Estimation of the 3D correlation structure of an alluvial aquifer from surface-based multi-frequency ground-penetrating radar reflection data

Knowledge about the stochastic nature of heterogeneity in subsurface hydraulic properties is critical for aquifer characterization and the corresponding prediction of groundwater flow and contaminant transport. Whereas the vertical correlation structure of the heterogeneity is often well constrained by borehole information, the lateral correlation structure is generally unknown because the spacing between boreholes is too large to allow for its meaningful inference. There is, however, evidence to suggest that information on the lateral correlation structure may be extracted from the correlation statistics of the subsurface reflectivity structure imaged by surface-based ground-penetrating radar measurements. To date, case studies involving this approach have been limited to 2D profiles acquired at a single antenna centre frequency in areas with limited complementary information. As a result, the practical reliability of this methodology has been difficult to assess. Here, we extend previous work to 3D and consider reflection ground-penetrating radar data acquired using two antenna centre frequencies at the extensively explored and well-constrained Boise Hydrogeophysical Research Site. We find that the results obtained using the two ground-penetrating radar frequencies are consistent with each other, as well as with information from a number of other studies at the Boise Hydrogeophysical Research Site. In addition, contrary to previous 2D work, our results indicate that the surface-based reflection ground-penetrating radar data are not only sensitive to the aspect ratio of the underlying heterogeneity, but also, albeit to a lesser extent, to the so-called Hurst number, which is a key parameter characterizing the local variability of the fine-scale structure.     

东海近海台风发生发展的动能收支

用2.5×2.5经纬距热带网格资料,对东海近海台风(以8211号台风为例)的动能收支进行了分析研究。初步结果表明,台风是一个强大的动能源,其发生发展不同阶段的动能平衡有着较大的差异,平均环流和涡动过程在台风的发生发展各不同阶段的作用不同。我们发现的主要事实有二,(一)在台风发展过程中,其中层有明显的动能制造过剩;(二)动能制造量的变化与台风未来的强度变化有关,具有一定的预报指示意义。      

China coldwave duration in a warming winter: change of the leading mode

Changes of extreme climate in a warming climate may be different from place to place. How the China cold extreme events change is still an outstanding issue. From observational and modeling perspectives, this study investigates the change of the leading mode of the China coldwave duration (CWD) in a warming climate. CWD significantly reduces across China during 1957–2009. The reduction in northern China is much more than that in southern China. The CWD leading mode derived from the Empirical Orthogonal Function analysis is characterized by extreme value centers located in northern China during the cold period (1957–1979) and shifting to southern China during the warm period (1980–2009). This indicates that southern China may experience longer or shorter coldwaves in the past three decades, while those in northern China tend to vary less vigorously. The multi-model ensemble of seven state-of-the-art climate models from the Intergovernmental Panel on Climate Change (IPCC) show that under the IPCC SRES A1B scenario, the maximum loading of the CWD leading mode extends to southern China at the end of twenty-first century (2080–2099). These results indicate that the primary change of the CWD leading mode in a warming climate might be the southward shift of the variation center and such position change may lead to more intense coldwave variations in southern China as observed in the past decades. Possible physical mechanisms on the variation of the CWD major mode are also investigated in this study.     

