On matryoshkas and meaning-making: Understanding the plasticity of climate change

Climate change is a complex issue and means different things to different people. Numerous scholars in history, philosophy, and psychology have explored these multiple meanings, referred to as the plasticity of climate change. Building on psychological research that seeks to explain why meanings differ, I present an analytical framework that draws on adult developmental psychology to explore how meaning is constructed, and how it may become increasingly more complex across a lifespan in a nested manner, much like Russian dolls (or matryoshkas). I then use the framework to analyze photo voice data from a case study about local perspectives on climate change in El Salvador. The main finding from this analysis is that a developmental approach can help to make sense of why there is such plasticity of meanings about climate change. Using photos and their interpretations to illustrate these findings, I examine how perspective-taking capacities arrive at different meanings about climate change, based on the object of awareness, complexity of thought, and scope of time. I then discuss implications of this preliminary work on how developmental psychology could help climate change scholar-practitioners to understand and align with different climate change meanings and support local actors to translate their own meanings about climate change into locally-owned actions.     

汛期西南涡暴雨的数值模拟研究

利用西南区域数值预报模式系统SWCWARMS,结合全国汛期高空加密观测资料,对2013年6月29—30日的一次西南涡暴雨过程进行数值模拟和敏感性试验。结果表明,与控制试验相比,同化试验模拟的降雨与实况更为接近,并成功模拟出四川东部的强降雨中心,对于西南涡的模拟,同化试验西南涡出现时间更早,强度更强。并且,通过两组试验初值差异对比发现,同化试验初值在四川盆地对流层中低层表现出更强的低压,更强的涡度以及更强的旋转风扰动,四川盆地西部边坡也存在更强的上升气流,这都有利于西南涡的发生、发展。另外,同化汛期高空加密观测资料对强降雨中心单站的预报改进也较明显。因此,加强汛期加密气象观测,有利于揭示西南涡的发生、发展及其降雨天气影响,也有助于提升数值预报业务技术水平。     

2017年5月7日广州特大暴雨模拟中的背景场影响分析

2017年5月7日广州发生了特大暴雨,为研究不同背景场资料对这次暴雨过程的影响,模式背景场分别采用美国NCEP的GFS资料和中国的T639资料,利用GRAPES_Meso模式对这次暴雨过程进行了数值模拟和影响分析;数值试验结果表明,采用不同的背景场对这次暴雨过程具有显著影响,用T639资料(T639_run)作为模式背景场大致模拟出了这次暴雨过程,而采用NCEP GFS数据(GFS_run)模拟的降水明显偏北。其原因是,采用T639资料做背景场时,华南暴雨区域存在深厚的水汽输送,同时存在强烈的上升运动,可以产生极端强降水;而采用GFS资料进行数值模拟时,实际暴雨区上空的上升气流较弱,水汽输送也较弱,使强降水落区偏北。GRAPES_Meso模式模拟的华南地区的云顶高度整体偏高,云顶温度整体偏低,相对来说,采用T639_run的模拟结果优于GFSrun的结果,该研究结果可以为云降水方案中的水物质和云量计算方案的改进和优化提供一定的参考。     

影响山东切变线特征及典型个例分析

利用天气观测资料和NCEP再分析资料对2004-2013年5-9月影响山东的切变线天气特征和环流形势进行了分析。将影响山东的切变线按热力性质分为冷切变线和暖切变线,10a间影响山东的切变线共发生59次,其中暖切变线出现43次,占切变线总发生次数73%;冷切变线出现16次,占切变线总发生次数27%。切变线发生频数7月最多,6月次之,分别占切变线总数的35.6%和23.7%,9月最少,约占0.05%。影响山东典型切变线的发生与副高关系密切,冷切变线多出现在西风槽东移受阻,在对流层低层逐渐形成,暖切变线则出现在西风带小高压与副高合并,副高北抬时形成。针对2次典型冷暖切变线暴雨天气过程对比分析其暴雨落区、雷达回波特征和动力机制等,结果发现:暖切变线降水的强度、暴雨范围和持续时间明显大于冷切变线降水。暖切变线暴雨的GPS可降水量在强降雨出现前8h快速上升,可降水量峰值对应地面降雨大值,对地面降雨变化反映不敏感,物理量呈垂直分布,强回波单体基本位于暖切变线雨带的中间。冷切变线暴雨的GPS可降水量短时间内增幅大,地面强降雨在峰值出现1h后发生,对地面降雨变化反映较敏感,物理量从低层到高层向北倾斜且上升运动区较深厚,回波单体位于切变线南侧。     

