Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3402/tellusb.v67.24410 |
Seasonal patterns of Saharan dust over Cape Verde - a combined approach using observations and modelling | |
Gama, Carla1; Tchepel, Oxana2; Maria Baldasano, Jose3,4; Basart, Sara3; Ferreira, Joana1; Pio, Casimiro1; Cardoso, Joao1,5; Borrego, Carlos1 | |
通讯作者 | Gama, Carla |
来源期刊 | TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY
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ISSN | 1600-0889 |
出版年 | 2015 |
卷号 | 67 |
英文摘要 | 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. |
英文关键词 | desert dust modelling PM measurements Saharan and Sahelian dust Cape Verde Islands |
类型 | Article |
语种 | 英语 |
国家 | Portugal ; Spain ; Cape Verde |
收录类别 | SCI-E |
WOS记录号 | WOS:000349411900001 |
WOS关键词 | LONG-RANGE TRANSPORT ; CONVECTIVE ADJUSTMENT SCHEME ; MINERAL DUST ; AFRICAN DUST ; SIZE DISTRIBUTION ; CHEMICAL-COMPOSITION ; ATMOSPHERIC AEROSOL ; MEDITERRANEAN BASIN ; HYGROSCOPIC GROWTH ; OPTICAL-PROPERTIES |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/190616 |
作者单位 | 1.Univ Aveiro, CESAM, Dept Environm & Planning, P-3800 Aveiro, Portugal; 2.Univ Coimbra, CITTA, Dept Civil Engn, Coimbra, Portugal; 3.Barcelona Supercomp Ctr, Div Earth Sci, Barcelona, Spain; 4.Tech Univ Catalonia, Environm Modelling Lab, Barcelona, Spain; 5.Univ Cape Verde, Dept Sci & Technol, Praia, Cape Verde |
推荐引用方式 GB/T 7714 | Gama, Carla,Tchepel, Oxana,Maria Baldasano, Jose,et al. Seasonal patterns of Saharan dust over Cape Verde - a combined approach using observations and modelling[J],2015,67. |
APA | Gama, Carla.,Tchepel, Oxana.,Maria Baldasano, Jose.,Basart, Sara.,Ferreira, Joana.,...&Borrego, Carlos.(2015).Seasonal patterns of Saharan dust over Cape Verde - a combined approach using observations and modelling.TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY,67. |
MLA | Gama, Carla,et al."Seasonal patterns of Saharan dust over Cape Verde - a combined approach using observations and modelling".TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY 67(2015). |
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