1. Session 5: Methods used in Meteorology Applied to Space Weather Session Introduction Juha-Pekka Luntama Finnish Meteorological Institute Third European Space Weather Week 13-17 November 2006 Brussels, Belgium

2. 13-17 November, 2006ESWW3 Why do we have this session?

3. 13-17 November, 2006ESWW3 Why do we have this session? Because contacts between space weather and meteorological communities seem to be limited

4. 13-17 November, 2006ESWW3 Why do we have this session? Because contacts between space weather and meteorological communities seem to be limited => “re-inventing the wheel” + repeating mistakes

5. 13-17 November, 2006ESWW3 Why do we have this session? Because contacts between space weather and meteorological communities seem to be limited => “re-inventing the wheel” + repeating mistakes Met. community has spend a long time (and a lot of money + manpower) to develop current NWP systems

6. 13-17 November, 2006ESWW3 Why do we have this session? Because contacts between space weather and meteorological communities seem to be limited => “re-inventing the wheel” + repeating mistakes Met. community has spend a long time (and a lot of money + manpower) to develop current NWP systems => experience on what works and what does not

7. 13-17 November, 2006ESWW3 Why do we have this session? Because contacts between space weather and meteorological communities seem to be limited => “re-inventing the wheel” + repeating mistakes Met. community has spend a long time (and a lot of money + manpower) to develop current NWP systems => experience on what works and what does not Met. institutes have run operational 24/7 services for decades

8. 13-17 November, 2006ESWW3 Why do we have this session? Because contacts between space weather and meteorological communities seem to be limited => “re-inventing the wheel” + repeating mistakes Met. community has spend a long time (and a lot of money + manpower) to develop current NWP systems => experience on what works and what does not Met. institutes have run operational 24/7 services for decades => can operational space weather services take advantage of the “lessons learned” ?

9. 13-17 November, 2006ESWW3 Data assimilation COMPARE PRE- PROCESSING “FORECAST OBSERVATIONS” MAP BACK TO GEOPHYSICAL VARIABLES “OBSERVATION OPERATOR” INTERPOLATE TO MODEL VARIABLES INTERPOLATE TO TIME/PLACE OF OBSERVATIONS FORECAST NWP FIELDS OBSERVED VARIABLES GEOPHYSICAL VARIABLES RAW OBSERVATIONS PRE-PROCESSED OBSERVATIONS J.R. Eyre, Variational Assimilation of Remotely-Sensed Observations of the Atmosphere, J. Meteor.Soc. Japan, 75, 1B, 331-338, 1997

10. 13-17 November, 2006ESWW3 Development of numerical models Virtuous cycle: => Physically based models provide a route for long-term scientific growth Numerical model development is a major task => collaboration OBSERVATIONS ASSIMILATIONSCIENCE MODELLING

11. 13-17 November, 2006ESWW3 Observation data How to ensure data availability: –Scientific data (flexibility for performing experiments) –Operational data (continuity, timeliness, stability) Data management: –processing (pre-processing, product generation, product levels) –dissemination (raw data, products) –archiving (permanent archive or raw data and products) Data management is a challenge especially for operational NRT services

12. 13-17 November, 2006ESWW3 Session 5: Presentations M. Angling On the Application of Meteorological Data Assimilation Techniques to Radio Occultation Measurements of the Ionosphere H. Vedel About the EUMETNET GPS Water Vapour Programme E-GVAP R. Eresmaa et al. Development of Observation Operators for GPS Slant Delays A. De Rudder et al.Atmospheric Data Management: a Challenge M. Keil et al.Forecast Uncertainty: the Ensemble Solution G. Tisnado MET Observations Underpinning Space Weather Forecasting Poster: C. Mathison et al.Coupling a Global Circulation Model with a Space Weather Model