Uncertainty of global summer precipitation in the CMIP5 models: a comparison between high-resolution and low-resolution models

Worldwide, the majority of rapidly growing neighborhoods are found in the Global South. They often exhibit different building construction and development patterns than the Global North, and urban climate research in many such neighborhoods has to date been sparse. This study presents local-scale observations of net radiation (Q _* ) and sensible heat flux (Q _H ) from a lightweight low-rise neighborhood in the desert climate of Andacollo, Chile, and compares observations with results from a process-based urban energy-balance model (TUF3D) and a local-scale empirical model (LUMPS) for a 14-day period in autumn 2009. This is a unique neighborhood-climate combination in the urban energy-balance literature, and results show good agreement between observations and models for Q _* and Q _H . The unmeasured latent heat flux (Q _E ) is modeled with an updated version of TUF3D and two versions of LUMPS (a forward and inverse application). Both LUMPS implementations predict slightly higher Q _E than TUF3D, which may indicate a bias in LUMPS parameters towards mid-latitude, non-desert climates. Overall, the energy balance is dominated by sensible and storage heat fluxes with mean daytime Bowen ratios of 2.57 (observed Q _H /LUMPS Q _E )–3.46 (TUF3D). Storage heat flux (ΔQ _S ) is modeled with TUF3D, the empirical objective hysteresis model (OHM), and the inverse LUMPS implementation. Agreement between models is generally good; the OHM-predicted diurnal cycle deviates somewhat relative to the other two models, likely because OHM coefficients are not specified for the roof and wall construction materials found in this neighborhood. New facet-scale and local-scale OHM coefficients are developed based on modeled ΔQ _S and observed Q _* . Coefficients in the empirical models OHM and LUMPS are derived from observations in primarily non-desert climates in European/North American neighborhoods and must be updated as measurements in lightweight low-rise (and other) neighborhoods in various climates become available.     

相似-动力方法在动力延伸预报产品释用方法中的应用研究

在分析过去基于统计-动力月降水距平百分率预报方程基础上,建立了以500 hPa月平均高度场为核心的相似-动力月降水预报方程.以安徽省1998-2004年各月的降水为预报对象,发现该方法对安徽省月降水预报具有一定的预报能力.文中指出该方法对安徽省每年3月、11月月降水预报效果较好,6月、10月月降水预报效果较差;由于引起1999年气候异常的原因有其独特性,导致无法选择到足够合适的历史资料来反演方程的系数,这可能是1999年月降水预报结果相对较差的主要原因.     

Simulations of the East Asian subtropical westerly jet by LASG/IAP AGCMs

Performances of two LASG/IAP(State Key Laboratory of Numerical Modeling for Atmospheric Sci- ences and Geophysical Fluid Dynamics/Institute of Atmospheric Physics)Atmospheric General Circulation Models(AGCMs),namely GAMIL and SAMIL,in simulating the major characteristics of the East Asian subtropical westerly jet(EASWJ)in the upper troposphere are examined in this paper.The mean vertical and horizontal structures and the correspondence of the EASWJ location to the meridional temperature gradient in the upper troposphere are well simulated by two models.However,both models underestimate the EASWJ intensity in winter and summer,and are unable to simulate the bimodal distribution of the ma- jor EASWJ centers in mid-summer,relative to the observation,especially for the SAMIL model.The biases in the simulated EASWJ intensity are found to be associated with the biases of the meridional temperature gradients in the troposphere,and furthermore with the surface sensible heat flux and condensation latent heating.The models capture the major characteristics of the seasonal evolution of the diabatic heating rate averaged between 30°-45°N,and its association with the westerly jet.However,the simulated maximum diabatic heating rate in summer is located westward in comparison with the observed position,with a rela- tively strong diabatic heating intensity,especially in GAMIL.The biases in simulating the diabatic heating fields lead to the biases in simulating the temperature distribution in the upper troposphere,which may further affect the EASWJ simulations.Therefore,it is necessary to improve the simulation of the meridional temperature gradient as well as the diabatic heating field in the troposphere for the improvement of the EASWJ simulation by GAMIL and SAMIL models.     

