Milankovitch frequencies have been documented also in
numerous other historic records, such as those derived
from ice cores in Antarctica and long lake sediment cores.
Milankovitch frequencies can be extrapolated into the
future, which raised the possibility of the predictability
of future climate change (Thiede and Tiedemann, 1998).
The paper of Berger (2012) represents a modern perspective of the Milankovitch frequencies (cf. also Berger, this
volume).
Climate Modeling: Paleoceanograhic studies provide
indispensable data for paleoceanographic and paleoclimatological modeling (cf. Sündermann, this volume), both as
boundary conditions to run the models as well as for their
validation. The first true global data set which could be
used as input parameters for modeling glacial climates
(Herterich et al., 1999) has been produced by CLIMAP
(Climate: Long-range Investigation and Prediction), a
large paleoclimatic research project in the USA
(CLIMAP Project Members, 1976). Since that time available models (GCMs) developed by various institutions
(NCAR, Boulder/US; MPI Meterology in Hamburg;
Hadley Center – Met Office/UK, to name a few) have all
delivered their own modeling approaches aiming to model
various compartments of the global environment (e.g.,
like the ECHAM model series in Hamburg). For a more
detailed discussion see Paleoclimte Modelling
Intercomparison Project (http://pmip.lsce.ipsl.fr/). Many
of these efforts of generating past oceanographic and climatic scenarios are trying to understand through the
reconstruction of the past, how the future oceans might
behave, e.g., with a seasonally ice-free Arctic Ocean
which would affect the entire northern hemisphere.
Summary
Paleoceanography is fed by data sets from the only truly
global climate archive, namely ocean sediments. It has
developed from modest beginnings during the early
1960s (prior to the onset of deep-sea drilling) to a highly
sophisticated discipline of the marine geosciences. And
it provides quantitative reconstructions of former global
climates as boundary conditions for modeling climates
with no modern analogue.
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