共查询到19条相似文献,搜索用时 78 毫秒
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区域自动气象观测站维护与管理 总被引:2,自引:0,他引:2
2006年以来安康市气象局建成由中国华云技术开发公司出产的CAWS600-R(T)型温度降水两要素自动气象站182个。经过2~3a的运行,大部分区域站都出现过问题,影响区域站的正常工作及监测资料的传输。本文根据本人及他人工作实践,对区域站在安装、运行过程中的常见简单问题及解决办法进行总结, 相似文献
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为了解决目前的计量检定标准设备和方法不适于地面气象观测站仪器,检测的自动化水平及工作效率低等矛盾,研究设计了地面气象观测站自动检测系统,特点是将地面气象观测站的温度、湿度、大气压力、风速风向和降水等传感器和地面气象观测站的数据采集器分开进行性能的自动检测.传感器自动检测系统采用多通道设计,可同时进行多个传感器的自动检测并自动输出检测结果.数据采集器自动检测系统可以对气象台站使用的各种不同的地面气象观测站数据采集器系统进行性能测试.文章所设计的地面气象观测站自动检测系统提高了地面自动观测仪器的检测效率,确保了各台站的地面气象自动观测仪器观测数据的准确可靠. 相似文献
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本文结合中国气象业务体制改革关于“三站四网”建设要求,初步分析了江西省气象局区域气象观测站系统建设现状、设计布局、数据应用软件开发、应用效益情况等情况,以及与地方(县级)区域、国家站网等业务协调与指导的关系等内容,同时对系统存在的问题进行了分析,并提出采取的措施及整改办法。 相似文献
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1 21时自动站正点资料不能自动上传的处理现象在地面气象测报业务系统软件升级为V3.0.9和V3.0.10后,发现网络显示正常,主辅通道指示灯为绿色,21时自动站正点资料却不能自动上传,可手工上传,或重新启动电脑后,只要传输时间在本站参数设置范围内,能自动上传,但22时及其后时次有时 相似文献
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J.M. Pathan 《大气科学进展》1994,11(1):111-120
DiurnalVariationofSouthwestMonsoonRainfallatIndianStationsJ.M.Pathan(IndianInstituteofTropicalMeteorology,Pashan,Pune-411008,... 相似文献
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C. P. Jacovides C. Theophilou F. S. Tymvios S. Pashiardes 《Theoretical and Applied Climatology》2002,72(3-4):259-263
Summary ?A statistical analysis of wind speed and direction data for five selected meteorological stations at the Cyprus coast, is
carried out in this study. Daily, monthly and annual variations of wind speed are established. The Weibull distribution statistics
of the sites are also determined. In addition, an attempt is made to find the sea-breeze circulation effects in the same wind
data. The wind statistics obtained are expected to serve as a validation test for wind energy applications, mainly along the
southeastern coastline.
Received April 5, 2001; revised February 13, 2002; accepted March 3, 2002 相似文献
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基于2012—2019年兰州地区146个区域自动气象站小时降水数据,从不同时间尺度分析兰州地区近8 a降水精细化特征。结论如下:(1)2012—2019年,兰州地区年均降水量总体呈"北少南多、外多内少"的空间分布特征;年降水量具有明显的年际变化,2018年降水异常偏多46%,而2015、2017年降水异常偏少,尤其2015年偏少30%。(2)兰州地区降水主要集中在7—8月,受环流形势影响,7—8月南部降水明显多于北部,其余月份南北降水差异不明显。(3)兰州地区降水量和降水范围分别表现为"朝少夕多"、"夜大日小"的日变化特征;受海拔高度影响,城区降水量总体比山区小,且因热岛效应,城区降水主要集中在午后至傍晚前后,多为对流性降水,而山区降水日分布较为均匀,整体日波动较小。(4)安宁区短时强降水发生频次最高,但短时强降水频发的站点出现在皋兰县六合站和永登县徐家磨村站,永登县是兰州地区短时强降水预报需重点关注的地区。 相似文献
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基于2012—2019年兰州地区146个区域自动气象站小时降水数据,从不同时间尺度分析兰州地区近8 a降水精细化特征。结论如下:(1)2012—2019年,兰州地区年均降水量总体呈"北少南多、外多内少"的空间分布特征;年降水量具有明显的年际变化,2018年降水异常偏多46%,而2015、2017年降水异常偏少,尤其2015年偏少30%。(2)兰州地区降水主要集中在7—8月,受环流形势影响,7—8月南部降水明显多于北部,其余月份南北降水差异不明显。(3)兰州地区降水量和降水范围分别表现为"朝少夕多"、"夜大日小"的日变化特征;受海拔高度影响,城区降水量总体比山区小,且因热岛效应,城区降水主要集中在午后至傍晚前后,多为对流性降水,而山区降水日分布较为均匀,整体日波动较小。(4)安宁区短时强降水发生频次最高,但短时强降水频发的站点出现在皋兰县六合站和永登县徐家磨村站,永登县是兰州地区短时强降水预报需重点关注的地区。 相似文献
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In this study, efforts are made to improve the simulation of heavy rainfall events over National Capital Region (NCR) Delhi during 2010 summer monsoon, using additional observations from automatic weather stations (AWS). Two case studies have been carried out to simulate the relative humidity, wind speed and precipitation over NCR Delhi in 48-h model integrations; one from 00UTC, August 20, 2010, and the other from 00UTC, September 12, 2010. Several AWS installed over NCR Delhi in the recent past provide valuable surface observations, which are assimilated into state-of-the-art weather research and forecasting (WRF) model using the three-dimensional variational data assimilation (3DVAR). The quality of background error statistics (BES) is a key component in successful 3DVAR data assimilation in a mesoscale model. In this study, the domain-dependent regional background error statistics (RBS) are estimated using National Meteorological Center method in the months of August and September 2010 and then compared with the global background error statistics (GBS) in the WRF model. The model simulations are analyzed and validated against AWS and radiosonde observations to quantify the impact of RBS. The root mean square differences in the spatial distributions of precipitation, relative humidity and wind speed at the surface showed significant differences between both the global and regional BES. Similar differences are also observed in the vertical distributions along the latitudinal cross section at 28.5°N. Model-simulated fields are analyzed at five different surface stations and one upper air station located in NCR Delhi. It is found that in 24-h model simulation, the RBS significantly improves the model simulations in case of precipitation, relative humidity and wind speed as compared to GBS. 相似文献