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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.

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

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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