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@article{Mateos2026,

title = {Saharan and Arabian dust optical properties registered by sun photometry during A-LIFE field experiment in Cyprus},

author = {D. Mateos and C. Toledano and A. Calle and R. Román and M. Herreras-Giralda and R. González and S. Herrero-Anta and D. González-Fernández and C. Herrero-del Barrio and A. Nisantzi and R. E. Mamouri and S. Groß and V. E. Cachorro and Á. M. Frutos and B. Weinzierl},

url = {https://acp.copernicus.org/articles/26/1993/2026/},

doi = {10.5194/acp-26-1993-2026},

year  = {2026},

date = {2026-02-09},

urldate = {2026-01-01},

journal = {Atmospheric Chemistry and Physics},

volume = {26},

number = {3},

pages = {1993–2005},

keywords = {A-LIFE, aerosol optical properties, columnar optical properties, desert dust, sun photometry},

pubstate = {published},

tppubtype = {article}

}

@article{Mateos2020b,

title = {Comparison of three different methodologies for the identification of high atmospheric turbidity episodes},

author = {D. Mateos and V.E. Cachorro and C. Velasco-Merino and N.T. O'Neill and M.A. Burgos and R. Gonzalez and C. Toledano and M. Herreras and A. Calle and A.M. de Frutos},

doi = { 10.1016/j.atmosres.2019.104835},

year  = {2020},

date = {2020-06-01},

journal = {Atmospheric Research},

pages = {104835},

publisher = {Elsevier},

keywords = {Biomass burning urban industrial, Coarse and fine modes, Columnar and surface aerosols, desert dust, High turbidity episodes},

pubstate = {published},

tppubtype = {article}

}

@article{euphrasie2020assessment,

title = {Assessment of a new detection threshold for PM10 concentrations linked to African dust events in the Caribbean Basin},

author = {Lovely Euphrasie-Clotilde and Thomas Plocoste and Tony Feuillard and Cristian Velasco-Merino and David Mateos and Carlos Toledano and France-Nor Brute and Céline Bassette and Marieline Gobinddass},

doi = {10.1016/j.atmosenv.2020.117354},

year  = {2020},

date = {2020-03-01},

journal = {Atmospheric Environment},

pages = {117354},

publisher = {Elsevier},

keywords = {aerosol optical depth, Air mass back trajectories, air quality index, Caribbean area, desert dust, PM10 threshold},

pubstate = {published},

tppubtype = {article}

}

@article{MATEOS2020104835,

title = {Comparison of three different methodologies for the identification of high atmospheric turbidity episodes},

author = {D Mateos and V E Cachorro and C Velasco-Merino and N T O'Neill and M A Burgos and R Gonzalez and C Toledano and M Herreras and A Calle and A M de Frutos},

url = {http://www.sciencedirect.com/science/article/pii/S0169809519309792},

doi = {https://doi.org/10.1016/j.atmosres.2019.104835},

issn = {0169-8095},

year  = {2020},

date = {2020-01-01},

volume = {237},

pages = {104835},

abstract = {The identification and characterization of High Atmospheric Turbidity (HAT) episodes is a key objective of global aerosol monitoring. This study presents a comparison of three different methodologies that were used to identify HAT episodes in the north-central Iberian Peninsula. The first methodology (named C&S inventory) is based on columnar aerosol optical depth (AOD from the Aerosol Robotic Network, AERONET) and surface particulate matter concentrations (PMx from the European Monitoring and Evaluation Programme, EMEP) as well as ancillary information. Another methodology (named SPR) is based on PM surface concentrations levels and ancillary information. Both methods are carefully reviewed by human observers. A third method, based only on fine and coarse mode values of AOD was also analysed. This method (the SDA or Spectral Deconvolution Algorithm) is found to be a good operational candidate for automating the identification of HAT episodes. The three methods allow for the identification of mineral desert dust (coarse type ‘D’) aerosols and aerosols of fine type, ‘A’ (i.e. biomass burning or polluted aerosols): their mixture, categorized as ‘MD’ and ‘MA’ classes (depending of the prevailing ‘D’ or ‘A’ type) is only identified in the C&S and SDA inventories. The three inventories show about 60% coincidence across a 2005–2014 reference period. When the C&S and SDA inventories are compared, the agreement is very high if columnar aerosol data is available: >90% for desert aerosol type and >70% for fine aerosol type. The comparative study of these three aerosol inventories was motivated by the need to automate existing methodologies.},

keywords = {Biomass burning urban industrial, Coarse and fine modes, Columnar and surface aerosols, desert dust, High turbidity episodes},

pubstate = {published},

tppubtype = {article}

}

@article{Weinzierl2017BAMS,

title = {The Saharan aerosol long-range transport and aerosol-cloud-interaction experiment: Overview and selected highlights},

author = {B. Weinzierl, A. Ansmann, J.M. Prospero, D. Althausen, N. Benker, F. Chouza, M. Dollner, D. Farrell, W.K. Fomba, V. Freudenthaler, J. Gasteiger, S. Groß, M. Haarig, B. Heinold, K. Kandler, T.B. Kristensen, O.L. Mayol-Bracero, T. Müller, O. Reitebuch, D. Sauer, A. Schäfler, K. Schepanski, A. Spanu, I. Tegen, C. Toledano, A. Walser},

doi = {DOI: 10.1175/BAMS-D-15-00142.1 },

year  = {2017},

date = {2017-01-01},

journal = {Bulletin of the American Meteorological Society},

volume = {98},

number = {7},

pages = {1427-1451},

keywords = {desert dust},

pubstate = {published},

tppubtype = {article}

}