Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985831%3A_____%2F22%3A00560880" target="_blank" >RIV/67985831:_____/22:00560880 - isvavai.cz</a>

Alternative codes found

RIV/61389005:_____/22:00561714 RIV/60460709:41330/22:91621

Result on the web

<a href="https://www.mdpi.com/2073-4433/13/9/1345" target="_blank" >https://www.mdpi.com/2073-4433/13/9/1345</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/atmos13091345" target="_blank" >10.3390/atmos13091345</a>

Result language

angličtina

Original language name

Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust

Original language description

Icelandic topsoil sediments, as confirmed by numerous scientific studies, represent the largest and the most important European source of mineral dust. Strong winds, connected with the intensive cyclonic circulation in the North Atlantic, induce intense emissions of mineral dust from local sources all year and carry away these fine aerosol particles for thousands of kilometers. Various impacts of airborne mineral dust particles on local air quality, human health, transportation, climate and marine ecosystems motivated us to design a fully dynamic coupled atmosphere–dust numerical modelling system in order to simulate, predict and quantify the Icelandic mineral dust process including: local measurements and source specification over Iceland. In this study, we used the Dust Regional Atmospheric Model (DREAM) with improved Icelandic high resolution dust source specification and implemented spatially variable particle size distribution, variable snow cover and soil wetness. Three case studies of intense short- and long-range transport were selected to evaluate the model performance. Results demonstrated the model’s capability to forecast major transport features, such as timing, and horizontal and vertical distribution of the processes. This modelling system can be used as an operational forecasting system, but also as a reliable tool for assessing climate and environmental Icelandic dust impacts.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

<a href="/en/project/EF16_019%2F0000728" target="_blank" >EF16_019/0000728: Ultra-trace isotope research in social and environmental studies using accelerator mass spectrometry</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Atmosphere

ISSN

2073-4433

e-ISSN

2073-4433

Volume of the periodical

13

Issue of the periodical within the volume

9

Country of publishing house

CH - SWITZERLAND

Number of pages

29

Pages from-to

1345

UT code for WoS article

000857385200001

EID of the result in the Scopus database

2-s2.0-85138698530