NG41A-3730:
Scaling Properties of Climate Variability as Reconstructed from Different Paleo-Indicators : an Analysis of Holocene Time Series Based on Haar Fluctuations
Abstract:
Holocene climate changes in Arctic and subarctic areas were investigated usingtime series resulting from the analyses of different biological indicators in marine
(dinocysts, foraminifers, alkenones) and lake (pollen, chironomids, diatoms)
sediment cores (see compilation by Sundqvist et al. Climate of the Past, 2014).
These indicators were used to reconstruct climate-related parameters such as
temperatures, precipitation, salinity and/or sea-ice cover. Dinocyst, foraminifer
and pollen series were usually calibrated with the Modern Analogue Technique
(MAT) whereas those from chironomids and diatoms mainly used the Weighted Average Partial
Least Square (WAPLS) calibration approach. Hence, the available times series used to document long
term climate changes are heterogeneous since they are based on different indicators
and different reconstruction methods.
In order to document the climate variability captured by the time series, we have
analyzed the scaling behavior of Holocene records (last 12,000 years) by the mean
of the Haar fluctuations (for a given time interval, these are simply the differences
between the means of the first and second halves of the interval). Over various
ranges of time scale, they can be characterized by exponents H (e.g. [Lovejoy and
Schertzer, 2012]). When H<0, fluctuations tend to cancel, the series appears
“stable”, averaging fluctuations over longer and longer intervals typically yields
smaller values. When H>0 on the contrary, fluctuations tend to grow with larger time
intervals as the series “wanders” like a drunkard’s walk, i.e. it appears “unstable”. We
show how to perform the analyses in a robust fashion, avoiding biases due to
irregular sampling and/or variable temporal resolutions. On this basis, we
were able to evaluate whether the signals of different paleo-indicators for the
same location converge at low frequency, or whether they diverge. Even when
considering the same core, different indicators sometimes yield diverging signals. This
suggests variations which could be due to methods of reconstruction or to the
climatic signal recorded by the indicators. Despite divergences in some of the regional
records, results consistently show that signals from marine cores tend to be
more stable than those from continental environments.