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Juha-Pekka Luntama Finnish Meteorological Institute Third European Space Weather Week 13-17 November 2006 Brussels, Belgium. Session 5: Methods used in Meteorology Applied to Space Weather Session Introduction. Why do we have this session?. Why do we have this session?.
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Juha-Pekka Luntama Finnish Meteorological Institute Third European Space Weather Week 13-17 November 2006 Brussels, Belgium Session 5: Methods used in Meteorology Applied to Space WeatherSession Introduction
Why do we have this session? • Because contacts between space weather and meteorological communities seem to be limited
Why do we have this session? • Because contacts between space weather and meteorological communities seem to be limited => “re-inventing the wheel” + repeating mistakes
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
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
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
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” ?
PRE-PROCESSED OBSERVATIONS RAW OBSERVATIONS “FORECASTOBSERVATIONS” PRE-PROCESSING COMPARE MAP BACK TOGEOPHYSICALVARIABLES OBSERVED VARIABLES “OBSERVATIONOPERATOR” GEOPHYSICAL VARIABLES INTERPOLATE TO TIME/PLACE OF OBSERVATIONS INTERPOLATE TO MODEL VARIABLES J.R. Eyre, Variational Assimilation of Remotely-Sensed Observations of the Atmosphere, J. Meteor.Soc. Japan, 75, 1B, 331-338, 1997 FORECAST FORECAST NWP FIELDS Data assimilation
OBSERVATIONS SCIENCE ASSIMILATION MODELLING 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
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