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

Total Cost €


EC-Contrib. €






 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.

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

Project "PALGLAC" data sheet

The following table provides information about the project.


Organization address
postcode: S10 2TN

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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF SHEFFIELD UK (SHEFFIELD) coordinator 2˙425˙298.00


 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.

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