DataSheet1_Modelled sensitivity of Monte San Lorenzo ice cap, Patagonian Andes, to past and present climate.pdf
Sparse measurements of glacier mass balance, velocity and ice thickness in Patagonia challenge our ability to understand glacier sensitivity to climate change and relate past glacier fluctuations to palaeoclimate change. Small ice caps, such as Monte San Lorenzo, have short response times and high c...
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ftfrontimediafig:oai:figshare.com:article/21268326 2023-05-15T16:38:03+02:00 DataSheet1_Modelled sensitivity of Monte San Lorenzo ice cap, Patagonian Andes, to past and present climate.pdf Julian Martin Bethan J. Davies Richard Jones Varyl Thorndycraft 2022-10-04T05:18:24Z https://doi.org/10.3389/feart.2022.831631.s001 https://figshare.com/articles/dataset/DataSheet1_Modelled_sensitivity_of_Monte_San_Lorenzo_ice_cap_Patagonian_Andes_to_past_and_present_climate_pdf/21268326 unknown doi:10.3389/feart.2022.831631.s001 https://figshare.com/articles/dataset/DataSheet1_Modelled_sensitivity_of_Monte_San_Lorenzo_ice_cap_Patagonian_Andes_to_past_and_present_climate_pdf/21268326 CC BY 4.0 CC-BY Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change Patagonia glaciers and climate modelling PISM palaeoclimate Dataset 2022 ftfrontimediafig https://doi.org/10.3389/feart.2022.831631.s001 2022-10-05T23:06:55Z Sparse measurements of glacier mass balance, velocity and ice thickness in Patagonia challenge our ability to understand glacier sensitivity to climate change and relate past glacier fluctuations to palaeoclimate change. Small ice caps, such as Monte San Lorenzo, have short response times and high climate sensitivity, making well-dated moraines in their glacier foregrounds an important tool for exploring glacier response to rapid changes in palaeoclimate. Here, the Parallel Ice Sheet Model (PISM) is used to model ice flow across a domain centred on the Monte San Lorenzo ice cap. Ice-flow parameters are calibrated to match present-day ice extent, velocity and thickness. Our aim is, firstly, to quantify present-day physical glacier properties, and ice cap dynamics and sensitivities, and secondarily, to evaluate the controls on the deglaciation of the ice cap within the context of the Southern Hemisphere palaeoclimate system during the Last Glacial-Interglacial Transition (LGIT). The simulated present-day ice cap shows high surface mass flux, with ablation at outlet glacier tongues up to 18 m w. e. a −1 , accumulation at the highest elevations of up to 5.5 m w. e. a −1 and a simulated Equilibrium Line Altitude (ELA) of 1750–2000 m asl. The ice cap is more sensitive to changes in precipitation relative to changes in temperature. We provide envelopes with likely ranges of palaeotemperature and palaeoprecipitation for glacial advances to moraines formed during the Last Glacial-Interglacial Transition and Holocene. Our numerical model predicts that cooling and an increase in precipitation is required to force glacial advance to mapped moraine limits at 12.1 ka (2°C cooler, 50% more precipitation), 5.6 ka (0°C cooler, 50% more precipitation) and 0.2 ka (1°C cooler, 25% more precipitation). Our modelling results thus provide insights into the present-day mass balance, thermal regime and velocity of the ice cap, explores the sensitivities of this ice cap to various model and climatic parameters, and provide palaeoclimatic ... Dataset Ice cap Ice Sheet Frontiers: Figshare Ela ENVELOPE(9.642,9.642,63.170,63.170) Patagonia |
institution |
Open Polar |
collection |
Frontiers: Figshare |
op_collection_id |
ftfrontimediafig |
language |
unknown |
topic |
Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change Patagonia glaciers and climate modelling PISM palaeoclimate |
spellingShingle |
Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change Patagonia glaciers and climate modelling PISM palaeoclimate Julian Martin Bethan J. Davies Richard Jones Varyl Thorndycraft DataSheet1_Modelled sensitivity of Monte San Lorenzo ice cap, Patagonian Andes, to past and present climate.pdf |
topic_facet |
