纬向平均的风向改变指数与季节转换

通过定义一个能客观定量描述大气环流四维时空变化的风向改变指数WI,用以研究大气环流的时空演变规律和季节转换。在对纬向平均的WI做了经验正交函数(EOF)分析后,得到了其前四个模态。第一模态揭示的是全年平均的WI空间分布的基态。第二模态反映的是WI场的偏差中呈现准调和变化的部分,热带、副热带、温寒带季风区在该模态中均有明显体现。第三模态反映的是WI场的偏差中呈现非调和变化的部分,该部分揭示了因南北半球海陆分布的差异和因大气、海洋流体的非线性效应,其所造成的从春到秋与从秋到春的季节变化的不对称性以及平流层的二月突变现象。第四模态反映的是全球各层盛行风反向区域从春到夏的北进和从夏到秋南撤的现象。     

双参数云物理方案中谱形参数作用分析和数值模拟试验

云物理参数化方案中,各种粒子通常采用Г谱分布函数n(D)=N0Dαexp(-λD)。双参数方案中谱参数截距N0和斜率λ通过预报给出,谱形参数α设为固定值。为了讨论谱形参数的作用,理论上分析了谱形参数取值对沉降过程和微物理源汇项的影响。利用MM5模式中增加的双参数显式云物理方案模拟了西北地区一次层状云降水过程,模拟针对雨滴谱的谱形参数rα不同取值分别做了试验。模拟结果基本符合理论分析,谱形参数rα变化时模拟出的地面降水和云的宏微观特征有差异。     

江苏省连阴雨过程时空分布特征分析

通过综合各地连阴雨指标因子, 确定了江苏省连阴雨过程的标准, 根据指标体系, 对其时空分布特征进行了分析, 得出江苏省年均连阴雨次数为12.3次, 连阴雨的空间分布存在着明显的北少南多的特征, 可见沿江苏南地区为连阴雨的频发地区。其中从对农作物危害程度来看, 主要是春季连阴雨(3—5月)和秋季连阴雨(9—11月)影响较大, 这两个时段连阴雨过程发生次数较多, 分别为年均3.1和2.7次, 其中春季3月和秋季9月的连阴雨出现次数最多。为了进一步定量评估连阴雨的强度, 我们设计了连阴雨强度指数模型, 对强度指数M_LYY进行了分级, 实施了对连阴雨强度的进一步把握, 更好地为决策部门提供了服务。     

ALow-order Model of Two-dimensional Fluid Dynamics on the Surface of a Sphere

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Spectral Characteristics and Correction of Long-Term Eddy-Covariance Measurements Over Two Mixed Hardwood Forests in Non-Flat Terrain

We present turbulence spectra and cospectra derived from long-term eddy-covariancemeasurements (nearly 40,000 hourly data over three to four years) and the transferfunctions of closed-path infrared gas analyzers over two mixed hardwood forests inthe mid-western U.S.A. The measurement heights ranged from 1.3 to 2.1 times themean tree height, and peak vegetation area index (VAI) was 3.5 to 4.7; the topographyat both sites deviates from ideal flat terrain. The analysis follows the approach ofKaimal et al. (Quart. J. Roy. Meteorol. Soc. 98, 563–589, 1972) whose results were based upon 15 hours of measurements atthree heights in the Kansas experiment over flatter and smoother terrain. Both thespectral and cospectral constants and stability functions for normalizing and collapsingspectra and cospectra in the inertial subrange were found to be different from those ofKaimal et al. In unstable conditions, we found that an appropriate stabilityfunction for the non-dimensional dissipation of turbulent kinetic energy is of the form ₍₎ = (1 - b^-)^-1/4 - c^-, where representsthe non-dimensional stability parameter. In stable conditions, a non-linear functionG_xy() = 1 + b_xy^c _xy (c_xy < 1) was found to benecessary to collapse cospectra in the inertial subrange. The empirical cospectralmodels of Kaimal et al. were modified to fit the somewhat more (neutraland unstable) or less (stable) sharply peaked scalar cospectra observed over forestsusing the appropriate cospectral constants and non-linear stability functions. Theempirical coefficients in the stability functions and in the cospectral models varywith measurement height and seasonal changes in VAI. The seasonal differencesare generally larger at the Morgan Monroe State Forest site (greater peak VAI) andcloser to the canopy.The characteristics of transfer functions of the closed-path infrared gas analysersthrough long-tubes for CO₂ and water vapour fluxes were studied empirically. This was done by fitting the ratio between normalized cospectra of CO₂ or watervapour fluxes and those of sensible heat to the transfer function of a first-order sensor.The characteristic time constant for CO₂ is much smaller than that for water vapour. The time constant for water vapour increases greatly with aging tubes. Three methods were used to estimate the flux attenuations and corrections; from June through August, the attenuations of CO₂ fluxes are about 3–4% during the daytime and 6–10% at night on average. For the daytime latent heat flux (Q_E), the attenuations are foundto vary from less than 10% for newer tubes to over 20% for aged tubes. Correctionsto Q_E led to increases in the ratio (Q_H + Q_E)/(Q^* - Q_G) by about 0.05 to0.19 (Q_H is sensible heat flux, Q^* is net radiation and Q_G is soil heat flux),and thus are expected to have an important impact on the assessment of energy balanceclosure.     

