Dr. Michaël Sicard Profile

Dr. Michaël Sicard

Associate Professor at Univ Politècnica de Catalunya

SPIE Involvement:

Author

Publications (26)

Proceedings Article | 19 October 2023 Presentation + Paper

Presentation + Paper

Analysis of atmospheric aerosol properties using lidar measurements and their impact on radiative budget in Barcelona over the past 20 years

Simone Lolli, Michaël Sicard, Adolfo Comerón, Cristina Gil-Díaz, Daniel Camilo Dos Santos Oliveira, Tony Landi, Alejandro Rodríguez-Gómez, Constantino Munoz-Porcar, Francesc Rocadenbosch, Federico Dios

Proceedings Volume 12730, 1273007 (2023) https://doi.org/10.1117/12.2685167

KEYWORDS: Aerosols, LIDAR, Atmospheric particles, Backscatter, Climatology, Atmospheric modeling, Environmental sensing, Clouds, Air quality, Raman spectroscopy

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Proceedings Article | 28 October 2022 Presentation + Paper

Presentation + Paper

Use of pure rotational Raman channels for lidar measurement of aerosol extinction coefficient: the EARLINET/ACTRIS Barcelona station experience

Alejandro Rodríguez-Gómez, Constantino Muñoz-Porcar, José-Alex Zenteno-Hernández, Adolfo Comerón, Federico Dios, Michaël Sicard, Cristina Gil-Díaz, Daniel Camilo F. Oliveira, Charly Mandal

Proceedings Volume 12265, 1226507 (2022) https://doi.org/10.1117/12.2636427

KEYWORDS: Raman spectroscopy, LIDAR, Aerosols, Backscatter, Signal detection, Interference filters, Signal attenuation, Ultraviolet radiation, Scattering

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Proceedings Article | 9 October 2019 Presentation + Paper

Presentation + Paper

Modelling of airborne pollen dispersion in the atmosphere in the Catalonia region, Spain: model description, emission scheme and evaluation of model performance for the case of Pinus

Michaël Sicard, Oriol Jorba, Rebeca Izquierdo, Marta Alarcón, Concepción De Linares, Jordina Belmonte

Proceedings Volume 11152, 111520O (2019) https://doi.org/10.1117/12.2534819

KEYWORDS: Atmospheric modeling, Meteorology, LIDAR, Performance modeling, Solar radiation models, Particles, Aerosols, Modeling, Atmospheric particles, Humidity

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Pollination is a biologically-relevant process that affects the structure of ecosystems since pollen contributes to determine the spatial distribution of plant species. It is thus of interest for mapping ecosystem services for policy support and decision making to increase our knowledge of pollen grain behavior in the atmosphere (source, emission, processes involved during their transport, etc.) at fine temporal and spatial scales. First simulations with the Barcelona Supercomputing Center MONARCH dispersion model (known before as NMMB/BSC-CTM) of Pinus pollen in the atmosphere were performed during a 5-day pollination event observed in Barcelona, Spain, between 27 – 31 March, 2015. MONARCH is an online atmospheric composition model that solves the life cycle of water vapor, gases and aerosols within a meteorological model. A new aerosol emission scheme for pollen grains has been implemented in the system. The emission scheme considers wind speed at 10 m, friction velocity, and temperature and specific humidity at 2 m as main drivers of the mobilization of Pinus pollen grains. The meteorological information is available for the emission scheme at each meteorological integration time step. The spatial distribution of the pine species (P. halepensis, P. pinea) that pollinate from February to April in Catalonia has been derived from the Cartography of habitats of Catalonia and the tree density was obtained from the Forest Inventory of Catalonia. A domain over north-east Spain at 9 km x 9 km horizontal resolution covering Catalonia is designed with 48 vertical layers. The initial and boundary meteorological conditions are derived from the fifth major global ECMWF ReAnalysis (ERA-5). To evaluate the model performances, the simulations are compared (i) to groundbased concentration measurements performed with a Hirst collector in Barcelona downtown, and (ii) to vertically-resolved measurements performed 4 km west of Barcelona downtown with a Micro Pulse Lidar (MPL). A method based on the lidar polarization capabilities was used to retrieve the contribution of the pollen to the total signal. The conversion from optical lidar-retrieved properties to concentration was optimized by minimizing the sum of the squared deviations between the lidar-retrieved concentration at the first height and the true (Hirst) concentration measured at the ground. In terms of surface concentration, the simulation performs well during the center of the event with major underestimation at the beginning. As far as the vertical distribution of airborne Pinus pollen is concerned, simulations reproduce well the shape of the profiles but the intensity tends to be underestimated. Three major limitations are identified with the model runs: (1) the poorly known phenology emission function, (2) the temporal development of the convective planetary boundary layer in coastal areas, which directly affects the vertical structure of the pollen dispersion; (3) the development of the sea breeze and a proper representation of the sea coast line, that play a significant role on the skills of the meteorological mesoscale model.

