2503.20743
Topology of the Polar Vortex and Montana Weather
Joshua Dorrington, Sushovan Majhi, Atish Mitra, James Moukheiber, Demi Qin, Jacob Sriraman, Kristian Strommen
incompletemedium confidence
- Category
- Not specified
- Journal tier
- Note/Short/Other
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper and the model align on methodology and phenomena but both leave key gaps. The paper specifies sliding-window delay embeddings with M=7, tau=1 and 30-point windows for 2015–2020 and uses VR persistent homology, reporting a single winter peak per year and the largest signal in early 2016; it also shows H1 snapshots on 2016-02-01 (two prominent features) and 2016-02-03 (one feature) consistent with a merge event (figures described in the text) . However, the paper does not formalize the persistence-norm time series, uniqueness criteria, or margins, and it contains a small inconsistency between the SW formula (vectors in R^{M+1}) and the phrase “vectors of 7 daily observations” when M=7 . The model proposes an executable pipeline that would confirm exactly these claims and dates (including 2016-02-01 vs 2016-02-03) but remains unexecuted due to missing data and also introduces a mis-specified top-2 count that mixes H0 and H1, whereas the paper’s discussion is explicitly H1-centric; the paper’s abstract even frames “vortex splitting” in terms of the number of distinct persistent H1 features .
Referee report (LaTeX)
\textbf{Recommendation:} major revisions \textbf{Journal Tier:} note/short/other \textbf{Justification:} The study is a clear and engaging application of persistent homology to polar vortex dynamics and matches known 2015/2016 meteorological events. However, crucial methodological specifics (the exact persistence-landscape norm and its construction), quantitative validation (uniqueness of peaks, margins, uncertainty), and fully reproducible code/data are missing. A small inconsistency in embedding dimension needs correction, and the loop-feature discussion should remain H1-specific. Addressing these will substantially improve correctness and impact.