Real-time%20Observation%20Monitoring%20and%20Analysis%20Network

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Real-time Observation Monitoring and Analysis
Network

• Haihe LIANG, etc.
• TECO-2008

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• 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

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• 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

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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.

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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.

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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.

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(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.

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Status and parameter display
Parameter checking
Failure parts analyzing
Status in time series
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• Radar status is displayed with weather forecast
• Technician could pay more attention to severe
  weather areas

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• It helps to check radar, a klystron was replaced
  in 2006

• Before a typhoon arriving, the lower power is
  found at YANGJIAN radar, so the technician
  recover it in time.

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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.

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AWS data quality evaluation

• The data has be displayed as 4 levels
• 0normal
• 1usable
• 2alarm
• 3false
• Based on statistic, it tell us the ground
  temperature has more problems

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Guiding to maintenance
Discontinuous
Conflicting Data
Invariable Data
Inconstant varying
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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.

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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.

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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

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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.

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Evaluation indexes

• There are 3 indexes
• Reliability (R) T1/T,
• Availability (A) (T1T2)/T
• Failure (F) (T3T4)/T
• T is for all time, T1 normal time, T2 usable
  time,T3 alarm T4 for failure.

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• The radar availability are 89.49, 95.3, 96.2
  from June to August in 2006-2008
• AWS alarms and error is going down

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• 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.

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THANKS