Proceedings Article | 9 October 2019 Presentation + Paper

Presentation + Paper

An automatic light rain detection algorithm on NASA MPLNET lidar observations in the frame of WMO GALION project

Simone Lolli, Michaël Sicard, Gemine Vivone, Jasper Lewis, Ellsworth Welton, Adolfo Comerón

Proceedings Volume 11152, 1115208 (2019) https://doi.org/10.1117/12.2533571

KEYWORDS: LIDAR, Clouds, Algorithm development, Meteorology, Detection and tracking algorithms, Aerosols, Signal detection, Composites, Atmospheric optics, Image processing

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The water cycle strongly influences life on Earth. In particular, the precipitation modifies the atmospheric column thermodynamics through the process of evaporation and serves as a proxy for latent heat modulation. For this reason, a correct precipitation parameterization (especially low-intensity precipitation) at global scale, bedsides improving our understanding of the hydrological cycle, it is crucial to reduce the associated uncertainty of the global climate models to correctly forecast future scenarios, i.e. to apply fast mitigation strategies. In this study we developed an algorithm to automatically detect precipitation from lidar measurements obtained by the National and Aeronautics Space Administration (NASA) Micropulse lidar network (MPLNET) permanent observational site in Goddard. The algorithm, once full operational, will deliver in Near Real Time (latency 1.5h) a new rain mask product that will be publicly available on MPLNET website as part of the new Version 3 Level 1.5 data. The methodology, based on an image processing technique, can detect only light precipitation events (defined by intensity and duration) as the morphological filters used through the detection process are applied on the lidar volume depolarization ratio range corrected composite images, i.e. heavy rain events are unusable as the lidar signal is completely extinguished after few meters in the precipitation or no signal detected because of the water accumulated on the receiver optics. Results from the algorithm, besides filling a gap in precipitation and virga detection by radars, are of particular interest for the scientific community because will help to better understand long-term aerosol-cloud interactions and aerosol atmospheric removal (scavenging effect) by rain as multi-year database being available for several MPLNET permanent observational sites across the globe. Moreover, we developed the automatic algorithm at Universitat Politecnica de Catalunya (UPC) Barcelona, the unique permanent observation station member of MPLNET and the European Aerosol Lidar Network (EARLINET) In the future the algorithm can be then easily applied to any other lidar and/or ceilometer network infrastructure in the frame of World Meteorological Organization (WMO) Global Aerosol Watch (GAW) aerosol lidar observation network (GALION)

Proceedings Article | 19 October 2016 Presentation + Paper

Presentation + Paper

Atmospheric dispersion of airborne pollen evidenced by near-surface and columnar measurements in Barcelona, Spain

Michaël Sicard, Rebeca Izquierdo, Oriol Jorba, Marta Alarcón, Jordina Belmonte, Adolfo Comerón, Concepción De Linares, José Maria Baldasano

Proceedings Volume 10001, 100010L (2016) https://doi.org/10.1117/12.2244517

KEYWORDS: LIDAR, Backscatter, Aerosols, Atmospheric modeling, Remote sensing, Atmospheric sensing, Meteorology, Particles, Humidity, Modeling

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Proceedings Article | 16 October 2015 Paper

Paper

Estimation of aerosol direct radiative forcing in Lecce during the 2013 ADRIMED campaign

Ruben Barragan, Salvatore Romano, Michaël Sicard, Pasquale Burlizzi, Maria-Rita Perrone, Adolfo Comeron

Proceedings Volume 9640, 96400J (2015) https://doi.org/10.1117/12.2194095

KEYWORDS: Aerosols, Atmospheric modeling, Atmospheric particles, LIDAR, Radiative transfer, Climatology, Clouds, Radiometry, Backscatter, Minerals

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Proceedings Article | 21 October 2014 Paper

Paper

Variability of Mediterranean aerosols properties at three regional background sites in the western Mediterranean Basin

Michaël Sicard, Julien Totems, Rubén Barragan, François Dulac, Marc Mallet, Adolfo Comerón, Lucas Alados-Arboledas, Patrick Augustin, Patrick Chazette, Jean-François Léon, Francisco José Olmo-Reyes, Jean-Baptiste Renard, Francesc Rocadenbosch

