Abstract
Daily records including the 0-cm average ground surface temperature (AGST) and average air temperature (AAT) from 557 meteorological stations over China from 1951 to 2010 are analyzed by employing the detrended fluctuation analysis (DFA) method. Different long-range correlation behaviors are found between AGST and AAT. The results show that the regional-averaged, minimum, and maximum values of the scaling exponents for AGST are shifted to the higher values than those for AAT over China. Furthermore, the number of stations where the differences of the scaling exponents between AGST and AAT is greater than zero accounts for about 87 % of the total. The probability distributions of the exponent differences are concentrated on the value of 0.04. Then, we make a numerical test to prove the significance of the difference in exponents by shuffling the data records which have removed the seasonal cycle. The results show that the difference of scaling exponents between AGST and AAT is significant. Through the comparison and analysis of AGST and AAT, we find that AGST seems to be more sensitive to detect temperature persistence changes.
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Jiang, L., Li, N., Fu, Z. et al. Long-range correlation behaviors for the 0-cm average ground surface temperature and average air temperature over China. Theor Appl Climatol 119, 25–31 (2015). https://doi.org/10.1007/s00704-013-1080-0
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DOI: https://doi.org/10.1007/s00704-013-1080-0