Global mean land and sea surface temperature (LSST) anomalies were analysed statistically with detrended fluctuation analysis (DFA), for the period from January 1850 to August 2008, for both hemispheres, individually. Persistent long-range power-law correlations were revealed within the time series of the LSST anomalies, for all time lags between 4 months and 39 years. In addition, the derived 'long memory' in the time series of the LSST anomalies was examined to determine whether they are derived from their time evolution or from the distribution of their own values. The results obtained could be taken into consideration for the prediction of basic climate variables through the use of future climate modelling.</p
Scaling behavior of the monthly global mean sea surface temperature (SST) anomalies from Kaplan SST ...
We used detrended methods for scaling analysis (DFA2 and DMA) and wavelet transform spectral analysi...
Global-mean surface temperature is affected by both natural variability and anthropogenic forcing. T...
Global mean land and sea surface temperature (LSST) anomalies were analysed statistically with detre...
We have recently suggested “long-term memory” or internal long-range correlation within the time-ser...
The annual and the monthly mean values of the land-surface air temperature anomalies from 1880-2011,...
Scaling behaviors of the global monthly sea surface temperature (SST) derived from 1870-2009 average...
The first evidence of asymmetric upward and downward persistence in the global sea surface temperatu...
We present global fields of decadal annual surface temperature anomalies, referred to the period 195...
Quantifying global trends and variability in sea surface temperature (SST) is of fundamental importa...
We present the first analysis of global and hemispheric surface warming trends that attempts to quan...
This study originated from recent results reported in literature, which support the existence of lon...
The objective of this paper is to utilize images of spatial and temporal fluctuations of temperature...
Various interpretations of the notion of a trend in the context of global warming are discussed, con...
Abstract. In this study, low-frequency variations in tem-perature anomaly are investigated by mappin...
Scaling behavior of the monthly global mean sea surface temperature (SST) anomalies from Kaplan SST ...
We used detrended methods for scaling analysis (DFA2 and DMA) and wavelet transform spectral analysi...
Global-mean surface temperature is affected by both natural variability and anthropogenic forcing. T...
Global mean land and sea surface temperature (LSST) anomalies were analysed statistically with detre...
We have recently suggested “long-term memory” or internal long-range correlation within the time-ser...
The annual and the monthly mean values of the land-surface air temperature anomalies from 1880-2011,...
Scaling behaviors of the global monthly sea surface temperature (SST) derived from 1870-2009 average...
The first evidence of asymmetric upward and downward persistence in the global sea surface temperatu...
We present global fields of decadal annual surface temperature anomalies, referred to the period 195...
Quantifying global trends and variability in sea surface temperature (SST) is of fundamental importa...
We present the first analysis of global and hemispheric surface warming trends that attempts to quan...
This study originated from recent results reported in literature, which support the existence of lon...
The objective of this paper is to utilize images of spatial and temporal fluctuations of temperature...
Various interpretations of the notion of a trend in the context of global warming are discussed, con...
Abstract. In this study, low-frequency variations in tem-perature anomaly are investigated by mappin...
Scaling behavior of the monthly global mean sea surface temperature (SST) anomalies from Kaplan SST ...
We used detrended methods for scaling analysis (DFA2 and DMA) and wavelet transform spectral analysi...
Global-mean surface temperature is affected by both natural variability and anthropogenic forcing. T...