基于帕默尔干旱指数的中国春季区域干旱特征比较研究

利用全国515个站(1957-2000年)气象资料,修正计算帕默尔干旱指数(Palmer drought severy index),进行干旱区划和研究春季区域演变特征.结果表明:中国干旱变化全区一致性程度低,干旱演变的区域差别大,存在着以内蒙古高原、南岭、华北北部及长白山脉、长江中下游、黄土高原、黄淮地区、天山北部、东北平原、河西走廊、云贵高原、塔里木盆地、青藏高原等为代表的12个干旱特征区.内蒙古高原区、华北北部及长白山脉区、黄土高原区、天山北部区域、东北平原区、河西走廊及其沙漠戈壁区春季干旱指数趋势变化呈下降趋势.南岭区、长江中下游区、黄淮区域、云贵高原区、塔里木盆地区、青藏高原区春季干旱指数趋势变化呈上升趋势.中国春季干旱指数大多存在5～8年的短周期年际周期变化,12～13年、15～16年的长周年际周期变化存在于部分区域,个别区域还存在20年长周期年际周期变化.中国干旱的区域特征差别显著.     

Conditional nonlinear optimal perturbation: Applications to stability,sensitivity, and predictability

Conditional nonlinear optimal perturbation (CNOP) is a nonlinear generalization of linear singular vector (LSV) and features the largest nonlinear evolution at prediction time for the initial perturbations in a given constraint. It was proposed initially for predicting the limitation of predictability of weather or climate. Then CNOP has been applied to the studies of the problems related to predictability for weather and climate. In this paper, we focus on reviewing the recent advances of CNOP’s applications, which involves the ones of CNOP in problems of ENSO amplitude asymmetry, block onset, and the sensitivity analysis of ecosystem and ocean’s circulations, etc. Especially, CNOP has been primarily used to construct the initial perturbation fields of ensemble forecasting, and to determine the sensitive area of target observation for precipitations. These works extend CNOP’s applications to investigating the nonlinear dynamical behaviors of atmospheric or oceanic systems, even a coupled system, and studying the problem of the transition between the equilibrium states. These contributions not only attack the particular physical problems, but also show the superiority of CNOP to LSV in revealing the effect of nonlinear physical processes. Consequently, CNOP represents the optimal precursors for a weather or climate event; in predictability studies, CNOP stands for the initial error that has the largest negative effect on prediction; and in sensitivity analysis, CNOP is the most unstable (sensitive) mode. In multi-equilibrium state regime, CNOP is the initial perturbation that induces the transition between equilibriums most probably. Furthermore, CNOP has been used to construct ensemble perturbation fields in ensemble forecast studies and to identify sensitive area of target observation. CNOP theory has become more and more substantial. It is expected that CNOP also serves to improve the predictability of the realistic predictions for weather and climate events plays an increasingly important role in exploring the nonlinear dynamics of atmospheric, oceanic and coupled atmosphere-ocean system. Supported by National Basic Research Program of China (Grant Nos. 2006CB403606, 2007CB411800), National Natural Science Foundation of China (Grant Nos. 40830955, 40675030, 40505013), Institute of Atmospheric Physics, Chinese Academy of Sciences (Grant No. IAP07202), and LASG State Key Laboratory Special Fund     

山东省春秋季暴雨天气的环流特征和形成机制初探

对山东省春秋季暴雨的气候特征和影响系统进行了分析, 制作了春秋季暴雨的平均环流形势图。分析了2003年春秋季两次大范围暴雨的环流特征和影响系统及暴雨期间大气的热力特征和水汽输送特征, 应用k-螺旋度和倾斜涡度发展理论, 分析了暴雨的形成机制。结果表明:4月暴雨均受气旋影响, 10月暴雨以冷锋影响居多。2003年4月17—18日为气旋暴雨, 10月10—12日为切变线冷锋暴雨。两次暴雨前都有低空偏南风急流向暴雨区输送水汽, 大气强烈增温增湿, 对流不稳定度增大, 湿斜压性增强。强冷锋南下触发对流不稳定能量释放, 产生暴雨。暴雨期间低层正k-螺旋度猛烈发展。暴雨前期中低层MPV1 < 0且MPV2 > 0, 冷锋影响期间MPV1 > 0且MPV2 < 0, 都有利于倾斜涡度发展, 增强了上升运动。     

浅析开采条件下地下热水资源的演变

地下热水的分布可以分为埋藏型(或盆地型)和出露型(或温泉型).埋藏型分布于沉积盆地深处,热储层规模大,有较大的储存资源,但补给资源极为有限或缺乏,开采地下热水主要是消耗储存资源,可导致热水系统水位持续下降.出露型多见于山区,地下热水以温泉的方式出露地表,其储存资源和补给资源均有限,在温泉附近开采热水可导致温泉流量减小直至干涸,热水系统水位、水温也会持续下降.在某些特定条件下在温泉附近打成的自流孔可使地下热水资源量有所增加.温泉的自封闭作用可使其流量减少.     