Proceedings Volume 9242, 92420E (2014) https://doi.org/10.1117/12.2068694

KEYWORDS: Aerosols, LIDAR, Atmospheric particles, Refractive index, Scattering, Particles, Climatology, Meteorology, Minerals, IRIS Consortium

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Proceedings Article | 17 October 2013 Paper

Paper

Estimation of a radiative transfer model in the longwave spectral range: sensitivity study and application to real cases

Michaël Sicard, Santi Bertolín, Marc Mallet, Philippe Dubuisson, Adolfo Comerón

Proceedings Volume 8890, 88900L (2013) https://doi.org/10.1117/12.2029471

KEYWORDS: Aerosols, Atmospheric modeling, Atmospheric particles, Particles, Refractive index, Radiative transfer, Shortwaves, Minerals, Absorption, Optical properties

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Proceedings Article | 26 October 2011 Paper

Paper

Wind speed and turbulence estimation with a backscatter lidar at a single line of sight

Sergio Tomas, Michaël Sicard, Francesc Rocadenbosch

Proceedings Volume 8177, 817703 (2011) https://doi.org/10.1117/12.898106

KEYWORDS: Turbulence, LIDAR, Aerosols, Atmospheric modeling, Correlation function, Backscatter, Statistical analysis, Diffusion, Wind measurement, Doppler effect

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Proceedings Article | 13 October 2011 Paper

Paper

Wind speed and direction measurements with a backscatter lidar using the auto-correlation contour analysis

Sergio Tomas, Michaël Sicard, Francesc Rocadenbosch

Proceedings Volume 8177, 817702 (2011) https://doi.org/10.1117/12.898096

KEYWORDS: LIDAR, Aerosols, Backscatter, Atmospheric particles, Correlation function, Tolerancing, Atmospheric modeling, Wind measurement, Temporal resolution, Doppler effect

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Proceedings Article | 30 September 2011 Paper

Paper

Six-channel polychromator design and implementation for the UPC elastic/Raman lidar

Dhiraj Kumar, Francesc Rocadenbosch, Michaël Sicard, Adolfo Comeron, Constantino Muñoz, Diego Lange, Sergio Tomás, Eduard Gregorio

Proceedings Volume 8182, 81820W (2011) https://doi.org/10.1117/12.896305

KEYWORDS: LIDAR, Sensors, Ultraviolet radiation, Lenses, Composites, Photodetectors, Raman spectroscopy, Near infrared, Receivers, Optical design

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Proceedings Article | 26 October 2010 Paper

Paper

EARLINET observations of the Eyjafjallajökull ash plume over Europe

Gelsomina Pappalardo, Aldo Amodeo, Albert Ansmann, Arnoud Apituley, Lucas Alados Arboledas, Dimitris Balis, Christine Böckmann, Anatoli Chaikovsky, Adolfo Comeron, Giuseppe D'Amico, Ferdinando De Tomasi, Volker Freudenthaler, Elina Giannakaki, Aldo Giunta, Ivan Grigorov, Ove Gustafsson, Silke Gross, Martial Haeffelin, Marco Iarlori, Stefan Kinne, Holger Linné, Fabio Madonna, Rodanthi Mamouri, Ina Mattis, Michael McAuliffe, Francisco Molero, Lucia Mona, Detlef Müller, Valentin Mitev, Doina Nicolae, Alexandros Papayannis, Maria Rita Perrone, Aleksander Pietruczuk, Manuel Pujadas, Jean-Philippe Putaud, Francois Ravetta, Vincenzo Rizi, Ilya Serikov, Michael Sicard, Valentin Simeonov, Nicola Spinelli, Kerstin Stebel, Thomas Trickl, Ulla Wandinger, Xuan Wang, Frank Wagner, Matthias Wiegner

Proceedings Volume 7832, 78320J (2010) https://doi.org/10.1117/12.869016

KEYWORDS: Aerosols, LIDAR, Atmospheric particles, Raman spectroscopy, Backscatter, Refractive index, Climatology, Physics, Particles, Clouds

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Proceedings Article | 12 October 2010 Paper

Paper

Atmospheric boundary-layer height estimation by adaptive Kalman filtering of lidar data

Sergio Tomás, Francesc Rocadenbosch, Michaël Sicard

Proceedings Volume 7827, 782704 (2010) https://doi.org/10.1117/12.866477

KEYWORDS: LIDAR, Atmospheric modeling, Signal to noise ratio, Filtering (signal processing), Backscatter, Statistical analysis, Digital filtering, Atmospheric particles, Atmospheric sensing, Electronic filtering

