利用雷达资料反演方法对北京地区一次强对流天气过程的分析

利用多普勒雷达变分分析系统(VDRAS),对2006年8月1日傍晚北京城区出现的一次强对流天气过程(伴有冰雹、大风及强降水)的三维风场、温度场进行了初步分析.结果表明:(1)初始对流生成于北京西北部山区的河北省境内,系统过山移进北京城区时,受局地的动力及热力条件作用,迅速组织并强烈发展,形成带状的MCS即飑线;(2)在飑线生成之前,北京城区及东南部边界层低层存在较强的东风气流,并迅速扩展向西北方向延伸,与过山的西北偏北气流形成强的边界层辐合线.该近地面辐合线是飑线生成的主要触发机制,而边界层低层东风的加强和减弱以及北进和南退对辐合线的维持、飑线的生成、发展和减弱都起着重要的作用;(3)在边界层辐合线的作用下,不断有新生对流系统发展;(4)对流系统在整个发展过程中呈明显的带状分布特征,是一次典型的飑线过程,并伴有明显的阵风锋.     

“00.7”北京特大暴雨模拟中气象资料同化作用的评估

针对2000年7月4～5日北京地区的一次特大暴雨过程(24 h降水量达240 mm),文中利用MM5/WRF三维变分系统和MM5非静力模式,对此次特大暴雨过程中的各种气象监测资料(地基GPS大气柱水汽含量、常规探空、高空测风、地面常规观测和地面自动气象站)的同化作用通过观测系统数值试验进行了评估.结果表明与传统的客观分析方案相比较,MM5/WRF三维变分同化系统可直接引入非常规地基GPS大气柱水汽含量监测资料,提供更好的大气初始分析场.在三维变分同化方案下,各种大气监测资料均对改进此次特大暴雨模拟有不同程度的贡献,其中,常规探空和高空测风监测资料对改进预报结果的影响最大,地面常规观测和地面自动气象站观测资料作用次之,地基GPS大气柱水汽含量资料在与其他大气监测资料相互优势互补后,可很好地改善模式大气的分析质量,通过三维变分同化技术在区域数值天气预报模式初始场中引入地基GPS大气水汽监测网资料,使此次强降水个例的6 h和24 h测站降水预报的TS评分值在1,5,10和20 mm预报检验阈值下分别提高了1%～8%.研究结果对利用三维变分数值系统,评估气象监测网资料在改进高影响天气事件预报中的作用有借鉴意义.     

Past,present and future climatic forcing due to greenhouse gases

An advanced one-dimensional radiative-convective model (RCM) is used to estimate the past, present and fu-ture climatic forcings induced by greenhouse gases of anthropogenic origin, such as CO2, CH4, N2O and CFCs, in this paper. The results show that the decadal climatic forcing for the last decade is one-order bigger than that prior to the year 1900, and in the case of no control on the emission of the greenhouse gases the climatic forcing for the year 2100 will be almost 4 times as much as now.     

雷达在水文预报应用中的研究进展

雷达可随时跟踪雨区范围、暴雨走向和降雨量的变化,而降雨是水文预报最重要的输入信息,对于水文预报、水库蓄放及江河流域水量的短时洪水预报都是很重要的。本文在介绍雷达测雨及国内外雷达测雨业务系统的基础上,重点总结了国内雷达测雨在水文预报中的研究进展,并提出了雷达在水文预报中的应用思路,探讨了雷达测雨在我国水文应用中的前景及其发展方向。数字化雷达测雨、地理信息系统以及数字高程图等系列新信息,将进一步推动新一代分布式降雨—径流模型的开发,并将极大地拓宽水文预报研究的思路和方法,从而提高预报精度。     

Land surface temperature shaped by urban fractions in megacity region

The influence of spatial scales on surface fluxes is an interesting but not fully investigated question. This paper presents an analysis on the influence of spatial scales on surface fluxes in the north Tibetan Plateau based on eddy covariance (EC) and large aperture scintillometer (LAS) data at site Nagqu/BJ, combined with the land surface temperature (LST) and normalized difference vegetation index (NDVI) of moderate-resolution imaging spectroradiometer (MODIS). The analysis shows that sensible heat fluxes calculated with LAS data (H_LAS) agree reasonably well with sensible heat fluxes calculated with EC data (H_EC) in the rain and dry seasons. The difference in their footprints due to the wind direction is an important reason for the differences in H_EC and H_LAS. The H_LAS are statistically more consistent with H_EC when their footprints overlap than when their footprints do not. A detailed analysis on H_EC and H_LAS changes with net radiation and wind direction in rain and dry season indicates that the spatial heterogeneity in net radiation created by clouds contributes greatly to the differences in H_EC and H_LAS in short-term variations. A significant relationship between the difference in footprint-weighted averages of LST and difference in H_EC and H_LAS suggests that the spatial heterogeneity in LST at two spatial scales is a reason for the differences in H_EC and H_LAS and that LST has a positive correlation with the differences in H_EC and H_LAS. A significant relationship between the footprint-weighted averages of NDVI and the ratio of sensible heat fluxes at two spatial scales to net radiation (H/Rn) in the rain season supports the analysis that the spatial heterogeneity in canopy at two spatial scales is another reason for differences in H_EC and H_LAS and that canopy has a negative correlation with (H/Rn). An analysis on the influence of the difference in aerodynamic roughness lengths at two spatial scales on sensible heat fluxes shows that the influence is greater in the dry season and smaller in the rain season because the ratio of z_{0m_LAS} to z_{0m_EC} is big in the dry season and is close to 1.0 in the rain season. This study on spatial scales on surface fluxes in the Tibetan Plateau will be helpful in analyzing and understanding its influence on climate.     

