Real-time Observation Monitoring and Analysis Network Haihe LIANG, etc. TECO-2008 • The quality guarantee of meteorological observation needs to establish effective management system. – – – – – – – equipment installation compatibility sitting and exposure performance.
Download ReportTranscript Real-time Observation Monitoring and Analysis Network Haihe LIANG, etc. TECO-2008 • The quality guarantee of meteorological observation needs to establish effective management system. – – – – – – – equipment installation compatibility sitting and exposure performance.
Real-time Observation Monitoring and Analysis Network Haihe LIANG, etc. TECO-2008 • The quality guarantee of meteorological observation needs to establish effective management system. – – – – – – – equipment installation compatibility sitting and exposure performance monitoring calibration maintenance, metadata real-time quality control In China, there is a great observation network used in weather and climate observation. •2456 national AWSs •158 Doppler weather radars •120 upper-air soundings •And others Real-time Observation Monitoring and Analysis Network • Meteorological Observation Centre, CMA established monitoring and analysis system, began to monitor the observation on real-time, and outputted the analysis products. – In 2006, the system has began to develop. In 2007, the version 1.o was finished. – It includes equipment performance monitoring, data quality monitoring and maintenance information management – It is for automatic weather station, upper air sounding system and Doppler weather radar. •The operational experiment was done in 2007 and 2008, and improved the operation quality and achieved good benefits. The system structure • The system structure has been designed as “2-level”, national and provincial system: – National system accepts data from provincial system. – The provincial system is responsible for collecting information. • 2-level system exchanges data based on requestservice or real-time. Software structure • C/S and B/S models are used – C/S is taken to data processing, and B/S is for users. – Data processing uses VC++ and ORACLE to establish C/S structure for data collecting, processing and evaluating. – User system adopts J2EE combined with WEBGIS and ORACLE. (1) Performance and parameter monitoring • Performance and parameter monitoring – parameter, alarm and failure data • It forms a closed cycle from information collecting, processing, data statistic and feedback. Status and parameter display Parameter checking Status in time series Failure parts analyzing • Radar status is displayed with weather forecast • Technician could pay more attention to severe weather areas • Before a typhoon arriving, the • It helps to check radar, a klystron was replaced in lower power is found at YANGJIAN radar, so the 2006 technician recover it in time. Data quality monitoring • Real-time data quality monitoring checks and analyzes: – – – – – File format Extremum Space-time consistency Environment changes supervision Reliability indexes • The data quality monitoring is used to – Guide the maintenance technicians to find failure in time – Offer evidences to hardware and software updating for decisionmakers. – Evaluate data quality. AWS data quality evaluation • The data has be displayed as 4 levels： – – – – 0：normal 1：usable 2：alarm 3：false • Based on statistic, it tell us the ground temperature has more problems 错误数量(次) 6000 4000 2000 平均(1681.8) 0 F02 R E TMAX D05 D15 D20 D40 D0MIN D80 D320 D160 D0MAX D0 TMIN D10 TD T UMIN U FMAX 要素名 Guiding to maintenance Discontinuous Invariable Data Conflicting Data Inconstant varying CINRAD Data Quality • Radar Data Quality Assistance Efforts – Hotline Technicians Monitor Continuously – Technical Assistance Group Monitors – Tools Used • Unedited National Mosaic • Radar Reflectivity Comparison • New algorithms will be developed for reducing technician watching, but there are difficulties in autocheck. Upper air sounding data check •Upper air WTH are compared with threshold, the abnormal data is recorded and putted into database, then statistics can be displayed. •Technician can pay more attention to the larger number. Observation information management • Instruments and parts have IDs number. • Observation information management includes – Log on duty – Repair record – Validity of calibration – Logistics – Station environment pictures and cameras Observation environment protection • Station environment pictures and cameras – 8-azimuth pictures – Updated in half-year. – Video is based on WEB users. • It is also used to observe weather phenomena. Evaluation indexes • There are 3 indexes : Reliability (R) = T1/T, Availability (A) = (T1＋T2)/T Failure (F)= (T3+T4)/T • T is for all time, T1 normal time, T2 usable time,T3 alarm T4 for failure. • The radar availability are 89.49%, 95.3%, 96.2% from June to August in 2006-2008 新一代天气雷达可用性 95.30% 100.00% 95.00% 96% 96.24% 89.49% 90.00% 85.00% 80.00% 2006年 • AWS alarms and error is going down 2007年 2008年 美国标准 数据质量错误和异常变化趋势图 20000 15000 10000 5000 0 去年910月 数量 17640 1月 2月 3月 4月 5月 6月 7月 8月 7103 3599 2206 2324 3620 4604 4822 2889 • It is being done: – GPS/MET, lightning, Profiler, etc, will be monitored. – QC algorithm will be developed further, for example, Radar QC, AWS QC,etc. – Trainning technician. • After testing the system will be used in most provinces 2009. • Based on the statistics some problems are found, so the software and hardware are being updated. THANKS