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Proceedings Article | 9 October 2009 Paper

Paper

Coordinated lidar observations of Saharan dust over Europe in the frame of EARLINET-AS0S project during CALIPSO overpasses: a strong dust case study analysis with modeling support

A. Papayannis, V. Amiridis, L. Mona, R. Mamouri, A. Apituley, L. Alados-Arboledas, D. Balis, A. Chaikovski, F. de Tomasi, I. Grigorov, O. Gustafsson, H. Linnè, I. Mattis, V. Mitev, F. Molero, D. Müller, D. Nicolae, C. Pérez, A. Pietruczuk, J. Putaud, F. Ravetta, V. Rizi, F. Schnell, M. Sicard, V. Simeonov, K. Stebel, T. Trickl, G. D'Amico, G. Pappalardo, X. Wang

Proceedings Volume 7479, 74790C (2009) https://doi.org/10.1117/12.830842

KEYWORDS: Aerosols, LIDAR, Atmospheric modeling, Backscatter, 3D modeling, Raman spectroscopy, Performance modeling, Minerals, Atmospheric particles, Remote sensing

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Proceedings Article | 25 September 2009 Paper

Paper

Aerosol stratification characterization of an astronomical site by means of a backscatter lidar at the Roque de los Muchachos Observatory

M. Sicard, S. Tomás, M. N. Md Reba, A. Comerón, O. Batet, C. Muñoz-Porcar, A. Rodriguez, F. Rocadenbosch, C. Muñoz-Tunon, J. Fuensalida

Proceedings Volume 7475, 74750P (2009) https://doi.org/10.1117/12.833707

KEYWORDS: Aerosols, LIDAR, Telescopes, Mass attenuation coefficient, Atmospheric particles, Astronomy, Observatories, Atmospheric optics, Backscatter, Large telescopes

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Proceedings Article | 17 October 2007 Paper

Paper

EARLINET correlative measurements for CALIPSO

Ina Mattis, Lucia Mona, Detlef Müller, Gelsomina Pappalardo, Lucas Alados-Arboledas, Giuseppe D'Amico, Aldo Amodeo, Arnoud Apituley, José Maria Baldasano, Christine Böckmann, Jens Bösenberg, Anatoli Chaikovsky, Adolfo Comeron, Elina Giannakaki, Ivan Grigorov, Juan Luis Guerrero Rascado, Ove Gustafsson, Marco Iarlori, Holger Linne, Valentin Mitev, Francisco Molero Menendez, Doina Nicolae, Alexandros Papayannis, Carlos Perez Garcia-Pando, Maria Rita Perrone, Aleksander Pietruczuk, Jean-Philippe Putaud, Francois Ravetta, Alejandro Rodríguez, Patric Seifert, Michaël Sicard, Valentin Simeonov, Piotr Sobolewski, Nicola Spinelli, Kerstin Stebel, Andreas Stohl, Matthias Tesche, Thomas Trickl, Xuan Wang, Matthias Wiegner

Proceedings Volume 6750, 67500Z (2007) https://doi.org/10.1117/12.738090

KEYWORDS: LIDAR, Aerosols, Backscatter, Raman spectroscopy, Atmospheric particles, Climatology, Satellites, Clouds, Atmospheric modeling, Data centers

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Proceedings Article | 12 October 2006 Paper

Paper

A straightforward signal-to-noise ratio estimator for elastic/Raman lidar signals

Mohd Nadzri Md Reba, Francesc Rocadenbosch, Michaël Sicard

Proceedings Volume 6362, 636223 (2006) https://doi.org/10.1117/12.690744

KEYWORDS: Signal to noise ratio, LIDAR, Interference (communication), Raman spectroscopy, Linear filtering, Receivers, Fermium, Frequency modulation, Analog electronics, Photon counting

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Proceedings Article | 3 October 2006 Paper

Paper

Engineering of a water-vapour Raman elastic-backscatter lidar at the Technical University of Catalonia, Spain

Dhiraj Kumar, Michaël Sicard, Sergio Tomás, Constantino Muñoz, Francesc Rocadenbosch, Adolfo Comerón

Proceedings Volume 6367, 63670U (2006) https://doi.org/10.1117/12.690701

KEYWORDS: Signal to noise ratio, LIDAR, Raman spectroscopy, Atmospheric modeling, Telescopes, Aerosols, Backscatter, Photon counting, Atmospheric particles, Analog electronics

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Proceedings Article | 22 April 2005 Paper

