Abstract
Comprehensive glacial Quaternary studies involving geochronological methods, modelling of ice topography with the support of field geomorphological and geological data in the Balkan Peninsula are relatively scarce, although there is evidence of past glaciations in several mountain ranges. Here, we present research on the extent and timing of past glaciations on the northern Velebit Mt. in coastal Croatia and inferences of the climate during that time. Based on geomorphological and sedimentological evidence and using cosmogenic 36Cl surface exposure dating of moraine boulders, we provide an empirical reconstruction of past glaciers and compare this with the Parallel Ice Sheet Model (PISM) simulations under different palaeoclimate forcings. The dating results show that the northern Velebit glaciers reached their maximum extent during the last glacial cycle before the global Last Glacial Maximum (LGM). Maximum ice extent likely correlates with Marine Isotope Stage 5–4, although the exact timing cannot be determined at this point due to poorly known site- and time-specific denudation rates. Empirical reconstruction of the maximum extent suggests that the area covered by glaciers was ~116 km2. The-best fit PISM simulation indicates that the most likely palaeoclimate scenario for the glaciers of this size to form is a cooling of ~8 °C and a 10% reduction in precipitation from present-day levels. However, the best-fit simulation does not correctly model all mapped ice margins when changes in climatological parameters are applied uniformly across the model domain, potentially reflecting a different palaeoprecipitation pattern to today.
Original language | English |
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Article number | 107918 |
Journal | Geomorphology |
Volume | 392 |
DOIs | |
Publication status | Published - 1 Nov 2021 |
Bibliographical note
Publisher Copyright:© 2021 The Authors
Funding
This work has received funding from the joint project between Scientific and Technological Research Council of Turkey (TÜBİTAK project # 118Y052 ) and Slovenian Research Agency (ARRS project BI-TR/18-21-003 ), from the ARRS project J1-2479 funded by the Slovenian Research Agency and from the project IP-2014-09-9666 funded by the Croatian Science Foundation . We acknowledge financial support from the Australian Government for the Centre for Accelerator Science at ANSTO through the National Collaborative Research Infrastructure Strategy (NCRIS). Computing resources used in this work were provided by the National Center for High Performance Computing of Turkey (UHeM). We thank Melita Perčec Tadić, Petra Mikuš Jurković and Croatian Meteorological and Hydrological Service for providing gridded climate dataset. We also gratefully acknowledge the comments and suggestions of an anonymous referee, which resulted in a significantly improved manuscript. This work has received funding from the joint project between Scientific and Technological Research Council of Turkey (TÜBİTAK project #118Y052) and Slovenian Research Agency (ARRS project BI-TR/18-21-003), from the ARRS project J1-2479 funded by the Slovenian Research Agency and from the project IP-2014-09-9666 funded by the Croatian Science Foundation. We acknowledge financial support from the Australian Government for the Centre for Accelerator Science at ANSTO through the National Collaborative Research Infrastructure Strategy (NCRIS). Computing resources used in this work were provided by the National Center for High Performance Computing of Turkey (UHeM). We thank Melita Perčec Tadić, Petra Mikuš Jurković and Croatian Meteorological and Hydrological Service for providing gridded climate dataset. We also gratefully acknowledge the comments and suggestions of an anonymous referee, which resulted in a significantly improved manuscript.
Funders | Funder number |
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National Center for High Performance Computing of Turkey | |
Australian Government | |
Javna Agencija za Raziskovalno Dejavnost RS | IP-2014-09-9666, J1-2479, BI-TR/18-21-003 |
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu | 118Y052 |
Hrvatska Zaklada za Znanost |
Keywords
- Cosmogenic isotopes
- Dinarides
- Glacial geomorphology
- PISM
- Pleistocene