Modelling Last Glacial Maximum ice cap with the Parallel Ice Sheet Model to infer palaeoclimate in south-west Turkey

Adem Candaş*, M. Akif Sarikaya, Oğuzhan Köse, Ömer L. Şen, Attila Çiner

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Makalebilirkişi

12 Atıf (Scopus)

Özet

Modelling palaeoglaciers in mountainous terrain is challenging due to the need for detailed ice flow computations in relatively narrow and steep valleys, high-resolution climate estimations, knowledge of pre-ice topography, and proxy-based palaeoclimate forcing. The Parallel Ice Sheet Model (PISM), a numerical model that approximates glacier sliding and deformation to simulate large ice sheets such as Greenland and Antarctica, was recently adapted to alpine environments. In an attempt to reconstruct the climate conditions during the Last Glacial Maximum (LGM) on Mount Dedegöl in SW Turkey, we used PISM and explored palaeoglacier dynamics at high spatial resolution (100 m) in a relatively small domain (225 km2). Palaeoice-flow fields were modelled as a function of present temperature and precipitation. Nine different palaeoclimate simulations were run to reach the steady-state glacier extents and the modelled glacial areas were compared with the field-based and chronologically well-established ice extents. Although our results provide a non-unique solution, best-fit scenarios indicate that the LGM climate on Mount Dedegöl was between 9.2 and 10.6 °C colder than today, while precipitation levels were the same as today. More humid (20% wetter) or arid (20% drier) conditions than today bring the palaeotemperature estimates to 7.7–8.8 or 11.5–13.2 °C lower than present, respectively.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)935-950
Sayfa sayısı16
DergiJournal of Quaternary Science
Hacim35
Basın numarası7
DOI'lar
Yayın durumuYayınlandı - 1 Eki 2020

Bibliyografik not

Publisher Copyright:
© 2020 John Wiley & Sons, Ltd.

Finansman

This work was supported by TÜBİTAK (The Scientific and Technological Research Council of Turkey) project No. 114Y548. Computing resources used in this work were provided by the National Center for High Performance Computing of Turkey (UHeM) under grant No. 4006452019. We thank Constantine Khroulev from Geophysical Institute, University of Alaska Fairbanks, for his help during the PISM model runs, and Naki Akçar and an anonymous reviewer for suggested improvements to the manuscript during the review processes.

FinansörlerFinansör numarası
National Center for High Performance Computing of Turkey
UHeM
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu114Y548

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