Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10480927 | Physica A: Statistical Mechanics and its Applications | 2013 | 22 Pages |
Abstract
A thermodynamic device placed outdoors, or a local ecosystem, is subject to a variety of different temperatures given by short-term (daily) and long-term (seasonal) variations. In the long term a superstatistical description makes sense, with a suitable distribution function f(β) of inverse temperature β over which ordinary statistical mechanics is averaged. We show that f(β) is very different at different geographic locations, and typically exhibits a double-peak structure for long-term data. For some of our data sets we also find a systematic drift due to global warming. For a simple superstatistical model system we show that the response to global warming is stronger if temperature fluctuations are taken into account.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
G. Cigdem Yalcin, Christian Beck,