律,并利用扰动观测器解决了其物理可实现问题。该算法容易实现,计算工作量小,且对外部持续扰动有良好的鲁棒性。仿真结果说明了算法的有效性。     

异常面积计算

提出一种新的异常面积计算方法———多边形逼近法,并给出相应的算法和精度控制方法。采用该方法计算异常面积,速度快、精度高,具有较好的应用效果。     

大地电磁测深资料的超球逼近反演

超球逼近方法是一种全局搜索的二次优化方法。将该优化方法应用到大地电磁测深资料的反演中取得较好的效果。在介绍了超球逼近方法的基本原理后,应用数值结果对该方法的可行性进行了检验。     

The role of disaggregated renewable energy consumption on income and load capacity factor: A novel inclusive sustainable growth approach

Stimulating renewable energy consumption is a major focus of the Sustainable Development Goals in combating climate change and global warming. The International Energy Agency estimates that renewable energy consumption should be doubled to achieve the COP21 targets. In this context, the question is whether renewable energy types promote the improvement of ecological quality and economic growth. Most studies have investigated the influence of renewable energy on ecological pollution using carbon dioxide emissions or ecological footprint indicators, which only represent the pollution caused by human consumption patterns, and these indicators neglect the supply side. Motivated by this point, this study uses the LCF (Load Capacity Factor) as an environmental indicator and examines the causality relationship among different types of renewable energy, income, and environmental quality in the USA, while also incorporating employment and capital stock into the analysis. Through using the Fourier causality test with the wavelet-decomposed series, the study explores for the validity of the renewable energy-based growth hypothesis and answers to the question of whether there is a causal effect of renewable energy types on environmental quality. The results demonstrate that there is a bidirectional causality between total renewable energy, wood, biomass, and economic growth as well as between these renewable energy types and the LCF.