A maximum entropy method for combining AOGCMs for regional intra-year climate change assessment

This paper deals with different responses from various Atmosphere-Ocean Global Climate Models (AOGCMs) at the regional scale. What can be the best use of AOGCMs for assessing the climate change in a particular region? The question is complicated by the consideration of intra-year month-to-month variability of a particular climate variable such as precipitation or temperature in a specific region. A maximum entropy method (MEM), which combines limited information with empirical perspectives, is applied to assessing the probability-weighted multimodel ensemble average of a climate variable at the region scale. The method is compared to and coupled with other two methods: the root mean square error minimization method and the simple multimodel ensemble average method. A mechanism is developed to handle a comprehensive range of model uncertainties and to identify the best combination of AOGCMs based on a balance of two rules: depending equally on all models versus giving higher priority to models more strongly verified by the historical observation. As a case study, the method is applied to a central US region to compute the probability-based average changes in monthly precipitation and temperature projected for 2055, based on outputs from a set of AOGCMs. Using the AOGCM data prepared by international climate change study groups and local climate observation data, one can apply the MEM to precipitation or temperature for a particular region to generate an annual cycle, which includes the effects from both global climate change and local intra-year climate variability.     

Dynamical greenhouse-plus feedback and polar warming amplification. Part II: meridional and vertical asymmetries of the global warming

This paper examines several prominent thermodynamic and dynamic factors responsible for the meridional and vertical warming asymmetries using a moist coupled atmosphere–surface radiative transportive four-box climate model. A coupled atmosphere–surface feedback analysis is formulated to isolate the direct response to an anthropogenic greenhouse gas forcing from individual local feedbacks (water vapor, evaporation, surface sensible heat flux, and ice-albedo), and from the non-local dynamical feedback. Both the direct response and response to water vapor feedback are stronger in low latitudes. The joint effect of the ice-albedo and dynamical greenhouse-plus feedbacks acts to amplify the high latitude surface warming whereas both the evaporation and dynamical greenhouse-minus feedbacks cause a reduction of the surface warming in low latitudes. The enhancement (reduction) of local feedbacks in high (low) latitudes in response to the non-local dynamic feedback further strengthens the polar amplification of the surface warming. Both the direct response and response to water vapor feedback lead to an increase of lapse rate in both low and high latitudes. The stronger total dynamic heating in the mean state in high latitudes is responsible for a larger increase of lapse rate in high latitudes in the direct response and response to water vapor feedback. The local evaporation and surface sensible heat flux feedbacks reduce the lapse rate both in low and high latitudes through cooling the surface and warming the atmosphere. The much stronger evaporation feedback leads to a final warming in low latitudes that is stronger in the atmosphere than the surface.     

城市气候承载力定量化评价方法初探

本文从气候天然容量、城市气候压力和城市协调发展能力3个方面选取24个指标构建较完整的城市气候承载力评价指标体系。气候天然容量指数采用内梅罗指数法计算,城市气候压力指数和城市协调发展能力指数采用基于熵权的综合评价方法计算,进而构建城市气候承载力综合评价函数以量化评价结果。以上海市为例,对其气候承载力进行定量化评价。研究表明,本文建立的气候承载力评价指标体系是可行的,它可以描述某一城市时域上的变化,也可以对区域气候承载力开发利用过程中存在的问题进行甄别,并可作为气候预警响应的依据,为我国建立区域气候安全管理机制提供技术参考。分析上海市2004-2013年这10年间气候承载力的变化趋势,结果表明研究期内上海市气候承载力整体劣于基准年值,且因深受气候天然容量的影响而处于较大波动状态。     

CINRAD/SA天气雷达RDA适配参数的组成与应用

通过例证的方法,系统介绍了CINRAD/SA天气雷达RDA适配参数的组成、特点和作用,以及适配参数在雷达维护、标定中的重要应用,以便雷达保障人员在CINRAD/SA天气雷达的运行维护工作中能很好使用适配参数。CINRAD/SA天气雷达保障工作的实际经验表明,RDA适配参数在CINRAD/SA天气雷达的智能管理、运行控制、运行维护、系统标定、故障报警、信号处理和数据生成等方面具有重要作用,系统了解和充分运用RDA适配参数对保障CINRAD/SA天气雷达系统的高效、可靠运行具有十分重要的现实意义。     

GRAPES_TYM模式对TC路径及环境引导气流预报检验分析

对2012—2013年GRAPES_TYM模式热带气旋路径预报结果进行检验,结果表明:模式对所有类型路径预报在24h、48h和72h预报时效的平均距离误差分别为94.3km,143.7km和260.8km,并且存在偏北的系统性偏差;对于南海TC,模式对TC移向预报较实况偏右,移速误差较小,移向偏差是路径偏差的主要原因;另外统计得到模式对TC移向的预报偏差与对其环境引导气流预报偏差有密切的关系,以1213号台风"启德"为例进一步通过移向误差诊断方程探讨了环境引导气流预报偏差(包括环境风场预报偏差、环境引导气流半径偏差及环境引导气流厚度偏差)对TC移向偏差的影响,而环境引导气流预报误差来源与模式对大尺度天气系统、TC大小及强度的预报偏差有关。     

机载三线阵CCD影像自检校光束法区域网平差

将基于附加参数的自检校光束法区域网平差技术应用于机载三线阵CCD传感器ADS40影像的几何定位处理,分析了机载三线阵CCD传感器成像的误差特性,建立了相适有效的自检校附加参数模型,以及3种形式的外方位元素变化模型和自检校光束法区域网平差模型。实验结果表明,自检校光束法区域网平差能够有效补偿ADS40影像存在的系统误差,显著提高定位精度。     

德国土地信息化发展现状研究

从官方地籍信息系统的发展、与AAA模型的关系及官方地籍信息系统的应用等方面对德国土地信息化的发展现状做了介绍,对其发展趋势做了分析;在此基础上,从地籍数据的应用、与基础测绘的关系和信息系统建模等方面对我国的国土资源信息化工作提出了若干建议。     

一种卫星和雷达资料结合的强降水临近预报方法

在短期和短时天气预报的基础上，通过对气象卫星红外数字资料的定量处理和统计分析，作出降水云系的实时降雨量估计，并根据降水云系生命史的演变和移动、传播等特征，结合天气系统分型和雷达回波资料，提出一种北京密云水库上游潮河，白河流域区域性０－３小时强降水临近预报方法。     

资料插值的进展

对气候学中资料插值、数值天气预报中的客观分析和气候模拟中的降尺度技术作了统一论述，重点是气候资料插值的原理和进展。由于应用领域不同，这些技术也是很不相同的，但它们的动力学和统计学原理是相近或一致的。近十年来三种插值技术，尤其在建立计算机自动化插值系统方面，都取得了长足进展。     

福鼎市冬季坡地低温考察和龙眼、荔枝园地选择

据福鼎市2003／2004年度冬季低温考察资料分析,对于一百多米的小山坡,在相对高差约2／3附近的山坡中上部,晴天其最低气温常出现最高,逆温效应最明显,该地段种植龙眼、荔枝可减轻或避免低温造成的冻害。