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 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 request- service 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 Failure parts analyzingStatus in time series

Radar status is displayed with weather forecast Technician could pay more attention to severe weather areas

Before a typhoon arriving, the lower power is found at YANGJIAN radar, so the technician recover it in time. It helps to check radar, a klystron was replaced in 2006

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 decision- makers. –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

Guiding to maintenance Discontinuous Conflicting Data Invariable DataInconstant 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 auto- 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. Upper air sounding data check

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 AWS alarms and error is going down

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 Based on the statistics some problems are found, so the software and hardware are being updated.

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