2009年11月汕尾红海湾海面风场的观测分析

广州亚运会帆船帆板的比赛项目于2010年11月在汕尾红海湾广东省水上运动基地举行。根据2009年11月海上浮标观测数据,分析了红海湾赛场的海面风场特征及日变化规律;并根据地面气压场特点和风场日变化特征对海面风场进行了分类;最后,结合海-陆气压差观测数据,初步探讨海陆热力差异与海面风日变化的关系。结果表明:11月红海湾赛场以偏北和偏东风为主,风向具有近似余弦函数的日变化特征;风速的日变化不明显,但午后14—18时弱风和强风的出现机会较少,最适合比赛。11月红海湾赛场的海面风可归纳为海陆型、系统转折型和阴天型三种类型,三种类型的海面风分别占月总日数的46.7%、33.3%和20%。浮标-海丰观测站的气压差与海面风南北分量的变化有密切关系,可作为海面风场的有效预报指标。     

A SIMILARITY SCHEME FOR QUANTITATIVE FORECAST OF PRECIPITATION OF TYPHOONS

A quantitative scheme is put forward in our work of forecasting the storm rainfall of typhoons for specific sites.Using the initial parameters,weather situations and physical quantities as well as numerical weather prediction products,the scheme constructs multivariate,objective and similarity criteria for environmental factors for the time between the current and forthcoming moment within the domain of forecast.Through defining a non-linear similarity index,this work presents a comprehensive assessment of the similarity between historical samples of typhoons and those being forecast in terms of continuous dynamic states under the multivariate criteria in order to identify similar samples.The historical rainfall records of the similar samples are used to run weighted summarization of the similarity index to determine site-specific and quantitative forecasts of future typhoon rainfall.Samples resembling the typhoon being forecast are selected by defining a non-linear similarity index composed of multiple criteria.Trial tests have demonstrated that this scheme has positive prediction skill.     

非等间隔灰色模型在滑坡监测中的应用

针对多数滑坡监测得到的数据是非等间隔的情况,运用新方法推导出MUGM(1,m)模型。首先用间隙变换后的时间间隔代替原始时间间隔,然后构造新的时间序列,最后根据微分方程推导出预测公式;并以某滑坡体为实例进行建模分析,通过与传统时间加权的方法对比,验证了新方法的预测精度要优于传统方法。     

Application and Verification of Joint Probability Method in Potential Forecast for Severe Convective Weather in Anhui Province

In consideration of large uncertainties in severe convective weather forecast, ensemble forecasting is a dynamic method developed to quantitatively estimate forecast uncertainty. Based on ensemble output, joint probability is a post-processing method to delineate key areas where weather event may actually occur by taking account of the uncertainty of several important physical parameters. An investigation of the environments of little rainfall convection and strong rainfall convection from April to September (warm season) during 2009-2015 was presented using daily disastrous weather data, precipitation data of 80 stations in Anhui province and NCEP Final Analysis (FNL) data. Through ingredients-based forecasting methodology and statistical analysis,four convective parameters characterizing two types of convection were obtained, respectively, which were used to establish joint probability forecasting together with their corresponding thresholds. Using the ECMWF ensemble forecast and observations from April to September during 2016-2017, systematic verification mainly based on ROC and case study of different weather processes were conducted. The results demonstrate that joint probability method is capable of discriminating little rainfall convection and non-convection with comparable performance for different lead times, which is more favorable to identifying the occurrence of strong rainfall convection. The joint probability of little rainfall convection is a good indication for the occurrence of regional or local convection, but may produce some false alarms. The joint probability of strong rainfall convection is good at indicating regional concentrated short-term heavy precipitation as well as local heavy rainfall. There are also individual missing reports in this method, and in practice, 10% can be roughly used as joint probability threshold to achieve relative high TS score. Overall, ensemble-based joint probability method can provide practical short-term probabilistic guidance for severe convective weather.     

铁在含水层介质中的沉积行为研究

为分析铁在含水层介质中的沉积行为,以石英砂为实验材料,研究了铁在石英砂表面的吸附规律,并对接触时间、铁浓度、腐植酸、钙离子等对沉积过程的影响进行了探讨。结果表明:铁在石英砂上的沉积是单分子层沉积,且沉积过程符合准一级动力学模型。低浓度腐殖酸会促进铁在石英砂上的沉积,但受络合作用影响,增加腐植酸浓度会减少铁在石英砂上的沉积。当水中存在阳离子Ca2+和阴离子SO42-时,会促进铁的沉积,NO3-离子的影响较小,而高浓度F-离子会阻碍铁的沉积。     

