长江中游和下游夏季降水季节内振荡的差异

利用1979~2013年中国站点逐日降水资料和NCEP/NCAR再分析资料,对长江中下游夏季降水的季节内振荡最显著周期进行了分析研究。结果表明长江中游最显著周期为10~30天,长江下游最显著周期为30~60天。为了揭示这种差异产生的物理原因,进一步利用位相合成的方法对这两个区域不同周期的季节内振荡降水、高低空风场和高度场以及垂直结构和水汽等循环过程的演变特征进行分析。在200 hPa环流场上,长江中游的降水主要受到高纬度自西向东传播的波列影响,而长江下游的降水与鄂霍次克海的高度场的变化相关。在风场的垂直涡度和散度的位相结构演变过程中,10~30天的垂直涡度和散度有自北向南的移动,30~60天的垂直涡度和散度在长江以南地区有自南向北的传播。水汽输送的位相发展过程表明,长江中游的水汽分别来自于南海的向北输送和长江以北地区向南的水汽输送;长江下游地区的水汽则主要来自于热带东印度洋经孟加拉湾的向东输送并在南海的北向输送,以及西太平洋水汽向西输送到南海再向长江下游的输送。从高层大尺度环流场和整层积分的水汽通量输送上解释了长江中游10~30天降水的自北向南移动,和长江下游30~60天降水自南向北传播的原因。     

On the Role of Perturbation Potential Energy in Variability of the East Asian Summer Monsoon: Current Status and Prospects

The East Asian Summer Monsoon (EASM) exerts considerable influences on the climate in China. Studying kinetic energy sources of monsoon circulation from the perspective of energetics is critical important to understand monsoon variability and relevant mechanism. The traditional theory of Available Potential Energy (APE) and relevant studies were reviewed, and some limitations of the APE theory in studying regional effective energy cycle and transformation were discussed. A new theory of Perturbation Potential Energy (PPE) of atmospheric circulation, which can be applicable to the study of energy cycle and transformation of regional circulation systems,was introduced. The advantage of the PPE theory in studying regional effective energy cycle and conversion was discussed, and some advances in the role of the PPE in variability of the EASM were further reviewed. At the end, some important scientific open questions about the application of the PPE to investigations of EASM variability in future were summarized as follows: spatial-temporal characteristics and dominant modes of PPE at seasonal-interannual timescale over the EASM region, and their relationships with the EASM and lower boundary forcings; the physical processes and relevant mechanisms on how lower boundary forcings affecting the kinetic energy of EASM circulation through the key link of PPE; the preceding PPE signals associated with EASM variations, relevant underlying mechanisms, and predictability of the preceding PPE signals as well.     

1998年夏季长江流域大气季节内振荡的结构演变及其对降水的影响

利用中国逐日降水格点资料和NCAR/NCEP再分析资料,对1998年发生在我国东部长江中下游流域的夏季持续性强降水过程中显著的大气季节内振荡(ISO)的三维结构演变等活动特征进行了分析。1998年夏季长江及江南地区的异常强降水对应着该地区强的ISO活动。利用位相合成方法,对长江流域两个典型的季节内循环周期的ISO降水、850 hPa水平风场以及水汽和垂直速度等循环过程的时空分布特征进行了诊断分析。在低频环流场上,对流层低层的低频气旋和反气旋环流表现出交替在热带西北太平洋增强并向西偏北方向移动发展的特征,当异常气旋环流移动到长江流域上空时,长江流域正好位于气旋环流西南侧的东北风异常和西北太平洋上向西移动的反气旋环流西北侧的西南风异常环流汇合处的下方,引起该地区强降水的发生。在强降水阶段的ISO的垂直结构上,上升运动和水汽表现出从华南到长江流域自南向北移动的特征,强烈的垂直上升运动以及来自南方充足的水汽为增强长江流域地区的降水起到了重要作用。     

Analysis of lower-boundary climate factors contributing to the summer heatwave frequency over eastern Europe using a machine-learning model

A machine-learning (ML) model, the light gradient boosting machine (LightGBM), was constructed to simulate the variation in the summer (June–July–August) heatwave frequency (HWF) over eastern Europe (HWF_EUR) and to analyze the contributions of various lower-boundary climate factors to the HWF_EUR variation. The examined lower-boundary climate factors were those that may contribute to the HWF_EUR variation—namely, the sea surface temperature, soil moisture, snow-cover extent, and sea-ice concentration from the simultaneous summer, preceding spring, and winter. These selected climate factors were significantly correlated to the summer HWF_EUR variation and were used to construct the ML model. Both the hindcast simulation of HWF_EUR for the period 1981–2020 and its real-time simulation for the period 2011–2020, which used the constructed ML model, were investigated. To evaluate the contributions of the climate factors, various model experiments using different combinations of the climate factors were examined and compared. The results indicated that the LightGBM model had comparatively good performance in simulating the HWF_EUR variation. The sea surface temperature made more contributions to the ML model simulation than the other climate factors. Further examination showed that the best ML simulation was that which used the climate factors in the preceding winter, suggesting that the lower-boundary conditions in the preceding winter may be critical in forecasting the summer HWF_EUR variation.摘要本文使用LightGBM机器学习模型模拟了欧洲东部夏季热浪频率的变化, 并分析了多个底边界层气候因子的贡献. 所选取的气候因子包括前期冬季, 前期春季以及同期夏季的下垫面海温, 土壤湿度, 积雪以及海冰. 分析结果说明LightGBM模型能够较好的模拟出欧洲东部夏季热浪频率的变化, 其中海温因子对模拟的贡献最大. 进一步的分析研究显示, 使用前期冬季的气候因子进行的模拟可以获得最佳模拟结果, 意味着前期冬季的下垫面气候因子可能对夏季欧洲东部热浪频率变化的预报能起到关键作用.     

