r/nws

▲ 2 r/nws

Can anyone explain heat advisories/warnings, please?

So I've noticed an odd lack of heat advisories in my area lately. I've tried doing some sleuthing on criteria and comparing nearby areas with similar temperatures. My sleuthing honestly made me more confused. I understand that each office has different criteria. However, it seems inconsistent to the extreme when you flip through the graphics. Any explanation would be wildly appreciated.

u/AlabasterPelican — 4 days ago
▲ 27 r/nws+1 crossposts

Derecho went through ohio

Heavy wind and Strom's went through my neighborhood in Cincinnati Ohio multiple tree's down in my area power is out many places lucky I had my power flick on and off but some how managed to keep power

u/strokenojoke2008 — 8 days ago
▲ 4 r/nws

NWS Site down

Anybody else notice the entire site being down this morning? Wonder if it has to do with the funding cuts??

reddit.com
u/flybygeo1 — 10 days ago
▲ 7 r/nws+2 crossposts

Probabilistic temperature guidance from NBM

Hello all. I'm not a Redditor, but I've been aware of Kalshi's weather prediction markets for some time. Reading your posts/comments about them, I noticed some recurring struggles and did a little Saturday project that I thought might be useful.

For my own professional reasons, I use various NWS forecast products extensively, including the National Blend of Models (NBM). If you are not familiar, the NBM aggregates a large group of NWP forecast products from the American weather center and others and applies a bias correction based on how all the models performed over recent history. The details are genuinely complicated, but it's a good product and there's a ton of information out there, explaining how it works, if you're interested. It's widely considered the best forecast for the US (for most purposes) and is almost always the benchmark that other US forecasts are compared to.

Importantly, the NBM project has a probabilistic subcomponent called Quantile Mapping and Dressing (QMD) that forecasts common surface variables in percentile terms. I thought the NBM's QMD might be helpful for you guys to get a sense of forecast uncertainty, so Claude and I put up a little app here: https://pointnbm.com/

You are also free to pull the JSON for different stations directly and use it however you want, like so: https://pointnbm.com/data/KLAX/latest.json

NOTE: I'm not selling anything. It's annoying to deal with the underlying gridded data directly, but it already gets extracted/processed on my own infra for other reasons. Cloudflare serves and caches the point data for the app, which is very light for individual locations, so it's nearly free to host this even if it gets traffic.

u/Optimal-Suit-2410 — 10 days ago