2012年欧亚寒冷天气过程与北极涛动异常活动的联系

利用NCEP/NCAR再分析资料和CPC逐日北极涛动(AO)指数资料,结合近30年欧亚地区地面气温年际异常变化的可能机理,分析了AO异常波动对2012年欧亚地区严寒天气过程的影响。结果表明,AO发生负异常波动对2012年1—2月欧亚地区异常寒冷天气起到至关重要的作用。AO在12月为正异常波动,次年1—2月则呈现负异常波动,其中1月中下旬至2月中旬的负异常波动过程比较显著。在AO负异常影响下,极涡面积增大,冷空气活动加强,中纬度纬向环流减弱而经向环流增强,造成冷、暖空气交换加剧,极地冷空气南下入侵到中纬度地区,从而导致欧亚大陆异常寒冷天气;同时,由北大西洋及地中海北上的暖湿气流,在遭遇冷空气阻碍后给西欧和南欧一些地区带来了大面积的雨雪天气。     

The Representativeness of Air Quality Monitoring Sites in the Urban Areas of a Mountainous City

Lanzhou is a typical mountainous city with severe air pollution in northwestern China. This study uses hourly observational data of air pollutants at five air quality monitoring sites in Lanzhou from July to December 2015 to discuss data quality control and the representativeness of the monitoring sites(four urban sites and one suburban site). A fuzzy matrix is applied to study primary air pollutants. The results show that of the six routinely monitored pollutants,the primary pollutant is PM_10 during the study period. Based on lag correlation analysis and one-way analysis of variance, it is concluded that there are redundant observations at the four urban sites for the timely diffusion and transport of air pollutants from the same general area. The coefficient of divergence(COD) method is then used to evaluate the spatial distribution differences, and the primary air pollutant PM_10 shows differences at each site. COD can be used as a positive indicator to describe site representativeness. To evaluate the overall air pollution in the valley, correlation analysis is performed between the PM_10 concentration retrieved from aerosol optical depth satellite data and the concentration from the four urban monitoring sites. Among these, the correlation between the workers' hospital site data and the retrieval data is the highest, passing the 90% confidence level. A new representative evaluation model for air quality monitoring sites, R_s = 0.77 COD + 0.23R_(retrieval), is established by using COD and correlation coefficients between routine observations and satellite retrieval products. From this model, it can be concluded that the biological products institute site in Lanzhou is the most representative site for the evaluation of air pollution out of the four urban air quality monitoring sites from July to December 2015.     

一个缓慢移动的中尺度对流复合体内层状降水区的微结构分析

本文对一个中纬中尺度对流复合体层状降水区的微物理结构,结合雷达、卫星和其他飞机观测资料进行了分析.结果表明,MCC层状区内某些部位盛行冰晶聚合体,它们分布在相当厚的过冷气层内(0.5—-14℃或更冷).冰晶聚并过程足层状区内降水质点增长的主要机制.它起源于较高较冷的气层,在冰晶聚合体下降途中聚并效率渐趋增强,在0℃层附近形成一大的冰晶聚合带. 层状区中云滴液态含水量一般低于0.3g·m~(-3).0℃层以下降水质点数浓度较低,平均为0.8L~(-1)(2D-P资料)和2.3L~(-1)(2D-C资料),相应的平均体积中值直径分别为1.0和0.6mm.在0—-10c气层内,冰质点平均数浓度为27L~(-1)(2D-P资料)和133L~(-1)(2D-C),远人于0℃层以下的雨滴数浓度,相应的平均体积中值直径为0.8和0.4mm.冰质点数浓度随高度向上增加,在飞机垂直探测的顶部(6600m高度)观测到最大数浓度52L~(-1)(2D-P资料)和289L~(-1)(2D-C资料).冰质点大小则相反,是随高度下降而增大的.在0℃层附近冰晶聚合体较大较多,冰质点中15％以上是聚合体,2D-P探头观测的冰质点平均体积中值直径达1.8mm. 滴谱分析表明,负指数律分布能较好地拟合所有观测的降水质点大小谱分布.对水滴,斜率参数λ平均为17(±3.6)cm~(-1),相对变差不超过20％,在云模式研究中可以近似地假定λ是常数.然而,对冰质点样本,λ值可相差3倍以上,小能当作常数处理.至于截距参数N_0,不论是水滴还是冰晶样本,都是变量,其值可有2—3个数量级之差.但是,N_0与λ之间数值上相关很好,据此可以将降水质点谱简化为单参数分布.     

豫西突发性暴雨成因

利用常规观测、FY-2C气象卫星资料及NCEP/NCAR再分析资料,对2007年7月28～30日豫西卢氏县引发历史罕见山洪暴雨的进行了天气动力学和中尺度分析。结果表明:西太平洋副热带高压增强与贝加尔湖高压叠加形成阻塞形势,其西侧低空急流携带大量水汽与较强的锋生场交汇在豫西,导致了这次极端暴雨事件的发生;大尺度强斜升运动区中,低层存在一个条件性对称不稳定机制,引发中β云团生成、合并、发展,从而造成暴雨。     

备用分钟数据读取程序浅析

从逐分钟地面数据文件中读取正点前10分钟内任一分钟的分钟数据进行备用,以备在临近正点时自动气象站计算机系统出现故障的情况下作为电话口传报文之用,保证正点数据的及时有效传输,避免逾限报的发生。