| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 976118 | Physica A: Statistical Mechanics and its Applications | 2010 | 9 Pages |
Abstract
Long-range correlations of five kinds of daily temperature records (i.e. daily average temperature records, daily maximum temperature records, daily minimum temperature records, diurnal temperature range and the sum of daily maximum and minimum temperature records) from 164 weather stations over China during 1951-2004 are analyzed by means of detrended fluctuation analysis (DFA). These five kinds of fluctuation series are found to be power-law correlated with scaling exponents larger than 0.5. Local changes of scaling exponents are examined and the spatial distributions of these different kinds of temperature records are similar except the diurnal temperature range (DTR for short) records. Furthermore, the differences of the scaling behavior among diurnal temperature records and other kinds of temperature records are discussed.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Naiming Yuan, Zuntao Fu, Jiangyu Mao,