dirtySourdough
joined 1 year ago
Hey, uh, could I not have my data stolen for FIVE FUCKING SECONDS?!
I'm bringing chilli
Atari 7800. I bought it from someone on craigslist about 3 years ago. The video was pretty fuzzy and audio wasn't consistent, so I talked them down to a good price. I ended up modding it for composite video and audio, but I rarely play it. I didn't grow up with an Atari, so I don't have the nostalgia for the games, but I still think it's pretty neat.
TIL that plain TeX is a thing.
Neat, lots more e-waste incoming
Oh that's interesting. I started poking around with a Gameboy emulator guide implemented in Python that intended to emulate a Z80. Got any good resource recommendation in case I decide to pick this back up and inevitably get stuck?
I've been playing Metroid Prime 3 and largely enjoying it. The most recent boss fight was incredibly fun and refreshing, easily the best in the game and high in the rankings for best boss fight period.
I've been playing MP3 for the first time lately and I'm excited for this next entry! I'm glad to see they have seemingly introduced a new nemesis, as dark Samus was getting a little old IMO
Oddly enough I've had the most success selling things on craigslist in the past few years. When I list things on OfferUp I get some messages but everyone is super flaky. People are still flaky on craigslist but I almost always end up closing the sale there instead of OfferUp
Weather prediction at point locations is extremely challenging to get right because we simply can't observe and make predictions for every single square inch of the earth. Many weather models are run on grids with boxes about the size of a few kilometers at the smallest scale, which means that any physical process in the atmosphere that is the size of that box or smaller won't be represented well by the model.
Specifically on your point about clouds passing over your location, cloud and precipitation formation is even more challenging. Clouds and precipitation form due to atmospheric processes ranging from hundreds of kilometers all the way down to micrometers, which practically means the weather models are making an educated guess (albeit a very good one that is informed by scientific research) about when and where clouds will form. And when a model does predict a cloud, it will cover an entire grid box.
Finally, I saw you made a comment about how machine learning should improve forecasts, and in fact it does! But the weather community is still working on data driven models (as opposed to models that solve physical atmospheric equations), and most of them are run by private companies so their output is not free. As these data driven models get better, it may be possible that they will be able to make predictions at scales less than a kilometer.