Capacity for Service Delivery China Meteorological Administration November 2016

Outline Changing Service Needs 1 2 Service Capacity Development 3 Suggestions

Levels Of Need Action Foreseeing Data Driven Impact Personalized Impact based advice Emergency Response Action taken Smart Service Triggered by forecast Automatic Process User Profile User Scenarios Impact Personalized User involved User Oriented Customized Individualized User Specific Event Specific Whole Process Involved Vulnerability Exposure Resilience Forecast Localized Customized Precise & Fine Scale Quantitative & Digital Accurate & Measurable Location based Seamless forecast Rapid updated Industry specific Generic Information Static Information Service Category Government Publics Specialized Common Capacity Building Establish the Routine Operation for Meteorological Service Multi-model, ensemble, monitoring, seamless forecasting Multi-disciplinary cross-cutting and integration Big Data, Cloud Computing, Mobile Internet, IOT， AI Multi-sector partnership

Capacity 1: Monitoring, Seamless Forecasting Impact analysis at any timescale and for response advice Satellite monitoring Upper-air sounding Seamless forecasting system Surface-based observation daily monthly decadal Past climate min hourly yearly centennial Dust storm Thunderstorm Torrential rain Typhoon Monsoon Emergency response for disaster risk reduction EI Nino Global Change Risk mapping Disaster planning infrastructure investment Climate change adaptation and response

Capacity 2: Operational Structure pf Service China: all-area service by met agencies at national, provincial, prefectural and county levels agencies agencies teams CMA has 12 thousand staff dedicated to met service, accounting for 20% of the total. teams Service technical support system, product R&D and generation system, information distribution system systems practices Complete operational processes, operational standard practices systems practices Operational service

Capacity 3: Applying Emerging Technology Systems for data processing and analysis, product R&D and production, and information distribution that are open to modern IT including big data, cloud computing, mobile IoT, AI in support of service development. smart perception Accurate prediction data fusion rapid analysis easy access Rapid information distribution system Refined forecasting model and system Cloud, big data, IoT, smart mobile creation and application of big data Massive information analysis and processing system

Capacity 4: Multi-disciplinary Collaboration NWP model-based techniques plus relevant industrial ones to derive products that further meet demands + atmospheric chemistry model coupling + wind farm data = wind power assessment service = air quality forecasting NWP model + hydro model , geological hazard model + traffic information = road agglomerate fog risk forecast = met risk warning for geological hazards

user Capacity 5: Multi-sector Partnership meteorology B. full cooperation with users (technology, institution, training) A. Access multi-source data NMS user Forestry Air quality meteorology Trans. Tourism Multi-agency interaction for disaster prevention and mitigation Electricity …… Multi-agency interaction to reduce disaster risks Impact-based service for any sector

Suggestions CBS to promote the global sharing of high-resolution NWP products to maximize the benefits of the advances in meteorological science (SWFDP, an example) CBS, to promote the multi-disciplinary research , in collaboration with other commissions and partners within and outside WMO CBS to study the impact of new technologies including Big Data, clouding and AI, on the public weather service delivery, and operational activities of NMHSs.

Thank you !