Paper

Lidar techniques for remote sensing of the atmosphere

Adolfo Comeron, Francesc Rocadenbosch, Alejandro Rodriguez, Miguel Angel Lopez, Constantino Munoz, David Garcia Vizcaino, Michael Sicard

Proceedings Volume 5830, (2005) https://doi.org/10.1117/12.618854

KEYWORDS: LIDAR, Atmospheric particles, Backscatter, Atmospheric sensing, Atmospheric optics, Aerosols, Atmospheric laser remote sensing, Molecules, Doppler effect, Raman spectroscopy

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Proceedings Article | 30 November 2004 Paper

Paper

Iterative method for the retrieval of the aerosol backscatter coefficient and the Ångström exponent from bi-wavelength lidar data in low-transmittance atmospheres

Michael Sicard, Francesc Rocadenbosch, Adolfo Comeron, Miguel Angel Lopez

Proceedings Volume 5571, (2004) https://doi.org/10.1117/12.565621

KEYWORDS: LIDAR, Backscatter, Aerosols, Atmospheric particles, Lawrencium, Signal attenuation, Mass attenuation coefficient, Humidity, Atmospheric sensing, Clouds

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Proceedings Article | 16 February 2004 Paper

Paper

Determination of the mixing layer height from regular lidar measurements in the Barcelona area

Michael Sicard, Carlos Perez, Adolfo Comeren, Jose Baldasano, Francesc Rocadenbosch

Proceedings Volume 5235, (2004) https://doi.org/10.1117/12.511481

KEYWORDS: LIDAR, Aerosols, Clouds, Climatology, Troposphere, Backscatter, Atmospheric particles, Fourier transforms, Databases, Temperature metrology

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Proceedings Article | 12 January 2004 Paper

Paper

Statistical considerations on the Raman inversion algorithm: data inversion and error assessment

Francesc Rocadenbosch, Michael Sicard, Albert Ansmann, Ulla Wandinger, Volker Matthias, Gelsomina Pappalardo, Christine Bockmann, Adolfo Comeron, Alejandro Rodriguez, Constantino Munoz, Miguel Lopez, David Garcia

Proceedings Volume 5240, (2004) https://doi.org/10.1117/12.509641

KEYWORDS: Error analysis, Raman spectroscopy, LIDAR, Signal to noise ratio, Atmospheric optics, Aerosols, Backscatter, Atmospheric particles, Signal attenuation, Nickel

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Proceedings Article | 18 April 2003 Paper

Paper

Characterization of aerosol backscatter-to-extinction ratio from multiwavelength and multi-angular lidar profiles

Michael Sicard, Francesc Rocadenbosch, Miguel Lopez, Adolfo Comeron, Alejandro Rodriguez, Constantino Munoz, David Garcia-Vizcaino

Proceedings Volume 4882, (2003) https://doi.org/10.1117/12.477560

KEYWORDS: Aerosols, LIDAR, Backscatter, Atmospheric particles, Signal to noise ratio, Atmospheric optics, Optical properties, Pollution, Earth's atmosphere, Clouds

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Proceedings Article | 31 January 2001 Paper

Paper

Development of a small portable eyesafe unattended scanning lidar for analysis of the structural and optical properties of tropospheric aerosols

Michael Sicard, Jacques Pelon, Jean Buis, Patrick Chazette

Proceedings Volume 4168, (2001) https://doi.org/10.1117/12.413862

KEYWORDS: LIDAR, Aerosols, Atmospheric particles, Signal to noise ratio, Backscatter, Tomography, Atmospheric modeling, Optical properties, Clouds, Atmospheric optics

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SPIE Journal Paper | 1 February 1999

Thermal-infrared field radiometer for vicarious cross-calibration: characterization and comparisons with other field instruments

Michael Sicard, Paul Spyak, Gerard Brogniez, Michel Legrand, Nader Abuhassan, Christophe Pietras, Jean Buis

OE, Vol. 38, Issue 02, (February 1999) https://doi.org/10.1117/12.10.1117/1.602094

KEYWORDS: Radiometry, Calibration, Temperature metrology, Black bodies, Sensors, Mirrors, Signal detection, Transmittance, Remote sensing, Signal to noise ratio

Proceedings Article | 18 September 1997 Paper

Paper

Characterization of a thermal-infrared field radiometer

Michael Sicard, Paul Spyak

Proceedings Volume 3117, (1997) https://doi.org/10.1117/12.278925

KEYWORDS: Radiometry, Calibration, Black bodies, Temperature metrology, Optical filters, Sensors, Signal detection, Signal to noise ratio, Mirrors, Electronic filtering

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Showing 5 of 26 publications

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