Ginx snewx

Really cranked up

High definition RGEM gon wild

I wake up every night for a bathroom trip. Keep the Euro loaded on the phone. Quick check then back to sleep.

WPC issued for 12Z for the 26th

EPS getting juicy for us. We talked about this overrunning setup for 2 weeks. Its here and who scores is still up in the air. Good luck to all.

Thats a overunning prolific snow storm on the 6z Euro. Ongoing at day 6

Just line me up with the norlun after a couple.

You can see all the personal wx stations went down at the same time here. Right when gusts were starting to crank and it was raining hard.

Who pisses in your Cheerios every day.

Really easy to find. https://weathersats.com/the-evolution-and-future-of-ai-in-weather-forecasting/#:~:text=AI Models Enhancing Numerical Weather,forecasts more frequently and accurately. Normalization and Formatting: Data, often in GRIB or NetCDF formats, is cleaned and structured into consistent grids, frequently at 0.25-degree resolution. Feature Engineering: Raw data is converted into actionable features, such as calculating "feels like" temperature or creating precipitation intensity categories. Data Assimilation for "Real-Time" Updates AI models use advanced techniques to ingest the current state of the atmosphere into the model to begin a forecast: AI-Driven Assimilation: Instead of traditional, slow numerical methods, AI accelerates the integration of new observations by filling in data gaps in regions where measurements are sparse. Hybrid Approaches: Some models, such as NeuralGCM, blend AI with traditional physical simulations to ensure the input data respects atmospheric dynamics. Specialized Adapters: To shift from historical training data to live data, models may use specialized neural network architectures (like U-Net) to map real-time, "messy" data into the same format used for training. Key Technologies Used Neural Networks (CNNs/RNNs): Convolutional Neural Networks analyze spatial satellite imagery, while Recurrent Neural Networks process time-series data. Cloud Platforms: Models are often hosted on AWS, Google Cloud, or Microsoft Azure to manage the high volume of data. Transformers: Used to process long-range dependencies in atmospheric data.

I remember when people complained about the Juju word back on Eastern. Lol There was no Grinch storm instead its a Christmas miracle. Festivus for the rest of us.

Its beginning to look alot like Christmas Congrats Jeffafafafa to Dendrite and everyone else

I think Ineedsnow mentioned it; definitely a flash freeze here.

Guys coming tomorrow

Snow 38⁰

Wut? Pick it

Nice

This is a problem right above the new coop . Damn

Timing ?

The new wx station at 395 probably 2 miles due west HD 59 it's probably close. Edit actually neighbors nearby had 57.7

No idea just got power back 55?

You valley inland dudes...

Congrats