For our meeting this week we have the statistically correlatable Stuart Corney talking about being data poor but model rich, and does that really matter?
In the current environment of tighter budgets and decreased opportunity for field time to conduct research Stuart will examine issues surrounding data (information that comes from observations) and model output (information that comes from a computer), and look at the different ways that various disciplines regard model output, data or data products.
Can one scientist’s model output be considered another’s data. Can models be used to replace observations?
We’re hoping for some lively debate and discussion around these topics!
— When & Where —