Ambient temperature fluctuations exhibit inverse-cubic spectral behavior over time scales from a minute to a day
Steven B. Lowen, Nishant Mohan, and Malvin Carl Teich

TL;DR
This study reveals that ambient temperature fluctuations follow an inverse-cubic spectral pattern over short to medium time scales, transitioning to an inverse-square pattern over longer periods, consistent with weather station data.
Contribution
The paper demonstrates a consistent $1/f^3$ spectral behavior in temperature fluctuations over minutes to hours, and a transition to $1/f^2$ over days, supported by extensive laboratory data.
Findings
Temperature fluctuations follow $1/f^3$ spectral behavior from 40 seconds to 1.2 days.
A transition to $1/f^2$ spectral behavior occurs over periods longer than 1.2 days.
Laboratory results align with European weather station data.
Abstract
Ambient temperature fluctuations are of importance in a wide variety of scientific and technological arenas. In a series of experiments carried out in our laboratory over an 18-month period, we discovered that these fluctuations exhibit spectral behavior over the frequency range Hz, corresponding to s d, where . This result emerges over a broad range of conditions. For longer time periods, d, corresponding to the frequency range Hz, we observed spectral behavior. This latter result is in agreement with that observed in data collected at European weather stations. Scalograms computed from our data are consistent with the periodograms.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