京津冀地区夏季降水冰云和非降水冰云云特征对比分析

利用2013～2016年的Aqua MODIS卫星和CloudSat卫星的二级产品资料,对发生在京津冀地区夏季的降水冰云和非降水冰云进行了统计。基于此,对比分析了两类冰云的云类型,研究了二者在云特征参数、云层数及垂直结构上的差异,并且探究了二者在不同通道下云特征参数的相对大小。结果表明:1）京津冀地区的降水冰云以深对流云和雨层云为主,分别占48.63%和34.65%,而非降水冰云以高层云和卷云为主,分别占55.62%和31.58%。2）降水冰云和非降水冰云的平均云顶温度、云顶高度、光学厚度、积分云水总量、有效粒子半径分别为230.99 K、10.90 km、53.26、937.98 g/m2、31.45m和236.17 K、10.10 km、12.81、209.00 g/m2、27.54 μm。3）降水冰云以单层云为主,占80.39%,双层云占18.75%;而非降水冰云仍以单层云为主,占85.35%,双层云则占14.38%,比降水冰云低。4）相较于非降水冰云,降水冰云中卷云和高积云云体位置较高,而高层云和深对流云位置较低。5）随高度变化,降水冰云冰水含量是双峰结构,而非降水冰云是单峰结构;二者的粒子数浓度则差异不大;非降水冰云的粒子有效半径在5～7.5 km随高度变化不大,而降水冰云则随高度减小。6）降水冰云的积分云水总量、光学厚度和粒子有效半径>≥模态[、、分别代表该云特征参数在1.6、2.1、3.7 μm通道中的数值,当n=1, 2, 3时,分别代表光学厚度（b₁）、积分云水总量（b₂）、有效半径这三种（b₃）]的比例都高于非降水冰云,而二者在云参数≥≥模态的比例则有差异。     

印度洋海温的偶极振荡与高原汛期降水和温度的关系

利用1961—2000年近40年印度洋海温距平场资料及对应的青藏高原35个观测站的降水与温度资料,通过相关普查得出,印度洋地区东西海温的偶极振荡与青藏高原汛期降水、温度有较好的相关关系,特别是前期1月、12月～2月的印度洋地区东西海温的偶极指数与青藏高原汛期(6～8月)降水和前一年6月的印度洋地区东西海温的偶极指数与青藏高原汛期(6～8月)温度有很好的相关。分析1961—2002年NCEP／NCAR 500hPa北半球高度场资料发现,印度洋地区东西海温的偶极指数与欧亚500hPa的高度场异常有密切的关系,并通过印度西南季风的强弱,影响到青藏高原汛期降水和温度的变化。     

冲击矿压危险预测的电磁辐射原理

由于煤岩冲击破裂过程中,裂缝的形成和颗粒的摩擦会产生电磁辐射,因此,可采用电磁辐射技术来预测煤矿的冲击矿压危险.研究表明,电磁辐射基本上随着加载及变形速率的增加而增强;在发生冲击性破坏以前,电磁辐射强度一般在某个值以下,而在冲击破坏时,电磁辐射强度突然增加;煤体应力越大,变形破裂越强烈,电磁辐射信号也越强.煤岩变形破坏的弹塑脆性模型分析表明,煤岩体的损伤速度与电磁辐射脉冲数、声发射事件数成正比,与瞬间释放的能量、变形速度成正比.对具有强冲击危险工作面进行的研究表明,电磁辐射完全可以预测煤矿冲击矿压危险,检验卸压爆破效果,而且准确率高,效果明显.     

The influence of air mass source on the seasonal isotopic composition of precipitation, eastern USA

As part of the AIRMoN program, daily precipitation samples have been collected since the early 1990s throughout the eastern and central United States. Using precipitation stable isotope (δ¹⁸O and δD) and HYSPLIT back trajectory analysis of 591 samples collected by the AIRMoN program from Florida, Illinois, Pennsylvania, Tennessee, Vermont, and West Virginia, amount weighted seasonal average isotopic compositions were calculated for precipitation from Continental, Pacific, Gulf of Mexico, Arctic, North Atlantic, and Mid Atlantic sources. Our results suggest that these sources are isotopically distinct and variable at and among most sites during most seasons. However, in many instances, the isotopic differences of the sources require dramatic changes in precipitation amounts from these sources to modify the seasonal average isotopic composition at a particular site. The relative importance of each source type to the seasonal average isotopic composition is highly variable among and within sites. The largest differences in the isotopic compositions of different sources are in winter and spring precipitation from the high latitude sites. At the Vermont location, the seasonal average isotopic composition is potentially quite sensitive to the relative amounts of precipitation from Arctic and Gulf of Mexico sources.     

嫩江流域径流的可预报性及其时间尺度分析

本文在阐述径流过程主要影响因素和表现特征基础上,采用混沌理论,对于嫩江流域月径流过程系统进行了延滞时间、嵌入纬度、关联维数等计算,进而进行相空间重构,计算出其最大Lyapunov指数为0.13,说明该系统具有混沌特征.初步得出如下结论:①嫩江流域中长期径流预报的预见期为7～8个月;②"数据驱动模型"对于中长期径流预报更有其方法的适用性;③中长期径流预报计算时段应以月为单位.