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PALGLAC SIGNED

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

Total Cost €

0

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.

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

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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