Opendata, web and dolomites

DUST.ES SIGNED

Addressing key uncertainties in mineral DUST EmiSsion modelling to better constrain the global dust cycle

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 DUST.ES project word cloud

Explore the words cloud of the DUST.ES project. It provides you a very rough idea of what is the project "DUST.ES" about.

semi    representing    hosts    natural    deficiencies    dominant    quantification    ubiquitous    contribution    models    longer    representation    es    beneficiary    data    estimate    prediction    africa    east    physics    potentially    haboobs    events    global    soil    types    resolution    middle    serious    lack    wmo    certain    cultivation    sectors    society    anthropogenic    public    previously    caused    hazard    origin    dust    meteorological    model    satellite    incomplete    north    arid    accurate    benefit    mineral    big    grazing    economy    emission    entrainment    aerodynamic    driving    maps    cornerstone    land    estimating    sources    least    environment    plays    storm    moist    emissions    load    countries    hampered    regional    intense    aerosol    mechanisms    quantifying    convective    injection    unrepresented    allowed    attribution    atmospheric    chemistry    skill    bsc    mechanism    health    sizeable    human    private    source    center    climate    significance    contributor    storms    day    relative    disturb   

Project "DUST.ES" data sheet

The following table provides information about the project.

Coordinator
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION 

Organization address
address: Calle Jordi Girona 31
city: BARCELONA
postcode: 8034
website: www.bsc.es

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 Spain [ES]
 Total cost 158˙121 €
 EC max contribution 158˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-11-01   to  2020-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) coordinator 158˙121.00

Map

 Project objective

Mineral dust emission is ubiquitous in arid and semi-arid areas, representing a serious hazard for health, environment, and economy in many countries, in particular some of the least developed. Dust is a dominant contributor to the global aerosol load and plays a significant role in different aspects of climate and atmospheric chemistry. A key uncertainty in estimating present-day dust emissions is the contribution of human activities such as cultivation and grazing that disturb the soil. Recent research allowed representing natural and anthropogenic dust sources in global models based on high-resolution satellite data and land use maps. However, the accurate quantification of dust emissions and their attribution to natural and anthropogenic origin is currently hampered by deficiencies in dust emission modelling. Deficiencies include an incomplete representation of the physics of dust emission and a lack of skill to model certain atmospheric processes driving dust emission. DUST.ES will constrain present-day global dust emissions for both source types (natural/anthropogenic) taking into account (1) aerodynamic entrainment, a potentially important, yet previously neglected dust emission mechanism; and (2) moist convective dust storms (haboobs), intense dust events, which are unrepresented in global models, but have a big impact on society. DUST.ES will estimate the regional and global relative significance of dust emissions caused by different dust emission mechanisms, meteorological dust injection processes, and source type. Results of DUST.ES will be a cornerstone to the longer-term goal of quantifying the effects of anthropogenic dust sources in the present and future climate. The beneficiary (BSC) hosts the WMO Dust Storm Prediction Regional Center for North Africa, Middle East and Europe, ensuring that the results have an immediate and sizeable benefit in several areas of public and private sectors across Europe and beyond.

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The information about "DUST.ES" are provided by the European Opendata Portal: CORDIS opendata.

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