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INTEGRATED REAL-TIME PERFORMANCE MONITORING OF OBSERVING NETWORKS. Chong Pei Senior Engineer, Meteorological Observation Centre, CMA Tel : +86-10-68407916 Cell: +86-10-13501132789 E-mail: Bess-2160@263.net. Content. CMA Integrated Observing System Introduction ASOM Introduction
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INTEGRATED REAL-TIME PERFORMANCE MONITORING OF OBSERVING NETWORKS Chong Pei Senior Engineer, Meteorological Observation Centre, CMA Tel:+86-10-68407916 Cell: +86-10-13501132789 E-mail: Bess-2160@263.net
Content • CMA Integrated Observing System Introduction • ASOM Introduction • ASOM Architecture & Features • ASOM Benefits
CMA Integrated Observing System • 156 new generation Doppler radars( on operational) • 120 upper-air sounding stations (L-band radar) • 2456 national Automated weather Stations(AWSs) • 30000 mesoscale AWSs • 400 wind power resource observing stations • 14 wind profilers • 410 GPS/MET sensing stations • 337 lightning detection stations • 30 atmospheric composition observation stations • 317 acid rain observation stations • 640 agriculture observation stations CMA establishes an integrated Atmospheric observation network ,space-base, airborne-base and ground-base observing
CMA new efforts on observing network improvement • Can we see the observation instruments and data from another perspective?
A New Generation Doppler Network How do we know the whole network is working in consensus in near real-time? Performance parameters? Operational Status? Any alarm occurring? Data quality? parts usage and associated cost, funding needs? Instruments Life cycle ? Site environment changing? Who we service? >>>>>>
A New Generation Doppler Network We want identify data problems automatically Are you sure your radar working well?
Content • CMA Integrated Observing System Introduction • ASOM Introduction • ASOM Architecture & Features • ASOM Benefits
What is the ASOM system? Uniform Stable Extendable Easy to maintain Integrated Easy to operate Atmospheric Observing System Operations Monitoring and Maintenance (ASOM) system
ASOM Introduction 1、One central database and four levels of applications 2、Extensible Architecture 3、High-integrate
用户 每天约20万个文件 设备的探测数据 分发 推送 解析处理 Data Flow 新一代 天气雷达 自动 气象站 探空 系统 图例 请求 约3000用户 响应 用户计算机 DMZ 负载均衡设备 省信息中心 服务器 WEB服务器集群 每天约35G 探测数据 GIS 服务器 集成 服务器 应用服务器集群 国家信息中心 服务器 监控数据接收和 打包服务器 数据库 服务器集群 磁盘阵列 目前系统的日常压力不超过30%,模拟500并发的峰值压力不超过70%
1. Operational Monitoring subsystem • Systems Statusand Performance monitoring • System Alarms
Product Monitoring and Data QC • Products Monitoring • Product quality control COMPARISON
Severe Weather Monitoring Wrong Data • Pay much more attention on sever Weathers • Check out what is going on the equipment on site • Try tracking Extreme Values • Information Release can offer the most valuable data to different level positions Extreme Precipitation Values
AWS Observation Data QC Radar、Satellite and AWS Precipitation comparison Examples
2、Maintenance subsystem Maintenance :Preventative Corrective Online Technical Support Routinely Effectively MTBF MTTR Ao Furthermore : Maintenance Knowledge repository
Preventive Maintenance Record Essential Information Check Item
Corrective Maintenance Record Fault Essential Information Fault Inform Maintenance Activities Renewal Parts Record
3、Logistics System • Logistics management includes 4-level which achieves site , urban area, provincial and national logistic information management. • Assets inventory management • Repaired parts management • Spare parts life tracking management For example:Klystron life tracking • Logistics Quality Control
4、Site Database subsystem The basis of the other subsystems Based upon Sites’ ID information, equipment information and contact information, it can offer Radar Coverage, AWS average deployment density, tracking support ability , etc. Sites’ Database Management provides a scientific Baseline for the network layout and construction.
Sites locations and adjacent ranges and density • L Band Radar average separation ranges • CINRAD Average ranges
AWS (ASOS) Average Ranges Evaluation • Average Range:51.6 km(2128 sites)National-Level • Average Range: 15.6 km (21000 Provincial AWS) • >51.6 km 613 locations,most are located at west and northeast China (about 45%)
CINRAD coverage demonstration 利用30秒(分辨率约9千米)地形资料计算的建阳雷达覆盖范围
CINRAD Operational Evaluation • Availability, Maintainability and Reliability • Sites Skills • Cost
AWS Operational Ability Evaluation • Fault number decreasing • Data quality improved • Availability and Reliability improving
6.Video Monitor • Sites Observing Equipments status • Sites Environment Changing • Real-time Weather within the Camera View
Sample: The real time video of several fields. (Long-distance integration) Purpose • Observation Data quality • Environmental Changing • Equipment safety • Weather Phenomena • Tech-support by video
7、Information Release • Web • Text Messaging • Platform • Hard Copies • Video
Content • CMA Integrated Observing System Introduction • ASOM Introduction • ASOM Architecture & Features • ASOM Benefits
User(station、province& nation ) station province nation ASOM站级应用 ASOM省级应用 ASOM GIS M O C ASOM DW 数据仓库 ASOM DB GIS DB Survey data Artificial declared data Data processing N I M C data data data Communication support ASOM Structure (Current Version)
User(station&province) User(nation) station province nation Web Service ASOM站级应用 ASOM ASOM GIS GIS MOC Information exchange GIS DB DB GIS DB DB Survey data Data processing Data processing N IMC data data data Communication support ASOM Structure (future version)
Content • CMA Integrated Observing System Introduction • ASOM Introduction • ASOM Architecture & Features • ASOM Benefits
ASOM Benefits 1、Provide the integrated evaluation results and service for various CMA users with differing operational and research requirements
ASOM Benefits 2、Improvements to Radar and AWS Availabilities
ASOM Benefits 3、Monitoring Extreme Weather
ASOM Benefits 4、Comparison of the Severe Precipitation Weather Region through ASOM
Conclusion: ASOM does____ Enhances Data Quality Improves equipment/instrument/sensor performance Saves funding Decreases workload and reduces staff resources requirement knowledge repository and “lessons-learned” experiences Identifies new requirements Management enhancement Help forecasters to identify data issues to correct now castings in near real-time
ASOM Project is on going Data QC Algorithms Development is a eternal topic More Products to serve the public More data comparison to support research The evaluation results make modifications on instruments upgrade and algorithms refining
Recommendations to WMO Monitoring parameters should be put into the CIMO Guide Based on monitoring requirements to guide the instruments’ design or upgrade Monitoring products for now casting
Questions? Comments? Thank you!