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Gelsomina Pappalardo
Researcher at National Research Council
Publications - 184
Citations - 5874
Gelsomina Pappalardo is an academic researcher from National Research Council. The author has contributed to research in topics: Lidar & Aerosol. The author has an hindex of 37, co-authored 182 publications receiving 5137 citations.
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Journal ArticleDOI
A methodology for investigating dust model performance using synergistic EARLINET/AERONET dust concentration retrievals
Ioannis Binietoglou,Sara Basart,Lucas Alados-Arboledas,Vassilis Amiridis,Athina Argyrouli,Holger Baars,José María Baldasano,Dimitris Balis,Livio Belegante,Juan Antonio Bravo-Aranda,Pasquale Burlizzi,Víctor M. S. Carrasco,Anatoli Chaikovsky,Adolfo Comerón,Giuseppe D'Amico,Maria Filioglou,María José Granados-Muñoz,Juan Luis Guerrero-Rascado,Luka Ilić,Panagiotis Kokkalis,Alberto Maurizi,Lucia Mona,F. Monti,Constantino Muñoz-Porcar,Doina Nicolae,Alexandros Papayannis,Gelsomina Pappalardo,Goran Pejanovic,Sergio Pereira,Maria Rita Perrone,Aleksander Pietruczuk,Michał Posyniak,Francesc Rocadenbosch,Alejandro Rodríguez-Gómez,Michaël Sicard,Nikolaos Siomos,Artur Szkop,Enric Terradellas,Alexandra Tsekeri,Ana Vukovic,Ulla Wandinger,J. Wagner +41 more
Abstract: . Systematic measurements of dust concentration profiles at a continental scale were recently made possible by the development of synergistic retrieval algorithms using combined lidar and sun photometer data and the establishment of robust remote-sensing networks in the framework of Aerosols, Clouds, and Trace gases Research InfraStructure Network (ACTRIS)/European Aerosol Research Lidar Network (EARLINET). We present a methodology for using these capabilities as a tool for examining the performance of dust transport models. The methodology includes considerations for the selection of a suitable data set and appropriate metrics for the exploration of the results. The approach is demonstrated for four regional dust transport models (BSC-DREAM8b v2, NMMB/BSC-DUST, DREAMABOL, DREAM8-NMME-MACC) using dust observations performed at 10 ACTRIS/EARLINET stations. The observations, which include coincident multi-wavelength lidar and sun photometer measurements, were processed with the Lidar-Radiometer Inversion Code (LIRIC) to retrieve aerosol concentration profiles. The methodology proposed here shows advantages when compared to traditional evaluation techniques that utilize separately the available measurements such as separating the contribution of dust from other aerosol types on the lidar profiles and avoiding model assumptions related to the conversion of concentration fields to aerosol extinction values. When compared to LIRIC retrievals, the simulated dust vertical structures were found to be in good agreement for all models with correlation values between 0.5 and 0.7 in the 1–6 km range, where most dust is typically observed. The absolute dust concentration was typically underestimated with mean bias values of -40 to -20 μg m−3 at 2 km, the altitude of maximum mean concentration. The reported differences among the models found in this comparison indicate the benefit of the systematic use of the proposed approach in future dust model evaluation studies.
Journal ArticleDOI
Multi-wavelength Raman lidar observations of the Eyjafjallajökull volcanic cloud over Potenza, southern Italy
TL;DR: In this article, a methodology both for volcanic layer identification and accurate aerosol typing has been developed based on the multi-wavelength Raman lidar measurements performed at the CNR-IMAA Atmospheric Observatory (CIAO), whenever weather conditions permitted observations.
Journal ArticleDOI
Stratospheric AOD after the 2011 eruption of Nabro volcano measured by lidars over the Northern Hemisphere
P. Sawamura,Jean-Paul Vernier,John E. Barnes,Timothy A. Berkoff,Ellsworth J. Welton,Lucas Alados-Arboledas,Francisco Navas-Guzmán,Gelsomina Pappalardo,Lucia Mona,Fabio Madonna,Diego Lange,Michaël Sicard,Sophie Godin-Beekmann,Guillaume Payen,Zifeng Wang,Shi Hu,S. N. Tripathi,Carmen Córdoba-Jabonero,Raymond M. Hoff +18 more
TL;DR: In this article, the authors report on ground-based lidar observations of the same event from every continent in the Northern Hemisphere, taking advantage of the synergy between global lidar networks such as EARLINET, MPLNET and NDACC with independent lidar groups and satellite CALIPSO.
Journal ArticleDOI
One year of CNR-IMAA multi-wavelength Raman lidar measurements in coincidence with CALIPSO overpasses: Level 1 products comparison
Lucia Mona,Gelsomina Pappalardo,Aldo Amodeo,Giuseppe D'Amico,Fabio Madonna,Antonella Boselli,Aldo Giunta,Felicita Russo,Vincenzo Cuomo +8 more
TL;DR: In this article, the results on 1-year comparisons between ground-based multi-wavelength Raman lidar measurements and corresponding CALIPSO lidar Level 1 profiles are presented.
Journal ArticleDOI
The unprecedented 2017–2018 stratospheric smoke event: decay phase and aerosol properties observed with the EARLINET
Holger Baars,Albert Ansmann,Kevin Ohneiser,Moritz Haarig,Ronny Engelmann,Dietrich Althausen,Ingrid Hanssen,Michael Gausa,Aleksander Pietruczuk,Artur Szkop,Iwona S. Stachlewska,Dongxiang Wang,Jens Reichardt,Annett Skupin,Ina Mattis,Thomas Trickl,Hannes Vogelmann,Francisco Navas-Guzmán,Alexander Haefele,Karen Acheson,Albert A. Ruth,Boyan Tatarov,Detlef Müller,Qiaoyun Hu,Thierry Podvin,Philippe Goloub,Igor Veselovskii,Christophe Pietras,Martial Haeffelin,Patrick Fréville,Michaël Sicard,Adolfo Comerón,Alfonso Javier Fernández García,Francisco Molero Menéndez,Carmen Córdoba-Jabonero,Juan Luis Guerrero-Rascado,Lucas Alados-Arboledas,Daniele Bortoli,Maria João Costa,Davide Dionisi,G. L. Liberti,Xuan Wang,Alessia Sannino,Nikolaos Papagiannopoulos,Antonella Boselli,Lucia Mona,Giuseppe D'Amico,Salvatore Romano,Maria Rita Perrone,Livio Belegante,Doina Nicolae,Ivan Grigorov,Anna Gialitaki,Vassilis Amiridis,Ourania Soupiona,Alexandros Papayannis,Rodanthi Mamouri,Argyro Nisantzi,Birgit Heese,Julian Hofer,Yoav Y. Schechner,Ulla Wandinger,Gelsomina Pappalardo +62 more
TL;DR: In this article, the decay phase of an unprecedented, record-breaking stratospheric perturbation caused by wildfire smoke is reported and discussed in terms of geometrical, optical, and microphysical aerosol properties.