车贝雪夫多项式的约简算法

解释了文献「１」中关于化整后的车贝雪夫多项式约简处理的技术原理,给出了一种可快速实现多项式约简处理的求算方法。     

青藏高原东边缘山区极值风速推算方法的研究

利用1971—2001年青藏高原东边缘地区12个气象台站风资料,分析了影响极值风速的主要因子,通过对地形的参数化处理,建立了极值风速随海拔高度和地形参数变化的拟合模型,可推算该地山区的极值风速,并利用山区临时观测资料对拟合模型进行了检验。结果表明,利用引入地形参数所建立的极值风速拟合模型来推算山区极值风速具有一定的可行性。     

Last Glacial Maximum Sea Surface Temperatures: A Model-Data Comparison

In this study,the authors investigated changes in Last Glacial Maximum(LGM)sea surface temperature(SST)simulated by the Paleoclimate Modelling Intercomparison Project(PMIP)multimodels and reconstructed by the Multiproxy Approach for the Reconstruction of the Glacial Ocean Surface(MARGO)project,focusing on model-data comparison.The results showed that the PMIP models produced greater ocean cooling in the North Pacific and Tropical Ocean than the MARGO,particularly in the northwestern Pacific,where the modeldata mismatch was larger.All the models failed to capture the anomalous east-west SST gradient in the North Atlantic.In addition,large discrepancies among the models were observed in the mid-latitude ocean,particularly with models in the second phase of the PMIP.Although these models showed better agreement with the MARGO,the latest models in the third phase of the PMIP did not show substantial progresses in simulating LGM ocean surface conditions.That is,improvements in the modeling community are still needed to describe SST for a better understanding of climate during the LGM.     

希尔伯特-黄变换技术及在边界层湍流研究中的应用

大气边界层中的湍流运动可以视为由许多不同时空尺度的湍涡叠加形成的,谱分析方法可以将这些不同尺度的涡旋分离开来。在介绍希尔伯特-黄变换（HHT）的基础上,选取2011年4月16日00—01时（北京时）、05—06时、12—13时不同时段的大气湍流观测数据,采用希尔伯特-黄变换技术分析了内蒙古科尔沁沙地地区的谱分布特征,得到的各内在模函数对应的中心瞬时频率可以表现出不同尺度上的湍流波动,其中,包含周期为3—5和10—13 min的阵风和重力内波,并在希尔伯特边际谱中体现。三维希尔伯特谱分布表明湍流能量多集中在频率小于0.5 Hz的低频段;大气湍流脉动较强的时段,其内在模函数和希尔伯特谱也对应着较大的能量。对比传统的快速傅里叶变换（FFT）方法,希尔伯特-黄变换可以更清晰地表现出湍流的频谱分布。     

Scalar Similarity for Relaxed Eddy Accumulation Methods

The relaxed eddy accumulation (REA) method allows the measurement of trace gas fluxes when no fast sensors are available for eddy covariance measurements. The flux parameterisation used in REA is based on the assumption of scalar similarity, i.e., similarity of the turbulent exchange of two scalar quantities. In this study changes in scalar similarity between carbon dioxide, sonic temperature and water vapour were assessed using scalar correlation coefficients and spectral analysis. The influence on REA measurements was assessed by simulation. The evaluation is based on observations over grassland, irrigated cotton plantation and spruce forest.Scalar similarity between carbon dioxide, sonic temperature and water vapour showed a distinct diurnal pattern and change within the day. Poor scalar similarity was found to be linked to dissimilarities in the energy contained in the low frequency part of the turbulent spectra ( < 0.01 Hz).The simulations of REA showed significant change in b-factors throughout the diurnal course. The b-factor is part of the REA parameterisation scheme and describes a relation between the concentration difference and the vertical flux of a trace gas. The diurnal course of b-factors for carbon dioxide, sonic temperature and water vapour matched well. Relative flux errors induced in REA by varying scalar similarity were generally below ± 10%. Systematic underestimation of the flux of up to − 40% was found for the use of REA applying a hyperbolic deadband (HREA). This underestimation was related to poor scalar similarity between the scalar of interest and the scalar used as proxy for the deadband definition.