Articles | Volume 16, issue 13
https://doi.org/10.5194/acp-16-8609-2016
https://doi.org/10.5194/acp-16-8609-2016
Research article
 | 
15 Jul 2016
Research article |  | 15 Jul 2016

Mediterranean intense desert dust outbreaks and their vertical structure based on remote sensing data

Antonis Gkikas, Sara Basart, Nikos Hatzianastassiou, Eleni Marinou, Vassilis Amiridis, Stelios Kazadzis, Jorge Pey, Xavier Querol, Oriol Jorba, Santiago Gassó, and José Maria Baldasano

Related authors

Quantifying Dust Deposition over the Atlantic Ocean
Emmanouil Proestakis, Vassilis Amiridis, Carlos Pérez García-Pando, Svetlana Tsyro, Jan Griesfeller, Antonis Gkikas, Thanasis Georgiou, María Gonçalves Ageitos, Jeronimo Escribano, Stelios Myriokefalitakis, Elisa Bergas Masso, Enza Di Tomaso, Sara Basart, Jan-Berend W. Stuut, and Angela Benedetti
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-43,https://doi.org/10.5194/essd-2025-43, 2025
Preprint under review for ESSD
Short summary
A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust
Emmanouil Proestakis, Antonis Gkikas, Thanasis Georgiou, Anna Kampouri, Eleni Drakaki, Claire L. Ryder, Franco Marenco, Eleni Marinou, and Vassilis Amiridis
Atmos. Meas. Tech., 17, 3625–3667, https://doi.org/10.5194/amt-17-3625-2024,https://doi.org/10.5194/amt-17-3625-2024, 2024
Short summary
A sensitivity study on radiative effects due to the parameterization of dust optical properties in models
Ilias Fountoulakis, Alexandra Tsekeri, Stelios Kazadzis, Vassilis Amiridis, Angelos Nersesian, Maria Tsichla, Emmanouil Proestakis, Antonis Gkikas, Kyriakoula Papachristopoulou, Vasileios Barlakas, Claudia Emde, and Bernhard Mayer
Atmos. Chem. Phys., 24, 4915–4948, https://doi.org/10.5194/acp-24-4915-2024,https://doi.org/10.5194/acp-24-4915-2024, 2024
Short summary
How well do Earth system models reproduce the observed aerosol response to rapid emission reductions? A COVID-19 case study
Ruth A. R. Digby, Nathan P. Gillett, Adam H. Monahan, Knut von Salzen, Antonis Gkikas, Qianqian Song, and Zhibo Zhang
Atmos. Chem. Phys., 24, 2077–2097, https://doi.org/10.5194/acp-24-2077-2024,https://doi.org/10.5194/acp-24-2077-2024, 2024
Short summary
Comparison of dust optical depth from multi-sensor products and MONARCH (Multiscale Online Non-hydrostatic AtmospheRe CHemistry) dust reanalysis over North Africa, the Middle East, and Europe
Michail Mytilinaios, Sara Basart, Sergio Ciamprone, Juan Cuesta, Claudio Dema, Enza Di Tomaso, Paola Formenti, Antonis Gkikas, Oriol Jorba, Ralph Kahn, Carlos Pérez García-Pando, Serena Trippetta, and Lucia Mona
Atmos. Chem. Phys., 23, 5487–5516, https://doi.org/10.5194/acp-23-5487-2023,https://doi.org/10.5194/acp-23-5487-2023, 2023
Short summary

