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

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DUST.ES" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

STIMOS (2019)

Stimulation of Multiple Organoids Simultaneously

Read More  

MathematicsAnalogies (2019)

Mathematics Analogies

Read More  

Cartesian Networks (2020)

Cartesian Networks in Early Modern Europe: A Quantitative and Interdisciplinary Approach

Read More