物理过程参数化方案对中国夏季降水日变化模拟的影响

系统地分析了不同陆面过程、辐射传输以及积云对流参数化方案对区域气候模式模拟中国夏季降水日变化能力的影响,发现日内最大标准化降水及其出现时刻的模拟对不同模式物理过程的组合方案敏感。陆面过程、辐射传输参数化方案只影响降水强度的模拟,而对降水日变化形式和峰值出现时间模拟的影响较小,降水日变化形式的模拟对积云对流参数化方案敏感且与模拟区域的选择关系密切。Grell方案对青藏高原东部、长江中游地区夏季降水的日变化特征具有较好模拟能力,Kuo和Anthes-Kuo方案较好地模拟出了东北、华南地区夏季降水的日变化特征,BM方案仅能模拟华南地区夏季降水的日变化特征。4种积云对流参数化方案均不能模拟出江淮—华北地区夏季降水日变化的双峰值结构。     

冬季200 hPa西太平洋急流异常与海表加热和大气瞬变扰动的关系探讨

使用ERA40和NCEP/NCAR再分析资料探讨了冬季200 hPa东亚沿海到太平洋上空西风急流(WPJS)异常与北太平洋冬季海表加热和天气尺度瞬变扰动异常的关系.研究表明,东亚-北太平洋中纬度地区冬季海气系统与天气尺度瞬变扰动活动有十分密切的局地空间匹配型.通过进一步的诊断分析发现,与冬季200 hPa WPJS 3种不同的空间异常型相伴随的北太平洋海表加热异常型和天气尺度扰动异常型也截然不同:第1种空问异常型的西风异常主要发生于日界线以东的中东太平洋上空,而WPJS主体处却没有显著的异常发生,此时,在赤道中东太平洋和北太平洋海盆中部地区有异常的海表加热,西风异常区的瞬变扰动也发生异常变化;第2种空间异常型表现为WPJS主体区西风急流强度的变化,并与黑潮表面加热异常以及WPJS出口处的瞬变扰动活动异常有密切关系;第3种空间异常型显示出WPJS的南北移动,它与以35°N为界的西北太平洋南部和北部海区海表加热异常的正负对比有关系,与此同时,瞬变扰动活动也存在相应的南北移动.一个可能的联系是海表加热异常与大尺度平均气流异常密切关联,从而改变了中纬度大气斜压性,由此导致了瞬变扰动异常,后者通过大气内部动力过程对冬季WPJS异常起维持作用.     

地形非均匀性对网格区地面长波辐射通量计算的影响

从理论和数值试验两个方面证明地形的非均匀性(如海拔高度)对网格区地面长波辐射通量的计算有重要影响,海拔高度场的区域平均值及其变差系数是影响网格区地面长波辐射通量的主要因素,仅仅用地表均匀假定下的区域平均参量(如平均海拔高度和平均温度)所计算的网格区地表有效辐射通量值与其真实值之间存在着一定的误差。由于地表有效辐射通量是海拔高度的非线性函数,在特定情况下,其影响相当大,可产生不容忽略的误差。相对而言,海拔高度自身非均匀性对误差的影响远大于地表温度非均匀性项及其混合扰动项所产生的误差。对于不同的地形平均高度,地形非均匀性影响的程度并不相同。平均高度较小时,非均匀性的影响几乎可以忽略,但随着地形平均高度的增加,地形非均匀性的影响程度呈非线性增长趋势。因而,在复杂地形区域,考虑次网格地形的热力作用非常必要。     

冬,春季海温异常关键区对长江中下游夏季降水影响的敏感性试验

本文利用9层菱形截断15波的全球大气环流谱模式（L9R15）研究了前期冬季和春季海温异常的关键区对我国长江中下游地区夏季降水的影响,数值试验结果表明,冬季赤道东太平洋和黑潮区海温异常及春季印度洋和黑潮区海温异常使得长江中下游地区的夏季降水明显增多,同时500hPa副热带高压和100hPa南亚高压增强,但从范围和强度上来看,冬季赤道东太平洋和黑潮区海温异常时我国西南至长江中下游地区一带的夏季降水异常比春季印度洋和黑潮区海温异常时更明显,由此证实了观测资料的分析结果。     

