Golledge, Nicholas; Hubbard, Alun; Bradwell, Tom. 2010 Influence of seasonality on glacier mass balance, and implications for palaeoclimate reconstructions. Climate Dynamics, 35 (5). 757-770. 10.1007/s00382-009-0616-6
Abstract
Climates inferred from former glacier geometries
in some areas exhibit discrepancies with regional
palaeoclimates predicted by General Circulation Models
(GCMs) and modelling of palaeoecological data, possibly
as a consequence of their differing treatments of climatic
seasonality. Since glacier-based climate reconstructions
potentially offer an important tool in the calibration of
GCMs, which themselves need validation if used to predict
future climate scenarios, we attempt to resolve mismatches
between these techniques by (1) investigating the influence
of seasonality on glacier mass balance, and (2) refining the
methodology used for the derivation of glacier-based
palaeoclimates. Focussing on the Younger Dryas stadial
glaciation of Scotland, northeast Atlantic, we show that
sea-ice amplified seasonality led to a significantly drier
climate than has been suggested by glacier-based interpretations.
This was characterised by a relatively short
ablation season and the survival of a more substantial
winter snowpack. We suggest that if palaeoglaciological
studies were to account for changes in seasonal temperature
and precipitation variability, their results would agree
more closely with the cold, arid, northeast Atlantic palaeoenvironment
predicted by atmospheric modelling andClimates inferred from former glacier geometries
in some areas exhibit discrepancies with regional
palaeoclimates predicted by General Circulation Models
(GCMs) and modelling of palaeoecological data, possibly
as a consequence of their differing treatments of climatic
seasonality. Since glacier-based climate reconstructions
potentially offer an important tool in the calibration of
GCMs, which themselves need validation if used to predict
future climate scenarios, we attempt to resolve mismatches
between these techniques by (1) investigating the influence
of seasonality on glacier mass balance, and (2) refining the
methodology used for the derivation of glacier-based
palaeoclimates. Focussing on the Younger Dryas stadial
glaciation of Scotland, northeast Atlantic, we show that
sea-ice amplified seasonality led to a significantly drier
climate than has been suggested by glacier-based interpretations.
This was characterised by a relatively short
ablation season and the survival of a more substantial
winter snowpack. We suggest that if palaeoglaciological
studies were to account for changes in seasonal temperature
and precipitation variability, their results would agree
more closely with the cold, arid, northeast Atlantic palaeoenvironment
predicted by atmospheric modelling and Climates inferred from former glacier geometries
in some areas exhibit discrepancies with regional
palaeoclimates predicted by General Circulation Models
(GCMs) and modelling of palaeoecological data, possibly
as a consequence of their differing treatments of climatic
seasonality. Since glacier-based climate reconstructions
potentially offer an important tool in the calibration of
GCMs, which themselves need validation if used to predict
future climate scenarios, we attempt to resolve mismatches
between these techniques by (1) investigating the influence
of seasonality on glacier mass balance, and (2) refining the
methodology used for the derivation of glacier-based
palaeoclimates. Focussing on the Younger Dryas stadial
glaciation of Scotland, northeast Atlantic, we show that
sea-ice amplified seasonality led to a significantly drier
climate than has been suggested by glacier-based interpretations.
This was characterised by a relatively short
ablation season and the survival of a more substantial
winter snowpack. We suggest that if palaeoglaciological
studies were to account for changes in seasonal temperature
and precipitation variability, their results would agree
more closely with the cold, arid, northeast Atlantic palaeoenvironment
predicted by atmospheric modelling and northwest European pollen studies, and would therefore
provide more accurate constraints for GCM calibration.
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