From the NWS forecast discussion:
“Additional cloud cover due to the increased southerly and warm moist flow will keep most temps below 90 today.”
But there’s that 86 at noon. We gained 6 degrees on our noon temp yesterday.
Haven’t invested in my weather station just yet, so I won’t know if my backyard hits 90 today. I realize that there are plenty of people that get irked by getting 89’d but it’s not like there’s some sort of curse that prevents us from getting to 90. But I hate getting 33’d in May or October so I understand the feeling.
One other point here: is it that far-fetched to believe that there could conceivably come a day hundreds or thousands of years from now when weather forecasting could advance to the point where they could say something like “you’ll get exactly 5.3 inches of snow a week from now and not a tenth more or less” and be completely accurate every time? That would be good news for the general public but would suck a lot of the fun out of this hobby for people like us.
As for KPIT hitting 90 today, I hope it doesn’t, but I kind of have to hope it does so I don’t eat crow back on my home thread.
RE: this point, yes it’s weird when the GFS shows a high of 50 on D10 one run and 80 the next, but to me that just goes to show the practical limits we as a human race have on weather forecasting. The uncertainty is part of the fun.
I’ll also add that it’s probably dependent on who is doing the forecasting. I would guess that the NWS is a lot less likely to pull the trigger and forecast 90 when it’s going to be close but they’re only confident in 89, but local news media outlets will forecast 90 in more of those situations. Just a hunch.
Maybe give him and these politicians an all-expenses-paid trip to the Tri-Cities area in Washington state for the next few days and put them up in a place without a/c and then have them report back to us with their thoughts on climate change.
It’s an interesting point, definitely something I’d be curious about. Not that such statistics probably exist or are kept, but I’d be intrigued to see a statistical analysis of where our highs typically end up on days when we’re forecast and/or modeled to hit exactly 90, and see if that average is lower or higher or about 90 exactly.
True, I suppose technically there is an invisible force that makes it more likely to get to 89 than 90. That invisible force is probability. But I wouldn’t say we underperform any more often than we overperform either.
Well yes, but then again it would make sense that when the normals are 82 or 83, then 88 would be more common than 89, which would be more common than 90, which would be more common than 91, etc., right?
We hit 90 many, many times last summer. It looks like 17 times to be exact (including one in early June). We topped out at 88/89 a total of 13 times. Which is more typical?
As I’ve said before, if we get to a day where my options are 99 and drenched in sweat or 100 and drenched in sweat, I’ll be right there with you rooting for it.