This past weekend my husband and I went first home football game of the season for the Iowa Hawkeyes. I was excited about the game until I saw the forecast for this past Saturday . . . every day on the news it seemed like the high temperature for the day kept creeping higher and higher. Finally, on Thursday of last week the air temperature was forecast to reach 94 degrees and the University of Iowa athletic department began posting tips on now to start hydrating now for the game on Saturday.
I called my husband and work and our conversation went something like this:
Me: Did you see the forecast for Saturday? I think its supposed to be dangerously hot . . .
Husband: Are you trying to bail?
Me: No! I’m just worried about the heat . . . they said to start hydrating today.
Husband: You’re a fair weather fan!
Really?!? A fair weather fan?
We went. We had a great time. The Hawkeyes won. I didn’t melt. All in all it was a successful Saturday.
But my experience on Saturday got me thinking about a little thing called the heat index . . . I always thought it of it as the wind chill of really, really hot temperatures. So, I decided to do a little digging to
- Find out about the heat index.
- Prove to my husband that I am not a fair weather fan.
According to the National Weather Service, the calculation of the heat index is a regression equation . . .which quite frankly seemed a little complicated for this blog (but if you’d like to see it, look here).
But, I did think that it was interesting that there was an important note when reading the heat index table . . . the NWS warns that the heat index can only be accurately calculated when the humidity and air temperature are represented on the chart. In other words, this is a domain and range issue.
There are many situations in mathematics when we’d like to model a particular phenomenon. . . (heat index, racing times, time-lapse modeling) just to name a few. And in those situations it does not make sense to have the domain and range be all real number. Sometimes it doesn’t make sense because the situation represented doesn’t make sense (i.e. negative time) and sometimes it doesn’t make sense because the function will not fit the data as closely if we allow the domain to be all real numbers (as in the case of the racing times).
This past Saturday the temperature at game time was 90 degrees with about 60% humidity . . . we stayed until the end of the third quarter when the Hawkeyes were winning 31-0. So, what say you . . . am I a fair weather fan?