Trying to decide between a Patagonia H2NO 3L shell (Torrentshell) and a Outdoor Research Gore Paclite shell (OR Foray II). Paclite I think is considered a 2.5 layer fabric, but I've also seen it listed as a 2L fabic as well - maybe that is older version.

From what I've been able to find online so far, typically a 3L will always be superior to a 2 layer, but am confused by the 2.5 layer designation.

I know H2NO is not actually a fabric, but a classification or standard that Patagonia uses so it could be any fabric really, and that has me concered - where with Gore you know what you are getting. However I've also read some not so great reviews of Paclite (mosty in comparison to traditional GoreTex or GoreTex Pro so maybe not a fair comparison). Torrenshell specs as a lighter jacket by a few oz's, but they are actually different sizes due to how the manf does sizing, thus are basically within an oz of each other wieght-wise. Otherwise specs are similar with the primary difference being shell material, and the Foray II haveing side zips so it can be opened up somewhat like a poncho, which might be appealing since I am primarily a warm weather trip guy (see below).

I actually have a EE Visp, which is an ultralight rain shell that I am very happy with for the most part (other than not having pockets), so this jacket would be an extension of that system, ie the Visp is carried on every trip, but on colder trips or trips where I know there will be a lot of bad weather, etc I would instead bring this jacket as a more "robust" shell solution... if that makes sense. Note I am in Florida, so most trips are warm weather without much need for more than the Visp, but I do want a shell to cover any winter (ish) trips here and also in lower southern states ie GA,SC,TN, etc.

Found this online comparison, if accurate the TS wins on water resistance and durability, and the Foray more breathable and more comfortable...

https://www.outdoorgearlab.com/topics/clothing-mens/best-rain-jacket-men/compare?gearid_array[]=912981&gearid_array[]=913039