1. Ruisdael Observatory:
A High Resolution Atmospheric Model-Observation Infrastructure
Herman Russchenberg,

2. The challenge
Understanding the atmosphere at a wide range of spatial and temporal scales
The atmospheric water cycle
Atmospheric chemistry, greenhouse gases, air quality, aerosols
Land – atmosphere interaction
High-resolution atmospheric models based on first principles
Weather forecast
Climate models
Air quality models

3. Models Observations Nederlandse traditie van kijken en weergeven.
Kijk: hoe ziet een wolk er uit?
Denk: hoe moet ik dit weergeven en/of formuleren?

4. The infrastructure Distributed sensor network over The Netherlands
Central nodes with advanced instrumentation
Distributed nodes with supporting observations
High-resolution model infrastructure
Computer facilities for real time models from small to large scales
Model-observations
Real time data assimilation
Real time evaluation and validation

5. Ruisdael Observatory:
A High Resolution Atmospheric Model-Observation Infrastructure
Clouds
Radiation
Rainfall
Greenhouse gases
Soil properties
Aerosols
Wind
Turbulence
Temperature
Humidity
Trace gases
Vegetation
Surface albedo
Direct Numerical Simulation
Large Eddy Simulation
NWP
Chemistry Transport
Herman Russchenberg,

6. Unique world-class atmospheric observatory
Impact
Unique world-class atmospheric observatory
Sustainable energy
Water management
Air quality forecasts
Extreme weather forecast
Agriculture
Climate and weather
Atmospheric composition
Hydrology
Satellite validation

7. Development steps
1. Organize consortium and stakeholders; organization structure, legal and financial aspects, data policy, business models, embedding in international programs, organizations and networks, organization of stakeholders, outreach
2. Design study; optimal spatial structure of the network, operational and research instruments, mobile/fixed sensors, synergy of data flows, measurement parameters, data assimilation techniques and procedures, modelling structure, data products, data base system
3. Prototype cases and infrastructure for data processing; development of new network nodes with new functionalities, optimal computation facilities,
4. New instrument development: advanced scientific instrumentation, involvement of industries and new startups
5. Deployment; Integration of existing networks, expansion with new nodes and anchor stations

8. What’s the unifying scientific challenge?

9. What’s the unifying scientific challenge?