

Okay, a lot to unpack here. I work on atmospheric model development. Primarily upper atmosphere models, but have experience with forecasting models as well. Inherently, there is nothing wrong with moving to the cloud for hpc resources. However I do take an issue with the following statement:
“Cloud-based high-performance computing will accelerate the transition of research into operations by eliminating traditional bottlenecks of on-premise systems,” said NOAA Administrator Neil Jacobs in a statement.
The bottleneck in forecasting is NOT hardware but unknown and unresolved physical processes. Even at high resolution, forecasting models cannot capture physics and dynamics at spatial scales smaller than the grid of the model. We can make assumptions and use things like machine learning to improve subgrid processes but we cannot fully resolve them without an infinitely small grid, which is impossible. So moving to the cloud will not improve forecasting or the transition of RTO.
The second issue with this guy is he is a Trump nut hugger. See the following:
Sharpiegate https://en.wikipedia.org/wiki/Neil_Jacobs























The simple answer is cloud resources can scale to any number of cpus and gpus whereas on prem is static