川贵渝复杂地形下横槽诱发双涡贵州暴雨过程的数值模拟

青藏高原大地形作用下,西南复杂地形区暴雨天气预报是一个十分重要和困难的科学问题。应用西南区域数值预报业务模式,结合业务常规观测和非常规观测资料,分析了2014年7月15日至17日发生在四川、贵州和重庆复杂地形下的一次由横槽诱发双低涡的贵州暴雨过程,得到:西南区域模式对这次暴雨过程的数值模拟结果与再分析资料有较好的对应关系,尤其是重现了降雨的落区、强度以及盆地涡与贵州涡的发生、发展过程。在暴雨过程中,两低涡垂直发展深厚,上升运动均伸展至对流层顶。涡度收支方面,盆地涡的发展主要源于涡度方程的散度项,而贵州涡的发展除了受散度项的显著影响外,平流项也起着重要作用。由于川渝盆地—云贵高原交界处地形、云贵高原横断山脉延伸区局地地形的作用,区域大气气旋式旋转的加强发展诱发了盆地涡和贵州涡。热力结构上,盆地涡的发生、发展在冷、暖气流交汇辐合区域内,而贵州涡则生成在暖区中,其降雨及加强更多地受到动力过程的影响。川渝盆地—云贵高原特殊的北低南高地形使高纬度干冷气流与低纬度暖湿气流交汇,形成强的上升运动,引发了盆地涡发展及其暴雨天气。云贵高原贵州特殊的西高东低地形导致来自低层的暖湿气流只能沿横断山脉边缘绕流,进入贵州西部的偏南气流与来自盆地涡西侧的偏东北气流汇合作用形成贵州涡,引发贵州暴雨天气。因此,局地地形与环流的相互作用是贵州涡生成及其引发暴雨过程的重要原因。      

大理雨季开始期演变及异常环流特征分析

利用云南省大理州12个气象站1962～2008年共47a雨季开始期资料及NCEP／NCAR高度场及风场资料分析了大理雨季开始期的时空分布特征及异常年环流特征。EOF分析表明,大理雨季开始期存在多种空间分布类型,主要的分布型是一致偏早（晚）型及东南一西北型。Morlet小波分析表明,大理雨季开始期在20世纪60年代初到70年代中期偏早,70年代中期至90年代初偏晚,90年代初至今偏早;且存在约2a和10a的特征时间周期变化。异常偏早年5月高度距平场上北半球经向上呈“-＋-”的分布,异常偏晚年则相反,呈“＋-＋”的分布。异常年5月高、中低层的距平风场同样存在明显差异,异常偏早年高层存在增强伊朗高压的反气旋环流,低层存在偏强的南亚季风环流,异常偏晚年则是相反的环流特征。     

NOx与NMHC的变化对O3 生成量的影响

利用LLA-C光化学反应机制,在NOx体积分数φ变化范围很广（1.75～350.0,单位为10-9,以下同）的条件下,选择18种NMHC与NOx的体积分数比（2.0～200.0）模拟分析在什么条件下NMHC的改变对臭氧生成量不大敏感而主要依赖于NOx的大小,同时给出相应条件下OH模拟值的变化。结果表明,OH峰值均出现在φ(NMHC/NOx)≈8.0。所找条件是φ(NOx)≤50.0时要求φ(NMHC/NOx)≥60.0;φ(NOx)>50.0时需要8.0≤φ(NMHC/NOx)≤28.0。相应O3生成量的最大误差小于20%。该条件正适合我国典型污染城市当前φ(NOx)水平和φ(NMHC/NOx)范围,可用于我国区域尺度空气质量模拟。与实测资料的对比还有待进一步开展。     

天津市空气污染数值预报试验中的模式系统

介绍了天津市空气污染数值预报实验中城市空气污染数值预报模式系统的构成及各模块的功能。在天津市空气污染预报实验期间, α中尺度气象模式对区域范围内的逐时风、温、湿及其降水预报取得了较好的效果, 且模式的计算时间短; β中尺度气象模式在边界层内具有较高的垂直分辨率, 模拟结果合理, 其中计算与观测的风向差小于６０ｏ的概率达到６４３％ , 计算与观测的风速比值接近于１; 预报的地面ＳＯ２、ＮＯｘ和ＴＳＰ浓度与同步监测值相比, 城市空气污染预报模式对ＳＯ２和ＮＯｘ的日平均浓度的预报效果较好, 预报准确率达６４０％ , 而对ＴＳＰ的预报则较差     

