A lot of this is over my head as a non met and more of a causal snow weenie (especially in such a complex setup like this) so I would like to learn more about your process. From what I understand you don’t just look at QPF, storm track, 500mb You see the entire system, notice patterns (eg your Miami rule, phase heavy bias in the mid range, teleconnections, anticipating where the correction vector is pointed based on the ensemble clustering etc) and lean on that pattern recognition rather than ripping and reading QPF and kuchera like people do on Twitter. It’s an old school approach similar to another met I follow, Bernie Rayno. We need more of this and less QPF ripping from twitterologists. Feel free to tweak or correct parts of this that are off base.
About your game of managing nested anomalies idea, I want to make sure I really understand this right. Would things like an extreme arctic airmass, intense thermal gradient, rapid phase shift for NAO, ENSO mismatch (La Nina surface with El Niño subsurface), etc fall into that category? The arctic airmass isn’t as entrenched as it was in the heart of winter, but a 1050ish mb high diving into the Midwest is no joke. Then we have the SE well AN. What about the role that CC as a whole plays in this idea of nested anomalies? On a global scale we are a pocket of cold in a sea of warmth like you mentioned in an earlier post, I’m curious how that ties into this.