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.

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

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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