1. Capacity for Service Delivery China Meteorological Administration
November 2016

2. Outline Changing Service Needs 1 2 Service Capacity Development 3
Suggestions

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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.

10. Thank you !