September 2025
3 posts published by Paul Pukite (@whut) during September 2025| GeoEnergy Math
… continued from last post. The last set of cross-validation results are based on training of held-out data for intervals outside of 0.6-0.8 (i.e. training on t<0.6 and t>0.8 of the data, which extends from t=0.0 to t=1.0 normalized). This post considers training on intervals outside of 0.3-0.6 — a narrower training interval and correspondingly … Continue reading Simpler models … alternate interval| GeoEnergy Math
… continued from last post. Each fitted model result shows the cross-validation results based on training of held-out data — i.e. training on only the intervals outside of 0.6-0.8 (i.e. training on t<0.6 and t>0.8 of the data, which extends from t=0.0 to t=1.0 normalized). The best results are for time-series that have 100 years … Continue reading Simpler models … examples| GeoEnergy Math
This article in MIT News: “New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.” … “While…| GeoEnergy Math
On RealClimate.org Paul Pukite (@whut) says 1 JUL 2025 AT 9:48 PM Your comment is awaiting moderation. “If so, do you have an explanation why the diurnal tides do not move the thermocline, whe…| GeoEnergy Math
Explore the complex relationship between tidal models and oceanic cycles, analyzing their impacts on sea level and fluid dynamics.| GeoEnergy Math
What really is the color GREEN? What does it mean to different people? We actually have no idea. Now, consider The Dress on its 10 year anniversary. One can either argue with others whether it is BLUE and BLACK or WHITE and GOLD, or objectively look at it’s composition from a technical standpoint. Below is … Continue reading Subjectivity and Perception| GeoEnergy Math
[mathjax]Earlier this year, I decided to see how far I could get in characterizing the El Nino / Southern Oscillation through a simple model, which I referred to as the Southern Oscillation Index M…| GeoEnergy Math
TANSTAAFL: there ain’t no such thing as a free lunch … but there’s always crumbs for the taking. Machine learning won’t necessarily make a complete discovery by uncovering some ground-b…| GeoEnergy Math
A climate teleconnection is understood as one behavior impacting another — for example NINOx => AMO, meaning the Pacific ocean ENSO impacting the Atlantic ocean AMO via a remote (i.e. tele…| GeoEnergy Math
A paper from last week with high press visibility that makes claims to climate1 applicability is titled: Topology shapes dynamics of higher-order networks The higher-order Topological Kuramoto dyna…| GeoEnergy Math
By applying an annual impulse sample-and-hold on a common-mode basis set of tidal factors, a wide range of climate indices can be modeled and cross-validated. Whether it is a biennial impulse or an…| GeoEnergy Math
A climate science breakthrough likely won’t be on some massive computation but on a novel formulation that exposes some fundamental pattern (perhaps discovered by deep mining during a machine learn…| GeoEnergy Math
Mathematical Geoenergy The truly massive scale in the motion of fluids and solids on Earth arises from orbital interactions with our spinning planet. The most obvious of these, such as the daily an…| GeoEnergy Math
Based on the previous post on applying Dynamic Time Warping as a metric for LTE modeling of oceanic indices, it makes sense to apply the metric to the QBO model of atmospheric winds. A characterist…| GeoEnergy Math
In formal mathematical terms of geometry/topology/homotopy/homology, let’s try proving that a wavenumber=0 cycle of east/west direction inside an equatorial toroidal-shaped waveguide, can onl…| GeoEnergy Math