Climatic features of the south-westerly low-level jet over southeast china and its association with precipitation over east China

The major features of the south-westerly low-level jet (LLJ) in the lower troposphere over Southeast China and its climatic impacts are investigated by using FNL reanalysis data and observational precipitation data. Results show that LLJ mainly occurs in spring and summer and the occurrence frequency of LLJ over southeast China has significant diurnal cycle, most LLJ occur in the nighttime (0200 LST and 0800 LST). The high nocturnal occurrence frequency of LLJ is mainly resulting from increased nocturnal ageostrophic wind. Research on the climatic impacts of large-scale conditions depicts that, the occurrence of LLJ in April mainly results from the northward shifting of western pacific subtropical high (WPSH), and the occurrence of LLJ in July results from the strengthening of detouring flow around Tibetan Plateau. Analysis of the climatic effects of LLJ on precipitation distribution in 3 rainy seasons over Southeast China indicates that the rainfall events with strong intensity correspond to strong LLJs. The LLJ affects the precipitation over Southeast China by transporting water vapor and triggering upward motion. Rainfall regions well corresponds to the regions of the moisture convergence and strong upward motion triggered by LLJ. Negative wind divergence anomalies at 850 hPa and positive wind divergence anomalies at 200 hPa over the Yangtze-Huaihe River Valley strengthen the upward motion over this region, which are conductive to produce more precipitation over the Yangtze-Huaihe River Valley.     

中国极端天气气候研究——“地球系统与全球变化”重点专项项目简介及最新进展

全球变暖背景下,极端天气气候事件频发,并表现出群发性、持续性、复合性等特点,不可预测性增加;持续性强降水、极端低温、复合型极端高温干旱、群发性热浪和台风等极端天气气候事件对我国经济社会和可持续发展影响巨大。然而,上述极端天气气候事件的新特征、关键过程和机理尚不完全清楚,重大极端事件的预报预测水平亟待提升。文章首先简要介绍“地球系统与全球变化”重点专项项目“中国极端天气气候事件的形成机理及其预测和归因”的基本情况。项目拟在分析全球变化背景下对我国造成重大影响的极端天气气候事件新特征的基础上,深入研究多尺度海-陆-气耦合过程影响极端天气气候事件的机理,挖掘极端天气气候事件次季节-季节预测的前兆信号;发展动力与物理统计相结合的极端事件预测新方法,研制针对中国极端事件的新一代高分辨率数值预报与检测归因系统。文章重点总结了自2022年12月项目立项至今取得的最新研究成果和进展。     

中南半岛地区热力特征对南海季风爆发的可能影响及机理

利用1998年5月1日－8月31日南海季风试验(SCSMX)产1980年1月－1995年12月NCEP／NCAR候平均再分析资料，分析1998年和多年平均情况下南海夏季风爆发期间中南半岛地区热力特征，揭示该地区热状况的异常与南海夏季风爆发之间的可能联系，从而讨论引起南海夏季风爆发的可能机制。结果发现，南海季风爆发前中南半岛附近地区存在较强的持续地面感知加热并具有显的低频振荡特征，低层大气在中南半岛地区出现较强的暖中心，由此导致局地强的水平温度梯度和位势高度梯度，有利于加强该地区的西南风。南海季风爆发前中南半岛地区低层出现较强的辐合风，高层出现较强的辐散风，这种低层强的辐合，高层强的辐射散配置有利于垂直运动的发展，降水的加强，进而触发南海季风的爆发。对多年平均资料的分析也证实了1998年南海季风爆发过程中所具有的特征，并进一步发现南海季风爆发前中南半岛地区850hPa温度是逐渐增加的，且增温幅度大于南海地区上空，由此加强了中南半岛与南海之间的温差。另外，比纬圈温度偏差和位势高度偏差的分析中发现，南海季风爆发期间南海和中南半岛地区的副高东撤与中南半岛地区的增温和孟加拉湾低槽的向东扩展有关。