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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.

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

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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