Jacob Prince-Bieker

Hi, We've ended up having to deprioritize building that dataset as we've been focused on our solar forecasting. The data is already all public though, with the MRMS data on...

They also compare to station observations from the NOAA ISD dataset, which I've been working with in the planetary dataset library. Global hourly station observations going back years, and available...


Seems somewhat similar to MetNets timestep embedding which resulted in Metnet 1 of one set of model weights for each forecast timestep. LoRA seems more lightweight to use since it's...

A lot of these LAM has higher update rates than the global models that they use for boundary conditions (i.e. HRRR is every 15 minutes, while GFS is hourly). One...

They use dense and sparse inputs, as well as outputs. - Use HRRR output to help with training, but don't actually look at the predictions - Uses very large center...

More notes: - They use 942 weather stations, and train by assigning the values of the weather observations to the 4x4km pixel in which it lies. If there are multiple...

ASOS 1 minute weather data (public and freely accessible): https://madis.ncep.noaa.gov/madis_OMO.shtml

Also, they mention that MetNet-3 is being used for operational forecasts in Google Search already

Yeah, timm also has an implementation of MaxViT as well in Pytorch, we could either use or base ours off of it