Recent changes in the spring microplankton of Lake Baikal,Russia

Lake Baikal is facing several environmental stressors, including climate change and nearshore eutrophication. To assess recent ecological changes in Lake Baikal and provide a baseline for future comparisons, we sampled spring plankton communities from the pelagic zone of the lake in 2016 and compared these data with unpublished and published historical information going back to 1990. In 2016, one pelagic long-term monitoring station was sampled in early spring (March) during ice cover and 21 long-term monitoring stations located throughout the lake were sampled in late spring (May-June). We measured water chemistry parameters at most stations and the abundance, taxonomic composition and biomass of bacteria, ciliates and phytoplankton at several locations in different areas of the lake. Biotic parameters from 2016 were compared with historical data, showing significant changes in the spring pelagic microbial community since the 1990s. We show increased quantities of small species, mixotrophic ciliates, and the appearance (or increasing number) of small coloured and colourless flagellates. We also show substantially decreased densities of formerly dominant heavily silicified diatoms such as Aulacoseira spp. Since 2007, Synedra acus subsp. radians, a smaller and weakly silicified diatom, has dominated the spring plankton of the lake. These results suggest that Lake Baikal’s pelagic plankton community may be changing, with climate likely playing a dominant role in these changes.     

新型钢弹簧浮置板道床隔振试验与数值分析研究

提出了一种附加位移放大杠杆的新型钢弹簧浮置板道床隔振装置并进行了理论分析,给出了该装置基于位移放大倍数的阻尼力和耗能计算公式。同时设计制作了附加3倍位移放大的新型钢弹簧浮置板道床隔振装置并进行了地铁振动测试,试验结果表明:该装置隔振效果显著。通过建立新型钢弹簧浮置板道床隔振系统有限元分析模型,数值模拟结果与实测振动数据可进行较好的吻合,结果表明:新型钢弹簧浮置板道床隔振系统能有效地减小结构的动力响应。     

SMIP2试验对亚洲夏季风的模拟能力及其可预报性的分析

利用参加第二次季节预测模式比较计划（Phase 2 of the Seasonal Prediction Model Intercomparison Project,简称SMIP2）的五个大气环流模式的输出结果,比较了这些模式对亚洲夏季降水的模拟能力,并讨论了大气环流模式在季节尺度上对亚洲夏季风的可预报性。结果表明,各模式能够较好地模拟亚洲夏季降水的大尺度分布特征。除了模拟的东亚夏季降水异常经验正交函数分解第一模态（EOF1）的时间系数与观测之间的相关系数较低之外,多数模式可以大致再现东亚、南亚和西太平洋夏季降水异常EOF1及其对应的时间系数。分析表明,热带地区有很好的可预报性,北半球副热带地区的可预报性尽管也较好,但比热带地区要低,南半球热带以外地区的可预报性较差,陆地上的可预报性比海洋上低。在热带和北半球副热带地区,由海温强迫所产生的较大外部方差对此地高可预报性有很大的贡献。与正常年份相比,模式在强El Ni?o年和强La Ni?a年表现出较高的可预报性,在南亚和印度洋地区大多数模式在El Ni?o年比La Ni?a年产生了更好的可预报性,在中西太平洋区域El Ni?o年可预报性的高值中心较La Ni?a年位置偏西。     

Contributions of Fuqing ZHANG to Predictability,Data Assimilation,and Dynamics of High Impact Weather: A Tribute

This article reviews Fuqing ZHANG’s contributions to mesoscale atmospheric science,from research to mentoring to academic service,over his 20-year career.His fundamental scientific contributions on predictability,data assimilation,and dynamics of high impact weather,especially gravity waves and tropical cyclones,are highlighted.His extremely generous efforts to efficiently transmit to the community new scientific knowledge and ideas through mentoring,interacting,workshop organizing,and reviewing are summarized.Special appreciation is given to his tremendous contributions to the development of mesoscale meteorology in China and the education of Chinese graduate students and young scientists.     

Nonlinear Atmospheric and Climate Dynamics in China （2003-2006）： A Review

Recent advances in the study of nonlinear atmospheric and climate dynamics in China （2003 2006） are briefly reviewed. Major achievements in the following eight areas are covered： nonlinear error dynamics and predictability; nonlinear analysis of observational data; eddy-forced envelope Rossby soliton theory; sensitivity and stability of the ocean＇s thermohaline circulation; nonlinear wave dynamics; nonlinear analysis on fluctuations in the atmospheric boundary layer; the basic structures of atmospheric motions; some applications of variational methods.     

2009年冬季至2010年春季黑龙江省气温持续偏低成因

利用常规观测的温度资料和中国国家气候中心提供的环流特征量、NCEP/NCAR再分析资料及美国气候预测中心（CPC）提供的AO指数等,分析了2009年11月至2010年4月中高纬大气环流异常特征,探讨了AO与同期气温的关系。分析表明：黑龙江省冬春气候异常与500 hPa大尺度环流背景有关。冬春持续偏冷,对应北半球欧亚中高纬地区呈“-+-”的波列分布,90°-180°E呈现出“北正南负”的环流形势;北半球极涡面积偏大,冬季东亚大槽位置偏西,春季东亚大槽强度偏强,冬春AO指数持续异常偏强,显著负位相。