Related subject area

Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Fluorescence properties of long-range-transported smoke: insights from five-channel lidar observations over Moscow during the 2023 wildfire season
Igor Veselovskii, Mikhail Korenskiy, Nikita Kasianik, Boris Barchunov, Qiaoyun Hu, Philippe Goloub, and Thierry Podvin
Atmos. Chem. Phys., 25, 1603–1615, https://doi.org/10.5194/acp-25-1603-2025,https://doi.org/10.5194/acp-25-1603-2025, 2025
Short summary
Lidar estimates of birch pollen number, mass, and CCN-related concentrations
Maria Filioglou, Petri Tiitta, Xiaoxia Shang, Ari Leskinen, Pasi Ahola, Sanna Pätsi, Annika Saarto, Ville Vakkari, Uula Isopahkala, and Mika Komppula
Atmos. Chem. Phys., 25, 1639–1657, https://doi.org/10.5194/acp-25-1639-2025,https://doi.org/10.5194/acp-25-1639-2025, 2025
Short summary
Distinct effects of fine and coarse aerosols on microphysical processes of shallow-precipitation systems in summer over southern China
Fengjiao Chen, Yuanjian Yang, Lu Yu, Yang Li, Weiguang Liu, Yan Liu, and Simone Lolli
Atmos. Chem. Phys., 25, 1587–1601, https://doi.org/10.5194/acp-25-1587-2025,https://doi.org/10.5194/acp-25-1587-2025, 2025
Short summary
Increased number concentrations of small particles explain perceived stagnation in air quality over Korea
Sohee Joo, Juseon Shin, Matthias Tesche, Naghmeh Dehkhoda, Taegyeong Kim, and Youngmin Noh
Atmos. Chem. Phys., 25, 1023–1036, https://doi.org/10.5194/acp-25-1023-2025,https://doi.org/10.5194/acp-25-1023-2025, 2025
Short summary
Remote-sensing detectability of airborne Arctic dust
Norman T. O'Neill, Keyvan Ranjbar, Liviu Ivănescu, Yann Blanchard, Seyed Ali Sayedain, and Yasmin AboEl-Fetouh
Atmos. Chem. Phys., 25, 27–44, https://doi.org/10.5194/acp-25-27-2025,https://doi.org/10.5194/acp-25-27-2025, 2025
Short summary

Cited articles

Adams, A. M., Prospero, J. M., and Zhang, C.: CALIPSO-derived three-dimensional structure of aerosol over the Atlantic Basin and adjacent continents, J. Climate, 25, 6862–6879, https://doi.org/10.1175/JCLI-D-11-00672.1, 2012.
Alados-Arboledas, A., Alcántara, A., Olmo, F. J., Martínez-Lozano, J. A., Estellés, V., Cachorro, V., Silva, A. M., Horvath, H., Gangl, A., Díaz, A., Pujadas, M., Lorente, J., Labajo, A., Sorribas, M., and Pavese, G.: Aerosol columnar properties retrieved from Cimel radiometers during VELETA 2002, Atmos. Environ., 42, 2630–2642, https://doi.org/10.1016/j.atmosenv.2007.10.006, 2008.
Alam, K., Trautmann, T., Blaschke, T., and Subhan, F.: Changes in aerosol optical properties due to dust storms in the Middle East and Southwest Asia, Remote Sens. Environ., 143, 216–227, https://doi.org/10.1016/j.rse.2013.12.021, 2014.
Alpert, P., Kishcha, P., Shtivelman, A., Krichak, S. O., and Joseph, J. H.: Vertical distribution of Saharan dust based on 2.5-year model predictions, Atmos. Res., 70, 109–130, https://doi.org/10.1016/j.atmosres.2003.11.001, 2004.
Amiridis, V., Kafatos, M., Perez, C., Kazadzis, S., Gerasopoulos, E., Mamouri, R. E., Papayannis, A., Kokkalis, P., Giannakaki, E., Basart, S., Daglis, I., and Zerefos, C.: The potential of the synergistic use of passive and active remote sensing measurements for the validation of a regional dust model, Ann. Geophys., 27, 3155–3164, https://doi.org/10.5194/angeo-27-3155-2009, 2009.
Download
Short summary
This study presents the 3-D structures of intense Mediterranean desert dust outbreaks, over the period Mar 2000–Feb 2013. The desert dust (DD) episodes are identified through an objective and dynamic algorithm, which utilizes satellite retrievals (MODIS, TOMS and OMI) as inputs. The performance of the satellite algorithm is evaluated vs. AERONET and PM10 data. The geometrical characteristics of the identified DD episodes are analyzed using the collocated CALIOP profiles as a complementary tool.
Share
Altmetrics
Final-revised paper
Preprint