一次降雪过程的中尺度模式(MM5)站点预报试验

本文利用中尺度数值预报模式(MM5)进行业务预报试验。对2002年12月6日前后一次降水过程进行应用分析，重点对阳泉市站点预报进行对比检验，得出该模式在站点有无降雪、降雪量级及降雪起报、结束时间等方面具有重要参考价值的结论，对于进一步开发降水预报精细产品有重要意义。     

边界层特征量在河南省沙尘天气短期预报中的应用

介绍了利用边界层特征量——摩擦速度和梯度Richardson数制作河南省沙尘天气短期预报的方法.结果表明,该动力学方法更能够从本质上反映沙尘天气产生的机制,定性预报准确率为62.5%.     

小麦吸浆虫的发生规律及防治

小麦吸浆虫的发生和温、湿度条件关系密切.平舆县3月中、下旬和4月份的地温适宜成虫活动,4月份降水较多时,很适宜吸浆虫发生.防治措施以麦播期和蛹期防治为主,穗期成虫补治为辅,严把麦播期、孕穗期(蛹期)和抽穗期(成虫期)“三关“防治.     

崇左市预警信号发布现状及探讨

统计2008-2013年以来崇左市下辖江州区、扶绥县、天等县、大新县、宁明县、龙州县、凭祥市七县（市、区）,几种常用的气象灾害预警信号发布现状以及实际工作中遇到的问题展开谈论,探讨预警信号发布工作面临的新形势,并提出新形势下预警信号发布工作相应的对策和措施,从而更好的做好＂气象灾害预警信号＂的发布工作,减少气象灾害所带来的损失。     

中-β尺度对流云团造成特大暴雨过程的分析

通过对发生于长江中下游地区两个中－β尺度对流云团引起的特大暴雨过程的分析，探讨中－β尺度对流云团产生强降水的条件，研究其变化规律，从而为暴雨预报提供一定的物理依据。     

2009年7月初广西致洪暴雨过程综合分析

利用常规观测资料、自动站资料、卫星资料和NCEP再分析资料对2009年7月1～6日广西致洪暴雨过程进行分析,发现:850hPa西南急流为广西输送大量的水汽和不稳定能量,急流轴随时间逆转阻断水汽和不稳定能量北上,使之在广西积聚,500hPa低槽下高原后加深并出现闭合低涡,低涡附近强烈的上升运动,触发了暴雨的发生,同时地面闭合低压环流使低层辐合明显,闭合低压环流附近出现强降雨带。桂北静止锋云团、桂南辐合抬升不断加强生成对流云团,是造成了南北两条强雨带的重要原因。     

强降水天气过程“三个叫应”业务系统的研究与实现

为提高气象服务的及时性和针对性,提高工作效率和质量,兴仁市气象局研发了强降水天气过程“三个叫应”业务系统。该系统基于省级气象大数据平台进行开发,实现了降水量监测、告警、图形化显示、自动显示叫应对象信息、自动生成服务材料、记录值班日记、生成工作总结等功能。系统操作简单,运行稳定可靠,大幅提升了业务自动化程度和气象服务能力。     

Surface energy, water and carbon cycle in China simulated by the Australian community land surface model (CABLE)

Through an Australia-China climate change bilateral project, we analyzed results of 51-year global offline simulations over China using the Australian community atmosphere biosphere land exchange (CABLE) model, focusing on integrated studies of its surface energy, water and carbon cycle at seasonal, interannual and longer time-scales. In addition to the similar features in surface climatology between the CABLE simulation and those derived from the global land-surface data assimilation system, comparison of surface fluxes at a CEOP reference site in northeast China also suggested that the seasonal cycles of surface evaporation and CO₂ flux are reasonably simulated by the model. We further assessed temporal variations of model soil moisture with the observed variations at a number of locations in China. Observations show a soil moisture recharge–discharge mechanism on a seasonal time scale in central-east China, with soil moisture being recharged during its summer wet season, retained in its winter due to low evaporation demand, and depleted during early spring when the land warms up. Such a seasonal cycle is shown at both 50- and 100-cm soil depths in observations while the model only shows a similar feature in its lower soil layers with its upper layer soil moisture varying tightly with rainfall seasonal cycle. In the analysis of the model carbon cycle, the net primary productivity (NPP) has similar spatial patterns as the ones derived from an ecosystem model with remote sensing. The simulated interannual variations of NPP by CABLE are consistent with the results derived from remote sensing-based and process-based studies over the period of 1981–2000. Nevertheless an upward trend from observations is not presented in the model results. The model shows a downward trend primarily due to the constant CO₂ concentration used in the experiment and a large increase of autotrophic respiration caused by an upward trend in surface temperature forcing data. Furthermore, we have compared river discharge data from the model experiments with observations in the Yangtze and Yellow River basins in China. In the Yangtze River basin, while the observed interannual variability is reasonably captured, the model significantly underestimates its river discharge, which is consist with its overestimation of evaporation in the region. In the Yellow River basin, the magnitudes of the river discharge is similar between modeled and observed but its variations are less skillfully captured as seen in the Yangtze River region.