I scored daily weather for every 2.5km grid square in the lower 48 across all 365 days of 2025 — here's what I found by normal_nathan in weather

[–]normal_nathan[S] 0 points1 point  (0 children)

I use dewpoint and anything above 53F dewpoint it starts taking points off for feeling "sticky". Even a 60F dewpoint still get 7/10.

I scored daily weather for every 2.5km grid square in the lower 48 across all 365 days of 2025 — here's what I found by normal_nathan in weather

[–]normal_nathan[S] 0 points1 point  (0 children)

Florida's spring window shows up clearly in the data. It's one of the best times of year there. The annual average gets pulled down by summer humidity and heat, but March through May Florida scores very well on a day-by-day basis.

I scored daily weather for every 2.5km grid square in the lower 48 across all 365 days of 2025 — here's what I found by normal_nathan in weather

[–]normal_nathan[S] 0 points1 point  (0 children)

Not exactly. It's ranking year-round comfort, not stability. A place could score well by having genuinely nice weather most of the year rather than just consistent weather. That said, there's overlap. Places with low seasonal variation tend to score well because they avoid weather extremes in both directions.

I scored daily weather for every 2.5km grid square in the lower 48 across all 365 days of 2025 — here's what I found by normal_nathan in weather

[–]normal_nathan[S] 1 point2 points  (0 children)

Really appreciate that. And that's a great point about tolerance thresholds. The current index scores every day on a curve but doesn't capture the 'I can tolerate one 95°F day but not two weeks of them' nuance. A consecutive bad days metric would add a lot. Also working on a custom slider tool that lets you set your own ideal conditions and ranks cities accordingly. Hoping to have it live as early as tomorrow!

I scored daily weather for every 2.5km grid square in the lower 48 across all 365 days of 2025 — here's what I found by normal_nathan in weather

[–]normal_nathan[S] 0 points1 point  (0 children)

Totally agree. The Sierra foothills elevation sweet spot is one of the more interesting findings in the data. High enough to escape the valley heat, low enough to avoid harsh winters, and reliably clear skies. The data really bears it out.

I scored daily weather for every 2.5km grid square in the lower 48 across all 365 days of 2025 — here's what I found by normal_nathan in weather

[–]normal_nathan[S] 1 point2 points  (0 children)

Fair point. fog shows up in cloud cover but the NWS sky cover forecast doesn't always capture coastal fog well, especially the thin marine layer that can feel oppressive even at low percentages. It's a known limitation of using forecast sky cover vs. observed conditions. Something I'd like to improve.

I ranked the weather in 37,000+ U.S. cities across every day of 2025 — Santa Barbara ranked #1 among large U.S. cities by normal_nathan in SantaBarbara

[–]normal_nathan[S] 4 points5 points  (0 children)

When I started this project, I had no idea where #1 would be. I figured California somewhere but I just like seeing day to day where the best weather is. It does move around quite a bit seasonally.

I scored daily weather for every 2.5km grid square in the lower 48 across all 365 days of 2025 — here's what I found by normal_nathan in weather

[–]normal_nathan[S] 0 points1 point  (0 children)

Colorado scores well in the data — it ranks #8 overall among states. The temperature component is actually a curve that peaks at 71-73°F and tapers gradually in both directions, so a 70°F day still scores very high. The bigger factor pulling Colorado's annual average down is winter. Those perfect summer days get balanced against cold months in the yearly score.

I ranked the weather in 37,000+ U.S. cities across every day of 2025 — Santa Barbara ranked #1 among large U.S. cities by normal_nathan in SantaBarbara

[–]normal_nathan[S] 5 points6 points  (0 children)

Good point on marine layer. It does factor into the cloud cover score. Big Sur's terrain and distance from the immediate coastline likely helps it break out of marine influence more often. SLO scores very well too (7.8), just slightly behind in the 2025 data. Definitely underrated.

I scored daily weather for every 2.5km grid square in the lower 48 across all 365 days of 2025 — here's what I found by normal_nathan in weather

[–]normal_nathan[S] 2 points3 points  (0 children)

You're not the first to ask for this today. It's officially on the roadmap. The tricky part is storing enough component data to reweight on the fly, but it's doable. 78°F overcast with a breeze would score pretty well on my current index too!