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.

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

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.)

EngPTC2 (2019)

Exploring new technologies for the next generation pulse tube cryocooler below 2K

Read More  

DEF2DEV (2019)

Identification of the mode of action of plant defensins during root development and plant defense responses.

Read More  

PreSpeech (2018)

Predicting speech: what and when does the brain predict during language comprehension?

Read More