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March 18, 20260 citationsOpen Access

Atmospheric CO₂ Daily Volatility Time Series

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KPK.D Pom

Key Points

  • The aim is to analyze daily atmospheric CO₂ levels and their volatility over time.
  • Collected daily atmospheric CO₂ measurements
  • Calculated short-term volatility via rolling standard deviations over 30 days
  • Included a residual-based volatility after removing long-term trends
  • Identified short-term variations in atmospheric CO₂ levels
  • Captured anomalies that could indicate significant fluctuations
  • Provided insights into pre-indicator patterns related to CO₂ dynamics

Abstract

This dataset contains daily atmospheric CO₂ measurements and their calculated volatility. The volatility series captures the short-term variation of CO₂ concentration, computed as rolling standard deviations over a 30-day window. Additionally, a residual-based volatility is included, representing fluctuations after removing long-term trends. This dataset is intended for research on time-series dynamics, anomaly detection, and studying pre-indicator patterns in atmospheric CO₂ levels.

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Cite This Study

K.D Pom (2026) studied this question.

synapsesocial.com/papers/69ba424e4e9516ffd37a2667https://doi.org/10.5281/zenodo.19043969
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