Luboà…⟠Motl has kindly directed our attention to the following interest paper by S. Redner and M. Petersen, On the Role of Global Warming on the Statistics of Record-Breaking Temperatures, scheduled for publication in Phys Rev Letters E, presently online here with abstract:
We theoretically study long-term trends in the statistics of record-breaking daily temperatures and validate these predictions using Monte Carlo simulations and data from the city of Philadelphia, for which 126 years of daily temperature data is available. Using extreme statistics, we derive the number and the magnitude of record temperature events, based on the observed Gaussian daily temperatures distribution in Philadelphia, as a function of the number of elapsed years from the start of the data. We further consider the case of global warming, where the mean temperature systematically increases with time. We argue that the current warming rate is insufficient to measurably influence the frequency of record temperature events over the time range of the observations, a conclusion that is supported by numerical simulations and the Philadelphia temperature data.
I won’t have an opportunity to go through it in detail, but it seemed on a quick browse to be a sensible treatment of the topic. The submission history of the article suggests that it had been previously submitted to the Journal of Climate. Perhaps these findings were inconsistent with Journal of Climate editorial policy. It would be interesting to see why the article was rejected by Journal of Climate (if this was the case) as the treatment seems professional enough.