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title Seasonal patterns of Saharan dust over Cape Verde - a combined approach using observations and modelling
authors Gama, C; Tchepel, O; Baldasano, JM; Basart, S; Ferreira, J; Pio, C; Cardoso, J; Borrego, C
author full name Gama, Carla; Tchepel, Oxana; Maria Baldasano, Jose; Basart, Sara; Ferreira, Joana; Pio, Casimiro; Cardoso, Joao; Borrego, Carlos
title Seasonal patterns of Saharan dust over Cape Verde - a combined approach using observations and modelling
nationality internacional
source TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY
language English
document type Article
author keywords desert dust modelling; PM measurements; Saharan and Sahelian dust; Cape Verde Islands
keywords plus LONG-RANGE TRANSPORT; CONVECTIVE ADJUSTMENT SCHEME; MINERAL DUST; AFRICAN DUST; DESERT DUST; SIZE DISTRIBUTION; AEROSOL CHARACTERIZATION; CHEMICAL-COMPOSITION; ATMOSPHERIC AEROSOL; MEDITERRANEAN BASIN
abstract A characterisation of the dust transported from North Africa deserts to the Cape Verde Islands, including particle size distribution, concentrations and optical properties, for a complete annual cycle (the year 2011), is presented and discussed. The present analysis includes annual simulations of the BSC-DREAM8b and the NMMB/BSC-Dust models, 1-yr of surface aerosol measurements performed within the scope of the CV-DUST Project, AERONET direct-sun observations, and back-trajectories. Aseasonal intrusion of dust from North West Africa affects Cape Verde at surface levels from October till March when atmospheric concentrations in Praia are very high (PM10 observed concentrations reach hourly values up to 710 mu g/m(3)). The air masses responsible for the highest aerosol concentrations in Cape Verde describe a path over the central Saharan desert area in Algeria, Mali and Mauritania before reaching the Atlantic Ocean. During summer, dust from North Africa is transported towards the region at higher altitudes, yielding to high aerosol optical depths. The BSC-DREAM8b and the NMMB/BSC-Dust models, which are for the first time evaluated for surface concentration and size distribution in Africa for an annual cycle, are able to reproduce the majority of the dust episodes. Results from NMMB/BSC-Dust are in better agreement with observed particulate matter concentrations and aerosol optical depth throughout the year. For this model, the comparison between observed and modelled PM10 daily averaged concentrations yielded a correlation coefficient of 0.77 and a 29.0 mu g/m(3) 'bias', while for BSC-DREAM8b the correlation coefficient was 0.63 and 'bias' 32.9 mu g/m(3). From this value, 12-14 mu g/m(3) is due to the sea salt contribution, which is not considered by the model. In addition, the model does not take into account biomass-burning particles, secondary pollutants and local sources (i.e., resuspension). These results roughly allow for the establishment of a yearly contribution of 42% of dust from North African deserts for PM10 levels observed in Cape Verde.
author address [Gama, Carla; Ferreira, Joana; Pio, Casimiro; Cardoso, Joao; Borrego, Carlos] Univ Aveiro, CESAM, Dept Environm & Planning, P-3800 Aveiro, Portugal; [Tchepel, Oxana] Univ Coimbra, CITTA, Dept Civil Engn, Coimbra, Portugal; [Maria Baldasano, Jose; Basart, Sara] Barcelona Supercomp Ctr, Div Earth Sci, Barcelona, Spain; [Maria Baldasano, Jose] Tech Univ Catalonia, Environm Modelling Lab, Barcelona, Spain; [Cardoso, Joao] Univ Cape Verde, Dept Sci & Technol, Praia, Cape Verde
reprint address Gama, C (reprint author), Univ Aveiro, CESAM, Dept Environm & Planning, P-3800 Aveiro, Portugal.
e-mail address carlagama@ua.pt
funding agency and grant number Portuguese FCT through the CV-DUST Project [PTDC/AAC-CLI/100331/2008, SFRH/BD/87468/2012, SFRH/BPD/40620/2007]; CICYT project [CGL2010-19652, CGL2013-46736]; 'Supercomputacion and e-ciencia' project from the Consolider-Ingenio programme [CSD2007-0050]; Severo Ochoa programme of the Spanish Government [SEV-2011-00067]
funding text This work was supported by the Portuguese FCT through the CV-DUST Project (PTDC/AAC-CLI/100331/2008), the PhD fellowship of C. Gama (SFRH/BD/87468/2012) and the Post-Doctoral fellowship of J. Ferreira (SFRH/BPD/40620/2007). J.M. Baldasano and S. Basart acknowledge the CICYT project (CGL2010-19652 and CGL2013-46736), the 'Supercomputacion and e-ciencia' project (CSD2007-0050) from the Consolider-Ingenio 2010 programme and Severo Ochoa (SEV-2011-00067) programme of the Spanish Government. The authors gratefully acknowledge the NOAA Air Resources Laboratory (ARL) for the provision of the HYSPLIT transport and dispersion model and the READY website (http://www.arl.noaa.gov/ready.html) from which the meteorological data have been downloaded and used to force HYSPLIT, as well as Didier Tanri for his effort in establishing and maintaining Capo Verde AERONET site. BSC-DREAM8b and NMMB/BSC-Dust simulations were performed on the Mare Nostrum super-computer hosted by Barcelona Supercomputing Center-Centro Nacional de Supercomputacion (BSC-CNS).
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cited reference count 102
publisher CO-ACTION PUBLISHING
publisher city JARFALLA
publisher address RIPVAGEN 7, JARFALLA, SE-175 64, SWEDEN
issn 0280-6509
29-character source abbreviation TELLUS B
iso source abbreviation Tellus Ser. B-Chem. Phys. Meteorol.
year published 2015
volume 67
article number 24410
digital object identifier (doi) 10.3402/tellusb.v67.24410
page count 21
web of science category Meteorology & Atmospheric Sciences
subject category Meteorology & Atmospheric Sciences
document delivery number CB1TW
unique article identifier WOS:000349411900001
link http://dx.doi.org/10.3402/tellusb.v67.24410