Solid Earth Sciences Climate Science Atmospheric Sciences not elsewhere classified Exploration Geochemistry Inorganic Geochemistry Isotope Geochemistry Organic Geochemistry Geochemistry not elsewhere classified Igneous and Metamorphic Petrology Ore Deposit Petrology Palaeontology (incl. Palynology) Structural Geology Tectonics Volcanology Geology not elsewhere classified Seismology and Seismic Exploration Glaciology Hydrogeology Natural Hazards Quaternary Environments Earth Sciences not elsewhere classified Evolutionary Impacts of Climate Change Patagonia glaciers and climate modelling PISM palaeoclimate |
description |
Sparse measurements of glacier mass balance, velocity and ice thickness in Patagonia challenge our ability to understand glacier sensitivity to climate change and relate past glacier fluctuations to palaeoclimate change. Small ice caps, such as Monte San Lorenzo, have short response times and high climate sensitivity, making well-dated moraines in their glacier foregrounds an important tool for exploring glacier response to rapid changes in palaeoclimate. Here, the Parallel Ice Sheet Model (PISM) is used to model ice flow across a domain centred on the Monte San Lorenzo ice cap. Ice-flow parameters are calibrated to match present-day ice extent, velocity and thickness. Our aim is, firstly, to quantify present-day physical glacier properties, and ice cap dynamics and sensitivities, and secondarily, to evaluate the controls on the deglaciation of the ice cap within the context of the Southern Hemisphere palaeoclimate system during the Last Glacial-Interglacial Transition (LGIT). The simulated present-day ice cap shows high surface mass flux, with ablation at outlet glacier tongues up to 18 m w. e. a −1 , accumulation at the highest elevations of up to 5.5 m w. e. a −1 and a simulated Equilibrium Line Altitude (ELA) of 1750–2000 m asl. The ice cap is more sensitive to changes in precipitation relative to changes in temperature. We provide envelopes with likely ranges of palaeotemperature and palaeoprecipitation for glacial advances to moraines formed during the Last Glacial-Interglacial Transition and Holocene. Our numerical model predicts that cooling and an increase in precipitation is required to force glacial advance to mapped moraine limits at 12.1 ka (2°C cooler, 50% more precipitation), 5.6 ka (0°C cooler, 50% more precipitation) and 0.2 ka (1°C cooler, 25% more precipitation). Our modelling results thus provide insights into the present-day mass balance, thermal regime and velocity of the ice cap, explores the sensitivities of this ice cap to various model and climatic parameters, and provide palaeoclimatic ... |
format |
Dataset |
author |
Julian Martin Bethan J. Davies Richard Jones Varyl Thorndycraft |
author_facet |
Julian Martin Bethan J. Davies Richard Jones Varyl Thorndycraft |
author_sort |
Julian Martin |
title |
DataSheet1_Modelled sensitivity of Monte San Lorenzo ice cap, Patagonian Andes, to past and present climate.pdf |
title_short |
DataSheet1_Modelled sensitivity of Monte San Lorenzo ice cap, Patagonian Andes, to past and present climate.pdf |
title_full |
DataSheet1_Modelled sensitivity of Monte San Lorenzo ice cap, Patagonian Andes, to past and present climate.pdf |
title_fullStr |
DataSheet1_Modelled sensitivity of Monte San Lorenzo ice cap, Patagonian Andes, to past and present climate.pdf |
title_full_unstemmed |
DataSheet1_Modelled sensitivity of Monte San Lorenzo ice cap, Patagonian Andes, to past and present climate.pdf |
title_sort |
datasheet1_modelled sensitivity of monte san lorenzo ice cap, patagonian andes, to past and present climate.pdf |
publishDate |
2022 |
url |
https://doi.org/10.3389/feart.2022.831631.s001 https://figshare.com/articles/dataset/DataSheet1_Modelled_sensitivity_of_Monte_San_Lorenzo_ice_cap_Patagonian_Andes_to_past_and_present_climate_pdf/21268326 |
long_lat |
ENVELOPE(9.642,9.642,63.170,63.170) |
geographic |
Ela Patagonia |
geographic_facet |
Ela Patagonia |
genre |
Ice cap Ice Sheet |
genre_facet |
Ice cap Ice Sheet |
op_relation |
doi:10.3389/feart.2022.831631.s001 https://figshare.com/articles/dataset/DataSheet1_Modelled_sensitivity_of_Monte_San_Lorenzo_ice_cap_Patagonian_Andes_to_past_and_present_climate_pdf/21268326 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3389/feart.2022.831631.s001 |
_version_ |
1766028342288449536 |