Future daft requirements of operational Space Weather systems

As Space Weather makes the transition from a research to an operational mode, the need for reliable and relevant datasets will be of paramount importance. Good research data will not necessarily be good operational data, we will discuss some reasons why. The first order data inputs required for the developing suite of Space Weather Forecast models (GAIM, CISM, EPPIM, etc) need to be identified at an early stage so that adequate observational networks (space and ground based) can be put into place. Lessons learned from decades of operational meteorological forecast systems should be applied. Ranking, relevance and cost-benefit decisions need to be performed on each component of the Operational Space Weather system to insure that the maximum amount of capability is obtained at a reasonable cost. We will examine a range of proposed space weather data inputs and attempt to apply these criteria to each of them.