SnowenOutThere

You think this storm system is a sign that we might be seeing the nino couple atmospherically? Looked briefly at the H5 maps and it seems to be almost miller-B ish though as most vorticity is coming from the north to the south (or is the subtropical jet still displaced north due to summer?)

I'm most excited for the temps next week! Highs falling to near 60 degrees will be blissful. Some of my favorite weather is early fall rain as you get storm systems starting back up. It's humid but not the same oppressive 65 degree plus dewpoints. I've been so done with our extended summer.

I mean when it comes to which models I want on my side that’s basically a list from “hell no” to “great to have”

Wonder if there could be a flood threat about to unfold on the eastern foothills of the Shenandoahs down Charlottesville and south. Bunch of slow moving storms in an extremely moist airmass drifting towards an area that will provide orthographic lift.

I am so tired of 65+ degree dewpoints. It seems that we can’t even catch a break outside of Monday for next week.

Wonder if Charlottesville could do rather well with that sort of setup. I’m far enough west where I rely on a slightly more inland track for coastals than NOVA. As a side note, I think for my climatology class I’m going to be doing a semester research project on storm tracks based on El Niño vs La Niña and the different patterns you need to get snow in each. Will be done by December so might help with the upcoming season.

Can see the cold front pushing south through the area defined by the line of showers on the radar. The SPC surface map shows the wind shift too!

Definitionally anything generated by LLM is “ai slop”. AI models have no concern for the truth value of any generated output. They only care about predicting the next token/pixel/line no matter how right, wrong, pretty, or sloppy it looks. Furthermore, LLMs generally suck at broad tasks. They fake confidence and competence. Ask AI about your own special interest or hobby and you will find its output riddled with rather elementary errors in reasoning. Yes, sometimes it has the right “answer” but there is no process, the appearance of a process is just it predicting the actual process that would be there. Now, this only really applies to LLM models, as once you get into machine learning in general you can make it very good at these tasks. But, for what it’s worth, this is why LLMs should never be used in forecasting or forecasting graphic generation (ofc “AI” models are machine learning systems and have value”)

UVA Sunset after a convective complex rolled through.

DCAPE over me down at UVA is rather impressive. If the WV line holds together we could get some good wind damage.

From my amateur SPC mesoanalysis skills I think that our region might get a bit screwed from the storm complex, at least when it comes to maximizing our severe threat. The best shear looks to be to the northeast of our area, alongside the best ML lapse rates. The instability gradient additionally rides right along Baltimore. Think that MD might be able to cash in but I'd be worried about the storms riding that gradient if I was in NOVA.

3K NAM tracks a strong bowing segment through the area around 1am.

I'm wondering how this winter might be different for myself down in Charlottesville. Obviously, I'm still in the hope for a big storm category but otherwise are there any meaningful differences?

Ens are pretty rough. EPS goes cool for a bit around labor day before running back the heatwave we're in by late next week. CMCE keeps things cooler with more backdoor fronts. GEFS is a bit of a mix between the two that keeps us on the south side of any fronts, but has colder air up in PA.

Think it looks pretty good to become a TS if it becomes strong enough. It has some surprisingly nice outflow to its south with a good level of anticyclonic spin aloft. Honestly, the limited convection makes it a good study of the cyclonic surface vs anticyclone aloft.