Atmospheric temperature
; Random processes
; Global temperatures
; Hurst exponents
; Long-range memory
; Mathematical representations
; Medieval Warm Period
; Statistical bias
; Temperature differences
; Trend detection
; Time measurement
; amplitude
; error analysis
; instrumentation
; Little Ice Age
; mathematical analysis
; oscillation
; stochasticity
; surface temperature
; timescale
英文摘要:
The paper explores the hypothesis that the temporal global temperature response can be modeled as a long-range memory (LRM) stochastic process characterized by a Hurst exponent 0.5
Department of Mathematics and Statistics, University of Tromsø, Norway; Department of Physics and Technology, University of Tromsø, Norway
Recommended Citation:
Rypdal K.,Østvand L.,Rypdal M.. Long-range memory in Earth's surface temperature on time scales from months to centuries[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(13)