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Global Climate Change01:50

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Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
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A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional...
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Updated: Mar 18, 2026

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
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Application of Signal Analysis to the Climate.

Peter Stallinga1, Igor Khmelinskii2

  • 1Center for Electronics, Optoelectronics and Telecommunications, Faculty of Science and Technology, University of the Algarve, 8005-139 Faro, Portugal.

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Global warming research questions if carbon dioxide (CO2) increases global temperature. Analysis suggests temperature changes may drive CO2 levels, not the reverse, challenging the primary assumption of anthropogenic global warming.

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Area of Science:

  • Climate Science
  • Atmospheric Physics
  • Environmental Science

Background:

  • The Anthropogenic Global Warming hypothesis posits that increased atmospheric carbon dioxide (CO2) significantly elevates global temperatures.
  • Understanding the causal relationship between CO2 concentrations and global temperature is crucial for climate modeling and policy.

Purpose of the Study:

  • To investigate the causal link between atmospheric carbon dioxide and global temperature.
  • To analyze the temporal dynamics and phase relationships between temperature and CO2 data.

Main Methods:

  • Analysis of bicentenary temperature and CO2 measurements in both time and phase domains.
  • Application of a relaxation model using an electronic equivalent circuit to interpret data.
  • Examination of delays and phase shifts in periodic signals.

Main Results:

  • Observed delays between temperature and CO2 data (9 ± 3 months) deviate from theoretical predictions based on CO2 as the primary driver.
  • The data suggests a potential reversal of the cause-and-effect relationship, with temperature influencing CO2 levels.
  • Literature review indicates prior reports of CO2 variations lagging behind temperature fluctuations.

Conclusions:

  • The findings challenge the conventional understanding of CO2 as the primary driver of global warming.
  • Evidence suggests that temperature may be a leading indicator for atmospheric CO2 changes.
  • Further research is warranted to fully elucidate the complex interplay between temperature and CO2.