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PALGLAC SIGNED

Palaeoglaciological advances to understand Earth’s ice sheets by landform analysis

Total Cost €

EC-Contrib. €

Partnership

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PALGLAC project word cloud

Explore the words cloud of the PALGLAC project. It provides you a very rough idea of what is the project "PALGLAC" about.

landform forecasting spin oceans dynamics sunlight ice 1000s geochronology landforms outcomes masses away implications temperatures flow greenland techniques numerical habitation skill earth human geomorphological glacial inadequately warming revolutionise physical retreat forecast interact optimise palaeo actual thickness reducing glaciological deficiencies geological hydrological subglacial realism sea predict base longer encapsulated glaciologists environments caveats highlight campaign forecasts modelled vastly breakthroughs reflecting combine suitable timescales machine focussing sheets networks models pioneering palaeoglaciology former formulations coding learning wp3 extensive trialling leap climate last mapping regulate sheet wp4 antarctic inversions data weather combining records velocity resolution made wp2 computational

Project "PALGLAC" data sheet

The following table provides information about the project.

Coordinator	THE UNIVERSITY OF SHEFFIELD Organization address address: FIRTH COURT WESTERN BANK city: SHEFFIELD postcode: S10 2TN website: www.shef.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Total cost	2˙425˙298 €
EC max contribution	2˙425˙298 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2017-ADG
Funding Scheme	ERC-ADG
Starting year	2018
Duration (year-month-day)	from 2018-10-01 to 2023-09-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	THE UNIVERSITY OF SHEFFIELD THE UNIVERSITY OF SHEFFIELD Organization address address: FIRTH COURT WESTERN BANK city: SHEFFIELD postcode: S10 2TN website: www.shef.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (SHEFFIELD)	coordinator	2˙425˙298.00

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Project objective

Ice sheets regulate Earth’s climate by reflecting sunlight away, enabling suitable temperatures for human habitation. Warming is reducing these ice masses and raising sea level. Glaciologists predict ice loss using computational ice sheet models which interact with climate and oceans, but with caveats that highlight processes are inadequately encapsulated. Weather forecasting made a leap in skill by comparing modelled forecasts with actual outcomes to improve physical realism of their models. This project sets out an ambitious programme to adopt this data-modelling approach in ice sheet modelling. Given their longer timescales (100-1000s years) we will use geological and geomorphological records of former ice sheets to provide the evidence; the rapidly growing field of palaeoglaciology.

Focussing on the most numerous and spatially-extensive records of palaeo ice sheet activity - glacial landforms - the project aims to revolutionise understanding of past, present and future ice sheets. Our mapping campaign (Work-Package 1), including by machine learning techniques (WP2), should vastly increase the evidence-base. Resolution of how subglacial landforms are generated and how hydrological networks develop (WP3) would be major breakthroughs leading to possible inversions to information on ice thickness or velocity, and with key implications for ice flow models and hydrological effects on ice dynamics. By pioneering techniques and coding for combining ice sheet models with landform data (WP4) we will improve knowledge of the role of palaeo-ice sheets in Earth system change. Trialling of numerical models in these data-rich environments will highlight deficiencies in process-formulations, leading to better models. Applying our coding to combine landforms and geochronology to optimise modelling (WP4) of the retreat of the Greenland and Antarctic ice sheets since the last glacial will provide ‘spin up’ glaciological conditions for models that forecast sea level rise.

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The information about "PALGLAC" are provided by the European Opendata Portal: CORDIS opendata.