中国西北地区降水的演变趋势和年际变化

将 PCA和 SSA相结合 ,分析了中国西北地区降水量的演变趋势和年际变化 ,结果表明 :西北地区的降水变化的主要趋势是 1 960年代初多雨 ,到 1 970年代初演变为少雨 ,1 980年代又多雨 ,1 990年代少雨。这种趋势在陇南和陕西中南部是最显著的 ,天山北麓区也是相对显著区。西北地区降水主要存在准 8.5a、准 3～ 4a和准 5.1 a的甚低频振荡。甚低频振荡在降水中的重要性依次为准 8.5a、准 3～ 4a和准 5.1 a。准 8.5a振荡的振幅要比准 3～ 4a和准5.1 a振荡的振幅变化大。振荡位相在空间的分布并不完全一致。     

GPS遥感大气可降水量在大连地区3次降水过程中的应用

利用大连市气象局地基GPS/MET观测网大气可降水量（PWV）数据,分析2011年大连瓦房店、庄河和长海地区降水天气过程PWV的变化特征及其与降水量和降水强度的关系,在此基础上通过分析物理量场和天气系统,探讨大尺度水汽输送、辐合与PWV变化的关系及GPS在暴雨天气中的应用。结果表明：PWV的增长方式受当地天气系统的支配和制约,对一次明显的降水过程,从开始至结束PWV的变化与降水量有明显的相关性。当有水汽由南向北输送时,PWV在降水开始前逐渐增长,当地面及高空有大范围的水汽辐合且高空比湿值大于10 g·kg^-1时,PWV显著增长（降水开始前4-5 h）,主要降水时段与PWV峰值相对应,同时PWV的增幅大小与降水强度有明显的关系。     

Mapping daily temperature and precipitation in the Qilian Mountains of northwest China

Daily meteorological data are the critical inputs for distributed hydrological and ecological models. This study modified mountain microclimate simulation model （MTCLIM） with the data from 19 weather stations, and compared and validated two methods （the MTCLIM and the modified MTCLIM） in the Qilian Mountains of Northwest China to estimate daily temperature （i.e., maximum temperature, minimum temperature） and precipitation at six weather stations from i January 2000 to 31December 2009. The algorithm of temperature in modified MTCLIM was improved by constructing the daily linear regression relationship between temperature and elevation, aspect and location information. There are two steps to modify the MTCLIM to predict daily precipitation： firstly, the linear regression relationship was built between annual average precipitation and elevation, location, and vegetation index; secondly, the distance weight for measuring the contribution of each weather station on target point was improved by average wind direction during the rainy season. Several regression analysis and goodness-of-fit indices （i.e., Pearson＇s correlation coefficient, coefficient of determination, mean absolute error, root-mean-square error and modelingefficiency） were used to validate these estimated values. The result showed that the modified MTCLIM had a better performance than the MTCLIM. Therefore, the modified MTCLIM was used to map daily meteorological data in the study area from 2000 to 2009. These results were validated using weather stations with short time data and the predicted accuracy was acceptable. The meteorological data mapped could become inputs for distributed hydrological and ecological models applied in the Qilian Mountains.     

攀枝花市大气污染物降水清除机制的研究

本文采用了主成份分析及因子分析的方法,研究了影响降水pH值的主要源及其贡献和这些源被降水清除的机制。分析结果表明:大气中一次污染物是影响降水pH及各种成分浓度的主要因素。人为污染源包括高排放源、低排放源和汽车源,它们的排放物以碱性物质为主;自然污染源包括输送物、腐烂物、自然NOx等,它们的排放物主要是酸性物质;在一般情况下,降水的pH值取决于高、低排放源排放的碱性物质的多寡;降水量越大,清除的污染物越多,在雨季各测点降水平均pH值为6.31～7.10。在高排放源影响小的地方,对持续时间长的大雨,降水后期的pH能反映自然源的影响,其值小于5.60。可见,攀枝花市酸雨几率极低甚至降水呈碱性,     

基于参数空间分布的海洋生态系统模拟

在模拟大尺度海洋生态系统时,由于子区域的生态系统有着各自的特征,导致参数值在空间上存在差异,因此参数在整个研究区域取常数的做法必须改进.基于此,使用气候模式FOAM的气侯态背景场驱动一个简单的三维海洋生态系统模型,并引入参数的空间分布,在全球尺度上通过伴随方法同化SeaWiFS叶绿素资料.引入参数空间分布后,同化结果得到很大改进:浮游植物表层生物量(氮)的平均差从0.155 3减小至0.060 6 mmol·m-3,下降了60.9%,有效地降低了模拟值与观测值在空间上的差异;浮游植物表层生物量平均值也从0.103 1上升至0.125 2 mmol·m-3,更接近SeaWiFS观测.实验结果表明通过引入参数的空间分布来改进海洋生态系统的模拟是可行的.     

