A
Aleksander Pietruczuk
Researcher at Polish Academy of Sciences
Publications - 76
Citations - 1385
Aleksander Pietruczuk is an academic researcher from Polish Academy of Sciences. The author has contributed to research in topics: Lidar & Aerosol. The author has an hindex of 15, co-authored 72 publications receiving 1226 citations. Previous affiliations of Aleksander Pietruczuk include University of Warsaw.
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Journal ArticleDOI
Systematic lidar observations of Saharan dust over Europe in the frame of EARLINET (2000-2002)
Alexandros Papayannis,Vassilis Amiridis,Lucia Mona,G. Tsaknakis,Dimitris Balis,Jens Bösenberg,A. Chaikovski,F. De Tomasi,Ivan Grigorov,Ina Mattis,Valentin Mitev,Detlef Müller,Slobodan Nickovic,Slobodan Nickovic,Carlos Pérez,Aleksander Pietruczuk,Gianluca Pisani,François Ravetta,Vincenzo Rizi,Michaël Sicard,Thomas Trickl,Matthias Wiegner,Michael Gerding,Rodanthi-Elisavet Mamouri,Giuseppe D'Amico,Gelsomina Pappalardo +25 more
TL;DR: More than 130 observation days of the horizontal and vertical extent of Saharan dust intrusions over Europe during the period May 2000 to December 2002 were studied by means of a coordinated lidar network in the frame of the European Aerosol Research Lidar Network (EARLINET) as mentioned in this paper.
Journal ArticleDOI
EARLINET correlative measurements for CALIPSO: First intercomparison results
Gelsomina Pappalardo,Ulla Wandinger,Lucia Mona,Anja Hiebsch,Ina Mattis,Aldo Amodeo,Albert Ansmann,Patric Seifert,Holger Linné,Arnoud Apituley,Lucas Alados Arboledas,Dimitris Balis,Anatoli Chaikovsky,Giuseppe D'Amico,Ferdinando De Tomasi,Volker Freudenthaler,Elina Giannakaki,Aldo Giunta,Ivan Grigorov,Marco Iarlori,Fabio Madonna,Rodanthi-Elizabeth Mamouri,Libera Nasti,Alexandros Papayannis,Aleksander Pietruczuk,Manuel Pujadas,Vincenzo Rizi,Francesc Rocadenbosch,Felicita Russo,Franziska Schnell,Nicola Spinelli,Xuan Wang,Matthias Wiegner +32 more
TL;DR: In this paper, a major Saharan dust outbreak lasting from 26 to 31 May 2008 has been used as a case study for showing first results in terms of comparison with CALIPSO level 2 data.
Journal ArticleDOI
Four-dimensional distribution of the 2010 Eyjafjallajökull volcanic cloud over Europe observed by EARLINET
Gelsomina Pappalardo,Lucia Mona,Giuseppe D'Amico,Ulla Wandinger,Mariana Adam,Aldo Amodeo,Albert Ansmann,Arnoud Apituley,L. Alados Arboledas,Dimitrios Balis,Antonella Boselli,Juan Antonio Bravo-Aranda,Anatoli Chaikovsky,Adolfo Comerón,Juan Cuesta,Juan Cuesta,F. De Tomasi,Volker Freudenthaler,Michael Gausa,E. Giannakaki,Helmuth Giehl,Aldo Giunta,Ivan Grigorov,Silke Groß,Silke Groß,Martial Haeffelin,Anja Hiebsch,Marco Iarlori,Diego Lange,Holger Linné,Fabio Madonna,Ina Mattis,Ina Mattis,Rodanthi-Elisavet Mamouri,Michael A. P. McAuliffe,Valentin Mitev,Francisco Molero,Francisco Navas-Guzmán,Doina Nicolae,A. Papayannis,Maria Rita Perrone,Christophe Pietras,Aleksander Pietruczuk,Gianluca Pisani,Jana Preißler,Manuel Pujadas,V. Rizi,Albert A. Ruth,Jörg Schmidt,Franziska Schnell,Patric Seifert,Ilya Serikov,Michaël Sicard,Valentin Simeonov,N. Spinelli,Kerstin Stebel,Matthias Tesche,Matthias Tesche,Thomas Trickl,Xuan Wang,Frank Wagner,Matthias Wiegner,Keith M. Wilson +62 more
TL;DR: In this article, the authors show the four-dimensional (4-D) distribution of the Eyjafjallajokull volcanic cloud in the troposphere over Europe as observed by EARLINET during the entire volcanic event (15 April-26 May 2010).
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
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.