Aerosol-cloud interaction: a remote sensing study

• Grant number: 15/12793-0
• Support Opportunities: Research Program on Global Climate Change - Regular Grants
• Start date: April 01, 2016
• End date: November 30, 2018
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Meteorology
• Principal Investigator: Eduardo Landulfo
• Grantee: Eduardo Landulfo
• Host Institution: Instituto de Pesquisas Energéticas e Nucleares (IPEN). Secretaria de Desenvolvimento Econômico (São Paulo - Estado). São Paulo , SP, Brazil
• Associated researchers: Maria de Fátima Andrade

Abstract

This project subject is to evaluate the interaction between aerosols and clouds and their optical property influence on the atmosphere with respect to the transmission radiative and their impact on atmospheric radiative balance. Therefore, we will use the remote sensing laser systems available in the Laboratory Environmental Applications of the Laser Institute of Nuclear and Energy Research- Laal / IPEN - as well as the data of solar photometry in São Paulo and correlate with products available from satellites AQUA / TERRA and CALIPSO, with particular interest in MODIS and CALIOP instruments. In this project some adaptations should be incorporated into MSP-LIDAR systemI, in the recent past had a substantial upgrade via FAPESP -2009 / 16001- (Hygroscopicity Assessment of aerosols in urban atmospheres by LIDAR technique) and implementing a robust data analysis LIRIIC through the platform. The results we want to achieve will seek better understand direct and indirect effects of aerosols within the context of climate change and reduce uncertainties linked to investigations conducted to date to urban atmospheres in large cities (megacities). (AU)

Scientific publications

(6)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

LANDULFO, EDUARDO; RODRIGUEZ VEGA, ALBEHT; CALZAVARA YOSHIDA, ALEXANDRE; BASTIDAS, ALVARO; VIEIRA DOS SANTOS, AMANDA; SILVA, ANTONIETA; ARLEQUES GOMES, ANTONIO; BARJA GONZALEZ, BORIS; ANDRES MELO-LUNA, CARLOS; HOYOS, CARLOS D.; et al. LALINET NETWORK STATUS. RICAP16, 6TH ROMA INTERNATIONAL CONFERENCE ON ASTROPARTICLE PHYSICS, v. 237, p. 4-pg., 2020-01-01. (17/17047-0, 13/50510-5, 17/23810-9, 15/12793-0)

LOPES, FABIO J. S.; LUIS GUERRERO-RASCADO, JUAN; BENAVENT-OLTRA, JOSE A.; ROMAN, ROBERTO; MOREIRA, GREGORI A.; MARQUES, MARCIA T. A.; DA SILVA, JONATAN J.; ALADOS-ARBOLEDAS, LUCAS; ARTAXO, PAULO; LANDULFO, EDUARDO; et al. Rehearsal for Assessment of atmospheric optical Properties during biomass burning Events and Long-range transportation episodes at Metropolitan Area of Sao Paulo-Brazil (RAPEL). RICAP16, 6TH ROMA INTERNATIONAL CONFERENCE ON ASTROPARTICLE PHYSICS, v. 176, p. 4-pg., 2018-01-01. (15/12793-0, 16/09151-0)

DA SILVA, JONATAN; MORAIS, FERNANDO G.; FRANCO, MARCO A.; LOPES, FABIO J. S.; ARRUDA, GREGORI DE A.; YOSHIDA, ALEXANDRE C.; CORREIA, ALEXANDRE; LANDULFO, EDUARDO; LIU, D; WANG, Y; et al. EXPLORING THE TWILIGHT ZONE: A MULTI-SENSOR APPROACH. RICAP16, 6TH ROMA INTERNATIONAL CONFERENCE ON ASTROPARTICLE PHYSICS, v. 237, p. 4-pg., 2020-01-01. (10/15959-3, 15/12793-0, 18/03413-8)

DE ARRUDA MOREIRA, GREGORI; DA SILVA LOPES, FABIO JULIANO; LUIS GUERRERO-RASCADO, JUAN; DA SILVA, JONATAN JOAO; GOMES, ANTONIO ARLEQUES; LANDULFO, EDUARDO; ALADOS-ARBOLEDAS, LUCAS. Analyzing the atmospheric boundary layer using high-order moments obtained from multiwavelength lidar data: impact of wavelength choice. Atmospheric Measurement Techniques, v. 12, n. 8, p. 4261-4276, AUG 7 2019. (15/12793-0)

LOPES, FABIO J. S.; SILVA, JONATAN JOAO; ANTUNA MARRERO, JUAN CARLOS; TAHA, GHASSAN; LANDULFO, EDUARDO. Synergetic Aerosol Layer Observation After the 2015 Calbuco Volcanic Eruption Event. REMOTE SENSING, v. 11, n. 2, JAN 2 2019. (15/12793-0, 18/06720-9)

LANDULFO, EDUARDO; DA SILVA, JONATAN J.; LOPES, FABIO J. S.; COMERON, A; KASSIANOV, EI; SCHAFER, K; PICARD, RH; WEBER, K. Cloud-Aerosols interactions by multiple scenarios approach. REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XXII, v. 10424, p. 10-pg., 2017-01-01. (15/12793-0)