Based on anecdotal comments weather plays an impact in museum attendance.
In an analysis of past museum attendance data, I can see that Walk Up attendance at my Museum is in fact impacted by weather in a nonlinear way. (For my better models between 8% and 18% of the variability is related to temperature, 3% to 18% humidity, 2% to 14% precipitation.) I'm interested in making a daily forecast of future attendance using similar models over a 1 - 1.5 year period. General weather predictions are only good for 7 to 10 days. So, I need a way to create "Synthetic" weather data daily over a 1 - 1.5 year period into the future that is representative of the kind of weather in my area. I then hope to do a Monte-Carlo simulation in order to do a sensitivity analysis. This would give me a range of attendance estimates as well as a most likely estimate. Questions:
--Tom