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PALGLAC SIGNED

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

Total Cost €

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EC-Contrib. €

0

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.

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

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 UK (SHEFFIELD) coordinator 2˙425˙298.00

Map

 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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