暴雨过程中积云对流反馈作用的诊断研究

根据各收支方程讨论，概述了各研究者采用直接和间接的方法，计算得出长江流域梅雨期暴雨过程中各源汇的空间分布特征。虽然个例，地区和资料不同，其结果各有差异，易比较，但次网格尺度运动对不尺度环境场的反馈作用均非常显著，因而在设计暴雨预报的数值模式时，参数化方案是必不可少的。     

A groundwater isoscape (δD, δO) for Mexico

Numerous studies have shown that precipitation isocapes drive δD and δ¹⁸O patterns in surficial waters and in terrestrial food webs. While the GNIP (Global Network for Isotopes in Precipitation) dataset provided a key foundation for linking precipitation-terrestrial isoscapes globally, it has insufficient spatial coverage in many countries like Mexico. To overcome this limitation, we hypothesized that shallow phreatic groundwaters in Mexico could be used as an isotopic integrator of long-term seasonally weighted precipitation inputs to the landscape to aid in calibrating spatial H and O isotope datasets for terrestrial, biological and hydrological research. Groundwater was sampled from 234 sites in Mexico at ~ 50 km latitudinal spacing to obtain high spatial resolution and country-wide coverage for the construction of a groundwater isoscape. Our data revealed that shallow groundwater infiltration in Mexico appears largely unaffected by evaporation and reflects seasonally weighted precipitation inputs. These precipitation inputs are primarily biased to summertime when highest rainfall occurs, but a small degree of post-precipitation evaporation revealed a lower d-excess zone that corresponded to the interior semi-arid ecozone. We developed a predictive general linear model (GLM) for hydrogen and oxygen isotopic spatial patterns in Mexican groundwater and then compared the results to a validation subset of our field data, as well external data reported in the literature. The GLM used elevation, latitude, drainage basin (Atlantic vs. Pacific), and rainfall as the most relevant predictive variables. The GLM explained 81% of the overall isotopic variance observed in groundwater, 68% of the variance within our validation subset, and 77% of the variance in the external data set. Our predictive GLM is sufficiently accurate to allow for future ecological, hydrological and forensic isoscape applications in Mexico, and may be an approach that is applicable to other countries and regions where GNIP stations are lacking.     

喜马拉雅山脉的地质地貌特征:来自SRTM数字高程模型和降水量数据的约束

利用GTOPO30和SRTM3数字高程(DEM)数据,提取了喜马拉雅山脉(造山带)的数字高程模型并对其进行了地质地貌的初步分析。从SRTM3数字高程数据提取出坡度数据,初步分析了喜马拉雅山脉坡度和高程的特征。数字高程和坡度图清楚地展现了喜马拉雅大型断裂带(构造边界)的空间分布特征。分析了中国气象局下属的西藏、青海、四川和云南4省区气象观测台站55年来的年平均降水量观测数据、喜马拉雅山脉南坡的年平均降水量数据、喜马拉雅DEM和裂变径迹数据,发现喜马拉雅山脉从东至西,年平均降水量逐渐减少,地形起伏逐渐变小,而高程渐次升高,与此同时剥蚀速率降低;从北至南,年平均降水量逐渐增加,地形起伏增大,高程快速降低,而剥蚀速率则急剧升高。这充分说明了喜马拉雅年平均降水量大的地区,地表剥蚀作用相对较强,年平均降水量小的地区,地表剥蚀作用则较弱,即:在喜马拉雅地区,长周期的地表剥蚀过程(可长达数个百万年时间尺度)和短周期(仅仅50年)的降水量观测是耦合的。     

Adaptive Multiscale Permeability Estimation

With multiscale permeability estimation one does not select parameterization prior to the estimation. Instead, one performs a hierarchical search for the right parameterization while solving a sequence of estimation problems with an increasing parameterization dimension. In some previous works on the subject, the same refinement is applied all over the porous medium. This may lead to over-parameterization, and subsequently, to unrealistic permeability estimates and excessive computational work. With adaptive multiscale permeability estimation, the new parameterization at an arbitrary stage in the estimation sequence is such that new degrees of freedom are not necessarily introduced all over the porous medium. The aim is to introduce new degrees of freedom only where it is warranted by the data. In this paper, we introduce a novel adaptive multiscale estimation. The approach is used to estimate absolute permeability from two-phase pressure data in several numerical examples.