南极中山站DPS-4电离层测高仪的中层夏季回波统计分析

The vertical temperature profiles of snow and sea ice have been measured in the Arctic during the 2nd Chinese National Arctic Research Expedition in 2003(CHINARE2003).The high-resolution temperature profile in snow is solved by one-dimensional heat transfer equation.The effective heat diffusivity,internal heat sources are identified.The internal heat source refers to the penetrated solar radiation which usually warms the lower part of the snow layer in summer.By temperature gradient analysis,the zero level can be clarified quantitatively as the boundary of the dry and wet snow.According to the in situ time series of vertical temperature profile,the time series of water content in snow is obtained based on an evaluation method of snow water content associated with the snow and ice physical parameters.The relationship of snow water content and snow temperature and temporal-spatial distribution of snow water content are presented     

Effectiveness of Teaching Pedagogical Content Knowledge Through Summer Geography Institutes

Abstract

Research presented in this paper addresses two fundamental questions: how effective have state geographic alliance summer geography institutes (ASGIs) been in changing the classroom teaching behaviors of participants, and to what extent do the institutes reflect characteristics of effective inservice training? Both questions are grounded in Shulman's concept of pedagogical content knowledge—the notion that effective teaching requires knowledge of how specific ideas and procedures in a particular content domain can best be taught. On-site evaluations and four follow-up evaluations provided data regarding the strengths and weaknesses of the institutes as well as evidence regarding the institutes' long-term effectiveness in promoting change in geography instruction. Results of the study indicate that ASGI graduates not only make substantive changes in how they teach geography, but also conduct high-quality inservices that lead to changes in the teaching practices of their colleagues.     

东亚夏季风系统与青藏高原冬季植被的关系

用1982年1月—2001年12月NDVI资料、台站日降水资料和NCEPⅠ/NCAR再分析资料,首先利用SVD方法分析了青藏高原冬季NDVI与我国降水的关系,指出青藏高原冬季NDVI与我国夏季降水相关系数从南到北呈"+-+-"相间分布,高原冬季NDVI增大(减小),随后夏季降水在华南和华北地区增加(减少),而长江流域和东北地区降水减少(增加)。然后通过合成法,分析了高原冬季NDVI大、小值年东亚夏季风系统的变化,得到在青藏高原冬季NDVI大值年时,夏季马斯克林高压偏弱,而澳大利亚高压偏强。赤道辐合带强度偏强,有利于越赤道气流的加强,使南海夏季风爆发偏早。同时南亚高压偏弱位置偏西,副热带高压位置偏东偏北。副热带西风急流的位置也偏西偏北。     

我国夏季暴雨气候学的研究进展与科学问题

我国夏季暴雨频发并导致洪涝灾害,严重影响着社会和经济的发展。基于对我国夏季降水和暴雨天气学的大量研究,从气候学的角度综述了我国夏季暴雨的研究进展,特别是关于我国暴雨的年际和年代际变化及趋势、与暴雨发生相关联的大尺度环流特征及年际和年代际变化成因以及全球气候变暖背景下今后我国夏季暴雨的演变趋势等方面的主要研究进展。此外,还指出了我国夏季暴雨气候学亟待进一步研究的若干科学问题。     

贵州山地高分辨旅游气象舒适度时空分布特征

采用空间曲面插值方法,对省内气象台站相关气象数据进行空间插值,得到高分辨的气候要素空间分布栅格数据。然后以贵州省旅游气象舒适度标准(DB52/T556-2009)作为区划标准,对上述栅格数据进行空间分析计算,得到贵州全省四个季节1.0×1.0Km的气象舒适度时空分布。分析表明:贵州省大部分地区的最大气象优势为夏季避暑旅游,此外,还具备了将适宜旅游季节向春季和秋季延伸的有利条件,使贵州的旅游气候资源得到科学准确的定位,为贵州进行"避暑旅游气候品牌"打造提供了科技支撑。     

印度洋海温异常年际变率模态对中国东部地区夏季降水影响机制的数值试验

利用ECHAM5全球大气环流模式研究了印度洋海温异常年际变率模态从冬至夏的演变对我国东部地区夏季降水影响的机制。观测资料研究表明:对于正的印度洋海温异常年际变率模态,春、夏季热带印度洋和澳大利亚以西洋面(东极子)均为水汽的异常源区,向马达加斯加以东南洋面(西极子)及印度洋邻近大陆提供水汽。夏季,印度洋地区南极涛动、马斯克林高压加强;而印度季风低压和南亚高压均减弱,对应于印度夏季风减弱。夏季印度洋地区正压性的纬向风异常经向遥相关使热带印度洋地区出现西风异常,导致海洋性大陆地区对流活动减弱,而菲律宾海地区对流活动加强,进而导致西太平洋副热带高压偏弱、位置偏东北。对于负的印度洋海温异常年际变率模态,则反之。模式结果基本支持了已有的观测资料诊断结果。