淮河流域夏季极端降水频次空间分布的客观分类及其形成机理

本文基于1961～2016年淮河流域四省（江苏、安徽、河南、山东）逐日降水观测资料及全球大气再分析资料,利用K均值聚类、旋转经验正交函数分解对淮河流域夏季极端降水频次分布进行了客观分类,利用统计诊断和数值模拟的手段讨论了其相关环流异常和形成机理。结果表明:（1）淮河流域夏季极端降水频次的空间分布可客观分为以极端降水主要发生在淮河流域33°N以南地区的南部型,主要发生在32°～36°N之间的中部型,和主要发生在34°N以北的北部型这三种分布类型;（2）南部型极端降水频次分布与西北太平洋副热带高压异常偏西偏南有关,西北太平洋异常反气旋北侧的异常气旋性环流使得水汽输送停留在淮河流域南部,导致南部极端降水频次偏多。中部型对应淮河流域受鞍型场环流结构控制,导致中部极端降水频次偏多。北部型极端降水频次分布时,淮河流域处于反气旋性环流异常西南侧,偏南风将水汽输送至淮河流域北部,导致北部极端降水频次偏多;（3）南部型和北部型的极端降水频次分布相关环流异常分别受厄尔尼诺和拉尼娜相关海表温度异常所影响,而中部型极端降水频次分布的相关环流异常是巴伦支海/喀拉海海冰异常在欧亚大陆上空激发的自西北向东南传播的准定常罗斯贝波所导致的。     

北半球环状模和东北冷涡与我国东北夏季降水关系分析

利用国家气象信息中心提供的1951～2004年全国160个测站月平均降水资料和欧洲中心提供的ERA-40再分析资料,对近50多年东北地区夏季降水、东北冷涡与前期北半球环状模和海温的关系进行了统计分析,定义了一个夏季(6～8月)东北冷涡强度指数(NECVI)。结果表明:NECVI能够较好表征东北低涡的气候效应;夏季东北冷涡强度与降水存在显著的正相关,东北冷涡强年,降水偏多,前期2月北半球环状模(NAM)偏弱;东北冷涡偏弱年,降水偏少,前期2月NAM偏强。此外,夏季东北冷涡与前期的中国近海海温存在显著的负相关,前期NAM和中国近海海温的异常可以作为夏季东北冷涡异常的一个前兆信号,进而为东北地区夏季降水异常的预测提供参考依据。     

Prediction of the Asian-Australian Monsoon Interannual Variations with the Grid-Point Atmospheric Model of IAP LASG （GAMIL）

Seasonal prediction of Asian-Australian monsoon （A-AM） precipitation is one of the most important and challenging tasks in climate prediction. In this paper, we evaluate the performance of Grid Atmospheric Model of IAP LASG （GAMIL） on retrospective prediction of the A-AM interannual variation （IAV）, and determine to what extent GAMIL can capture the two major observed modes of A-AM rainfall IAV for the period 1979-2003. The first mode is associated with the turnabout of warming （cooling） in the Nifio 3.4 region, whereas the second mode leads the warming/cooling by about one year, signaling precursory conditions for ENSO.
We show that the GAMIL one-month lead prediction of the seasonal precipitation anomalies is primarily able to capture major features of the two observed leading modes of the IAV, with the first mode better predicted than the second. It also depicts the relationship between the first mode and ENSO rather well. On the other hand, the GAMIL has deficiencies in capturing the relationship between the second mode and ENSO. We conclude： （1） successful reproduction of the E1 Nifio-excited monsoon-ocean interaction and E1 Nifio forcing may be critical for the seasonal prediction of the A-AM rainfall IAV with the GAMIL; （2） more efforts are needed to improve the simulation not only in the Nifio 3.4 region but also in the joining area of Asia and the Indian-Pacific Ocean; （3） the selection of a one-tier system may improve the ultimate prediction of the A-AM rainfall IAV. These results offer some references for improvement of the GAMIL and associated seasonal prediction skill.