登陆北上山东台风暴雨非对称分布的成因对比分析

应用常规气象观测资料、NCEP 1°×1°再分析资料,选取登陆北上山东地点相近但暴雨落区分别位于台风中心西北侧和东北侧的两个台风,分析暴雨落区相对台风中心非对称分布的成因。结果表明：台风进入中纬度以后,0421号台风“海马”位于高空深槽前,与西风槽相互作用,西风槽携带的冷空气从西北侧侵入台风环流,产生湿斜压锋区强迫抬升、冷暖空气交绥、水汽辐合等因素造成暴雨,暴雨趋于出现在台风中心的西北侧,为高比湿舌前方、较强水汽辐合区与相当位温密集区叠加的区域;而0509号台风“麦莎”与副热带高压相互作用,引起涡度及涡度平流的非对称改变,暴雨区与500 hPa正涡度区或正涡度平流相对应,暴雨趋于出现在台风中心的东北侧,为强正涡度平流区与水汽辐合叠加的区域。     

局地云量变化气候效应的数值模拟

本文用统计得到的东半球夏季平均云量资料，利用改进的云－辐射计算模式，在三维有限区域模式中模拟局地云量变化的气候效应。模拟结果表明，高原地区和热带辐合带云量变化造成的气候效应都主要表现在青藏高原地区。在低反照率时，高原地区云量减少使该地区地表加热，引起高低空气压系统加强；高反照率时结果相反。热带辐合带云量减少会引起青藏高原地区降温和气压系统减弱。     

华南春季强风暴背景流场的若干特征

本文利用常规探测资料,分析了1983年3月25日发生在珠江三角洲地区的一次强对流天气过程背景流场的几个重要特征,如高空急流的结构与变化、辐散风场及与之相联系的背景次级环流、风场垂直切变和水平切变等.     

雷州半岛局部地热异常及其形成机制

雷州半岛地热场主要受基底构造格局的控制和地下水活动的影响,隐伏花岗岩体放射性元素生热对盖层地温的贡献不可忽视,第四纪更新世火山喷发活动的岩浆余热已几乎完全散失,岩浆体和围岩温度已趋于平衡。由火山喷发而形成的雷北螺岗岭和雷南石峁岭两个玄武岩台地,为半岛地下水的主要补给区,由于冷水流下渗的地温效应,新生界盖层浅部地温梯度<3℃/100m,呈现地热负异常。在以传导传热为主的区域,地热场特点与华北盆地相似,新生界盖层地温梯度与基底岩面的埋深密切相关。由于地壳深部较均一的热流在地壳表部再分配的结果,若干凸起区盖层地温梯度为4—5℃/100m,呈现地热正异常。某些控制凸起区的边界断裂,当深层热水沿其上涌,造成附加热源,和传导传热相叠加,盖层地温梯度可高达5—8℃/100m,形成更鲜明的地热正异常。     

Inversion of arrival-times in a region of dilatancy anisotropy

Shear-wave splitting has been identified in many three-component seismograms from two separate field experiments on a section of the North Anatolian Fault in North-West Turkey. These observations are consistent with shear-wave propagation through a zone of extensive-dilitancy anisotropy. A preliminary attempt has been made to confirm this interpretation by simultaneously inverting suites of arrival-times for hypocentral locations and for parameters describing an anisotropic halfspace. Although the inversion procedure is not globally convergent, it is possible to recognize the true solution by systematically varying the initial conditions. Applied to selected data sets, the inversion defines several anisotropic models that fit the data significantly better than a simple isotropic model, and display the anisotropy required by the shear-wave splitting. However, most of these anisotropic models are not superior when they are used to individually locate events in a much larger data set. However, for each experiment, there is a single model that produces clearly superior locations for the larger data sets than those of other anisotropic or simple isotropic models. Both models display similar velocity variations which are characteristic of propagation through distributions of biplanar cracks displaying orthorhombic symmetry. The principal axes of the two models are oriented in similar directions and are within 20° of the principal axis of regional stress derived from fault-plane solutions. The solutions indicate low velocities close to the tensional axis, as would be expected in extensive-dilatancy anisotropy.