I am trying to develop a single score, similar to BMI, for a place's "goodness of weather".
Yes, I am well-aware that BMI is flawed. But its simplicity is useful.
The data available to me are:
- MAX TEMP (°F)
- MIN TEMP (°F)
- AVG TEMP (°F)
- PRECIP (IN)
- SNOW (IN)
- Standard Deviation of each of the above.
Data are available for tens of thousands of weather stations in the USA, and are available in the following bin-sizes: annual, monthly, daily, hourly.
I think I want to use monthly data.
BMI is calculated as: weight in kilograms (kg) divided by height in meters, squared (m2).
In your opinion, what should the formula for "goodness of weather" look like?
(Of course, people will disagree on what constitutes good weather. Some like San Diego weather, some like Denver weather. So, what would your formula look like?)
There is no bad weather, only the wrong clothes.
Update: dew point and wind chill are collected by the weather stations. So yes, I will now aim to incorporate them.
But "good weather" is different for a farmer, a surfer, a skier or a city dweller.
London gets very little precipitation compared to Miami but gets 1500h of sun which is about 1300h of sun less than Miami which gets huge showers and then 2hrs later you are ready to hit the beach again.
Also some of my favorites climates:
Sydney, Cape Town, Aruba, Mexico City, Cabo San Lucas, Cotè Azur, Canary Islands