Earth and Planetary Sciences ETDs
Publication Date
Summer 7-28-2026
Abstract
Understanding the processes that control water vapor isotopic composition in mountain environ- ments is essential for interpreting isotope records and predicting water resource responses to cli- mate change. This thesis applies information theory to continuous, high-resolution water vapor stable isotope measurements from the Surface Atmosphere Integrated Field Laboratory (SAIL) campaign in the East River watershed of Colorado’s Upper Gunnison Basin, spanning the winter- to-spring transition of 2022–2023. The analysis employs Shannon entropy, mutual information, transfer entropy, and joint transfer en- tropy (JTE) to quantify how environmental variables, including surface meteorology, radiation, tur- bulent fluxes, and ERA5 reanalysis products, transfer information to deuterium excess (d-excess) and δ D. A rolling-window composite JTE framework evaluates variable sub-combinations at each time point and tracks how information transfer evolves. Recovering the known Clausius-Clapeyron and Stefan-Boltzmann relationships validates the methodology. Information transfer to d-excess shifts systematically with meteorological regime. The normalized 17-input composite explains 15–55% of target entropy persistently, dominated by geopotential height and longwave radiation. A focused 3-input combination (wind speed, wind direction, net radiation) explains 5–18% intermittently, delineating three regimes: wind-driven blowing snow sublimation in late December and January (8–12%), a mid-winter period where these surface vari- ables explain less than 5%, and a spring regime where wind direction and net radiation combine synergistically (10–18%). The shift of wind direction from irrelevant in winter to the dominant syn- ergistic contributor in spring is the clearest evidence that the framework detects genuine changes in process dominance. Composite JTE time series analysis provides a model-free diagnostic for isotope hydrology, quan- tifying how the dominant controls on isotopic composition shift through time across any high- resolution environmental record.
Degree Name
Earth and Planetary Sciences
Level of Degree
Masters
Department Name
Department of Earth and Planetary Sciences
First Committee Member (Chair)
Joseph Galewsky
Second Committee Member
Zachary Scharp
Third Committee Member
Peter Fawcett
Language
English
Keywords
Stable Isotope, Information Theory, Complex Systems, Colorado, High Elevation, Hydrology
Document Type
Thesis
Recommended Citation
Rybecky, Matthew John. "Information Theory Analysis of Water Vapor Stable Isotopes from the SAIL Campaign." (2026). https://digitalrepository.unm.edu/eps_etds/450
Included in
Analytical Chemistry Commons, Data Science Commons, Dynamic Systems Commons, Environmental Monitoring Commons, Hydrology Commons, Non-linear Dynamics Commons, Numerical Analysis and Scientific Computing Commons, Physical Chemistry Commons, Water Resource Management Commons